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

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  • Suresh Kumar Goyal
  • S.R. Singh
  • Dharmendra Yadav

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.

Suggested Citation

  • Suresh Kumar Goyal & S.R. Singh & Dharmendra Yadav, 2017. "Economic order quantity model for imperfect lot with partial backordering under the effect of learning and advertisement dependent imprecise demand," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 29(2), pages 197-218.
    • Handle: RePEc:ids:ijores:v:29:y:2017:i:2:p:197-218
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    Cited by:

    1. Nasr, Walid W. & Jaber, Mohamad Y., 2019. "Supplier development in a two-level lot sizing problem with non-conforming items and learning," International Journal of Production Economics, Elsevier, vol. 216(C), pages 349-363.
    2. Javad Asadkhani & Hadi Mokhtari & Saman Tahmasebpoor, 2022. "Optimal lot-sizing under learning effect in inspection errors with different types of imperfect quality items," Operational Research, Springer, vol. 22(3), pages 2631-2665, July.

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