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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Loo Hay Lee Suyan Teng Ek Peng Chew Kong Wei Lye Lendermann, P. Karimi, I.A. Yankai Chen Choon Hwee Koh |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Ind. & Syst. Eng., Singapore Nat. Univ. (Loo Hay Lee; Suyan Teng; Ek Peng Chew) |
| Abstract | In this paper, we present how a solution framework developed for (a special case of) the multi-objective simulation-optimization problems can be applied to evaluate and optimally select the non-dominated set of inventory policies for two case study problems. Based on the concept of Pareto optimality, the solution framework mainly includes how to evaluate the quality of the selected Pareto set by two types of errors, and how to allocate the simulation replications according to some asymptotic allocation rules. Given a fixed set of inventory policies for both case study problems, the proposed solution method is applied to allocate the simulation replications. Results show that the solution framework is efficient and robust in terms of the total number of simulation replications needed to find the non-dominated Pareto set of inventory policies |
| File Size | 353275 |
| File Format | |
| ISBN | 0780395190 |
| DOI | 10.1109/WSC.2005.1574439 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-12-04 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Inventory management Modeling Business Analytical models Companies Cost function Manufacturing processes Logistics Aircraft Pulp manufacturing |
| Content Type | Text |
| Resource Type | Article |
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