Role of time dependent parabolic demand for deteriorating items and time dependent partial back order in an EOQ model of seasonal fruits under intuitionistic fuzzy environment

This study stimulates a major business factor for seasonal retailers and farmers that meet big goals by minimising the total inventory cost of seasonal agro products. At the rising of every season, demands start with shortages, and it takes time to fully filled a prime time. After that, a fresh order is placed to meet demand and deterioration for the remaining time. So, the model designed here stands with its implementation in a manufacturing concern. Here, we introduced an economic order quantity (EOQ) model with a time-dependent parabolic demand and constant deterioration rates, shortages allowed with payment delays, and a partial backorder. For a more realistic feeling, the uncertainty occurs, the model is simultaneously constructed under a crisp and intuitionistic fuzzy environment the trade credit policy up to stock-out time is planned for both cases. The numerical example and the sensitivity analysis have been done for both environments.

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Publication Details

Journal
International Journal of Operational Research
Published
2025-01-01
DOI
https://doi.org/10.1504/ijor.2025.146937
Primary Topic
Color perception and design
Type
article
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article

Role of time dependent parabolic demand for deteriorating items and time dependent partial back order in an EOQ model of seasonal fruits under intuitionistic fuzzy environment

Sriparna Chowdhury, Pritha Das, Prokash Mondal, Sanat Kumar Majumder et al.
International Journal of Operational Research
Color perception and design
article

Role of time dependent parabolic demand for deteriorating items and time dependent partial back order in an EOQ model of seasonal fruits under intuitionistic fuzzy environment

Sriparna Chowdhury, Pritha Das, Prokash Mondal, Sanat Kumar Majumder, Kajal De
article en

Abstract

This study stimulates a major business factor for seasonal retailers and farmers that meet big goals by minimising the total inventory cost of seasonal agro products. At the rising of every season, demands start with shortages, and it takes time to fully filled a prime time. After that, a fresh order is placed to meet demand and deterioration for the remaining time. So, the model designed here stands with its implementation in a manufacturing concern. Here, we introduced an economic order quantity (EOQ) model with a time-dependent parabolic demand and constant deterioration rates, shortages allowed with payment delays, and a partial backorder. For a more realistic feeling, the uncertainty occurs, the model is simultaneously constructed under a crisp and intuitionistic fuzzy environment the trade credit policy up to stock-out time is planned for both cases. The numerical example and the sensitivity analysis have been done for both environments.

International Journal of Operational ResearchVol. 53(3)
Netaji Subhas Open University (IN), Indian Institute of Engineering Science and Technology, Shibpur (IN)
Climate action
Openalex Percentile: Top 83%
Color perception and design
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