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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Alzaman, C. Ramudhin, A. Bulgak, A.A. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Automated Manufacturing Engineering, École de Technologie Supérieure, 1100 Notre-Dame, Street West, Montreal, Quebec H3C 1K3 Canada (Ramudhin, A.) || Department of Mechanical and Industrial Engineering, Concordia University, 1455 de Maisonneuve Blvd., West, Montreal, Quebec H3G 1M8 Canada (Bulgak, A.A.) || Business Faculty, Higher College of Technology, Abu Dhabi, UAE (Alzaman, C.) |
| Abstract | In the Aerospace industry quality is an important factor and suppliers are chosen on the basis of quality as well as cost. By integrating Cost of Quality (COQ) into Supply Chain Network Design (SCND), managers could make decisions based on operational costs and also based on quality non-conformance costs. This paper presents a case study for a leading company in the Aerospace industry with COQ integrated into SCND. Further in this paper, we present a model that tailors to a real life supply chain with Cost of Quality (COQ), binary variables for assignable cost representation of supply chain nodes, and an n level bill of material (BOM) integrated; the model resulting is a nonlinear model and is challenging to solve. Six known heuristics and a new hybrid heuristic are tested and the performance of each heuristic is compared to a lower bound on the optimal solution. |
| Starting Page | 985 |
| Ending Page | 990 |
| File Size | 4027274 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424441358 |
| DOI | 10.1109/ICCIE.2009.5223688 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-06 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Supply chains Bills of materials K-opt Subcontracting Aerospace industry Engines Genetic algorithms Cost of quality Supply chain network design Simulated annealing Production Cost function Mathematical model Virtual manufacturing Mathematical programming |
| Content Type | Text |
| Resource Type | Article |
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