 Analysis of production systems with potential for severe disruptionsK.L. Luangkesorn, G. Klein and B. Bidanda International Journal of Production Economics, 2016, vol. 171, issue P4, 478-486 Abstract: Organizations often have to make production capacity decisions in a setting where production disruptions occur. This presents managers with a combination of strategic capacity decisions and operational inventory management options to manage disruptions. This paper uses Bayesian methods to analyze operational data where data on parameters required in logistics models are unavailable, then models production and inventory management in systems that have the potential for major disruptions. The produce-to-stock with production disruptions model is applicable to systems where the decision on production rate is coupled with the setting of the base stock level when production disruptions are possible. The model is applied to a proposed food processing facility at a correctional institution that is subject to disruptions due to safety and security issues. Keywords: Production interruptions; Produce to stock; Food processing; Correctional industries; Simulation; Bayesian methods (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:171:y:2016:i:p4:p:478-486 DOI: 10.1016/j.ijpe.2015.09.014 Access Statistics for this article International Journal of Production Economics is currently edited by Stefan Minner More articles in International Journal of Production Economics from Elsevier |
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