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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | da Cunha, C. Agard, B. Kusiak, A. |
| Copyright Year | 2004 |
| Abstract | The assemble-to-order (ATO) production strategy considers a tradeoff between the size of a product portfolio and the assembly lead time. The concept of modular design is often used in support of the ATO strategy. Modular design impacts the assembly of products and the supply chain, in particular, the storage, transport, and production are affected by the selected modular structure. The demand for products in a product family impacts the cost of the supply chain. Based on the demand patterns, a mix of modules and their stock are determined by solving an integer programming model. This model cannot be optimally solved due to its high computational complexity and, therefore, two heuristic algorithms are proposed. A simulated annealing algorithm improves on the previously generated solutions. The computational results reported in this paper show that significant savings could be realized by optimizing the composition of modules. The best performance is obtained by a simulated annealing combined with a heuristic approach. |
| Sponsorship | IEEE Robotics and Automation Society |
| Starting Page | 350 |
| Ending Page | 359 |
| Page Count | 10 |
| File Size | 1266880 |
| File Format | |
| ISSN | 15455955 |
| Volume Number | 4 |
| Issue Number | 3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-07-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Costs Mass customization Assembly Production Supply chains Computational modeling Simulated annealing Portfolios Linear programming Computational complexity time constraint Assemble to order (ATO) demand integration design for cost mass customization supply chain |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Electrical and Electronic Engineering |
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