The impact of an emergency warehouse in a two-echelon spare parts network

Wingerden, E. van; Tan, Tarkan; Houtum, Geert‐Jan van

doi:10.1016/j.ejor.2019.01.068

Cited by 11 publications

(2 citation statements)

References 22 publications

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“…In addition, 18 studies focus on spare parts demand forecast, and many methods are proposed, including Croston's method, Syntetos-Boylan approximation, single exponential smoothing (SES), and bootstrapping methods. Importantly, to integrate spare parts demand forecasting and inventory management, forecasting methods should be evaluated through inventory management metrics instead of performance metrics, which are directly related to forecasting results (e.g., mean squared error) [41]. For instance, ref [42] used extreme value theory to forecast spare parts demand, and the method was evaluated by inventory performance.…”

Section: Spare Parts Classification and Demand Forecastmentioning

confidence: 99%

Spare Parts Inventory Management: A Literature Review

2021

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Spare parts are held as inventory to support product maintenance in order to reduce downtime and extend the lifetime of products. Recently, spare parts inventory management has been attracting more attention due to the “right-to-repair” movement which requires that manufacturers provide sufficient spare parts throughout the life-cyle of their products to reduce waste so as to achieve sustainability. In this review, 148 papers regarding spare parts inventory management published from 2010 to 2020 are examined. The studies are classified based on two groups of perspectives. The first group includes the characteristics of spare parts, products, inventory systems, and supply chains, while the second group focuses on the characteristics of research methodologies and topics in the reviewed studies. The novelty of this literature review is three-fold. Firstly, we focus on analyzing the supply chain structure of different inventory networks for managing spare parts. Secondly, we classify the current literature based on analytics techniques, i.e., descriptive analytics, predictive analytics, and prescriptive analytics. Finally, the research gaps in this field are discussed from the perspective of reverse logistics, consumer durable goods, inventory network structure and policy, spare parts demand pattern modeling, and big data analytics.

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Section: Spare Parts Classification and Demand Forecastmentioning

confidence: 99%

Spare Parts Inventory Management: A Literature Review

2021

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“…The effects of failure rate uncertainties have only recently started being investigated for CM parts. Specifically, van Wingerden et al evaluated their impact on the holding costs and on the number of backorders [14]. However, dealing with AM, despite failure rate uncertainties even higher than those of the CM parts (due to the limited knowledge of these techniques) and their assumed importance, no one has addressed this problem yet to the best of our knowledge.…”

Section: Introductionmentioning

confidence: 99%

Impact of Failure Rate Uncertainties on the Implementation of Additive Manufacturing in Spare Parts Supply Chains

Peron

Knofius²,

Basten

et al. 2021

IFIP Advances in Information and Communication Technology

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The world of spare parts may be revolutionized by the advent of additive manufacturing (AM). Thanks to the possibility to manufacture spare parts on-demand, AM has attracted great attention in the last years as a substitute of conventional manufacturing techniques (CM). However, both researchers and practitioners point out two main limitations that might hinder the transition from CM to AM for the manufacturing of spare parts: AM parts' high production costs and uncertain failure rate. While the former limitation will most likely be overcome in the near future, the latter remains an open issue, so far uninvestigated. We therefore aim to investigate the effect of uncertain failure rate estimates on the optimal inventory level and on the total costs of spare parts management. To do so, we adapt a periodic inventory management policy available in the literature to include failure rate uncertainties and perform a parametrical analysis to investigate their impact varying the mean values of the failure rate, the lead times, and the unitary backorder and production costs. From the results it emerged that the effects of the failure rate uncertainties on the optimal inventory level and on the total costs of spare parts management increases exponentially, leading to a divergence up to 250% for both.

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The Effect of Customer Patience on Multiple-Location Inventory Systems

Dreyfuss

Giat

2019

Springer Optimization and Its Applications

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The impact of an emergency warehouse in a two-echelon spare parts network

Cited by 11 publications

References 22 publications

Spare Parts Inventory Management: A Literature Review

Spare Parts Inventory Management: A Literature Review

Impact of Failure Rate Uncertainties on the Implementation of Additive Manufacturing in Spare Parts Supply Chains

The Effect of Customer Patience on Multiple-Location Inventory Systems

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