Economic order quantity model with backorders using trapezoidal fuzzy numbers

Bulancak, Evren; Kırkavak, Nureddin

doi:10.1109/icsccw.2009.5379488

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…An investigative explanation for a fuzzy EOQ proposed by K. Björk [8]. Trapezoidal fuzzy integer for economic order quantity with backorder applied by E. Bulancak and N. Kirkavak [2]. In this research paper try to extend the present fuzzy economic order quantity model to reflect incomplete backordering.…”

Section: Introductionmentioning

confidence: 97%

Fuzzy Economic Order Quantity (EOQ) Model Through Fractional Backorder

Patel,

Gupta

2023

ijmst

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This paper has analyzed fuzzy EOQ model through fractional back order for inventory system. Here, under function principle, fuzzy entire behavior cost of the model is calculated. The ideal EOQ is derived through median rule. This approach can be very helpful when the precise data of Fuzzy variables is unavailable. In this paper for recommended fuzzy EOQ model, the ideal resolution for the proposed fuzzy EOQ model is slightly greater than the economic order quantity (EOQ) in crisp value because of the scarcity of data. Partial backorder of fuzzy system, Setup and interrelated mechanism for implementation of fuzzy set for inventory system with partial backorder, A numerical example and conclusion are described in different sections.

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Section: Introductionmentioning

confidence: 97%

Fuzzy Economic Order Quantity (EOQ) Model Through Fractional Backorder

Patel,

Gupta

2023

ijmst

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Fuzzification of EOQ Model Under the Condition of Permissible Delay in Payments

Jaggi

Sharma

Jain

2012

International Journal of Strategic Decision Sciences

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This paper formulates an economic order quantity inventory model under the condition of permissible delay in payments in fuzzy environment. All the parameters of the model, excluding permissible delay period and cycle length, are taken to be trapezoidal Fuzzy numbers. The arithmetic operations are defined under the function principle. The cost function has been defuzzified using signed distance method and thereby solved to obtain the optimal replenishment period. The numerical example is presented to show the validity of the model followed by sensitivity analysis.

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Economic order quantity model with backorders using trapezoidal fuzzy numbers

Cited by 2 publications

References 18 publications

Fuzzy Economic Order Quantity (EOQ) Model Through Fractional Backorder

Fuzzy Economic Order Quantity (EOQ) Model Through Fractional Backorder

Fuzzification of EOQ Model Under the Condition of Permissible Delay in Payments

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