 An approach to assess robustness of a reconfigurable manufacturing systemAteekh Ur Rehman International Journal of Industrial and Systems Engineering, 2019, vol. 33, issue 4, 542-557 Abstract: A manufacturing system is considered, which produces 30 products using 17 conventional machines and different process plans for each product. The system accepts customer orders for any combination of these products. These orders received from time to time may relate to different combinations of the products of varying quantities. The system is simulated using ProModel and the exercise helped in quantifying how the manufacturing system would perform under different scenarios characterised by the combinations of various operational features. The performance of the system is measured using performance measures such as machine utilisation, throughput time, product earliness, product lateness and product block time. Nine different alternative configurations were developed and simulated. Taguchi analysis led to some interesting inference, which appears to be extending good support to manufacturing system performance analysis. The details of the simulation model, analysis of the results and the inference drawn are presented in this paper. Keywords: performance evaluation; reconfiguration; simulation; ProModel; robustness; signal to noise. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:33:y:2019:i:4:p:542-557 Access Statistics for this article More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd |
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