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Integrated inventory and transport optimisation in multi-retailer supply chains

机译:多零售商供应链中的集成库存和运输优化

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摘要

This thesis studies the Inventory Routing Problem (IRP) consisting of one supplier and multiple retailers who face a stochastic demand that is assumed to be independently and identically distributed over an infinite planning horizon. The aim of the study is to examine the impact of flexibility that is generated from the opportunity of the supplier to make an early replenishment in order to consolidate the replenishment between retailers and the integration of efficient routing strategies that optimise the cost and vehicle energy consumption besides generating high vehicle effectiveness. The study also aims to evaluate the potential of the IRP model as a business process reengineering strategy in the context of private healthcare industry in Malaysia. One of the leading private healthcare organizations that owns a chain of clinics in Malaysia is used to examine to explore typical supply chain process leading to practical contextualization of an IRP model. The new IRP model is proposed based on (s,c,S) policy to evaluate the trade-off between inventory cost and transportation cost. The analysis, based on a spreadsheet simulation model, numerically evaluates the performance of the proposed IRP model using different vehicle effectiveness strategies including the Travelling Salesman Problem (TSP) approach, the Overall Vehicle Effectiveness (OVE) and Modified Overall Vehicle Effectiveness (MOVE) metrics. Results showed the proposed periodic can-deliver model provides a significant cost saving compared to the common inventory control policy, (s,S) and a slight additional marginal benefit compared to the (s,S-1,S) policy. The findings also indicate that the MOVE metric consistently outperformed the OVE metric and TSP approach which determines the delivery sequence that generates high vehicle effectiveness which in return minimises the cost, vehicle distance travelled, and vehicle energy consumed. An appropriate inventory policy together with an appropriate routing policy is crucial in the IRP approach. Integration of flexible inventory control policies with the MOVE metrics leads to minimised operating costs and low vehicle energy consumption as well as improving total vehicle effectiveness.
机译:本文研究由一个供应商和多个零售商组成的库存路由问题(IRP),这些供应商面临着随机需求,这些需求被假定为在无限计划范围内独立且相同地分布。该研究的目的是检验供应商进行早期补货的机会所产生的灵活性的影响,以便巩固零售商之间的补货以及整合优化成本和车辆能耗的有效路线策略。产生高的车辆效率。这项研究还旨在评估IRP模型作为马来西亚私营医疗行业背景下业务流程再造战略的潜力。一家领先的私人医疗保健组织之一,该组织在马来西亚拥有多家诊所,用于研究探索典型的供应链流程,从而实现IRP模型的实际环境化。基于(s,c,S)策略提出了新的IRP模型,以评估库存成本与运输成本之间的权衡。该分析基于电子表格仿真模型,使用不同的车辆有效性策略(包括旅行商问题(TSP)方法,总体车辆有效性(OVE)和修正的总体车辆有效性(MOVE)指标)以数字方式评估了建议的IRP模型的性能。结果表明,与常规库存控制策略(s,S)相比,建议的定期交付模式可以节省大量成本,与(s,S-1,S)策略相比,可以提供少量的边际收益。研究结果还表明,MOVE指标始终优于OVE指标和TSP方法,后者确定了产生高车辆效率的交付顺序,从而将成本,行驶的距离和车辆的能耗降至最低。在IRP方法中,适当的库存策略以及适当的路由策略至关重要。灵活的库存控制策略与MOVE指标的集成可将运营成本降至最低,并降低车辆能耗,并提高总体车辆效率。

著录项

  • 作者

    Mustaffa Noorfa Haszlina;

  • 作者单位
  • 年度 2009
  • 总页数
  • 原文格式 PDF
  • 正文语种 English
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