Authors :
Nargis Jahan
Volume/Issue :
Volume 10 - 2025, Issue 4 - April
Google Scholar :
https://tinyurl.com/ye64h2aj
Scribd :
https://tinyurl.com/3ap2bchx
DOI :
https://doi.org/10.38124/ijisrt/25apr1718
Google Scholar
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Note : Google Scholar may take 15 to 20 days to display the article.
Abstract :
Nowadays, customer’s purchasing behaviour gradually changes. They are more shifting towards green products
keeping the selling price of the products in mind. Further, sales team efforts attract the customers also. In the current study,
an EOQ model is developed considering selling price, green level, and sales team effort sensitive demand. The holding cost
is considered as linear function of time. Ordering cost and purchasing cost depends on the greenness level of the products.
Preservation technology is adopted to reduce the economic loss due to deterioration. Optimal values of greenness level and
ordering quantity are obtained so that total profit of the system is maximum. Numerical analysis is carried out and sensitivity
is performed with respect to key parameters. Numerically, it is observed that greenness level has positive impact on the
environment as well as on the profit of the system.
Keywords :
EOQ Model, Deterioration, Preservation Technology, Multi-Variate Demand.
References :
- Alharbi, M. G. (2022). Carbon reduction technology based on imperfect production system for deteriorating items with warranty periods and greenness dependent demand. Sustainability, 14(22), 15061.
- Bakker, M., Riezebos, J., & Teunter, R. H. (2012). Review of inventory systems with deterioration since 2001. European journal of operational research, 221(2), 275-284.
- Bhatnagar, P., Kumar, S., & Yadav, D. (2022). A single-stage cleaner production system with waste management, reworking, preservation technology, and partial backlogging under inflation. RAIRO-Operations Research, 56(6), 4327-4346.
- Das, S. C., Ali, H., Khan, M. A. A., Shaikh, A. A., & Alrasheedi, A. F. (2024). Inventory model for green products with payment strategy, selling price and green level dependent demand using teaching learning based optimization algorithm. Scientific Reports, 14(1), 3033.
- Dey, B. K., Sarkar, B., Sarkar, M., & Pareek, S. (2019). An integrated inventory model involving discrete setup cost reduction, variable safety factor, selling price dependent demand, and investment. RAIRO-Operations Research, 53(1), 39-57.
- Dolai, M., Banu, A., & Mondal, S. K. (2023). Analyzing an imperfect production inventory model for green products considering learning effect on screening process under advertisement dependent credit period. Journal of Industrial & Management Optimization, 19(8).
- Hsu, P. H., Wee, H. M., & Teng, H. M. (2010). Preservation technology investment for deteriorating inventory. International Journal of Production Economics, 124(2), 388-394.
- Kaushik, J. (2024). An inventory model for deteriorating items towards trapezoidal type demand with preservation technology. Opsearch, 61(4), 1681-1712.
- Khan, M. A. A., Shaikh, A. A., Khan, A. R., & Alrasheedi, A. F. (2023). Advertising and pricing strategies of an inventory model with product freshness-related demand and expiration date-related deterioration. Alexandria Engineering Journal, 73, 353-375.
- Kumar, A., Yadav, A. S., & Yadav, D. (2025). A production inventory model for deteriorating items with time and price reliant demand using flower pollination optimization. Reliability: Theory & Applications, 20(1 (82)), 172-188.
- Kumar, S., Sigroha, M., Kumar, K., & Sarkar, B. (2022). Manufacturing/remanufacturing based supply chain management under advertisements and carbon emissions process. RAIRO-Operations Research, 56(2), 831-851.
- Kumar, S., Yadav, D., & Meena, D. (2024). Sustainable Integrated-Inventory Model Under Two-Storage Facility with Fuzzy Demand. In Supply Chain Finance Modelling and Optimization (pp. 273-301). Singapore: Springer Nature Singapore.
- Luo, N., Feng, Z., Liu, Y., Wu, S., & Liang, X. (2025). Tackling food waste: The role of food suppliers’ investment in preservation technology and government intervention. International Journal of Production Economics, 109542.
- Mahapatra, A. S., Mahapatra, M. S., Sarkar, B., & Majumder, S. K. (2022). Benefit of preservation technology with promotion and time-dependent deterioration under fuzzy learning. Expert Systems with Applications, 201, 117169.
- Rastogi, M., & Singh, S. R. (2018). A production inventory model for deteriorating products with selling price dependent consumption rate and shortages under inflationary environment. International journal of procurement management, 11(1), 36-52.
- Shekhar, C., Yadav, V., & Saurav, A. (2024). Optimal analysis of time-price discount-advertisement dependent demand with credit policy for inventory models. Annals of Operations Research, 1-48.
- Yadav, D., & Singh, S. R. (2015). EOQ model with partial backordering for imperfect items under the effect of inflation and learning with selling price dependent demand. International Journal of Computer Applications, 111(17).
- Yadav, D., Kumari, R., & Kumar, N. (2021). Sustainable supply chain model for multi-stage manufacturing with partial backlogging under the fuzzy environment with the effect of learning in screening process. International Journal of Applied and Computational Mathematics, 7(2), 40.
- Yadav, D., Kumari, R., Kumar, N., & Sarkar, B. (2021). Reduction of waste and carbon emission through the selection of items with cross-price elasticity of demand to form a sustainable supply chain with preservation technology. Journal of Cleaner Production, 297, 126298.
- Yadav, D., Singh, S. R., Kumar, S., & Cárdenas-Barrón, L. E. (2022). Manufacturer-retailer integrated inventory model with controllable lead time and service level constraint under the effect of learning-forgetting in setup cost. Scientia Iranica, 29(2), 800-815.
- Yadav, S., Borkar, A., & Khanna, A. (2024). Sustainability enablers with price-based preservation technology and carbon reduction investment in an inventory system to regulate emissions. Management of Environmental Quality: An International Journal, 35(2), 402-426.
Nowadays, customer’s purchasing behaviour gradually changes. They are more shifting towards green products
keeping the selling price of the products in mind. Further, sales team efforts attract the customers also. In the current study,
an EOQ model is developed considering selling price, green level, and sales team effort sensitive demand. The holding cost
is considered as linear function of time. Ordering cost and purchasing cost depends on the greenness level of the products.
Preservation technology is adopted to reduce the economic loss due to deterioration. Optimal values of greenness level and
ordering quantity are obtained so that total profit of the system is maximum. Numerical analysis is carried out and sensitivity
is performed with respect to key parameters. Numerically, it is observed that greenness level has positive impact on the
environment as well as on the profit of the system.
Keywords :
EOQ Model, Deterioration, Preservation Technology, Multi-Variate Demand.