| dc.creator (作者) | 李易諭;Kramer B. A. | zh_TW |
| dc.creator (作者) | LEE, Y. Y. ; Kramer, B.A. ; Hwang, C.L. | - |
| dc.date (日期) | 1991 | en_US |
| dc.date.accessioned | 25-Nov-2008 10:41:46 (UTC+8) | - |
| dc.date.available | 25-Nov-2008 10:41:46 (UTC+8) | - |
| dc.date.issued (上傳時間) | 25-Nov-2008 10:41:46 (UTC+8) | - |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/10257 | - |
| dc.description.abstract (摘要) | Most of the literature published regarding the performance of lot-sizing algorithms has been in a deterministic environment. The first objective of this article is to propose a way to incorporate fuzzy sets theory into lotsizing algorithms for the case of uncertain demand in a fuzzy master production schedule. Triangular fuzzy numbers are used to represent uncertainty in the master production schedule. It is shown that the fuzzy sets theory approach provides a better representation of fuzzy demand and more information to aid the determination of lot size. The second objective is to evaluate three lot sizing methods: part-period balancing, Silver-Meal, and Wagner-Whitin. The performance of each lot-sizing algorithm was calculated over nine examples. The results indicate that the part-period balancing algorithm may be a better overall choice to determine lot sizes. | - |
| dc.format | application/ | en_US |
| dc.language | en | en_US |
| dc.language | en-US | en_US |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | International Journal of Operations & Production Management, 11(7), 72-80 | en_US |
| dc.subject (關鍵詞) | Algorithms; Lot size; Manufacturing; Quantitative techniques; Research | - |
| dc.title (題名) | A Comparative Study of Three Lot-Sizing Methods for the Case of Fuzzy Demand | en_US |
| dc.type (資料類型) | article | en |
| dc.identifier.doi (DOI) | 10.1108/EUM0000000001276 | en_US |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1108/EUM0000000001276 | en_US |
