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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Qunxia Li Qun Zhang Haifeng Shen |
| Copyright Year | 2006 |
| Description | Author affiliation: Sch. of Manage., Univ. of Sci. & Technol. Beijing (Qunxia Li; Qun Zhang) |
| Abstract | Based on the generalized defuzzifying approach derived in this paper, we establish the fuzzy economic order quantity (EOQ) model with backorder. When the order quantity is a crisp number, we use the direct derivation method to obtain the optimal solution. When the order quantity is a fuzzy number, we use the extension of the Lagrangean method to solve the inequality constraints. The results indicate that the optimal decision-making is determinate. In addition, if all fuzzy parameters are crisp numbers or the backorder cost is extremely large, this model will degrade into the classical inventory model with backorder and the simple inventory model without backorder, respectively |
| Starting Page | 282 |
| Ending Page | 287 |
| File Size | 5313348 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424403170 |
| DOI | 10.1109/SOLI.2006.328932 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-06-21 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Backorder Function Principle Costs Uncertainty Shape Supply chains Decision making Probability Lagrangian functions Inventory Model Fuzzy Theory Technology management Inventory management Fuzzy set theory |
| Content Type | Text |
| Resource Type | Article |
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