AU Class
AU Class
class - AU

Making the Move to a Digital Job Shop

Share this class
Search for keywords in videos, presentation slides and handouts:

Description

Learn how the new Fusion 360 Production software can take your job shop digital. This class is a beginner level. You will learn how to get real-time production visibility; how to schedule work; and how to track, plan, and monitor the job shop floor with Fusion 360 Production via a web browser and your mobile device.

Key Learnings

  • Discover Fusion 360 Production, and learn how to navigate the interface of the cloud aspect via your web browser
  • Learn how to schedule and monitor the work for the shop floor and always have your finger on the pulse
  • Learn how to monitor your machine tools with IoT
  • Learn how to use your mobile device to always remain connected

Speaker

  • Avatar for Ryan McMahon
    Ryan McMahon
    Ryan is a veteran of the manufacturing and design industry, bringing more than 25 years of experience delivering products across the medical device, IT, and high-performance computing industries. As General Manager, Manufacturing Informed Design at Autodesk, he leads a team that develops new solutions to bring manufacturing information into the design process enabling Industrialized Construction and bringing manufacturing means and methods to construction. Ryan holds three patents related to the healthcare field. His educational background includes a B.S. in Electrical Engineering and an MBA.
Video Player is loading.
Current Time 0:00
Duration 33:13
Loaded: 0.50%
Stream Type LIVE
Remaining Time 33:13
 
1x
  • Chapters
  • descriptions off, selected
  • en (Main), selected
Transcript

RYAN MCMAHON: Welcome. Thank you for taking some time to attend our class today. To make sure that you're in the right place, this is the class description. Hopefully, you are not the intended class that you wanted to be in. First and foremost, Rob and I are replacement speakers today. The originally scheduled speaker, Lars Christensen, had a baby two weeks early.

So we got called into to pickup for him, and hopefully, we're going to do is topics justice here today. Lars, in his professional career, spent a significant amount of time running a machine shop job shop. And so one of the things he had hoped to do during this period of time is articulate his experiences and some of the problems that he has faced in a manufacturing environment and how a digital job shop can address and improve some of those issues. So hopefully we'll cover all of those.

The course objectives, I think that this was-- should have been in the class when we posted all the classes. However, you may be wondering what Fusion Production is, since it is not a product that is currently listed on our product site. I'm happy to announce that today at Autodesk University, we're going to announce the availability of Fusion Production. It's a brand new offering for us that we think enables the Digital Job Shop.

And so I think it is at noon that the press release goes out, something like that. It's live today, now already, so Eastern time. So hopefully we'll tell you a little bit more about that and how you can take advantage of that to make the Digital Job Shop possible.

So real quick, show of hands, how many people running a job shop manufacturing environment, machine shop types? A few. OK. How many of you are using Autodesk CAM products today? A good chunk of you. How many are using Fusion CAM products? A handful as well. What was the other question I was supposed to ask?

AUDIENCE: Has anyone actually got data access?

Yes. Thank you very much. I know one does at least.

AUDIENCE: [INAUDIBLE]

RYAN MCMAHON: Thank you, Sanjay. Fusion Production. Yeah, so the offering that we're going to describe today that was announced today is currently in beta. And if you're interested in trying it, Rob, Sanjay, and I can all gather information and get you set up to try that offering. OK.

All right, so the brief outline of what we're going to cover today is, you know, when you're running a manufacturing job shop machine shop, there's a bunch of challenges that you face that limit the amount-- limit your business, limit your growth, limit the amount of production you can run, limit your resource utilization, and so forth.

We believe-- we're asserting that if you can digitize many of those processes that you can get access to more information quicker, that you can be more efficient, more agile, more responsive, and ultimately run a better business. And Fusion Production, that we're announcing today is a new manufacturing solution that we're offering.

So I'm going to talk a little bit about what Fusion Production is. I'm going to have Rob Melly here, who's a product manager, working for me, do a demonstration of the product. And if you want to see it live in action, it is in the factory booth. Is it just the factory booth? At the far back of the exhibition hall, they're making speaker enclosures with it. So we're kind of using it for a simple assembly use case. But you can get a feel for what the capabilities are in that product.

All right. So we're going to talk a little bit about the customer challenges that we see amongst our customers. So there's really two people that we are addressing with this overall solution. There's the operations manager, the person responsible for keeping production running, for scheduling work to the production environment, making sure that we're achieving the best utilization of the resources possible.

And one of the many challenges is simply, where is this job? Where is it in the production floor? Is it at the right machine? You know, if you don't know where the job is, it's hard to get a status. When the customer calls and says hey, are you going to make the order on time-- They're not always yelling at us, but can you accelerate the order, can you ship it sooner, how do you adjust those things.

