Robust design of critical factors of multi-stage supply chain operations management

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Abstract

Today, supply chains have been widely welcomed by industry researchers and the results of applying it may increase throughput, reduce cost, increase speed to meet customers’ needs and create competitive opportunities. This paper identifies a scientific method, which operates efficiently and effectively manages supply chain operations. In this paper, a computer simulation model is analyzed for analyzing the supply chain and the results are examined, accordingly. Using Taguchi design of experiment and running the proposed model under L27 scenarios, a two-objective optimization was performed on the estimated response surfaces, leading to a 60% increase in productivity and 40% reduction in waiting time.

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Erfani, S., Keshavarzfard, R., & Raissi, S. (2015). Robust design of critical factors of multi-stage supply chain operations management. Uncertain Supply Chain Management, 3(2), 159–164. https://doi.org/10.5267/j.uscm.2014.12.005

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