2013
DOI: 10.5267/j.ijiec.2013.07.002
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Volume flexible multi items inventory system with imprecise environment

Abstract: This paper addresses a multi items volume flexible system for time dependent decaying items with the concept of machine breakdown and imprecise environment. In this study, partially backlogged shortages have been discussed. All the costs are fuzzified with signed distance method. Numerical examples are given to illustrate the theoretical results and sensitivity analysis is given to validate the results for various parameters

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Cited by 9 publications
(5 citation statements)
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“…Yadav et al (2010) focused on production model under limited storage with flexibility and reliability consideration. Singhal (2013) developed volume flexible inventory system in Fuzzy environment. Panda and Maiti (2009) developed a multi-item inventory model with price dependent demand with flexibility and reliability consideration under fuzzy environment using geometric programming approach.…”
Section: Introductionmentioning
confidence: 99%
“…Yadav et al (2010) focused on production model under limited storage with flexibility and reliability consideration. Singhal (2013) developed volume flexible inventory system in Fuzzy environment. Panda and Maiti (2009) developed a multi-item inventory model with price dependent demand with flexibility and reliability consideration under fuzzy environment using geometric programming approach.…”
Section: Introductionmentioning
confidence: 99%
“…Kumar et al (2013) presented two-warehouse inventory model with K-release rule and learning effect. Singhal and Singh (2013) developed volume flexible multi items inventory system with imprecise environment.…”
Section: Introductionmentioning
confidence: 99%
“…Later on, Aggarwal and Jaggi (1995) discussed the inventory model considering deterioration and permissible delay in payment. Other motivating mechanisms in this research area are those of Teng (2002), Ouyang et al (2006), Khanra et al (2011), , Teng et al (2012), Singhal & Singh (2013) and Singh and Sharma (2013).…”
Section: Introductionmentioning
confidence: 99%