So needing to know where those things are so you can communicate more effectively is really important. Understanding the status of the given job. Where are you in that production cycle? Have you finished, you know, x percentage of the job? Have you finished cutting? Are you in inspection? Are you in surface finishing, whatever it is? Knowing where you are with that.

Unplanned downtime, always a challenge. It's unplanned, by its very nature, but how do you recover from that? When you have unplanned downtime, where can you move your jobs? How do you get the rest of your work done is a really important thing to be able to be responsive to.

We talked a little bit about customers and when things change. And actually, that's a great segue into the managing the schedule. So what happens when you need to change your order because you have a change in priority of something? How do you keep track of what is working where and move things around dynamically as the needs of your business change? All of these things are pretty common problems. Anybody have any other problems that we haven't really listed from that, any ideas, thoughts? I'm open to discussion. No?

AUDIENCE: Providing [INAUDIBLE]

RYAN MCMAHON: Say it again?

AUDIENCE: Providing the information [INAUDIBLE]

RYAN MCMAHON: Yeah, absolutely. So good segue. So the machine operator has a different set of problems, right? How do I know that I'm working on the right docs? Do I have the right prints? Do I have the right NC code? Do I have everything that I need? The right inspection plan? That's a real difficult challenge.

And so, you know, if you are counting on the paper to be right, we all know that that isn't always true. So making sure you have the right documentation and know what you're making, what do you do next at this workstation? What is the queue of work that I should be working on?

Many times machine operators are handling multiple different machines. And so they have to keep all of that work, keep all of those machines productive, so they need to keep that all straight in their head. What is the next job that I need to queue up for each one of these workstations?

How do we capture all of the results associated with our production? Did we produce good parts? Did we have any defects? Do we have to do any re-work? And if we're doing quality, if we have measurements inspection, how are we capturing all that quality data and making it available so that people can make better decisions? You know, what job is this? You go to a workstation, what is it really working on? If the job sheet gets lost, or if it isn't there, how do you identify work that is in the production environment?

I went on a tour of the CNC company in California. And they said that they had three people whose full time jobs it was just to find lost work, run around the production environment, find lost work, try to figure out what it is, and try to get a doc with the right workstation. This is a big problem is knowing what is where.

What is this machine working on is similar to that. It's cutting something, but I'm not sure what it is. And then capturing process changes. So on my job sheet, I have a defined process. But I have to change it for some reason. I strike it out, I say what I changed. I sign my name to it, and I put my signature, or the date on it. So I have a time stamp. And now this is part of the official record.

But if many of you are like me, you have pretty horrible handwriting and being able to read that and capture that as part of your documentation is difficult. So what if you have a lot of changes? So capturing all those changes is another big challenge for our customers.

And when you look at all of these changes, there are significant costs associated with them. They're in two big buckets. One is lost productivity. You're spending all this time looking for the right documentation, looking for work, trying to figure out what something is, finding the right documentation. That is all lost productivity. And you know, when this happens frequently, that lost productivity adds up pretty quickly.

The other is waste, you know, if we make the wrong parts, or we have defects, or we need to do rework or disposition, unplanned downtime. All of these things-- you know, both of these things really impact the bottom line of your business. And so what we're hypothesizing, what we're trying to prove is that if you had better access to information about what's going on in the production environment, you'll do all of these things better. You'll be more efficient.

All right. So what is a Digital Job Shop? What can you do in a Digital Job Shop that is difficult to do with other kinds of systems? Fundamentally, it's about better communication and better understanding of what's happening in the production environment. You have access to what all the machines are doing, where all the jobs are, all that information. You have a complete set of work instructions. What am I supposed to be making? What are the right sets of documentations? Complete working instructions, rather than just a single sheet checklist of the things you have to do.

Production tracking, making sure that you can understand where everything is, what the queue of work is that's available or required for each particular workstation. How do you move things around? What is the impact of moving this job to another machine or moving it ahead in the queue, being able to understand those impacts when the customer calls and says, I need a rush order on this? Complete tracking and managing from anywhere.

So right now, with many paper-based solutions, to manage the shop floor, you have to be on a shop floor. You have to be walking the shop floor. You have to be looking at the paper-based travelers, talking to people to understand what's going on. How cool is it that if you can just look at your phone and know what workstations are working on, what jobs are where, what is the status. I can actually go home and have dinner with my family I can take lunch and not worry that something's going to happen while I'm not there. It's really a very powerful notion that you have that information and have the confidence that you know what's going on in production.

And the value of doing these things are you get to production faster, you make fewer mistakes, fewer errors. When you make mistakes, you're aware of them sooner, so that you can address them faster. You know what machines are working on. You can be much more flexible and responsive, and you can communicate with your customers better, which is always, you know-- they're always calling and need information about what's going on. If you have that information, it makes it much easier for you to have those kinds of communications with them.

