开发绿色闭环供应链的多方法仿真模型,并确定针对竞争对手的定价和广告政策

S. Parsaiyan, M. Amiri, P. Azimi, Mohammad Taghi Taghavi Fard
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引用次数: 2

摘要

供应链对环境的影响激发了这一领域的许多研究。本研究提出了一种新颖的多方法仿真方法,该方法结合了基于智能体和离散事件建模方法来建模绿色闭环供应链,并通过仿真技术进行优化。在需求不确定性条件下,建立了一个闭环供应链,以最小化总成本和温室气体(GHG)排放总量,并最大化竞争对手存在时供应链的管理偏好。采用实验法田口设计生成情景,通过模拟情景记录总成本和温室气体排放总量。管理偏好是根据决策者的意见决定的。使用提出的面板-组TOPSIS方法,根据三个属性对场景进行排序。通过求解模型确定库存补充参数、定价和广告策略以及运输方式。提供了一个汽车行业案例来演示该模型的功能。
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Developing a multi-method simulation model of a green closed-loop supply chain and determining pricing and advertising policy against a competitor
The environmental impact of supply chains has motivated many studies in this area. This research proposes a novel multi-method simulation approach which combines agent-based and discrete event modelling approaches to model a green closed-loop supply chain and optimise it through an optimisation via simulation technique. A closed-loop supply chain is developed under the demand uncertainty to minimise total cost and total greenhouse gases (GHG) emissions and maximise management preference of the supply chain in the presence of a competitor. Taguchi design of experiments method is used to generate scenarios, then total cost and total GHG emissions are recorded through simulating the scenarios. Management preference is determined based on decision makers' opinion. Scenarios are ranked against three attributes with the proposed panel-group TOPSIS method. Inventory replenishment parameters, pricing and advertising policies, and transportation type are determined via solving the model. An automotive industry case is provided to demonstrate the model's capabilities.
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来源期刊
International Journal of Business Performance and Supply Chain Modelling
International Journal of Business Performance and Supply Chain Modelling Business, Management and Accounting-Business and International Management
CiteScore
2.00
自引率
0.00%
发文量
22
期刊介绍: IJBPSCM covers original, high-quality and cutting-edge research on all aspects of supply chain modelling, aiming at bridging the gap between theory and practice with applications analysing the real situation to improve business performance. Topics covered include Business performance modelling, strategy Vendor/supplier selection, supplier development, purchasing management Supply chain management (SCM), green supply chain modelling Reverse logistics, closed loop/knowledge-based supply chains, 3PL/4PL Sustainable/quality based/agile/leagile/intelligent SCM Supply chain performance/optimisation/risk/decision making/support systems AI, information sharing in SCM, systems approach to SCM Coordinated/global/flexible SCM, risk mitigation strategies Stochastic supply chain games IT-enabled SCM, fuzzy modelling, data mining Supply chain network management, modelling/simulation, implementation Training/education, information security, RFID Supply chain analysis, transportation decisions, vehicle routing, bullwhip effect Logistics in disaster management Cross-country comparison.
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