2019
DOI: 10.1007/s12046-019-1059-3
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A comprehensive study of an economic order quantity model under fuzzy monsoon demand

Abstract: This article deals with a classical economic order quantity (EOQ) model under monsoon type fuzzy demand rate. It is nothing but the generalization of cloudy fuzzy model. We split the EOQ model into three parts according to the real-time fuzzy components of the demand rate. To defuzzify the model we develop an algorithm and the solution is obtained with the help of a nonlinear optimization technique that requires maximum aspiration level of the fuzzy membership of the objective function. Moreover, for comparati… Show more

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Cited by 26 publications
(8 citation statements)
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“…One limitation of this paper is that the advance payment part α belongs to the range 0 < α < 1 3 as obtained in Lemma 3.2. Some possible future directions for research are that: (i) the paper can be extended to imperfect production inventory model with two-layer supply chain with multi-items with fuzzy monsoon demand De and Mahata [12] and (ii) can be extended to imperfect production inventory model with three-layer supply chain retailer offers credit period to his/her customer.…”
Section: Conclusion and Future Researchmentioning
confidence: 99%
“…One limitation of this paper is that the advance payment part α belongs to the range 0 < α < 1 3 as obtained in Lemma 3.2. Some possible future directions for research are that: (i) the paper can be extended to imperfect production inventory model with two-layer supply chain with multi-items with fuzzy monsoon demand De and Mahata [12] and (ii) can be extended to imperfect production inventory model with three-layer supply chain retailer offers credit period to his/her customer.…”
Section: Conclusion and Future Researchmentioning
confidence: 99%
“…Sakulsom and Tharmmaphornphilas [3] investigated the periodic-review policy with seasonal demand, with known lead time, where there is one warehouse and N retailers. DE and Mahata [47] investigated an EOQ model under monsoon type fuzzy demand rate where cycle time is a decision variable, without any consideration for lead time, and shortages are not allowed. Sakulsom and Tharmmaphornphilas [48] considered the case when the system has a seasonal demand within a cycle of one week, and generated heuristics for a periodic-review policy.…”
Section: Literature Reviewmentioning
confidence: 99%
“…31 The cloudy fuzzy set is basically the better extensions of De and Beg. 32,33 In its continuation researchers, like, Karmakar et al 34,35 and De and Mahata, 36 have utilized fuzzy lock set, dense fuzzy set, and monsoon-type fuzzy set, respectively, in developing their models also. Recently De 37 studied a new defuzzification method involving time-series data.…”
Section: Review Of Literaturementioning
confidence: 99%