制造成本和价格不确定条件下两级绿色供应链中易腐商品的销售水平优化

IF 4 Q2 ENGINEERING, INDUSTRIAL Journal of Industrial and Production Engineering Pub Date : 2022-08-15 DOI:10.1080/21681015.2022.2107097
Reza Ahmadi Malakot, R. Sahraeian, Seyed Mohammad Hassan Hosseini
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引用次数: 5

摘要

摘要本文研究了一个多周期两级供应链网络中易腐货物供应商管理库存政策的绿色模型。缺货是允许的,未满足的要求视为缺货。此外,价格和制造成本的不确定性被认为是本研究的主要贡献。考虑两个目标函数同时优化。(a)利润最大化和(b)碳排放量最小化。提出了该问题,并利用几种决策树研究了关键参数不确定性的影响。研究结果表明,该方法在处理不确定性问题时是有效的。因此,缺货成本的增加导致订单数量的减少,利润值的减少。然而,由于运输需求的减少,这一变化减少了污染物的排放。此外,随着产品寿命的延长,利润水平提高,碳排放减少。图形抽象
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Optimizing the sales level of perishable goods in a two-echelon green supply chain under uncertainty in manufacturing cost and price
ABSTRACT The present study addresses a green model of vendor managed inventory policy for perishable goods in a multi-period two-echelon supply chain network. Shortage is permissible and the unsatisfied demand is considered as back order. In addition, uncertainties in prices and manufacturing costs are considered as the main contribution of this study. Two objective functions are considered to optimize simultaneously. (a) Maximizing profits and (b) minimizing the amount of carbon emissions. This problem is formulated and the effects of uncertainty in key parameters are investigated using several decision trees. The result of the study shows the efficiency of the proposed procedure in dealing with uncertainties. Accordingly, increasing backorder costs lead to a decrease in order quantity and a decrease in profit value. However, this change reduces the emission of pollutants due to the reduced need for transport. In addition, profit levels increase and carbon emissions decrease as the product lifespan increases. Graphical abstract
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来源期刊
CiteScore
7.50
自引率
6.70%
发文量
21
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