aPriori

aPriori

Manufacturing Insights Platform

aPriori

aPriori is a product of aPriori

aPriori is the leading Manufacturing Insights Platform. It delivers strategic insights so manufacturers know how to design a product and where to manufacture it to optimize cash flow, accelerate revenue growth and improve margins.

This collaborative software combines Product Cost Management, Design for Manufacturing and Sustainability, and Supplier Collaboration capabilities. The technology includes more than 450 manufacturing process simulations and 87 regional economic models. As a result, manufacturers yield insights that accelerate time to market by 20%, while achieving in huge cost savings and a decreased CO2 footprint. aPriori's Manufacturing Insights Platform connects Design Engineers, Cost Experts, and Sourcing/Procurement teams.

aPriori provides a unique, end-to-end digital twin solution that empowers manufacturers to identify new opportunities rapidly for innovation and cost savings.

With aPriori, customers achieve a ~600% ROI within three years and payback within six months of adopting the software platform. aPriori also boosts manufacturers' digital thread investments i.e. in the creation of a continuous connection and collaboration between all phases of a product's life cycle, from conception and design to production, maintenance and possible recycling. And this promotes business agility and risk minimization.

Upload any CAD file into digital factories and aPriori will automatically generate a detailed manufacturability analysis in real time.

aPriori - the leading Manufacturing Insights Platform

Main benefits

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  Connection of all phases of the product development lifecycle

  Integration with your PLM and CAD systems to automatically analyze components

  Timely feedback regarding cost estimates and potential DFM (Design for Manufacturing) issues of the analyzed parts or assemblies

  Increased productivity, reduced costs, faster time to market, and higher profit margins

 Access to suppliers with availability and a good price

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Insights

CASE STUDY

Structural optimization of a bridge beam section subjected to instability of equilibrium

CAE and numeric simulation guides engineers to an optimal design for structural safety at the lowest cost

This technical article describes how engineers tackled a design optimization challenge to ensure the structural integrity of a section of the beam of a typical steel bridge whose web of main beams was subject to instability.

civil-engineering modefrontier optimization

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CASE STUDY

Optimization of an automotive manufacturing system design taking into account regional requirements

Applying CAE to facilitate business CapEx decision making in the automotive manufacturing sector

In this case study, EnginSoft engineers explain how they used modeFRONTIER to assist Comau, a Fiat Chrysler subsidiary, to optimize their approach to the preliminary design of production systems for automotive manufacturing system RFQs.

automotive optimization rail-transport modefrontier SIMUL8 iphysics industry4

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CASE STUDY

Introducing Skippy: an athletic monopedal robot, designed for a repertoire of behaviors

Demonstrating the effectiveness of a systematic, complete design approach to achieve extreme, unprecedented behaviors

This article discusses a realistic multi-objective parameter optimization study of a highly athletic one-legged robot, called Skippy, in which both the parameters of the mechanism and the parameters of its optimal behaviors were sought.

optimization modefrontier biomechanics

CASE STUDY

Faster than the wind: the optimization experience in the America’s Cup Challenge

New America’s Cup regulations: a design challenge

Sailing and engineering teams have been dealing with a new set of challenges ranging from boat handling, tactics and, it goes without saying, the design of these new vessels and their subsystems.

marine optimization modefrontier

CASE STUDY

Strategy to optimize the independent suspension system of an off-highway, agricultural tractor

The purpose of the case study was to implement a design methodology that used multi-disciplinary simulation and an automated process to analyse thousands of product configurations and highlight vehicle performance distributions in terms of handling, comfort, and cost. This approach ensures that the best solution is always selected.

mechanics modefrontier automotive optimization