And ultimately, this will help you increase your production throughput, process more jobs, more revenue, impacts the bottom line much better-- running a much better business if you're doing those things. Does this resonate with everybody? Anything I'm missing should be called out? No? OK, great.

So we talked a little bit about Fusion Production. Fusion Production is a Digital Job Shop solution from Autodesk. Pardon me. This is our description of it. We're building a cloud based solution that connects people, data, and machines. It turns on very, very quickly, instant on, access anywhere, improve overall equipment efficiency and operational efficiency, sorry, OEE.

So we're trying to build a solution that connects up many of our products. It's not just a paperless job tracking solution. So as we are launching this, we are targeting machine shop job shop kinds of customers. Your production environment looks like this. It doesn't necessarily look like an assembly line where you're doing body in white or welding auto frames or things like that.

So we want to help customers that have lots of variety of production. They're making lots of different things. And low volume is a relative thing. It can be thousands of things. But if you're making, you know, 8,000 lots of 1,000 different things, that is a different kind of production management problem.

The machines don't move a whole lot. We don't change the layout of the factory environment very often. And we build things to order. You might have a large job that is 100,000 items. You might have a small job that is one or two items. Your production can vary pretty dramatically.

And so the challenges in running an environment like this or running a manufacturing line like this is how do you make sure that you keep these machines cutting all the time? How do you know what they're working on, so that you make sure that they're cutting all the time? How do we improve the utilization of them? How do we trace traceability and compliance for our customers? Many times our customers need the full history of what's been made, who worked on it, what process has happened when. So these are some of the things. And we talked about previously about some of the challenges in more detail.

Fundamentally, what we're trying to do at Autodesk is connect our tools together in a solution, not just point tools that you use, but make them work better together. So we're trying to build an integrated production solution that connects design and CAM. From CAM, you can create, automatically create working instructions. Those detailed working instructions turns into job sheets in the production environment. And so now all of the information is available.

When the operator uses the job sheet, they can capture complete details about what happened in production. You can use a mobile device, take a picture, dictate to your phone. And so you don't have the chicken scratch that nobody can read. We're also going to make available machine data as well.

So we want to have the operator capturing information, and we want to know what your CNC machines are doing. And when you overlay those, you can correlate what has happened and do a much more robust debugging of your processes for optimization, and ultimately, you get to reporting on that. So if we can connect all of these things up in a more seamless way, we think that we've enabled a much more robust toolset or solution to allow your manager production environment.

If we're doing this, we're connecting different people that have different roles and perform different tasks. And you know, this is back to the creating the connected solution for us. And ultimately, what this will look like from Autodesk is we have Fusion 360 today, that's been in the marketplace for quite a while. Fusion Production addresses many of these other capabilities. They will be connected.

We mentioned Fusion 360 here today, but we also have integrations with PowerMill and FeatureCAM. And over time, we will be working on integrations with many more of our authoring or our process tools like Netfabb, sheet metal nesting capabilities as well. You can see many, many other places where you could define work instructions that feed into this overall solution.

We're starting with CAM. And we think that that's a pretty valuable thing to do for our customers. The last point I want to make about a solution like this is that when you have all of these in a digitized format, you enable a feedback loop that is in near real time that is very difficult to achieve today.

So from design, I know what I'm making, how I'm making it, when I'm making it. It's like what do we need to execute this, what information do I need to be able to produce it, what did I actually make, you know, using our quality data, our inspection information, our scheduling information, make all of that information available back to the manufacturing engineer to optimize, address their processes, make it available to the design engineer to figure out if they need to update their design for manufacturability or other purposes. But you enable people to work more quickly and act on more current or more recent information to make those decisions much faster in overall process.

So a little bit about what the solution is. We are building a cloud based solution. It's built on top of our Forge platform, which is a cloud based computing environment. All of the data is stored in Forge. We have APIs, and we've built various presentation layers or user interface opportunities. We have a browser based management console that allows you to author the work instructions, allows you to import or get their work instructions from the appropriate tool.

We have a mobile client for use on a shop floor. If you go down to the factory booth, you'll see the tablets in use today. It also works on Android phones as well. This is for the operator to look at what-- be able to scan a QR code, know what this machine-- the queue of work is for this machine, know what this particular job sheet is, and know what its status is in production.

These are the tools that we will integrate over time, so PowerMill, FeatureCAM, Fusion, TruNest, Power Shape, and PowerInspect. Is that right? OK. We have too many crazy icons. I just memorized them. I actually don't recognize them. Excuse me. All right.

And then the last part of this is building it as making it extensible, so that we can plug in other capabilities as well. So machine data is one that we think is particularly compelling and important for our customers. And so this is the first one that we're looking at. So we're integrating with a partner that can connect to your machines, capture data, and generate a series of reports that we can superimpose or show with the production data as well.

