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Overview
What is aPriori Technologies?
The aPriori Manufacturing Insights Platform automates and simulates the entire production process for a digital twin CAD model. The heart of the platform is its Digital Factories which generate an array of manufacturing data that can be used by product…
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- Setup fee optional
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- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Product Demos
How Much Will My Design Cost? (2023)
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What is aPriori Technologies?
The aPriori Manufacturing Insights Platform automates and simulates the entire production process for a digital twin CAD model. The heart of the platform is its Digital Factories which generate an array of manufacturing data that can be used by product design teams, cost engineers and sourcing specialists to make better decisions daily.
What are Manufacturing Insights?
aPriori’s Manufacturing Insights Platform simulates each step of the product manufacturing process, including both primary and secondary operations. The data generated by a manufacturing simulation helps product teams to identify and eliminate any potential design or sourcing related issues that would either slow down or stop the production process and cause delays to a product launch or inflation of manufacturing costs.
Identify & Eliminate Manufacturing Obstacles Before They Slow Down Production
Digital Factories provide manufacturability analysis and directional costing that give design teams and engineers an incentive to design for manufacturing (DFM), reduce engineering change orders (ECOs), and launch products on schedule. Digital factories also provide sourcing teams with the capability to compare production environments across an extensive range of manufacturing criteria to evaluate fully burdened manufacturing costs and inform site selection. For a given product design, digital factories can be used to identify and select less expensive raw materials, cheaper manufacturing processes offering faster cycle times, and alternative finishing options.
What is Digital Factory Software?
An aPriori digital factory is a combination of two key elements: aPriori Regional Data Libraries and aPriori Manufacturing Process Models. Out-of-the-box digital factories are a baseline configuration for a production deployment. They provide benchmark estimates and manufacturing guidance. The analyses produced are based on general and reasonable manufacturing practices and average rates not specific to an individual industry. aPriori Digital Factories can be configured to represent specific manufacturing practices and cost structures of your internal facilities or even those of a trusted supplier.
aPriori Technologies Features
- Supported: aPriori can be configured on-premise or as a cloud-based solution
- Supported: aPriori solves for manufacturability and cost drivers early in the development process
- Supported: aPriori measures greenhouse gas (GHG) emissions throughout a manufacturer’s supply chain
aPriori Technologies Screenshots
aPriori Technologies Videos
aPriori: Making Profitability & Sustainability a Reality for Manufacturers Worldwide
How Manufacturing Simulation Builds a Resilient Product Innovation Process
aPriori Technologies Integrations
aPriori Technologies Competitors
aPriori Technologies Technical Details
| Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Windows, Mac |
| Mobile Application | No |
| Supported Countries | USA, EMEA, APAC |
aPriori Technologies Downloadables
Frequently Asked Questions
Reviewers rate Usability highest, with a score of 8.8.
The most common users of aPriori Technologies are from Enterprises (1,001+ employees).
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Reviews
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March 09, 2022
A Tool To Help To Boost Your Cost Estimation Process
aPriori is used to serve the following purpose: 1. To select strategic suppliers to procure parts 2. For make vs buy decision 3. Design engineers use to identify the cost of design 4. Selection of the right manufacturing process to manufacture a part 5. To validate the right suppliers, right manufacturing process, and the right location to procure. The end objective is to procure parts at optimal cost.
- Design for manufacturing
- Bulk cost
- Vpe development
- Defining the new Vpe or process
- User defined costing
- User defined process can be better
- N/A
- Vpe
- Cmwb
- Bulk cost
- Negotiation with supplier with fact and figures
- Help supplier and organization to select right process
- Target cost
aPriori is more or less an automated and self-driven tool. It uses data in VPE, logic, and constraints in the cost model to give the cost. If CAD model is there, it makes your job easy. It is possible to estimate the cost of 1000s of parts with one click using bulk costing feature.
February 26, 2022
Better service starts here
I found aPriori is a great tool that supports all stakeholders of any product lifecycle in the Design Development of Product Maintenance. Also found it as an excellent tool in the hands of a Designer to understand the impact of design on cost and identify design cost Issues and design rule violations early into the design phase. aPriori is also helping to understand the effect of alternate designs and processes.
- Easy to understand algorithm.
- In large databases, join and prune steps are easy to implement.
- The resulting rules are intuitive and easy to communicate to an end user.
- Dynamic itemset counting technique can add new candidate itemsets at any marked start point of the database during the scanning of the database.
- The transaction reduction method reduces the number of transactions scanned in interactions. The transactions which do not contain frequent items are marked removed.
- The sampling method picks a random sample from the database for frequent itemset. It may be possible to lose a global frequent itemset.
- aPriori is software for frequent itemset mining and association rule learning over a relational database.
- This software uses two steps “join” and “prune” to reduce the search space.
- aPriori proceeds by identifying the frequent individual items in the database and extending them to larger item sets as long as those item sets appear sufficiently often in the database.
- It improved our business model and strategies.
- Provided get analytics for future view.
- 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.