Economic order quantity model for imperfect lot with partial backordering under the effect of learning and advertisement dependent imprecise demand

Suresh Kumar Goyal, S.R. Singh and Dharmendra Yadav

International Journal of Operational Research, 2017, vol. 29, issue 2, 197-218

Abstract: This paper investigates an economic order quantity model in which the demand of items is fuzzy in nature and depends on the frequency of advertisement. Learning effect on number of defective items present in each lot is considered and the possibility of lost sale and backorder are also analysed. Due to impreciseness in demand, profit function is fuzzy in nature. To determine the optimal values of decision variables, equivalent crisp profit function is obtained by applying signed distance method. Algebraic method has been used to obtain optimal order quantity and backorder level in place of differential calculus. A numerical example is used to study the behaviour of the proposed model with respect to different parameters.

Keywords: learning curve; advertisement; signed distance; triangular fuzzy number; lost sale; inventory model. (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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