Retailers’ optimal ordering policies for a dual-sourcing procurement

Abstract

PurposeOptimal ordering decision for a retailer in a dual-sourcing procurement is an important research area. The main purpose of this paper is to explore a loss-averse retailer’s ordering decision in a dual-sourcing problem.Design/methodology/approachFor a loss-averse retailer, the study obtains the optimal ordering decision to maximize expected utility. Based on sensitivity analysis, the properties of the optimal ordering decision are well discussed.FindingsUnder the optimal ordering quantity that maximizes expected loss aversion utility, the relevant expected profit of a retailer turns to be smaller under a bigger loss aversion coefficient. For this point, a retailer needs to balance between expected loss aversion utility maximization and expected profit maximization in deciding the optimal ordering policy in a dual-sourcing problem.Originality/valueThis paper reveals the influence of loss aversion on a retailer’s ordering decision in a dual-sourcing problem. Managerial insights are suggested to devise the optimal ordering policy for retailers in practice.

Supply chain network optimization for EMU spare parts considering same-model inventory pooling

“…The first and second terms respectively represent ordering cost and inventory holding cost. Finally, expression (10) denotes the maximum target inventory level subject to demand fluctuations. Details of decision variables, sets and parameters are listed in Table 1 and Table 2…”

“…[9] Xu and Gao (2020) studied the optimal ordering and transshipment price decisions of two dual-channel retailers and used game theory to determine the optimal order quantity when pooling inventory. [10] Overall, in theory, remarkable results can be seen in SCN optimization research area, but some points are still worth improving. Firstly, only a few researches incorporate SP management, mainly focusing on manufacturing industry but rarely involving transportation industry.…”