After-Sales Services During an Asset’s Lifetime: Collaborative Planning of System Upgrades

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2022-02-24 DOI:10.1287/serv.2023.0318
F. Sloothaak, A. Akçay, G. van Houtum, M. van der Heijden
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Abstract

We consider a physical asset consisting of complex systems, where the systems may require upgrades during the lifetime of the asset. In practice, the asset owner and system supplier can make the upgrade decisions together, requiring a decision-support model that can be jointly used to optimize the total benefit for both parties. Motivated by a real-life use case including an asset owner and a system supplier, we build a continuous-time model to optimize the upgrade decisions of a system during the fixed lifetime of the asset. In our model, we capture the key critical factors that drive the upgrade decisions: increasing functionality requirements due to evolving technology, age-dependent maintenance costs, a predetermined overhaul plan of the asset, and the lifetime of the asset. A system upgrade is less costly if it is executed jointly with an asset overhaul. We first analyze the case with no additional cost of upgrading outside an overhaul. We analytically characterize the structure of the optimal upgrade policy under various realistic assumptions that lead to different types of cost functions. We then use these results as a building block to characterize the optimal policy for a generalized cost function. When there is a penalty for upgrading outside an overhaul moment, we propose a dynamic programming approach that efficiently determines the optimal upgrade policy by using our analytical results. We also prove that as this penalty increases, the optimal policy can only change to one where the number of upgrades not jointly executed with overhauls is reduced. However, the optimal number of upgrades is a nonincreasing function of this penalty. Also, surprisingly, more overhauls may lead to a smaller number of upgrades under the optimal policy. Funding: This publication is part of the project “Maritime Remote Control Tower for Service Logistics Innovation (MARCONI)” (project 439.18.309) of the research program “Integrator-Logistics as Enabler for Enhancing Society,” which is (partly) financed by the Dutch Research Council (NWO).
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资产生命周期内的售后服务:系统升级的协同规划
我们考虑由复杂系统组成的物理资产,其中系统可能需要在资产的生命周期内进行升级。在实践中,资产所有者和系统供应商可以共同进行升级决策,这就需要一个决策支持模型,该模型可以共同用于优化双方的总利益。在包括资产所有者和系统供应商在内的现实生活用例的激励下,我们构建了一个连续时间模型,以在资产的固定生命周期内优化系统的升级决策。在我们的模型中,我们捕获了驱动升级决策的关键因素:由于技术的发展而增加的功能需求,与年龄相关的维护成本,资产的预定大修计划,以及资产的生命周期。如果系统升级与资产检修联合执行,则成本更低。我们首先在没有大修之外的额外升级成本的情况下分析这个案例。我们分析了在各种现实假设下导致不同类型成本函数的最优升级策略的结构。然后,我们使用这些结果作为构建块来表征广义成本函数的最优策略。当在大修时刻之外存在升级惩罚时,我们提出了一种动态规划方法,该方法通过使用我们的分析结果有效地确定最优升级策略。我们还证明,随着这种惩罚的增加,最优策略只能改变为不与大修联合执行的升级数量减少的策略。然而,最优升级次数是这种惩罚的非递增函数。此外,令人惊讶的是,在最优策略下,更多的大修可能导致更少的升级次数。资助:本出版物是“集成商-物流作为促进社会的推动者”研究项目“服务物流创新海上远程控制塔(MARCONI)”(项目439.18.309)的一部分,该项目(部分)由荷兰研究理事会(NWO)资助。
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
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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