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A Comparison of Different Solution Approaches to Simultaneous Manufacturing Kanban Design and Scheduling

A Comparison of Different Solution Approaches to Simultaneous Manufacturing Kanban Design and Scheduling
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Author(s): In Lee (Western Illinois University, USA)
Copyright: 2003
Pages: 3
Source title: Information Technology & Organizations: Trends, Issues, Challenges & Solutions
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59140-066-0.ch199
ISBN13: 9781616921248
EISBN13: 9781466665330

Abstract

This paper evaluates several artificial intelligence heuristics for the simultaneous Kanban system design and scheduling on flexible manufacturing systems. The objective of the problem is to minimize the total production cost that includes due date penalty, inventory, and machining costs. We show that the simultaneous Kanban design and scheduling decisions are critical in minimizing the total production cost (approximately 40% cost reduction over scheduling without Kanban design decision). To identify the most effective search method for the simultaneous Kanban design and scheduling, we evaluated widely known artificial intelligence heuristics: genetic algorithm, simulated annealing, tabu search, and neighborhood search. Computational results show that the tabu search performs best in terms of solution quality. The tabu search also requires much less computational time than the genetic algorithm and simulated annealing.

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