Scheduling optimisation for supply chain in networked manufacturing

Authors:
Chuan Li;Shi-Long Wang;Xian-Ming Zhang;Hong Gu;Ling Kang
Affiliations:
The State Key Lab of Mechanical Transmission, Chongqing University, Chongqing 400030, China.;The State Key Lab of Mechanical Transmission, Chongqing University, Chongqing 400030, China.;College of Mechanical and Packaging Engineering, Chongqing Technology and Business University, Chongqing 400067, China.;College of Mechanical and Packaging Engineering, Chongqing Technology and Business University, Chongqing 400067, China.;College of Mechanical Engineering, Chongqing University, Chongqing 400030, China
Venue:
International Journal of Computer Applications in Technology
Year:
2011

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Abstract

A good task allocation for the supply chain in networked manufacturing, with the characteristics of distributed structure, multi-plant and multi-stage, is able to improve the management efficiency, decrease the operation cost and enhance customer satisfaction. Through analysing issues on the decision-making of the scheduling optimisation for the supply chain, a mathematic model is presented. Based on the established model, an improved artificial fish-swarm algorithm is proposed to solve the scheduling optimisation problem. An example is then presented to demonstrate the whole scheduling optimisation process and the result shows the effectiveness of the proposed scheduling optimisation approach.