Development of a fuzzy economic order quantity model of deteriorating items with promotional effort and learning in fuzziness with a finite time horizon

Amalendu Singha Mahapatra, Biswajit Sarkar, Maheswar Singha Mahapatra, Hardik N. Soni, Sanat Kumar Mazumder

Research output: Contribution to journalArticle

Abstract

This study investigates an economic order quantity model of deteriorating items, where demand is fuzzy in nature and depends on promotional effort with full backorder for a given time horizon. The learning effect in the fuzzy environment is added in this model. A constant deterioration rate is assumed. Under these circumstances, a mathematical model is developed to curtail the total cost over a finite time horizon by determining the replenishment order quantity, number of replenishments, and the fraction of the replenishment cycle when inventory is positive. A solution algorithm is developed to find the optimal solutions. The applicability of the proposed model is illustrated through numerical examples. To get further insights, sensitivity analysis is carried out for the main parameters in crisp, fuzzy, and fuzzy-learning environments.

Original languageEnglish
Article number36
JournalInventions
Volume4
Issue number3
DOIs
Publication statusPublished - 2019 Sep

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Economics
Sensitivity analysis
Deterioration
Mathematical models
Costs

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Mahapatra, Amalendu Singha ; Sarkar, Biswajit ; Mahapatra, Maheswar Singha ; Soni, Hardik N. ; Mazumder, Sanat Kumar. / Development of a fuzzy economic order quantity model of deteriorating items with promotional effort and learning in fuzziness with a finite time horizon. In: Inventions. 2019 ; Vol. 4, No. 3.
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Development of a fuzzy economic order quantity model of deteriorating items with promotional effort and learning in fuzziness with a finite time horizon. / Mahapatra, Amalendu Singha; Sarkar, Biswajit; Mahapatra, Maheswar Singha; Soni, Hardik N.; Mazumder, Sanat Kumar.

In: Inventions, Vol. 4, No. 3, 36, 09.2019.

Research output: Contribution to journalArticle

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