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Inventory management for one warehouse multi-retailer systems with carbon emission costs

机译:具有碳排放成本的一个仓库多零售商系统的库存管理

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In this paper, we study inventory management for the one warehouse multi-retailer (OWMR) system with considering carbon emissions, in which we determine the reorder intervals for the warehouse and the retailers while minimizing the inventory ordering and holding cost and the carbon emission cost. We consider the carbon emissions from the holding and replenishing inventory activities in the OWMR system, and calculate the carbon emissions based on the frequency of the inventory replenishment at the warehouse and the retailers. We focus on stationary and integer-ratio policies, and formulate the problem as an optimization model with a convex objective function and a set of integer-ratio constraints. We relax the integer-ratio constraints, and introduce an algorithm to solve the corresponding relaxed problem to optimality in O (nlogn) times, where n represents the number of retailers. Based on the optimal solution of the relaxed problem, we build an integer-ratio policy, i.e., power-of-two (POT) policy, with 94% optimality for the primal problem. The computational results show that with considering the carbon emission cost, the reorder intervals of the warehouse and the retailers both increase, and that the integrated model proposed in this paper has more superiorities in terms of reducing the system-wide cost and the carbon emissions.
机译:在本文中,我们考虑了碳排放量,研究了一个仓库多零售商(OWMR)系统的库存管理,在该系统中,我们确定了仓库和零售商的重新订购间隔,同时最大程度地减少了库存订购和保管成本以及碳排放成本。我们考虑OWMR系统中库存和补充库存活动产生的碳排放,并根据仓库和零售商的库存补充频率计算碳排放。我们关注平稳和整数比率策略,并将问题表达为具有凸目标函数和一组整数比率约束的优化模型。我们放宽了整数比例约束,并引入了一种算法来解决相应的放宽问题,使其在O(nlogn)次内达到最优,其中n代表零售商的数量。基于松弛问题的最优解,我们构建了一个整数比率策略,即二乘幂(POT)策略,对原始问题的最优性为94%。计算结果表明,考虑到碳排放成本,仓库和零售商的重新订购间隔都增加了,并且本文提出的集成模型在降低全系统成本和碳排放方面更具优势。

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