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Article type: Research Article
Authors: Maity, Sumana; * | De, Sujit Kumarb | Pal, Madhumangala | Mondal, Sankar Prasadc
Affiliations: [a] Department of Applied Mathematics with Oceanology and Computer Programming, Vidyasagar University, W.B. India | [b] Department of Mathematics, Midnapore College (Autonomous), W.B. India | [c] Department of Applied Science, Maulana Abul Kalam Azad University of Technology, W.B, India
Correspondence: [*] Corresponding author. Suman Maity, Department of Applied Mathematics with Oceanology and computer programming, Vidyasagar University, Paschim Medinipur-721102, W.B. India. Tel.: +917407906711; E-mail: [email protected].
Abstract: This article deals with an economic order quantity inventory model of imperfect items under non-random uncertain demand. Here we consider the customers screen the imperfect items during the selling period. After a certain period of time, the imperfect items are sold at a discounted price. We split the model into three cases, assuming that the demand rate increases, decreases, and is constant in the discount period. Firstly, we solve the crisp model, and then the model is converted into a fuzzy environment. Here we consider the dense fuzzy, parabolic fuzzy, degree of fuzziness and cloudy fuzzy for a comparative study. The basic novelty of this paper is that a computer-based algorithm and flow chart have been given for the solution of the proposed model. Finally, sensitivity analysis and graphical illustration have been given to check the validity of the model.
Keywords: Imperfect inventory, dense fuzzy number, parabolic fuzzy number, cloudy fuzzy number, degree of fuzziness, optimization
DOI: 10.3233/JIFS-210856
Journal: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 6, pp. 6923-6934, 2021
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