期刊
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
卷 120, 期 2, 页码 437-451出版社
ELSEVIER
DOI: 10.1016/j.ijpe.2008.08.059
关键词
Supply chain scheduling; Production-inventory planning; Mixed integer programming
资金
- MNiSzW [519 03432/4143]
- AGH [11. 11.200.189]
A mixed integer programming approach is proposed for a long-term, integrated scheduling of material manufacturing, material supply and product assembly in a customer driven supply chain. The supply chain consists of three distinct stages: manufacturer/supplier of product-specific materials (parts), producer where finished products are assembled according to customer orders and a set of customers who generate final demand for the products. The manufacturing stage consists of identical production lines in parallel and the producer stage is a flexible assembly line. The overall problem is how to coordinate manufacturing and supply of parts and assembly of products such that the total supply chain inventory holding cost and the production line start-up and parts shipping costs are minimized. A monolithic approach, where the manufacturing, supply and assembly schedules are determined simultaneously, is compared with a hierarchical approach. Numerical examples modeled after a real-world integrated scheduling in a customer driven supply chain in the electronics industry are presented and some computational results are reported. (C) 2009 Elsevier B.V. All rights reserved.
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