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Dynamic Capacity Investment with Two Competing Technologies

机译:两种竞争技术的动态产能投资

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摘要

With the recent focus on sustainability, firms making adjustments to their production or distribution capacity levels often have the option of investing in newer technologies with lower carbon footprints and/or energy consumption. These more sustainable technologies typically require a higher up-front investment but have lower operating (fuel or energy) costs. What complicates this decision is the fact that the projected dollar savings from the more sustainable technologies fluctuate considerably due to uncertainty in fuel prices, and the total capacity may not be utilized at 100% because of fluctuations in the demand for the product. We consider the firm's capacity adjustments over time given a portfolio of technology options when the demand and the fuel costs are stochastic and possibly dependent. Our model also allows for usage-based capacity deterioration. We provide the analytical structure of the optimal policy, which assigns different control limits for investing, staying put, and disinvesting in the capacities of the competing technology choices for each realization of demand and fuel costs at each period. We also present an application of our model to the problem of designing a delivery truck fleet for a beverage distributor.
机译:随着近来对可持续性的关注,对生产或分销能力水平进行调整的公司通常可以选择投资具有更低碳足迹和/或能源消耗的更新技术。这些更具可持续性的技术通常需要较高的前期投资,但具有较低的运营(燃料或能源)成本。使得该决定复杂化的事实是,由于燃料价格的不确定性,来自更可持续技术的预计节省的美元会大幅波动,并且由于产品需求的波动,总产能可能无法以100%的利用率使用。当需求和燃料成本是随机的并且可能是依赖的时,我们考虑给定的技术选择组合,随着时间的推移公司的产能调整。我们的模型还允许基于使用量的容量下降。我们提供了最优政策的分析结构,为每个阶段的需求和燃料成本的每次实现分配了竞争,技术选择能力的不同控制限制,以进行投资,保留和取消投资。我们还介绍了模型的应用,以解决为饮料分销商设计送货卡车车队的问题。

著录项

  • 来源
  • 作者单位

    Department of Operations Management, School of International Business Administration, Shanghai University of Finance and Economics, 200433 Shanghai, China;

    Management Science Department, Moore School of Business, University of South Carolina, Columbia, South Carolina 29208;

    Department of Operations and Decision Technologies, Kelley School of Business, Indiana University, Bloomington, Indiana 47405;

    Department of Operations and Decision Technologies, Kelley School of Business, Indiana University, Bloomington, Indiana 47405;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    sustainable operations; dynamic capacity investment; technology choice;

    机译:可持续经营;动态能力投资;技术选择;

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