A Fuzzy EOQ Model with Exponential Demand and Deterioration with Preservation Technology
Ganesh Kumar
Additional contact information
Ganesh Kumar: University of Rajasthan, Department of Mathematics
Chapter Chapter 27 in Fuzzy Optimization, Decision-making and Operations Research, 2023, pp 619-638 from Springer
Abstract:
Abstract Stock management is the most significant consideration in the industry of deteriorating goods such as drugs, pharmaceuticals, eatables, and blood. It is important to use preservation technology to keep them useful for a long time. Many inventory models consider deterioration and use preservation technologies to monitor deterioration. This paper is a contribution involving continuous and instantaneous degradation in which demand is assumed to be exponential, and shortages are not permitted. Preservation technology is used to keep deterioration under control. In most cases, it is optional to make an exact determination of the various costs that are linked with the model. As a result, to get a rough approximation of the results, we first used a method that was a little less precise than others, called the fuzzy approach. Then the problem is made crisp using the defuzzification technique. In both the crisp and fuzzy scenarios, a mathematical formulation is created and solved with a differentiation tool to determine the procedure that achieves the result with the lowest total cost. For justification of the model, numerical illustrations are provided. Managerial perspectives and parameter observations are obtained by keeping one parameter constant while modifying the others. The effect of changes in total cost, economic order quantity, and optimal time on input parameters is investigated.
Date: 2023
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-35668-1_27
Ordering information: This item can be ordered from
http://www.springer.com/9783031356681
DOI: 10.1007/978-3-031-35668-1_27
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().