A note on the demand distributions of spare parts

Syntetos, Aris A.; Lengu, David; Babaï, Mohamed Zied

doi:10.1080/00207543.2013.798050

Cited by 17 publications

(10 citation statements)

References 8 publications

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“…Following the approach of Syntetos et al (2012), we chose the Kolmogorov-Smirnov (K-S) test over the chi-square test to assess the statistical goodness-of-fit. In line with Syntetos, Lengu, and Babai (2013), we consider that we have a strong fit if the K-S test statistic is less than the critical value for 5% and a good fit if the K-S test statistic is less than a critical value of 1% but larger than a critical value of 5%. In the given example with a sample size of 108 months, the critical values are 0.131 (5%) and 0.157 (1%).…”

Section: Fit Of Poisson Distributionmentioning

confidence: 88%

Assessing the potential of additive manufacturing for the provision of spare parts

Heinen

Hoberg

2019

J of Ops Management

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Spare parts are a particularly interesting application for switching production from traditional manufacturing (TM) to additive manufacturing (AM). Research assessing AM has primarily addressed cost models centering on the production process or the operations management of separate spare parts. By combining case study, modeling, and design science elements, we adopt a holistic perspective and develop a design to examine the systematic leverage of AM in spare parts operations. Contextually grounded in problems faced by a leading material handling equipment manufacturer that is challenged by common characteristics of after‐sales operations, we engage with practice to propose a portfolio level analysis examining the switchover share from TM to AM. Using a data set of 53,457 spare parts over 9 years, we find that up to 8% of stock keeping units (SKUs) and 2% of total units supplied could be produced using AM, even if unit production costs are four times those of TM. This result is driven by low demand, high fixed costs, and minimum order quantities in TM. Finally, we present the evaluation by the case company's management and highlight five areas of opportunity and challenge.

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Section: Fit Of Poisson Distributionmentioning

confidence: 88%

Assessing the potential of additive manufacturing for the provision of spare parts

Heinen

Hoberg

2019

J of Ops Management

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“…In order to improve overall forecasting accuracy, Kostenko & Hyndman (2006) Table 6 of Heinecke et al, 2013); the effect on stock control performance was not assessed in the study. Syntetos et al (2012Syntetos et al ( , 2013 explored the potential linkages between the SBC scheme and demand distributional assumptions on a demand per period basis. They conducted a detailed empirical investigation for a specific company on the goodness-of-fit of various distributions and their stock control implications in terms of inventories held and service levels achieved.…”

Section: Classification For Forecastingmentioning

confidence: 99%

OR in spare parts management: A review

Boylan

Chen

et al. 2018

European Journal of Operational Research

131

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Spare parts are held to reduce the consequences of equipment downtime, playing an important role in achieving the desired equipment availability at a minimum economic cost. In this paper, a framework for OR in spare parts management is presented, based on the product lifecycle process and including the objectives, main tasks, and OR disciplines for supporting spare parts management. Based on the framework, a systematic literature review of OR in spare parts management is undertaken, and then a comprehensive investigation of each OR discipline's contribution is given. The gap between theory and practice of spare parts management is investigated from the perspective of software integration, maintenance management information systems and adoption of new OR methods in software. Finally, as the result of this review, an extended version of the framework is proposed and a set of future research directions is discussed.

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“…Further research efforts are expected to gauge the effectiveness of simulation techniques and compare them with the available analytical solutions. Alongside this research avenue, efforts will be directed towards the characterization of different compound Bernoulli distributions, with the aim of encompassing both integer and continuous positive demand sizes (Syntetos, Babai and Altay, 2012;Syntetos, Lengu and Babai, 2013). Other distributions such as Compound Poisson distributions (Babai, Jemai and Dallery, 2011 ;Lengu, Syntetos and Babai, 2014) or Compound Erlang distributions (Saidan et al, 2013) have also been used to model intermittent demand and can be considered in future research.…”

Section: Conclusion and Further Researchmentioning

confidence: 99%

A periodic inventory system of intermittent demand items with fixed lifetimes

Balugani

Lolli

Gamberini

et al. 2019

International Journal of Production Research

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Perishable items with a limited lifespan and intermittent/erratic consumption are found in a variety of industrial settings: dealing with such items is challenging for inventory managers. In this study, a periodic inventory control system is analysed, in which items are characterised by intermittent demand and known expiration dates. We propose a new inventory management method, considering both perishability and intermittency constraints. The new method is a modification of a method proposed in the literature, which uses a periodic order-up-to-level inventory policy and a compound Bernoulli demand. We derive the analytical expression of the fill rate and propose a computational procedure to calculate the optimal solution. A comparative numerical analysis is conducted to evaluate the performance of the proposed solution against the standard inventory control method, which does not take into account perishability. The proposed method leads to a bias that is only affected by demand size, in contrast to the standard method which is impacted by more severe biases driven by intermittence and periods before expiration.

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A note on the demand distributions of spare parts

Cited by 17 publications

References 8 publications

Assessing the potential of additive manufacturing for the provision of spare parts

Assessing the potential of additive manufacturing for the provision of spare parts

OR in spare parts management: A review

A periodic inventory system of intermittent demand items with fixed lifetimes

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