Prioritization of kanbans in the case of a single station serving multiple downstream stations

Prioritization of kanbans in the case of a single station serving multiple downstream stations

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Article ID: iaor19951291
Country: United Kingdom
Volume: 33
Issue: 2
Start Page Number: 377
End Page Number: 389
Publication Date: Feb 1995
Journal: International Journal of Production Research
Authors: , ,
Keywords: programming: dynamic, markov processes
Abstract:

When implementing the kanban method in non-serial production lines, an interesting prioritization problem arises. Often a single server station will be linked with M different downstream stations via M separate kanban loops. Then the K-priority problem may be described as determining which kanban card should be processed next, given that empty cards are waiting in more than one loop. The objective in prioritizing the kanbans is to reduce back order or shortage costs and inventory costs at the downstream stations. Utilizing the theory of Markovian decision process and dynamic programming concepts, a solution to the K-priority problem is developed. This solution is labelled the K-rule, and was found to outperform the first-come-first-served and longest queue rules, plus a cost inclusive heuristic rule, in experimental tests.

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