A simulation–optimization approach for a multi-period, multi-objective supply chain with demand uncertainty and an option contract

A simulation–optimization approach for a multi-period, multi-objective supply chain with demand uncertainty and an option contract
درجه علمی نشریه: 
دوره: 
۹۴
شماره: 
۷
شماره صفحه (از - تا): 
۶۴۹-۶۶۲
چکیده

One of the main challenges in global procurement problems is the uncertainty in the demand and supply sides of supply chains.‎ Besides, decision making in the stochastic supply chains is a complex problem.‎ A powerful technique for decision analysis in complex stochastic problems is simulation.‎ In this paper we propose a simulation-based optimization approach to solve a bi-objective (profit and service level) supply chain with uncertain customer demands and disruption events in the suppliers.‎ The basic assumptions used in this paper are adopted from the multi-period newsvendor problem.‎ In addition, based on the risk attitude of the buyers (retailers), to cope with the uncertainties, they can sign an option contract, reserving additional capacity in the secondary suppliers.‎ Hence, a simulation approach is used to model the behavior (risk attitude) of the buyers.‎ Indeed, because of the demand uncertainty, at the beginning of each contract period, buyers should decide on the amount of ordering from the primary suppliers.‎ The risk attitude of the retailer (as a spectrum) is defined based on the amount of ordering from the primary supplier.‎ Also, we use the Non-dominated Sorting Genetic Algorithm to optimize the bi-objective model.‎ Finally, a numerical example has been solved with the proposed algorithm and the results are reported.‎ The results showed that if the profit is more important than service level, the risk sensitive retailer prefers to show more risk averse behavior.‎

استناد: 

Hajian Heidary, Mostafa, Abdolah Aaghaie, and Ammar Jalalimanesh.‎ 2018.‎ A simulation–optimization approach for a multi-period, multi-objective supply chain with demand uncertainty and an option contract.‎ Simulation -Transactions of the Society for Modeling and Simulation International ۹۴ (۷): ۶۴۹-۶۶۲

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