 An economic production quantity inventory model with a defective production system and uncertain uptimeAmir Hossein Nobil and Amir Hosein Afshar Sedigh International Journal of Inventory Research, 2017, vol. 4, issue 2/3, 132-147 Abstract: In this study, a fuzzy mathematical programming for an inventory system with defective items is considered. The system consists of a single machine that requires maintenance to enhance its efficiency, performance and lifespan. Due to the environmental uncertainties, uptime is estimated based on the linguistic variables, i.e., experts' opinions. So, the inherited uptime is a fuzzy number in trapezoid form, i.e., machine works certainly up to a time and it fails with an optimistic and pessimistic estimation. Moreover, machinery should go through a preventive maintenance procedure during downtime. The proposed model helps production managers to reduce system costs by improving machine efficiency and performance employing appropriate maintenance policies. To solve the proposed problem, we optimise system costs by calculating optimum production cycle using an algorithm to calculate upper and lower bounds of inherited crisp problem. Finally, a numerical example is represented to investigate the effectiveness of the proposed algorithm. Keywords: fuzzy programming model; economic batch quantity; defective production system; maintenance policy. (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:ids:ijires:v:4:y:2017:i:2/3:p:132-147 Access Statistics for this article More articles in International Journal of Inventory Research from Inderscience Enterprises Ltd |
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