標題: Applied column generation-based approach to solve supply chain scheduling problems
作者: Chang, Yung-Chia
Chang, Kuei-Hu
Chang, Teng-Kai
工業工程與管理學系
Department of Industrial Engineering and Management
關鍵字: dynamic programming;column generation approach;identical parallel machine;supply chain scheduling
公開日期: 1-七月-2013
摘要: More and more enterprises have chosen to adopt a made-to-order business model in order to satisfy diverse and rapidly changing customer demand. In such a business model, enterprises are devoted to reducing inventory levels in order to upgrade the competitiveness of the products. However, reductions in inventory levels and short lead times force the operation between production and distribution to cooperate closely, thus increasing the practicability of integrating the production and distribution stages. The complexity of supply chain scheduling problems (integrated production and distribution scheduling) is known to be NP-hard. To address the issues above, an efficient algorithm to solve the supply chain scheduling problem is needed. This paper studies a supply chain scheduling problem in which the production stage is modelled by an identical parallel machine scheduling problem and the distribution stage is modelled by a capacitated vehicle routing problem. Given a set of customer orders (jobs), the problem is to find a supply chain schedule such that the weighted summation of total job weighted completion time and total job delivering cost are minimised. The studied problem was first formulated as an integer programme and then solved by using column generation techniques in conjunction with a branch-and-bound approach to optimality. The results of the computational experiments indicate that the proposed approach can solve the test problems to optimality. Moreover, the average gap between the optimal solutions and the lower bounds is no more than 1.32% for these test problems.
URI: http://dx.doi.org/10.1080/00207543.2013.774476
http://hdl.handle.net/11536/22224
ISSN: 0020-7543
DOI: 10.1080/00207543.2013.774476
期刊: INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume: 51
Issue: 13
起始頁: 4070
結束頁: 4086
顯示於類別:期刊論文


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  1. 000321900200016.pdf