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An inventory model for deteriorating items with partial backlogging using linear demand in fuzzy environment

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  • Neeraj Kumar
  • Sanjey Kumar

Abstract

This model presents the invention scheduling difficulty in industry with different operational constraints, as well as strategic plan of the business, revenue purpose, and limit on finishing. In this article, we have studied an inventory model for deteriorating items with shortages under partially backlogging. The aim of present study is to minimize the total cost function in fuzzy environment. Graded mean representation, signed distance, and centroid methods are used to defuzzify the total cost function over the planning horizon. Further, all costs are defuzzified with the help of triangular fuzzy numbers. Finally, sensitivity analysis is also given to show the effect of the costs.

Suggested Citation

  • Neeraj Kumar & Sanjey Kumar, 2017. "An inventory model for deteriorating items with partial backlogging using linear demand in fuzzy environment," Cogent Business & Management, Taylor & Francis Journals, vol. 4(1), pages 1307687-130, January.
    • Handle: RePEc:taf:oabmxx:v:4:y:2017:i:1:p:1307687
    DOI: 10.1080/23311975.2017.1307687
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    References listed on IDEAS

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    4. Chang, Hung-Chi & Yao, Jing-Shing & Ouyang, Liang-Yuh, 2006. "Fuzzy mixture inventory model involving fuzzy random variable lead time demand and fuzzy total demand," European Journal of Operational Research, Elsevier, vol. 169(1), pages 65-80, February.
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    6. R. Uthayakumar & M. Valliathal, 2011. "Fuzzy Economic Production Quantity Model for Weibull Deteriorating Items with Ramp Type of Demand," International Journal of Strategic Decision Sciences (IJSDS), IGI Global, vol. 2(3), pages 55-90, July.
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