Optimization of supply chain finance based on Stackelberg model

IF 0.6 Q4 ENGINEERING, INDUSTRIAL Industrial Engineering and Management Systems Pub Date : 2021-07-01 DOI:10.22116/JIEMS.2020.215095.1329
A. Jafarnejad, G. Abdoli, H. A. Mahdiraji, Saber Khalili Esbouei
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Abstract

In recent years, the relationship between the concepts of operations management and finance management has been an attractive area of research among researchers. One of the emerging areas at the beginning of the 21st century in the literature of operations and supply chain management is the topic of supply chain finance (SCF). SCF is a new concept that provides efficient financing of the supply chain, where all parties can balance the working capital and improve cash flow at a reduced cost by utilizing the buyer's or other parties' credit rating. Hence, in this study, an approach to optimize financing based on the Stackelberg model in a three-level supply chain, considering the circumstances in which the supplier is financially constrained for fulfillment the buyer's order and funded by the bank as another member of the supply chain based on the purchase order financing (POF) is discussed. For this purpose, a nonlinear mathematical programming model has been developed to maximize the payoff function of the partners.
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基于Stackelberg模型的供应链金融优化
近年来,运营管理与财务管理概念之间的关系一直是研究人员关注的热点。供应链金融(supply chain finance, SCF)是21世纪初运营与供应链管理文献研究的新兴领域之一。供应链融资是一个新概念,它为供应链提供了有效的融资,各方可以利用买方或其他各方的信用评级,以较低的成本平衡营运资金,改善现金流。因此,本研究考虑了供应商在履行买方订单方面受到财务约束,而银行作为供应链的另一成员,在采购订单融资(POF)的基础上提供资金的情况下,探讨了基于Stackelberg模型的三层供应链融资优化方法。为此,建立了一个非线性数学规划模型,使合作伙伴的收益函数最大化。
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来源期刊
CiteScore
2.20
自引率
28.60%
发文量
45
期刊介绍: Industrial Engineering and Management Systems (IEMS) covers all areas of industrial engineering and management sciences including but not limited to, applied statistics & data mining, business & information systems, computational intelligence & optimization, environment & energy, ergonomics & human factors, logistics & transportation, manufacturing systems, planning & scheduling, quality & reliability, supply chain management & inventory systems.
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