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An Algorithm for Joint Multi-item Replenishment Problem under Trade Credits

机译:交易信用下联合多项目补给问题的算法

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This study deals with the joint multi-item replenishment problem under trade credit. All existing studies about trade credit focused on single-item replenishment policy. However, joint multi-item replenishment has been widely applied in many industries to take advantage of transport economies of scale. In this paper we extend the traditional inventory model by considering trade credit and multi-item replenishment so as to better reflect the real-world business situation. The objective is to determine the optimal replenishment schedule for each item while minimizing the total cost. Two heuristics, Cost-balancing heuristic and Extreme-finding heuristic, are developed to solve the problem. From computational analysis, we illustrate and compare the two heuristics. Our performance study shows that Extreme-finding heuristic is better than Cost-balancing heuristic.
机译:本研究涉及贸易信贷的联合多项目补给问题。 所有关于贸易信贷的研究都专注于单项补充政策。 然而,联合多项目补充已广泛应用于许多行业,以利用运输经济体的规模。 在本文中,我们通过考虑贸易信贷和多项目补充来扩展传统库存模型,以便更好地反映现实世界的业务情况。 目标是确定每个项目的最佳补充时间表,同时最小化总成本。 建立了两个启发式,成本平衡的启发式和极端发现启发式,以解决问题。 从计算分析中,我们说明并比较了两个启发式方法。 我们的绩效研究表明,极端发现的启发式比成本平衡的启发式更好。

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