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Journal Articles International Journal of Production Research Year : 2023

Evaluating the scalability of reconfigurable manufacturing systems at the design phase

Abstract

To face market volatility, reconfigurable manufacturing systems (RMS) aim to efficiently and cost-effectively react to changes. We focus on one characteristic of RMS: the scalability (ability to adapt the volume of throughput). In the literature, the only few indicators for scalability are not always formally defined and usually only consider a partial view of scalability. Moreover, most of them are actually more suited for the configuration planning rather than for the design. However, the design of the RMS has a high impact on its scalability. We propose the first combinatorial definition of this problem and a new measure to fully assess the scalability of a system at the design phase. This measure, based on a multi-objective approach, can assess the scalability of single-product manufacturing systems, analysing all configurations that it can implement. We present numerical experiments to compare this indicator with a state-of-the-art scalability indicator and with some classical production line design indicators, and we show that future research should focus on scalability as a specific criterion to optimise during the design of an RMS. In addition, the results obtained allow us to infer some managerial insights on the best levers to use when performing a reconfiguration for scalability purpose.
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Dates and versions

hal-03971200 , version 1 (15-01-2024)

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Attribution - NonCommercial - NoDerivatives

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Audrey Cerqueus, Xavier Delorme. Evaluating the scalability of reconfigurable manufacturing systems at the design phase. International Journal of Production Research, 2023, 61 (23), pp.8080-8093. ⟨10.1080/00207543.2022.2164374⟩. ⟨hal-03971200⟩
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