Advances in Production Engineering & Management
Volume 12 | Number 3 | September 2017 | pp 213–220
https://doi.org/10.14743/apem2017.3.252
Production lot-sizing decision making considering bottle-neck drift in multi-stage manufacturing system
Zhou, F.L.; Wang, X.; He, Y.D.; Goh, M.
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A B S T R A C T
Under a capacity constrained multi-product manufacturing system, the products are usually prepared and produced in lots. As a lot-sizing strategy is critical for effective production and high productivity, this encourages practical and research interest in the strategic batch sizing decision for a minimum procedure time in an order-to-delivery (OTD) operating environment. While the lot-sizing plan can be formed by studying the manufacturing parameters of the established bottleneck procedure, for a multi-stage manufacturing system, the bottleneck is not fixed and fluctuates with the production rate or batch size. This paper proposes a lot-sizing strategy to determine the optimal lot-size for each class of products taking bottleneck drifting into consideration. A queuing network analyser (QNA) method is employed to deal with the non-linear mixed integer programming model targeting at the total flow time minimization of the system. A practical case is presented and solved using the proposed method, and the results are validated with Flexsim, a simulation model.
A R T I C L E I N F O
Keywords • Manufacturing system, Multistage manufacturing system, Lot-sizing decision making, Lead time, Queuing network analyser (QNA)
Corresponding author • Zhou, F.L.; Wang, X.
Article history • Received 18 January 2017, Revised 24 May 2017, Accepted 11 June 2017
Published on-line • 28 July 2017
E X P O R T C I T A T I O N
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