Repair part service level differentiation based on holding other parts shortage costs

IF 1.8 Q3 ENGINEERING, INDUSTRIAL
John Maleyeff, Jingran Xu
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Abstract

PurposeThe article addresses the optimization of safety stock service levels for parts in a repair kit. The work was undertaken to assist a public transit entity that stores thousands of parts used to repair equipment acquired over many decades. Demand is intermittent, procurement lead times are long, and the total inventory investment is significant.Design/methodology/approachDemand exists for repair kits, and a repair cannot start until all required parts are available. The cost model includes holding cost to carry the part being modeled as well as shortage cost that consists of the holding cost to carry all other repair kit parts for the duration of the part’s lead time. The model combines deterministic and stochastic approaches by assuming a fixed ordering cycle with Poisson demand.FindingsThe results show that optimal service levels vary as a function of repair demand rate, part lead time, and cost of the part as a percentage of the total part cost for the repair kit. Optimal service levels are higher for inexpensive parts and lower for expensive parts, although the precise levels are impacted by repair demand and part lead time.Social implicationsThe proposed model can impact society by improving the operational performance and efficiency of public transit systems, by ensuring that home repair technicians will be prepared for repair tasks, and by reducing the environmental impact of electronic waste consistent with the right-to-repair movement.Originality/valueThe optimization model is unique because (1) it quantifies shortage cost as the cost of unnecessary holding other parts in the repair kit during the shortage time, and (2) it determines a unique service level for each part in a repair kit bases on its lead time, its unit cost, and the total cost of all parts in the repair kit. Results will be counter-intuitive for many inventory managers who would assume that more critical parts should have higher service levels.
基于其他部件短缺成本的维修部件服务水平差异化
本文探讨了如何优化维修包中零件的安全库存服务水平。这项工作是为了帮助一个公共交通实体,该实体储存了数以千计的零件,用于维修几十年来购置的设备。需求是间歇性的,采购周转时间长,总库存投资巨大。成本模型包括库存零件的持有成本和短缺成本,其中短缺成本包括在零件周转期内所有其他修理包零件的持有成本。结果表明,最佳服务水平随维修需求率、零件准备时间和零件成本占维修包零件总成本的百分比而变化。尽管精确的服务水平会受到维修需求和零件准备时间的影响,但廉价零件的最佳服务水平较高,而昂贵零件的最佳服务水平较低。社会影响所提出的模型可以改善公共交通系统的运行性能和效率,确保家庭维修技术人员为维修任务做好准备,并根据维修权运动减少电子废物对环境的影响,从而对社会产生影响。原创性/价值该优化模型的独特之处在于:(1)它将短缺成本量化为在短缺时间内不必要地保留维修包中其他部件的成本;(2)它根据维修包中每个部件的准备时间、单位成本和所有部件的总成本,为每个部件确定一个独特的服务水平。对于许多库存管理者来说,结果可能与直觉相反,因为他们会认为更重要的零件应该有更高的服务水平。
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
Journal of Quality in Maintenance Engineering
Journal of Quality in Maintenance Engineering Engineering-Safety, Risk, Reliability and Quality
CiteScore
4.00
自引率
13.30%
发文量
24
期刊介绍: This exciting journal looks at maintenance engineering from a positive standpoint, and clarifies its recently elevatedstatus as a highly technical, scientific, and complex field. Typical areas examined include: ■Budget and control ■Equipment management ■Maintenance information systems ■Process capability and maintenance ■Process monitoring techniques ■Reliability-based maintenance ■Replacement and life cycle costs ■TQM and maintenance
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