Coordinating product, process, and supply chain decisions: A constraint satisfaction approach

Authors:
Jianxin (Roger) Jiao;Qianli Xu;Zhang Wu;Ngai-Kheong Ng
Affiliations:
The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, USA;School of Mechanical & Aerospace Engineering, Nanyang Technological University, Singapore;School of Mechanical & Aerospace Engineering, Nanyang Technological University, Singapore;Chevron Global Lubricants, Lubricants Logistics Asia Pacific, Singapore
Venue:
Engineering Applications of Artificial Intelligence
Year:
2009

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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.