 A fuzzy replenishment policy for deteriorating items with ramp type demand rate under inflationG.C. Mahata and A. Goswami International Journal of Operational Research, 2009, vol. 5, issue 3, 328-348 Abstract: Normally, the real-world inventory control problems are imprecisely defined and human interventions are often required to solve these decision-making problems. In this paper, a realistic inventory model with imprecise inventory costs have been formulated for deteriorating items under inflation. Shortages are allowed and the demand rate is taken as a ramp type function of time as well. For generality, we not only provide the solution for the inventory system, where the inventory starts with no shortages; but also enumerate two possible shortage models in the fuzzy sense. We have introduced fuzzy multi-objective mathematical programming with the triangular fuzzy number and it is applied as cost coefficients to the inventory problem. Pareto optimal solution of this multi-objective mathematical programming is established. Numerical example has been provided to illustrate the problem. Finally, sensitivity analysis is carried out to identify the most sensitive parameters in the system. Keywords: inventory control; ramp type demand rate; deteriorating items; fuzzy cost coefficients; graded mean integration representation; fuzzy replenishment; inflation; replenishment policy; inventory modelling. (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:ijores:v:5:y:2009:i:3:p:328-348 Access Statistics for this article More articles in International Journal of Operational Research from Inderscience Enterprises Ltd |
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