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Erschienen in:
Behavior Analysis of Polytube Industry Using Fuzzy Set Theory and Particle Swarm Optimization Kapitel lesen Erstes Kapitel lesen

2021 | OriginalPaper | Buchkapitel

5. Multi-State Reconfigurable Manufacturing System Configuration Design with Availability Consideration

verfasst von : Lokesh Kumar Saxena, Pramod Kumar Jain

Erschienen in: Reliability and Risk Modeling of Engineering Systems

Verlag: Springer International Publishing

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Abstract

The capability of a reconfigurable manufacturing system (RMS) configuration depends upon its availability to meet demands. This chapter presented a multi-objective and multi-state reconfigurable manufacturing systems model for optimal configuration selection. Two objectives were considered, namely, total cost and availability for optimal configuration selection. The availability of RMS was estimated using the modified universal generating function (UGF). An integrated objective function is formulated in this chapter considering total cost and availability of system. The decision makers considered various scenarios for configuration selection, such as no weight, 50–50% weight and 40–60% weight for total cost objective and availability objective. According to weights, Option-1 was found optimal for scenario with no weight and 50–50% weight for total cost objective and availability objective. Option-2 was found optimal for scenario with 44–60% weight for total cost objective and availability objective.

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Vorheriges Kapitel Integrating Reliability, Availability, and Maintainability Issues for Analyzing Failures in Fuel Injection Pump
Nächstes Kapitel Reliability and Availability Analysis of a Standby System of PCB Manufacturing Unit
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Metadaten
Titel
Multi-State Reconfigurable Manufacturing System Configuration Design with Availability Consideration
verfasst von
Lokesh Kumar Saxena
Pramod Kumar Jain
Copyright-Jahr
2021
Buch
Reliability and Risk Modeling of Engineering Systems

Print ISBN: 978-3-030-70150-5

Electronic ISBN: 978-3-030-70151-2

Copyright-Jahr: 2021

DOI
https://doi.org/10.1007/978-3-030-70151-2_5

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