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Decision support tools for supply chain optimization in the supermarket industry.

机译:超级市场行业中用于供应链优化的决策支持工具。

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摘要

Retailers compete on many dimensions, however the pricing and promotional strategy is the most important, hence the praxis starts with providing a pricing strategy. A decision- support model is developed that allows for conducting what-if analyses on pricing against competition (positioning), for the different classes (tiers) of items. The model determines the impact of the given positioning on the sales values and gross profits. A promotional pricing model is then developed that utilizes multiple-regression analysis on pricing and promotional variables, including competition pricing and promotional activities, to develop forecasting formulas for demand levels. The model is utilized to maximize the resulting promotional margins while optimizing the sales values, as well as improving demand forecasting. The model resulted in significant improvement in promotional margin and better forecasting than the intuitive methods used by category managers. A detailed demand-planning and inventory-management system is proposed that takes the transfer pack size into thorough consideration. Forecasting is conducted and ordering cycles are determined to ensure superior availability at the lowest possible stock levels. This would lead to maximizing stock turns, thereby increasing the positive cash flow and enabling the retailer to expand and leverage economies of scale to compensate for the low margins in the supermarket industry. The praxis also touches upon the automation of ordering goods from suppliers into a Distribution Center (DC), and directly into stores, as well as the ordering from a DC to stores. Key Performance Indicators (KPI's) and reporting measures are recommended to ensure control of availability of the promotional as well as the normal items for customers. The above work provides a framework for optimizing the supply chain effectiveness through providing the right prices to generate optimal demand levels, maximizing the promotional effectiveness to generate the maximum profit margins, providing the proper forecasting to ensure availability of promotional and normal non-promotional items, and enabling an inventory management system to maximize cash flow through maximizing the stock turns.
机译:零售商在许多方面竞争,但是定价和促销策略是最重要的,因此,实践始于提供定价策略。开发了决策支持模型,该模型允许针对不同类别(项目)的项目对竞争定价(定位)进行假设分析。该模型确定给定位置对销售价值和毛利的影响。然后,开发促销定价模型,该模型利用对定价和促销变量(包括竞争性定价和促销活动)的多元回归分析来开发需求水平的预测公式。该模型用于最大化销售利润,同时优化销售价值,并改善需求预测。与类别经理使用的直观方法相比,该模型显着提高了促销利润,并改善了预测。提出了详细的需求计划和库存管理系统,该系统充分考虑了转移包装的尺寸。进行预测并确定订购周期,以确保以最低的库存水平提供出众的可用性。这将导致最大化库存周转率,从而增加正现金流量,并使零售商能够扩展并利用规模经济来弥补超市行业的低利润。实践还涉及从供应商向配送中心(DC)以及直接向商店订购商品以及从DC到商店进行订购的自动化。建议使用关键绩效指标(KPI)和报告措施,以确保控制促销活动以及客户的正常商品的可用性。上述工作提供了一个框架,可通过提供合适的价格以产生最佳需求水平,最大化促销有效性以产生最大利润率,提供适当的预测以确保促销和正常非促销物品的可用性来优化供应链有效性,使库存管理系统能够通过最大化库存周转率来最大化现金流量。

著录项

  • 作者

    Abuhilal, Laith.;

  • 作者单位

    Southern Methodist University.;

  • 授予单位 Southern Methodist University.;
  • 学科 Systems science.;Industrial engineering.;Management.
  • 学位 D.E.
  • 年度 2014
  • 页码 121 p.
  • 总页数 121
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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