Decision Sciences Journal
Volume 27, Number 4
Fall 1996
A Note on 'An Approximate Solution to Deterministic Kanban
Systems'
Gautham Vemuganti and Rajan Batta
Department of Industrial Engineering, State University of New York
at Buffalo, Buffalo, NY 14260
Yixin Zhu
BNR Inc., 2201 Lakeside Blvd., Richardson, TX 75083
ABSTRACT
In a recent paper, Moeeni and Chang (1990) presented an efficient
heuristic solution method to solve a specific case of a
deterministic kanban system. In this paper, we first provide a
simple numerical example to show that the kanban system formulation
proposed by Moeeni and Chang can result in infeasible solutions. We
then present a modified formulation and show its feasibility. We
discuss the implications of the corrected formulation and finally
present conclusions and future research directions.
Subject Areas: Heuristics, Plant Design, and Production
and Operations Management.
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