Soft computing for softgoods supply chain analysis and decision support

Authors:
Shu-Cherng Fang;Henry L. W. Nuttle;Russell E. King;James R. Wilson
Affiliations:
Department of Industrial Engineering and Graduate Program in Operations Research North Carolina State University, Raleigh, NC;Department of Industrial Engineering and Graduate Program in Operations Research North Carolina State University, Raleigh, NC;Department of Industrial Engineering and Graduate Program in Operations Research North Carolina State University, Raleigh, NC;Department of Industrial Engineering and Graduate Program in Operations Research North Carolina State University, Raleigh, NC
Venue:
Soft computing in textile sciences
Year:
2003

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Abstract

Research on soft computing techniques for decision support for the design and management of the softgoods supply chain are presented. In particular, this work has been directed to creating and demonstrating a fuzzyneural soft computing framework for supply chain modeling and optimization and creating and demonstrating soft computing based approaches to capacity allocation and delivery date assignment. The former has required the development of fuzzy system identification procedures, a method for constructing membership functions for fuzzy sets, and a flexible supply chain simulation capability. The paper gives an overview of this work and the prototype tools we have developed.