So there are many other third party integrations that we think make sense, DNC, Inspection Solutions. There's a litany of things that we will be exploring over time to make this environment even richer. So that's the general description. And now I'm going to hand it over to Rob to give you a quick overview of what the capabilities really look like, OK.

ROBERT MELLY: So is my screen up there? OK. Apologies I can't see everyone on that side of the room. If you have a question, feel free to shout it out. I'm just going to do a quick walk through of where we are today with Fusion Production. Really, everything centers around the idea of a digital traveler or a digital work construction. Right, this is your set of instructions of how to make a product, and it can capture any digital information you're creating with other Autodesk tools, you're CAD design, your part files, your CAM, your tool paths, your tool lists, your set up sheets. Anything that you need can go into Fusion Production as part of this digital work instruction.

So here, I have an example for a transmission end plate. You know, my router here is in my list of tasks. You know, maybe it starts from raw material that I have to go cut before I can start machining. Maybe I have three setups that I have to do on different machines or on the same machine. But the idea behind Fusion Production is that your tasks are things that your operators have to go do.

Anything that they have to spend time, and they need information to execute, it should be a task in Fusion Production. You know, a deburring task and inspection tasks as well, each of these tasks have a bunch of details in them. I will take the job instruction, I'll dispatch it to the floor, and we can walk through and see what kind of data you can attach to it.

I can set quantity on a job instruction or a job sheet. I can set, you know, a due date, tags for searchability. One of the benefits of digital is you can organize things in any way that you see fit for your shop. Using tags, you can tag it by a customer, by order name, or by an area in your shop, and search for it later. We have a custom PO number or job ID number that you can add here to integrate with ERP system and keep your job sheets on your floor synced with your ordering and your billing system.

So the job instruction is meant to be like a template of how you make a thing. To actually go do work on an order, you have to dispatch it to the floor and make it live. That's what I've done here to create a job sheet. So this is live on the shop floor. You know, so if any operator is on the floor, they know this job has to be worked on.

All of these individual tasks have a bunch of information associated with them. There's a checklist that the operator needs to go through and check off every item and say yes, I've done this before you can proceed. There's a description, items that he can go through or any notes that you need to make. Components is meant to be stock materials that you could grab, things like screws, washers, nuts and bolts.

For something like a setup, you know, we can attach tool lists. We can attach setup sheets that had been generated out of CAM. Fixturing, if you want to take photos of what a particular fixture looks like or what a particular setup looks like for a job, you can capture that and put it in here. You know, photos of what the final product is supposed to look like all get reported in the digital work instruction.

You can assign each task to a specific machine in your shop. And as the operator goes through and starts tasks, a clock is running in the background. So every task, you know when it was started, you know who started it. If you pause it, you know who paused it when. So you can start collecting rich data about the operation in your shop floor that you don't have access to today with paper based systems.

When you complete a task, you can capture photos of the completed part. You can capture defects. You can mark scrap. Using the mobile app, it's really convenient to snap photos of a finished part. Then all get recorded in the digital job traveler. On a job sheet, there's a status report that can tell you everything that's happened with that job, every task that has gone through, every operator that's executed the task. If I was taking pictures, they would show up here as well. So when your customer calls you and says, hey where's my job, you have one place to go immediately know where that job is on your floor and everything that has happened to it up to that point, you know, to make sure it stays on schedule and your customer is happy.

In our scheduling tab, it's an overview of your shop floor. You can look at all the machines that are on your floor. You can look at all the tasks that are queued up on those machines. And as a manager, you can go in and rearrange tasks just by dragging and dropping. Right now, we have queue based schedule. But we're moving to a time based schedule, so you can understand the loading on your individual machines as well. If a machine goes down, you can go in here and react on the fly, and any changes you make here get pushed to the shop floor immediately.

On the shop floor, we have a representation for each machine in your shop. As an operator, you can go to this page, and you can look at the list of tasks that are queued on the machine. So you always know what you need to work on next. The machine can have some details associated with it, again, tags. As we build this out, we plan on putting a place in here to look at maintenance schedules, you know, maintenance documentation, anything you would need to know to service this machine or operate this machine could be associated with the machine and Fusion Production.

Here we also have a demonstration of what our machine data integration looks like, and this is just representative data, but for this machine, you can look at the last 24 hours to get an idea of what your productive time was, what your up time was, and what your offline time was. So to give a sense of how we can start layering in data from different sources, to give you an idea of what your operators are reporting, to give you an idea of what your machines are reporting. And if you have other devices or sensors in your factory, you can pull that all into Fusion Production to have a unified look at your shop floor.

You know, being on the cloud, it's accessible from anywhere. You can log in from any computer, you know go to Fusion Production, see what's happening on your shop. If you have the app on your phone, you can log in, and you can immediately see what's happening on the shop floor.

