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Two-stage single period inventory management for a manufacturing vendor under green-supplier supply chain

机译:绿色供应商供应链下制造商的两阶段单期库存管理

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摘要

The newsboy problem (NP) has numerous applications for decision making in logistics and industrial systems. This paper presents a novel and practical two-stage NP in a green supply chain for a manufacturing vendor in case that in addition to the finished products, raw materials are provided at the start of the selling period. In this case, they may needed to be manufactured in order to produce the required finished products during the selling period. This paper tries to integrate the proposed two-stage NP and a supplier selection problem under a single-sourcing strategy. In the green supply chain, the vendor should select appropriate suppliers to purchase the raw materials and finished products. Moreover, it is assumed that the vendor has several vehicle types that can dispatch them to ship the purchased raw materials from the selected suppliers. However, to emphasize on the green approach as well as to create a green supply chain, a limitation on total greenhouse gas emissions of the selected vehicles is considered. The objective is to maximize the expected total vendor’s profit under three scenarios with respect to the total cost of supplier selection and the total transportation cost of vehicles subject to the budget and storage space constraints. Finally, by using GAMS software, some numerical experiments are presented to demonstrate the applicability of the proposed model. Sensitivity analyses on the impact of supplier and vehicle selection, and green transportation are conducted to provide more insights as well.
机译:报童问题(NP)在物流和工业系统的决策中具有许多应用。本文为制造商提供了绿色供应链中新颖且实用的两阶段NP,以防在销售期开始时除了提供成品外还提供原材料。在这种情况下,可能需要制造它们,以便在销售期间生产所需的成品。本文试图将建议的两阶段NP和单供应商策略下的供应商选择问题进行整合。在绿色供应链中,供应商应选择合适的供应商来购买原材料和成品。此外,假定供应商具有几种车辆类型,可以派遣它们以从选定的供应商处运送购买的原材料。但是,为了强调绿色方法并建立绿色供应链,考虑了对选定车辆的总温室气体排放量的限制。目的是在三种情况下,根据预算和存储空间的限制,在选择供应商的总成本和车辆的总运输成本的三种情况下,使预期的供应商总利润最大化。最后,通过GAMS软件,进行了一些数值实验,证明了该模型的适用性。对供应商和车辆选择以及绿色运输的影响进行敏感性分析,以提供更多见解。

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