Coordinating product, process, and supply chain decisions: A constraint satisfaction approach |
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| Authors: | Jianxin Jiao Qianli Xu Zhang Wu Ngai-Kheong Ng |
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| Affiliation: | aThe George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, USA;bSchool of Mechanical & Aerospace Engineering, Nanyang Technological University, Singapore;cChevron Global Lubricants, Lubricants Logistics Asia Pacific, Singapore |
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| Abstract: | The importance of coordinating product, process, and supply chain (PPSC) decisions has received much attention and popularity in academia and industry alike. This paper formulates PPSC coordination as a factory loading allocation problem (FLAP) from a constraint satisfaction perspective. A domain-based FLAP reference model is proposed for the conceptualization of a multi-site manufacturing supply chain, considering multiple domains, network structures, product characteristics, decision variables, along with various constraints. A decision propagation structure (DPS) incorporating with a connectionist approach is developed based on the concept of constraint heuristic search to facilitate the exploration of solution spaces. A case study in a multi-national company is presented to illustrate the FLAP framework, which implies practical insights into PPSC coordination. |
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| Keywords: | Global manufacturing Multi-site manufacturing Supply chain Constraint satisfaction Coordination Product families |
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