Inventory and pricing decisions for imperfect quality items with inspection errors, sales returns, and partial backorders under inflation
RAIRO - Operations Research - Recherche Opérationnelle, Tome 54 (2020) no. 1, pp. 287-306.

In this paper, an optimal replenishment inventory policy for imperfect quality items is presented with a selling price-dependent demand under inflationary conditions using a discounted cash flow (DCF) approach. Due to the presence of defectives in the system, all items go through a 100% inspection process. However, the screening process is also considered to be imperfect and involves errors, namely Type-I and Type-II. In addition, shortages are allowed and are partially backlogged. An optimal solution for the proposed model is derived by maximizing the expected profit function by jointly optimizing three decision variables: selling price, order quantity, and backorder level. To validate the theoretical results, a numerical example along with comprehensive sensitivity analysis is offered. The model has pertinence in industries like textiles, electronics, furniture, footwear, automobiles, and plastics.

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Accepté le :
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DOI : 10.1051/ro/2018102
Classification : 90B05
Mots-clés : Inventory, Screening errors, Time value of money, Partial Backlogging, Selling price-dependent demand
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     author = {Khanna, Aditi and Kishore, Aakanksha and Sarkar, Biswajit and Jaggi, Chandra K.},
     title = {Inventory and pricing decisions for imperfect quality items with inspection errors, sales returns, and partial backorders under inflation},
     journal = {RAIRO - Operations Research - Recherche Op\'erationnelle},
     pages = {287--306},
     publisher = {EDP-Sciences},
     volume = {54},
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     mrnumber = {4062455},
     zbl = {1437.90012},
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Khanna, Aditi; Kishore, Aakanksha; Sarkar, Biswajit; Jaggi, Chandra K. Inventory and pricing decisions for imperfect quality items with inspection errors, sales returns, and partial backorders under inflation. RAIRO - Operations Research - Recherche Opérationnelle, Tome 54 (2020) no. 1, pp. 287-306. doi : 10.1051/ro/2018102. http://archive.numdam.org/articles/10.1051/ro/2018102/

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