Kanban Controlled Pull Systems: An Analytic Approach

Jean-Luc Deleersnyder, Thom J. Hodgson, Henri Muller-Malek and Peter J. O'Grady
Additional contact information
Jean-Luc Deleersnyder: McKinsey and Company, Brussels, Belgium
Thom J. Hodgson: Department of Industrial Engineering, North Carolina State University, Raleigh, North Carolina 27695-7906
Henri Muller-Malek: Department of Industrial Management, Vlerick School of Management, Rijksuniversiteit B-9710 Gent, Belgium
Peter J. O'Grady: Department of Industrial Engineering, North Carolina State University, Raleigh, North Carolina 27695-7906

Management Science, 1989, vol. 35, issue 9, 1079-1091

Abstract: Three problem areas exist in designing and implementing a kanban controlled JIT system: the identification of flow lines problem, the flow line loading problem and the operational control problem. This paper addresses the operational control problem. A general N-stage serial production system is modeled as a discrete time Markov process. Capacity constraints, stochastic machine reliability and demand variability are included. The model is illustrated by a 3-stage system, describing the effects of the number of kanbans, the machine reliability, the demand variability and safety stock requirements on the performance of a kanban controlled pull system.

Keywords: kanban system; production/inventory; Markov process (search for similar items in EconPapers)
Date: 1989
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Citations: View citations in EconPapers (19)

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Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:35:y:1989:i:9:p:1079-1091

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