Predicting bottlenecks in manufacturing shops through capacity and demand observations from multiple perspectives

Juan Tang, Bang-yi Li and Zhi Liu

International Journal of Manufacturing Technology and Management, 2018, vol. 32, issue 4/5, 358-380

Abstract: Uncertain factors in modern multi-variety and small-lot manufacturing make it extremely challenging to optimise and control the production process. Researchers propose a bottleneck-based optimisation method to reduce perplexity and enhance optimisation. Detecting bottlenecks is a crucial first step in this method and its accuracy has great impacts on production optimisation. This study proposes an independent bottleneck degree to describe the probability of a manufacturing cell becoming a system bottleneck, and model it using capacity and demand observations from the perspectives of capability, quality, and cost. Based on the independent bottleneck degree, we design a closed-loop multi-bottleneck prediction method, which can solve the responsibility cognisance problem resulting from correlation among manufacturing cells. Therefore, it can predict bottlenecks, especially multiple bottlenecks, accurately compared to existing methods.

Keywords: bottleneck; independent bottleneck degree; bottleneck responsibility; closed-loop prediction. (search for similar items in EconPapers)
Date: 2018
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