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A sustainable retailer’s inventory model to study the partial replacement for deteriorating items with variable shelf-life

Author

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  • Nabajyoti Bhattacharjee

    (Pandit Deendayal Upadhayay Govt. Model College)

  • Nabendu Sen

    (Assam University)

  • Sanjukta Malakar

    (Assam University)

Abstract

The management of inventory is an important part of a retailer’s market, especially when dealing with deteriorating products with a finite shelf-life in order to minimize the total cost of inventory and make market policies. Replacement for expired products is an effective policy through which retailers can restore the lost products with zero purchase cost. Although, in the real world, the complete replacement of the expired products is not entertained by the manufacturer. In such a situation partial replacement can save the retailer to maintain the demand of the customer. In this paper, a sustainable retailer’s inventory model is proposed for deteriorating items with variable shelf-life. The model is developed to studyand investigate the partial replacement policywith a non-zero replacement period. Numerical illustrations are provided to validate the model along with sensitivity analysis and managerial insights.

Suggested Citation

  • Nabajyoti Bhattacharjee & Nabendu Sen & Sanjukta Malakar, 2022. "A sustainable retailer’s inventory model to study the partial replacement for deteriorating items with variable shelf-life," OPSEARCH, Springer;Operational Research Society of India, vol. 59(4), pages 1502-1521, December.
  • Handle: RePEc:spr:opsear:v:59:y:2022:i:4:d:10.1007_s12597-022-00598-w
    DOI: 10.1007/s12597-022-00598-w
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    References listed on IDEAS

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    1. Han-Wen Tuan & Kuo-Chen Hung & Gino K. Yang, 2021. "Inventory Model with Fixed Shelf Life under Generalized Non-Increasing Demand," Mathematics, MDPI, vol. 9(21), pages 1-15, October.
    2. Javad Sadeghi & Seyed Taghi Akhavan Niaki & Mohammad Reza Malekian & Saeid Sadeghi, 2016. "Optimising multi-item economic production quantity model with trapezoidal fuzzy demand and backordering: two tuned meta-heuristics," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 10(2), pages 170-195.
    3. Shah, Nita H & Soni, Hardik N & Patel, Kamlesh A, 2013. "Optimizing inventory and marketing policy for non-instantaneous deteriorating items with generalized type deterioration and holding cost rates," Omega, Elsevier, vol. 41(2), pages 421-430.
    4. Gour Chandra Mahata, 2016. "Optimal ordering policy with trade credit and variable deterioration for fixed lifetime products," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 25(3), pages 307-326.
    5. Priyamvada & Prerna Gautam & Aditi Khanna, 2021. "Sustainable production strategies for deteriorating and imperfect quality items with an investment in preservation technology," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(5), pages 910-918, October.
    6. Umakanta Mishra & Leopoldo Eduardo Cárdenas-Barrón & Sunil Tiwari & Ali Akbar Shaikh & Gerardo Treviño-Garza, 2017. "An inventory model under price and stock dependent demand for controllable deterioration rate with shortages and preservation technology investment," Annals of Operations Research, Springer, vol. 254(1), pages 165-190, July.
    7. Wei Huang & Vidyadhar Kulkarni & Jayashankar M. Swaminathan, 2008. "Managing the Inventory of an Item with a Replacement Warranty," Management Science, INFORMS, vol. 54(8), pages 1441-1452, August.
    8. Tal Avinadav & Teijo Arponen, 2009. "An Eoq Model For Items With A Fixed Shelf-Life And A Declining Demand Rate Based On Time-To-Expiry Technical Note," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 26(06), pages 759-767.
    9. Dye, Chung-Yuan & Yang, Chih-Te, 2016. "Optimal dynamic pricing and preservation technology investment for deteriorating products with reference price effects," Omega, Elsevier, vol. 62(C), pages 52-67.
    10. Muriana, Cinzia, 2016. "An EOQ model for perishable products with fixed shelf life under stochastic demand conditions," European Journal of Operational Research, Elsevier, vol. 255(2), pages 388-396.
    11. Seema Sharma & Sanjay Singh & S.R. Singh, 2018. "An inventory model for deteriorating items with expiry date and time varying holding cost," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 11(5), pages 650-666.
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