Joint Planning of Maintenance and Spare Parts Provision for Industrial Plant

Farhad Zahedi-Hosseini ()
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Farhad Zahedi-Hosseini: University of Salford, School of Science, Engineering and Environment

A chapter in Multicriteria and Optimization Models for Risk, Reliability, and Maintenance Decision Analysis, 2022, pp 443-457 from Springer

Abstract: Abstract Many research papers in the literature have concentrated on developing analytical models, which use assumptions that make them less suitable to be implemented in industrial situations. The flexibility of simulation, as a modelling environment, enables researchers to tackle these real-life problems, bringing models and theory closer to practice. In this chapter, simulation is used for two case examples of joint maintenance inventory planning for (i) a single machine and (ii) two machines working in parallel. In the former study, several inventory policies are used to identify the most cost-effective replenishment policy. The objective of the second example is to identify policies which would minimise the occurrence of downtime in production systems, where machines are working in parallel. This example highlights contexts for which analytical models cannot be developed due to the underlying difficulty in mathematical analysis and intractability. For developing the models, a general-purpose discrete-event simulation language is used. Several diverse maintenance and inventory policies are used for both production configurations in order to determine and compare the average cost per unit time as the optimality criterion.

Keywords: Maintenance; Inventory policy; Spare parts; Parallel systems; Delay-time; Simulation (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-030-89647-8_21

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DOI: 10.1007/978-3-030-89647-8_21

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