Spare parts management: Linking distributional assumptions to demand classification

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

doi:10.1016/j.ejor.2013.12.043

Cited by 57 publications

(30 citation statements)

References 52 publications

(42 reference statements)

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“…Intermittent demand patterns are known to be very common in military settings, but also in other industries, such as oil, telecom, and electronics. Intermittent demand SKUs also monopolize the stock bases in any environment where demand is generated because of failures, such as the after sales industry; spare parts have been repeatedly shown in empirical studies to be (almost invariably) intermittent in nature (Lengu, Syntetos, & Babai, ).…”

Section: Case Organization and Descriptive Empirical Analysismentioning

confidence: 99%

Forecasting for remanufacturing: The effects of serialization

Goltsos

Syntetos

Laan

2019

J of Ops Management

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Remanufacturing operations rely upon accurate forecasts of demand and returned items. Return timing and quantity forecasts help estimate net demand (demand minus returns) requirements. Based on a unique data set of serialized transactional issues and returns from the Excelitas Group and one of their defense contractors, Qioptiq, we assess the empirical performance of some key methods in the area of returns forecasting. We extend their application (for net demand forecasting), by considering that demand is also subject to uncertainty and thus needs to be forecast. Information on remanufacturing costs allows for an evaluation of the inventory implications of such forecasts under various settings. A foray into the literature on information technologies enables a discussion on the interface between information availability and forecast accuracy and utility. We find that serialization accounts for considerable forecast accuracy benefits, and that the accuracy of demand forecasts is as important as that of returns. Further, we show how the combined returns and demand forecast uncertainty affects the inventory performance. Finally, we identify opportunities for further improvements for the operations of Qioptiq, and for remanufacturing operations in general.

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Section: Case Organization and Descriptive Empirical Analysismentioning

confidence: 99%

Forecasting for remanufacturing: The effects of serialization

Goltsos

Syntetos

Laan

2019

J of Ops Management

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“…MRO materials can be classified on various criteria as described by Bacchetti and Saccani (2012). Lengu, Syntetos, and Babai (2014) conducted an empirical investigation on goodness of fit for different kinds of compound Poisson distributions for spare parts and proposed a demand classification scheme which categorizes SKUs based on order size distribution properties. Their classification scheme helps the selection of distributions in real spare parts inventory applications.…”

Section: Literature Surveymentioning

confidence: 99%

A demand–supply interference technique for modeling Spare parts inventory policy

Naikan

Datar

Sarmah

2014

International Journal of Management Science and Engineering Man

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This paper proposes a methodology for the evaluation of probability of in-stock of a spare parts procurement policy in a manufacturing industry. The methodology is based on the demand -supply interference, similar to the stress -strength interference principle generally used in reliability engineering literature. The paper also proposes a methodology to develop a spare parts procurement policy in order to satisfy the specified target probability of in-stock. Numerical examples are also presented to illustrate the proposed methods.

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“…Diversos autores se concentram em desenvolver modelos que possam prever a demanda de peças no futuro (DOLGUI;PASHKEVICH, 2008;LENGU et al, 2014;ARMENZONI et al, 2015), mas estes não investigam a relação entre o nível de estoque e indicadores de desempenho operacional do sistema.…”

Section: Revisão De Literaturaunclassified

Modelo para determinar as quantidades em estoque de peças sobressalentes em uma planta de geração de energia

Filho

Schroeder

Ignácio

et al. 2017

Revista PO: R. Eletr. de Eng. de Produção e Correlatas

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Resumo: Neste artigo apresenta-se um modelo para avaliar o tempo total indisponível de uma planta de geração de energia elétrica devido à falta de peças de reposição em função dos níveis de estoque de cada uma destas peças. O modelo considera itens que apareçam uma ou duas vezes no sistema com configuração de confiabilidade do tipo série ou paralelo, com ou sem política de substituição preventiva. Otimização estocástica baseada na metaheurística Scatter Search foi utilizada para definir os níveis de estoque com objetivo de minimizar a média do tempo total indisponível devido à falta de peças e respeitando a restrição estatística sobre o valor total gasto para o horizonte de planejamento. Os resultados indicaram que, por exemplo, se a restrição de custo de R$ 550.000 para 10 anos for aumentada em 9,1%, a média do tempo indisponível é reduzida em 55,9% (de 617 para 272 horas). Portanto, demonstra-se que otimizar os níveis de estoque com base em diferentes restrições permite compreender o trade-off entre disponibilidade e custo de modo a auxiliar a empresa a escolher a estratégia de estoque que utilize os recursos com eficiência e atenda às expectativas operacionais.Palavras-chave: Manutenção. Estoque. Sobressalentes.Abstract: This paper presents a simulation model to evaluate the total downtime of a power generation plant due to lack of spare parts as a function of inventory levels of each one of these parts. The model considers items that appear once or twice in the system with reliability configuration such as series and parallel, with or without preventive replacement policy. The stochastic optimization based on Scatter Search metaheuristic is used to set inventory levels in order to minimize the mean total downtime due to lack of parts and respecting the statistical constraints over the total amount spent for the planning horizon. The results indicated that, for example, if the cost constraint of R$ 550,000 for 10 years is increased by 9.1%, the mean total downtime is reduced by 55.9% (from 617 to 272 hours).Therefore, it demonstrates that optimization of inventory levels based on different constraints allows us to understand the trade-off between availability and cost, which helps the company to choose inventory (stock) strategy that uses resources efficiently and meets operational expectations.Keywords: Maintenance, Inventory. Spare parts. INTRODUÇÃOExiste, por parte da administração de usinas hidrelétricas, a preocupação em O artigo estrutura-se do seguinte modo: na seção 2 apresenta-se uma revisão da literatura associada ao tema dimensionamento de peças de reposição, indisponibilidade de sistemas e custos. Na seção 3 detalha-se o desenvolvimento do modelo de simulação e otimização, além de apresentar aplicação numérica. Na seção 4 apresenta-se as principais conclusões. REVISÃO DE LITERATURA MODELO: DESENVOLVIMENTO, APLICAÇÃO E DISCUSSÕESAs principais características do problema envolvendo demanda estocástica de peças, níveis de estoque, indisponibilidade causada pela falta de peças e custos são:• a duraçã...

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Spare parts management: Linking distributional assumptions to demand classification

Cited by 57 publications

References 52 publications

Forecasting for remanufacturing: The effects of serialization

Forecasting for remanufacturing: The effects of serialization

A demand–supply interference technique for modeling Spare parts inventory policy

Modelo para determinar as quantidades em estoque de peças sobressalentes em uma planta de geração de energia

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