NDLI: An extended state task network formulation for integrated production-distribution planning in supply chain

Content Provider	Springer Nature Link
Author	Su, Sheng Zhan, Dechen Xu, Xiaofei
Copyright Year	2007
Abstract	In this paper we consider a complex supply chain system where facilities produce intermediate-items or end-items that are shipped to other facilities or customers. We consider a complicated production process that can be convergent, divergent and circulatory. In order to facilitate modeling and solving the integrated production-distribution planning problem in the supply chain, extended state task network (ESTN) was proposed. ESTN adds the virtual proportion transformation task and combination transfer task into a state task network to describe the transportation process in the combination material transportation pattern. An improved path relinking algorithm was developed to solve the problem. Two strategies are proposed in the improved path relinking algorithm. The first strategy is the solution update method of the reference set based on solution quality and diversity. The second is the decentralization mutation strategy of the reference set. The experimental results demonstrate that the improved path relinking algorithm can obtain better solutions than the genetic algorithm, the tabu search procedure and the original path relinking algorithm. In the experiment we also observed that the diversity of the reference set has great impact on solution quality.
Starting Page	1232
Ending Page	1249
Page Count	18
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	37
Issue Number	11-12
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2007-06-14
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Extended state task network Production-distribution planning Supply chain Path relinking Computer-Aided Engineering (CAD, CAE) and Design Mechanical Engineering Production/Logistics Industrial and Production Engineering
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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