A single manufacturer multiple buyers integrated production-inventory model with third-party logistics

Q3 Business, Management and Accounting
Susheel Yadav, A. Agrawal, M. Vora
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引用次数: 5

Abstract

This paper analyses a single manufacturer and multiple buyers supply chain where each buyer faces a price-sensitive demand. The manufacturer produces the item at a finite rate and ships to the buyers in multiple shipments of equal sized sub-batches. These shipments are made using third-party logistics support. The transportation cost is assumed to depend upon vehicle type and on the buyer to which shipment is made. The problem of determining right inventory policies to maximise the overall supply chain profit is formulated as a mixed-integer nonlinear programming (MINLP) model and a meta-heuristic based on particle swarm optimisation (PSO) is also proposed. The sensitivity analyses carried out shows the impact of the change in vehicle capacities, setup cost, unit cost, production rate and holding rate of the manufacturer on inventory policy and its related costs. The sensitivity analysis will provide a practical guide to the managers in reacting to a certain change in some parameter values, such as in the eventuality of increase in the setup cost for taking production of a larger lot size in one setup and supply the same to the buyers in more number of sub-batches without changing the sub-batch size.
单一制造商多买家集成生产-库存模式与第三方物流
本文分析了单个制造商和多个买家的供应链,其中每个买家都面临价格敏感需求。制造商以有限的速度生产产品,并以等量子批的多批运输方式运送给买家。这些货物是由第三方物流支持的。假定运输费用取决于车辆类型和向其装运的买方。提出了一种混合整数非线性规划(MINLP)模型和一种基于粒子群优化(PSO)的元启发式方法来确定正确的库存策略以实现供应链整体利润最大化。进行的敏感性分析显示了制造商的车辆容量、设置成本、单位成本、生产率和持有率的变化对库存政策及其相关成本的影响。敏感性分析将为管理人员对某些参数值的特定变化作出反应提供实用指导,例如,在一个装置中生产较大批量的产品,并在不改变子批量大小的情况下以更多的子批次向买方供应相同产品,从而增加装置成本的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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