An Iterative Clustering Approach Based on Material Flow Requirements for Cellular Designs

Authors:
Nai-Chieh Wei;Olugbenga O. Mejabi;Hong Long Chen
Affiliations:
Department of Industrial Engineering and Management, I-Shou University, Kaohsiung, Republic of China 84001;Department of Industrial and Manufacturing Engineering, Wayne State University, Detroit, USA 48202;Department of Business and Management, National University of Tainan, Tainan, Republic of China 700
Venue:
Journal of Intelligent and Robotic Systems
Year:
2010

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Abstract

This paper presents an iterative clustering process involving the addition of cells to a proposed cellular design to determine the best assignment of machines to cells. The assignment of machines to each cell is based on material flow clustering techniques with the objective of minimizing inter-cell flows. To determine the performance of the proposed clustering approach, comparisons are made with an Exhaustive Search (ES) approach to show the relative optimality.