There's a reporting framework to allow you to access the data and do any additional analytics that you want to on top of it. You know, and the idea here is that we want to tie together, as Ryan mentioned, all of our vertical tools, our CAM tools, you know, our design tools, anything that we have really deep expertise to start connecting the workflows. So You can go directly from CAM right into Fusion Production. You can start collecting quality data, and you can feed that back into the CAM or into design, and inform the other people within your business. If you're picking up defects, or you're seeing low utilization rates, that all gets recorded. You can analyze it, and you can take action based on that data. And I think that's what I've got.

RYAN MCMAHON: So this is a pretty quick high level overview of the capabilities that we have in Fusion Production today that we think address many of the issues that we talked about earlier in the presentation. There are several other capabilities that are pretty cool. One of the items that I want to call out is the life set up sheets.

So you know, we show that we can actually include generic sort of attachments, PDF, NC Code, and other kinds of things. The Power Mill team and the FeatureCAM team are working on something called live setup sheets, where you can take the geometry, the fixed string, and tool paths and view it interactively in a browser based viewer.

We are intending to be able to integrate that solution as well, so you can integrate this live setup sheet into the browser here, but also see it on a mobile device. And so now when you're doing your set up, you can see all of these things together and interact with it to be able to tell what's going on. It makes it much, much clearer and easier to know what you need to do to set up that particular workstation.

So that's sort of a sampling of most of the things that we have in Fusion Production. You're teaching another class at what time?

ROBERT MELLY: 1:00 PM.

RYAN MCMAHON: 1:00 PM, so I think there may some other things going on in there. So there are several other opportunities to learn about it at both of the booths, attending Rob's other class, and I'll take questions at this point. Yeah, right here. And then we'll get to you.

AUDIENCE: [INAUDIBLE]

ROBERT MELLY: So we don't intend Fusion Production to be an ERP system or an ERP replacement. But we do intend to have it integrate nicely with an ERP system. So finding the right data that we need to correlate between those two would be an important step. We're also building Fusion Production on top of Forge, so the APIs are open. So we can have nice integrations that take data from Fusion Production or take data from the ERP system and add it to Fusion Production.

RYAN MCMAHON: So I'd also add as part of our thinking about what we need to bring to market, there will be certain integrations that we choose to pursue Autodesk with other partners. With those open APIs, it gives our customers the opportunity to build things unique to them that they want to integrate with it as well. So there are many options available to take advantage of those capabilities. Did that answer your question?

AUDIENCE: [INAUDIBLE]

RYAN MCMAHON: Kind of. OK. Question?

AUDIENCE: [INAUDIBLE]

RYAN MCMAHON: We're working on how do we make it part of the educational program. Given that generally we have to set up an entire tenant, so it's not an individual thing. It kind of is a different pattern for us in releasing software. So we're working on that. We're trying to make it available for our educational customers. Right here.

AUDIENCE: [INAUDIBLE]

RYAN MCMAHON: Yeah.

AUDIENCE: [INAUDIBLE]

RYAN MCMAHON: Correct.

AUDIENCE: [INAUDIBLE]

RYAN MCMAHON: So I don't think anything really prevents you from using it in a mass production kind of way. I would say, generally, given that this is a new offering from us, [INAUDIBLE] is getting into manufacturing, and there are other solutions that have been around for a very long time, that have a tremendous amount of domain knowledge. I think that we aspire to get there.

I would just say, you know, maybe we're not ready to be there yet, but we're willing to try. But there's a maturity question, right? We need to go initially where we know that we're solving problems and it's the right scope of problems. Adding complexity around general manufacturing where you have parts, you have assemblies, you have parent assemblies, and you have that whole hierarchy and needing to branch all of that, maintain the relationships between all of us things so they come together, that's a set of capabilities that we need to flesh out in more detail.

AUDIENCE: [INAUDIBLE]

RYAN MCMAHON: Absolutely.

AUDIENCE: [INAUDIBLE]

RYAN MCMAHON: Sure. If you will--

AUDIENCE: [INAUDIBLE]

RYAN MCMAHON: If you wanted to draw a boundary around the scope of what you're manufacturing, absolutely, you could do that. Yeah, question.

AUDIENCE: [INAUDIBLE]

RYAN MCMAHON: Yeah. Yeah.

AUDIENCE: [INAUDIBLE]

RYAN MCMAHON: So we currently, we have a very simple user access control. We have an admin, we have a manager, and we have a machine operator. And the machine operator can log into a mobile device, can log into the browser, and all they can do is start and stop jobs. And they can enter completion details for the jobs that they have.

And so in that way, you're controlling what they have access to-- we don't control what they have access to to view. They can pretty much view anything, but they can-- we're controlling what they can actually change. And then we're looking at over time, can we apply access control on content as well?

