Determining the number of kanbans in multi-item just-in-time systems

Ronald Askin, George Mitwasi, Jeffrey B. Goldberg

Research output: Contribution to journalArticle

58 Citations (Scopus)

Abstract

Kanbans (cards) are one means of controlling Just-in-time production systems. The kanbans serve as production authorization orders and essentially become the information system. The presence of a production ordering kanban for a specific part type constitutes an instruction to the workcenter to produce a 'container' of that part. In this paper are assume workcenters produce multiple part types and address the issue o f the number of kanbans needed for each part type. Our objective is to minimize the sum of inventory holding and backorder cost. A stochastic model is formulated. Steady-state results are derived for the cases of a few and many part types. Modifications for the case of expediting of backorders are also provided. Simulation results demonstrate the accuracy of the model for a large number of kanbans, but an investigation of a finite population queueing model for small numbers of kanbans is suggested as a worthwhile extension.

Original languageEnglish (US)
Pages (from-to)89-98
Number of pages10
JournalIIE Transactions (Institute of Industrial Engineers)
Volume25
Issue number1
StatePublished - Jan 1993

Fingerprint

Just in time production
Stochastic models
Containers
Information systems
Costs
Just-in-time systems
Kanban
Backorder

ASJC Scopus subject areas

  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

Cite this

Determining the number of kanbans in multi-item just-in-time systems. / Askin, Ronald; Mitwasi, George; Goldberg, Jeffrey B.

In: IIE Transactions (Institute of Industrial Engineers), Vol. 25, No. 1, 01.1993, p. 89-98.

Research output: Contribution to journalArticle

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