Spare Parts Planning Decisions
Adiel Teixeira Almeida,
Cristiano Alexandre Virgínio Cavalcante,
Marcelo Hazin Alencar,
Rodrigo José Pires Ferreira,
Adiel Teixeira Almeida-Filho and
Thalles Vitelli Garcez
Additional contact information
Adiel Teixeira Almeida: Universidade Federal de Pernambuco
Cristiano Alexandre Virgínio Cavalcante: Universidade Federal de Pernambuco
Marcelo Hazin Alencar: Universidade Federal de Pernambuco
Rodrigo José Pires Ferreira: Universidade Federal de Pernambuco
Adiel Teixeira Almeida-Filho: Universidade Federal de Pernambuco
Thalles Vitelli Garcez: Universidade Federal de Pernambuco
Chapter Chapter 8 in Multicriteria and Multiobjective Models for Risk, Reliability and Maintenance Decision Analysis, 2015, pp 273-296 from Springer
Abstract:
Abstract: An important issue related to maintenance management is the problem of sizing the amount of spare parts. An excess number of spare parts results in financial losses. However, a lack of spare parts is also negative, because this may result in a loss of production due to the increased downtime of equipment. Therefore, spare parts should be available in quantity and at the right time. Spare part planning decisions need to evaluate multidimensional objectives, such as costs, profitability, reliability, availability and probability of stockout. Typically, these objectives are conflicting. Unlike a single objective approach, which often implies the poor performance of other objectives desired by the decision maker (DM), a multicriteria (MCDM/A) approach provides a spectrum of compromise solutions, which reflect the tradeoffs represented by DM’s preference structure, by using a multi-attribute utility function. Another relevant aspect is the management of uncertainties about the reliability or maintainability of the system, using the concepts of Decision Theory and a Bayesian approach, which incorporate experts’ prior knowledge. This chapter presents a model, based on Multi-attribute Utility Theory (MAUT), for spare parts sizing that considers aspects of the risk of inventory shortages and cost. Furthermore, an NSGA-II multi-objective model for multiple spare parts sizing is discussed. Finally, a model considering condition-based maintenance (CBM) is presented.
Keywords: Pareto Front; Preventive Maintenance; Spare Part; Critical Item; Maintenance Policy (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-319-17969-8_8
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DOI: 10.1007/978-3-319-17969-8_8
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