So one of these cases that we're interested in is could you give access to your customer and let them view the details directly, but you would want them to see any of your other customers' data. So those are some ideas that we're exploring, but we need to get a little further. One, we need to validate that those are important things for our customers that they want to do, and then we need to figure out how to address that. Other questions over here?

AUDIENCE: [INAUDIBLE]

RYAN MCMAHON: So we do not start with-- we don't provide any templates for you to get started. We'll provide some sample content. But when you author one, your first one, then you can duplicate it, so in that way, you can use it like a template. And then-- so I guess that's the best way to answer the template question. Then, if you're making something, you can edit the job sheet in production.

So if I need to say, hey, look, I need to add a task, or I need to change something that happened, you can edit that and keep track of all of those changes without changing the parent work instructions. So the work instruction is effectively the pattern that you want to follow. When you dispatch that, those turn into instances of that work instruction they get followed in production. OK. There was another question back here. No? Yes? All right.

We'll hang around. We're happy to answer other questions if you have more detailed questions. Anything else? No? All right. Thank you very much for your time. Really appreciate it. Enjoy the rest of the show.

______
icon-svg-close-thick

Cookie preferences

Your privacy is important to us and so is an optimal experience. To help us customize information and build applications, we collect data about your use of this site.

May we collect and use your data?

Learn more about the Third Party Services we use and our Privacy Statement.

Strictly necessary – required for our site to work and to provide services to you

These cookies allow us to record your preferences or login information, respond to your requests or fulfill items in your shopping cart.

Improve your experience – allows us to show you what is relevant to you

These cookies enable us to provide enhanced functionality and personalization. They may be set by us or by third party providers whose services we use to deliver information and experiences tailored to you. If you do not allow these cookies, some or all of these services may not be available for you.

Customize your advertising – permits us to offer targeted advertising to you

These cookies collect data about you based on your activities and interests in order to show you relevant ads and to track effectiveness. By collecting this data, the ads you see will be more tailored to your interests. If you do not allow these cookies, you will experience less targeted advertising.

icon-svg-close-thick

THIRD PARTY SERVICES

Learn more about the Third-Party Services we use in each category, and how we use the data we collect from you online.

icon-svg-hide-thick

icon-svg-show-thick

Strictly necessary – required for our site to work and to provide services to you

Qualtrics
We use Qualtrics to let you give us feedback via surveys or online forms. You may be randomly selected to participate in a survey, or you can actively decide to give us feedback. We collect data to better understand what actions you took before filling out a survey. This helps us troubleshoot issues you may have experienced. Qualtrics Privacy Policy
Akamai mPulse
We use Akamai mPulse to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Akamai mPulse Privacy Policy
Digital River
We use Digital River to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Digital River Privacy Policy
Dynatrace
We use Dynatrace to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Dynatrace Privacy Policy
Khoros
We use Khoros to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Khoros Privacy Policy
Launch Darkly
We use Launch Darkly to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Launch Darkly Privacy Policy
New Relic
We use New Relic to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. New Relic Privacy Policy
Salesforce Live Agent
We use Salesforce Live Agent to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Salesforce Live Agent Privacy Policy
Wistia
We use Wistia to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Wistia Privacy Policy
Tealium
We use Tealium to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Tealium Privacy Policy
Upsellit
We use Upsellit to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Upsellit Privacy Policy
CJ Affiliates
We use CJ Affiliates to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. CJ Affiliates Privacy Policy
Commission Factory
We use Commission Factory to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Commission Factory Privacy Policy
Google Analytics (Strictly Necessary)
We use Google Analytics (Strictly Necessary) to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Google Analytics (Strictly Necessary) Privacy Policy
Typepad Stats
We use Typepad Stats to collect data about your behaviour on our sites. This may include pages you’ve visited. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our platform to provide the most relevant content. This allows us to enhance your overall user experience. Typepad Stats Privacy Policy
Geo Targetly
We use Geo Targetly to direct website visitors to the most appropriate web page and/or serve tailored content based on their location. Geo Targetly uses the IP address of a website visitor to determine the approximate location of the visitor’s device. This helps ensure that the visitor views content in their (most likely) local language.Geo Targetly Privacy Policy
SpeedCurve
We use SpeedCurve to monitor and measure the performance of your website experience by measuring web page load times as well as the responsiveness of subsequent elements such as images, scripts, and text.SpeedCurve Privacy Policy
Qualified
Qualified is the Autodesk Live Chat agent platform. This platform provides services to allow our customers to communicate in real-time with Autodesk support. We may collect unique ID for specific browser sessions during a chat. Qualified Privacy Policy

