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題名 Determining Batch Sizes for Parts on Procurement and Remanufacturing Decisions - An Approach Based on Fuzzy Logic and Genetic Algorithm
作者 林我聰
Lin, Woo-Tsong; Wen, Shih-Cheng; 郭建良; Kuo, David Chien-liang
貢獻者 資管系
關鍵詞 Reverse Logistics; Remanufacturing; Batch Order Size; Fuzzy Logic; Genetic Algorithm (GA)
日期 2006-01
上傳時間 18-Feb-2014 15:19:50 (UTC+8)
摘要 Recently, growing interest has been dedicated to reverse logistics, including the remanufacturing issue. However, weaknesses of inventory management models make manufacturers challenging in the reverse logistics context. Most models either provide fewer alternatives based on batch approaches, or do not deal with supply and demand uncertainties. Consequently, this paper proposes a batch inventory management model called GAFC (Genetic Algorithm and Fuzzy Logic based approach) for resolving the challenge. GAFC determines the batch sizes for ordering and remanufacturing the part that is procurable and remanufacturable, with the principle of inventory management cost minimization for the part. Experiments are taken for validating the model feasibility. Results show that GAFC outperforms the benchmark model. Results also reveal that, manufacturers can hold batch inventory management approaches even when reverse logistics is regarded as additional sources for the manufacturing systems.
關聯 International Journal of Electronic Business Management, 4(4), 307-318
資料來源 http://www.journaldatabase.org/articles/determining_batch_sizes_for_parts_on.html
資料類型 article
dc.contributor 資管系en_US
dc.creator (作者) 林我聰zh_TW
dc.creator (作者) Lin, Woo-Tsong; Wen, Shih-Cheng; 郭建良; Kuo, David Chien-liangen_US
dc.date (日期) 2006-01en_US
dc.date.accessioned 18-Feb-2014 15:19:50 (UTC+8)-
dc.date.available 18-Feb-2014 15:19:50 (UTC+8)-
dc.date.issued (上傳時間) 18-Feb-2014 15:19:50 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/63956-
dc.description.abstract (摘要) Recently, growing interest has been dedicated to reverse logistics, including the remanufacturing issue. However, weaknesses of inventory management models make manufacturers challenging in the reverse logistics context. Most models either provide fewer alternatives based on batch approaches, or do not deal with supply and demand uncertainties. Consequently, this paper proposes a batch inventory management model called GAFC (Genetic Algorithm and Fuzzy Logic based approach) for resolving the challenge. GAFC determines the batch sizes for ordering and remanufacturing the part that is procurable and remanufacturable, with the principle of inventory management cost minimization for the part. Experiments are taken for validating the model feasibility. Results show that GAFC outperforms the benchmark model. Results also reveal that, manufacturers can hold batch inventory management approaches even when reverse logistics is regarded as additional sources for the manufacturing systems.en_US
dc.format.extent 145 bytes-
dc.format.mimetype text/html-
dc.language.iso en_US-
dc.relation (關聯) International Journal of Electronic Business Management, 4(4), 307-318en_US
dc.source.uri (資料來源) http://www.journaldatabase.org/articles/determining_batch_sizes_for_parts_on.htmlen_US
dc.subject (關鍵詞) Reverse Logistics; Remanufacturing; Batch Order Size; Fuzzy Logic; Genetic Algorithm (GA)en_US
dc.title (題名) Determining Batch Sizes for Parts on Procurement and Remanufacturing Decisions - An Approach Based on Fuzzy Logic and Genetic Algorithmen_US
dc.type (資料類型) articleen