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Assortment planning with inventory considerations in supply chains.

机译:供应链中具有库存考虑的分类计划。

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摘要

The dissertation addresses optimization problems related to the management of product variety with inventory considerations. The objective is to provide insights and tools to help companies determine the optimal level of product variety they should produce/stock and maximize revenues by strategically choosing assortments offered to customers. The dissertation comprises of three chapters. The first chapter explores the role of component commonality in product assortment decisions. We study how the use of component commonality in a production system affects the size of the optimal assortment and the resulting optimal component stocking decisions. In particular, we characterize the structure of the optimal assortment under various configurations of the bill of materials and provide conditions that establish when the optimal variety level increases or decreases relative to a system without common components. We find that the effect of commonality on profit and on the level of variety is stronger when demand exhibits negative correlation. The second chapter explores dynamic assortment customization strategies with limited inventories, in the contexts of a revenue management problem for a firm offering an assortment of products. The goal of the chapter is to determine a dynamic assortment policy in a setting with limited inventories and heterogeneous consumer preferences. The results indicate that limiting the choice set to some customers, in consideration of the prevailing inventory levels and the customers' preferences, leads to increased revenues. We find that, under the optimal dynamic assortment policy, each customer is always offered its most preferred product variant, while it is also offered other product variants provided that their inventory levels are large enough, i.e., above a certain threshold level. These thresholds are increasing with inventory levels and with time. The third chapter explores optimal assortment decisions with non-identical price and cost parameters. We extend our results in the first chapter to a setting where prices are weakly increasing in the net utility of the product. We also derive some novel results related to the structure of the optimal assortment in the dedicated system with general price and cost parameters. The goal of the project is to characterize the optimal assortment and explore the role of component commonality with different price and cost parameters.
机译:论文从库存的角度出发,解决了与产品品种管理有关的优化问题。目的是提供洞察力和工具,以帮助公司确定策略性地选择提供给客户的产品组合,以决定他们应该生产/库存的产品品种的最佳水平,并最大限度地提高收入。本文共分三章。第一章探讨了组件通用性在产品分类决策中的作用。我们研究了在生产系统中组件通用性的使用如何影响最佳分类的大小以及由此产生的最佳组件库存决策。特别是,我们表征了物料清单各种配置下的最佳分类结构,并提供了确定最佳品种级别相对于没有通用组件的系统何时增加或减少的条件。我们发现,当需求呈现负相关性时,共性对利润和品种水平的影响更强。第二章探讨了在库存有限的情况下,针对提供产品分类的公司的收入管理问题,动态分类定制策略。本章的目的是在库存有限且消费者偏好不同的环境中确定动态分类策略。结果表明,考虑到当前的库存水平和客户的偏好,将选择集限制在某些客户上会增加收入。我们发现,在最优动态分类策略下,总是向每个客户提供其最喜欢的产品变体,同时还向其他顾客提供其他产品变体,只要他们的库存水平足够大(即高于某个阈值水平)即可。这些阈值随着库存水平和时间而增加。第三章探讨了具有不同价格和成本参数的最优分类决策。在第一章中,我们将结果扩展到产品净效用价格微弱上涨的情况。我们还得出了一些具有通用价格和成本参数的,与专用系统中最佳分类结构有关的新颖结果。该项目的目标是表征最佳分类,并探讨具有不同价格和成本参数的组件通用性的作用。

著录项

  • 作者

    Xie, Lei.;

  • 作者单位

    Duke University.;

  • 授予单位 Duke University.;
  • 学科 Business Administration General.;Business Administration Management.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 126 p.
  • 总页数 126
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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