icon-svg-hide-thick

icon-svg-show-thick

Improve your experience – allows us to show you what is relevant to you

Google Optimize
We use Google Optimize to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Google Optimize Privacy Policy
ClickTale
We use ClickTale to better understand where you may encounter difficulties with our sites. We use session recording to help us see how you interact with our sites, including any elements on our pages. Your Personally Identifiable Information is masked and is not collected. ClickTale Privacy Policy
OneSignal
We use OneSignal to deploy digital advertising on sites supported by OneSignal. Ads are based on both OneSignal data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that OneSignal has collected from you. We use the data that we provide to OneSignal to better customize your digital advertising experience and present you with more relevant ads. OneSignal Privacy Policy
Optimizely
We use Optimizely to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Optimizely Privacy Policy
Amplitude
We use Amplitude to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Amplitude Privacy Policy
Snowplow
We use Snowplow to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Snowplow Privacy Policy
UserVoice
We use UserVoice to collect data about your behaviour on our sites. This may include pages you’ve visited. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our platform to provide the most relevant content. This allows us to enhance your overall user experience. UserVoice Privacy Policy
Clearbit
Clearbit allows real-time data enrichment to provide a personalized and relevant experience to our customers. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID.Clearbit Privacy Policy
YouTube
YouTube is a video sharing platform which allows users to view and share embedded videos on our websites. YouTube provides viewership metrics on video performance. YouTube Privacy Policy

