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| Content Provider | Springer Nature Link |
|---|---|
| Author | Etienne, Alain Mirdamadi, Shirin Mohammadi, Mehrdad Babaeizadeh Malmiry, Roozbeh Antoine, Jean François Siadat, Ali Dantan, Jean Yves Tavakkoli, Reza Martin, Patrick |
| Copyright Year | 2016 |
| Abstract | Variation Management during the Product & Process Development can profoundly impact the quality, the cost of the product and the number of scraps in mass production... Designers want tight tolerances to ensure product performance; manufacturers prefer loose tolerances to reduce manufacturing and assembly cost. To analyse compromise solutions, the primary aim is to establish an objective function. This paper presents a model for the key indicators assessment to the relevance of variation management: cost, and investigates which model used in decision analysis is the most appropriate to prioritize and aggregate the predetermined performance measures. The applications of this model are demonstrated through an industrial case study where tolerance allocation, product development, problem is firstly addressed. Once optimized tolerances are attained, inspection planning, process development, problem is approached to ensure the optimized awaited quality level for the least cost. |
| Starting Page | 289 |
| Ending Page | 300 |
| Page Count | 12 |
| File Format | |
| ISSN | 19552513 |
| Journal | International Journal on Interactive Design and Manufacturing (IJIDeM) |
| Volume Number | 11 |
| Issue Number | 2 |
| e-ISSN | 19552505 |
| Language | English |
| Publisher | Springer Paris |
| Publisher Date | 2016-06-07 |
| Publisher Place | Paris |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Integrated Product and Process Design Cost Variation management Tolerancing Inspection planning Engineering Engineering Design Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design Electronics and Microelectronics, Instrumentation Industrial Design |
| Content Type | Text |
| Resource Type | Article |
| Subject | Industrial and Manufacturing Engineering Modeling and Simulation |
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