贸易信用下的多项目联合补货算法

Yu-Chung Tsao, Lu-Wen Liao
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引用次数: 3

摘要

本文研究了贸易信贷下的联合多项目补货问题。现有关于贸易信贷的研究都集中在单项补充政策上。然而,为了利用运输规模经济效益,联合多项目补货已被广泛应用于许多行业。本文对传统的库存模型进行了扩展,考虑了贸易信用和多项目补货,从而更好地反映了实际的商业情况。目标是确定每个项目的最佳补货计划,同时使总成本最小化。为了解决这一问题,提出了成本平衡法和极值查找法两种启发式方法。从计算分析的角度对这两种启发式方法进行了说明和比较。我们的性能研究表明,极值查找启发式优于成本平衡启发式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Algorithm for Joint Multi-item Replenishment Problem under Trade Credits
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 trans port economies of scale. In this paper we extend the traditional inventory model by considering trade credit t 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.
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