icon-svg-hide-thick

icon-svg-show-thick

Customize your advertising – permits us to offer targeted advertising to you

Adobe Analytics
We use Adobe Analytics to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Adobe Analytics Privacy Policy
Google Analytics (Web Analytics)
We use Google Analytics (Web Analytics) to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Google Analytics (Web Analytics) Privacy Policy
AdWords
We use AdWords to deploy digital advertising on sites supported by AdWords. Ads are based on both AdWords data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AdWords has collected from you. We use the data that we provide to AdWords to better customize your digital advertising experience and present you with more relevant ads. AdWords Privacy Policy
Marketo
We use Marketo to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. We may combine this data with data collected from other sources to offer you improved sales or customer service experiences, as well as more relevant content based on advanced analytics processing. Marketo Privacy Policy
Doubleclick
We use Doubleclick to deploy digital advertising on sites supported by Doubleclick. Ads are based on both Doubleclick data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Doubleclick has collected from you. We use the data that we provide to Doubleclick to better customize your digital advertising experience and present you with more relevant ads. Doubleclick Privacy Policy
HubSpot
We use HubSpot to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. HubSpot Privacy Policy
Twitter
We use Twitter to deploy digital advertising on sites supported by Twitter. Ads are based on both Twitter data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Twitter has collected from you. We use the data that we provide to Twitter to better customize your digital advertising experience and present you with more relevant ads. Twitter Privacy Policy
Facebook
We use Facebook to deploy digital advertising on sites supported by Facebook. Ads are based on both Facebook data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Facebook has collected from you. We use the data that we provide to Facebook to better customize your digital advertising experience and present you with more relevant ads. Facebook Privacy Policy
LinkedIn
We use LinkedIn to deploy digital advertising on sites supported by LinkedIn. Ads are based on both LinkedIn data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that LinkedIn has collected from you. We use the data that we provide to LinkedIn to better customize your digital advertising experience and present you with more relevant ads. LinkedIn Privacy Policy
Yahoo! Japan
We use Yahoo! Japan to deploy digital advertising on sites supported by Yahoo! Japan. Ads are based on both Yahoo! Japan data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Yahoo! Japan has collected from you. We use the data that we provide to Yahoo! Japan to better customize your digital advertising experience and present you with more relevant ads. Yahoo! Japan Privacy Policy
Naver
We use Naver to deploy digital advertising on sites supported by Naver. Ads are based on both Naver data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Naver has collected from you. We use the data that we provide to Naver to better customize your digital advertising experience and present you with more relevant ads. Naver Privacy Policy
Quantcast
We use Quantcast to deploy digital advertising on sites supported by Quantcast. Ads are based on both Quantcast data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Quantcast has collected from you. We use the data that we provide to Quantcast to better customize your digital advertising experience and present you with more relevant ads. Quantcast Privacy Policy
Call Tracking
We use Call Tracking to provide customized phone numbers for our campaigns. This gives you faster access to our agents and helps us more accurately evaluate our performance. We may collect data about your behavior on our sites based on the phone number provided. Call Tracking Privacy Policy
Wunderkind
We use Wunderkind to deploy digital advertising on sites supported by Wunderkind. Ads are based on both Wunderkind data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Wunderkind has collected from you. We use the data that we provide to Wunderkind to better customize your digital advertising experience and present you with more relevant ads. Wunderkind Privacy Policy
ADC Media
We use ADC Media to deploy digital advertising on sites supported by ADC Media. Ads are based on both ADC Media data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that ADC Media has collected from you. We use the data that we provide to ADC Media to better customize your digital advertising experience and present you with more relevant ads. ADC Media Privacy Policy
AgrantSEM
We use AgrantSEM to deploy digital advertising on sites supported by AgrantSEM. Ads are based on both AgrantSEM data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AgrantSEM has collected from you. We use the data that we provide to AgrantSEM to better customize your digital advertising experience and present you with more relevant ads. AgrantSEM Privacy Policy
Bidtellect
We use Bidtellect to deploy digital advertising on sites supported by Bidtellect. Ads are based on both Bidtellect data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bidtellect has collected from you. We use the data that we provide to Bidtellect to better customize your digital advertising experience and present you with more relevant ads. Bidtellect Privacy Policy
Bing
We use Bing to deploy digital advertising on sites supported by Bing. Ads are based on both Bing data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bing has collected from you. We use the data that we provide to Bing to better customize your digital advertising experience and present you with more relevant ads. Bing Privacy Policy
G2Crowd
We use G2Crowd to deploy digital advertising on sites supported by G2Crowd. Ads are based on both G2Crowd data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that G2Crowd has collected from you. We use the data that we provide to G2Crowd to better customize your digital advertising experience and present you with more relevant ads. G2Crowd Privacy Policy
NMPI Display
We use NMPI Display to deploy digital advertising on sites supported by NMPI Display. Ads are based on both NMPI Display data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that NMPI Display has collected from you. We use the data that we provide to NMPI Display to better customize your digital advertising experience and present you with more relevant ads. NMPI Display Privacy Policy
VK
We use VK to deploy digital advertising on sites supported by VK. Ads are based on both VK data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that VK has collected from you. We use the data that we provide to VK to better customize your digital advertising experience and present you with more relevant ads. VK Privacy Policy
Adobe Target
We use Adobe Target to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Adobe Target Privacy Policy
Google Analytics (Advertising)
We use Google Analytics (Advertising) to deploy digital advertising on sites supported by Google Analytics (Advertising). Ads are based on both Google Analytics (Advertising) data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Google Analytics (Advertising) has collected from you. We use the data that we provide to Google Analytics (Advertising) to better customize your digital advertising experience and present you with more relevant ads. Google Analytics (Advertising) Privacy Policy
Trendkite
We use Trendkite to deploy digital advertising on sites supported by Trendkite. Ads are based on both Trendkite data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Trendkite has collected from you. We use the data that we provide to Trendkite to better customize your digital advertising experience and present you with more relevant ads. Trendkite Privacy Policy
Hotjar
We use Hotjar to deploy digital advertising on sites supported by Hotjar. Ads are based on both Hotjar data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Hotjar has collected from you. We use the data that we provide to Hotjar to better customize your digital advertising experience and present you with more relevant ads. Hotjar Privacy Policy
6 Sense
We use 6 Sense to deploy digital advertising on sites supported by 6 Sense. Ads are based on both 6 Sense data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that 6 Sense has collected from you. We use the data that we provide to 6 Sense to better customize your digital advertising experience and present you with more relevant ads. 6 Sense Privacy Policy
Terminus
We use Terminus to deploy digital advertising on sites supported by Terminus. Ads are based on both Terminus data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Terminus has collected from you. We use the data that we provide to Terminus to better customize your digital advertising experience and present you with more relevant ads. Terminus Privacy Policy
StackAdapt
We use StackAdapt to deploy digital advertising on sites supported by StackAdapt. Ads are based on both StackAdapt data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that StackAdapt has collected from you. We use the data that we provide to StackAdapt to better customize your digital advertising experience and present you with more relevant ads. StackAdapt Privacy Policy
The Trade Desk
We use The Trade Desk to deploy digital advertising on sites supported by The Trade Desk. Ads are based on both The Trade Desk data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that The Trade Desk has collected from you. We use the data that we provide to The Trade Desk to better customize your digital advertising experience and present you with more relevant ads. The Trade Desk Privacy Policy
RollWorks
We use RollWorks to deploy digital advertising on sites supported by RollWorks. Ads are based on both RollWorks data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that RollWorks has collected from you. We use the data that we provide to RollWorks to better customize your digital advertising experience and present you with more relevant ads. RollWorks Privacy Policy

Are you sure you want a less customized experience?

We can access your data only if you select "yes" for the categories on the previous screen. This lets us tailor our marketing so that it's more relevant for you. You can change your settings at any time by visiting our privacy statement

Your experience. Your choice.

We care about your privacy. The data we collect helps us understand how you use our products, what information you might be interested in, and what we can improve to make your engagement with Autodesk more rewarding.

May we collect and use your data to tailor your experience?

Explore the benefits of a customized experience by managing your privacy settings for this site or visit our Privacy Statement to learn more about your options.