aPriori provides design and sourcing Insights to unlock and identify new opportunities for reducing product cost and carbon footprint, optimizing manufacturing and supply chain risk, and improving design engineering and sourcing teams’ productivity. Their automated Insights Platform is used to reduce time to market, meet sustainability targets, and accelerate revenue growth. What are Manufacturing Insights? aPriori’s Manufacturing Insights Platform simulates each step of the…
N/A
Digital.ai TeamForge
Score7 out of 10
Enterprise companies (1,001+ employees)
Digital.ai (formerly CollabNet) aims to help enterprises and government organizations deliver high-quality software at speed with TeamForge, its application lifecycle management suite. According to the vendor, Digital.ai offers innovative solutions, provides consulting and Agile training services, supports more than 10,000 customers with 6 million users in 100 countries, and has been recognized for 13 consecutive years as SD Times 100 “Best in Show” winner in the…
From my experience aPriori is a classical algorithm in data mining. It is used for mining frequent itemsets and relevant association rules. Also, it is devised to operate on a database containing a lot of transactions, for instance, items brought by customers in a store. Whereas aPriori requires high computation if the itemsets are very large and the minimum support is kept very low and the entire database needs to be scanned.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
CollabNet TeamForge is more well-suited for technically knowledgeable users such as developers, systems analysts, QA but not for non-technical users due to the technical data used throughout the tool. CollabNet TeamForge is appropriate for most applications development. In any industry especially suited for high demand software delivery environments.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Sheet Metal-Process Group, Transfer Die is at the Best, which gives detailed operation setup for the Parts as well as shows the number of parts in the Sheet i.e nested Loop thereby reducing the Scrap as well (Scrap Management)
Forging-Steel: Very good for for medium and complex medium Hot Forging type parts. Machine overhead data is very detailed where facts are used for the negotiation i.e Electricity Rate, Power, Labour Rate, Maintenance rate, etc.
Surface Treatment / Other Secondary Process such as powder coating, wet coat, electro plating: These all work well. We can also use masking options the treatment, In the event of of any leak tests or X-Ray inspections, we can add the process which will then account the pre/post operation time for the treatments
2-Model Machining: Machines and routing combinations are huge and can be used to determine the most economic way to produce these parts. We can also override to find the supplier methodology and cost. It gives very detailed information on the feed rate, speed rate, and power capacity.
Geometric Dimensioning and Tolerating (GD&T) can be added on the GCD's which will help detect the super finishing process, which is another advantage. In the current 2016 R2 SP, aPriori can detect it from the CAD Models
Design to Cost feature, provides the design engineers as well as cost engineers to understand the which feature take most cycle time and whether changing that feature reduces the complexity in machining thereby cycle time can be reduced
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
I would like to see personalization for managing artifacts, that is, allowing the user to customize pages and save personalized settings and then save them as bookmarks.
I would like an improved subversion browser such as a graphical user interface rather than a basic file explorer.
I would like built in features for CollabNet TeamForge integrated with subversion so that i can associate my private code branches and code changes.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Not to Lose the Position of Product Cost Management Importance
Make Costing Simple and Ease
Traceablitlity of Previous Costed
Helps Design Engineers to actually look for the Which Feature contributes for the Most Cycle Time and help Design Engineers to re-design the CAD Model and look for the changes in the Cycle Time and the Machining parameters
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
No answers on this topic
Usability
aPriori Technologies
I'm fairly happy with the product. My company appreciates the ability to customize the software, as well as manage our own data points for costs, machines, and materials. The coding aspect is not too difficult as well, though there are some issues with the availability of some information that could be improved.
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
No answers on this topic
Support Rating
aPriori Technologies
Overall, I'm generally satisfied with the response and results that I get from aPriori support. They are intuitive, and try to understand what it is I'm trying to do, or how the problem is affecting me or my organization. They also are very available across the globe, as my team is located in multiple regions.
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
They always answer the phone when we put a call in, any time. They have consistently sent out contractors when needed and were there every step of the way when we switched over from ClearCase to TeamForge years ago. The support is what you really pay for when you buy into TeamForge.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
aPriori team helped a lot for the implementation, as they were on remote and helping for the file run and implementing the same on remote. aPriori team extrended full support for the implementation resolving the bottleneck and bugs if any during installing the software's also, they provide professional services in order to resolve some technical issue
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
No answers on this topic
Alternatives Considered
aPriori Technologies
aPriori is covering a lot of different processes instead of being an expert in only one. It can read geometric [information] directly from the CAD file so there's no need for manual entry or the risk of a mistake that comes with that. It provides data in a lot of different regions around the world this keeping the data up to date.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
CollabNet TeamForge is superior to Mercury mainly because it has a subversion change management tool integrated with the product. CollabNet TeamForge offers more complexity but with more flexibility for managing and tracking projects. I think CollabNet TeamForge is more comprehensive than either Mercury and JIRA. They're all user friendly tools with short learning curves but CollabNet TeamForge is most efficient in my experience. JIRA was recently adopted for particular applications and is currently being evaluated by various technology teams.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The main negative impact is that it is costly, a waste of time to hold a vast number of candidate sets with many frequent itemsets, low minimum support, or large itemsets.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info