Optimizing Eco-Friendly Inventory Investment for Deteriorating Products with Carbon Emission Control and Demand Sensitivity: A Pythagorean Fuzzy Approach under Cap-and-Trade Policies
DOI:
https://doi.org/10.32628/IJSRST251311Keywords:
eco-friendly inventory, carbon cap-and-trade, demand sensitivity, preservation technology, Pythagorean fuzzy numbers, partial backlogging, green investment, deterioration, emission control, sustainable profitAbstract
This study presents an eco-friendly inventory investment model for deteriorating products, focusing on sustainable practices under a carbon cap-and-trade policy. The model incorporates demand factors such as advertising, price, stock levels, and the ratio of herbal to chemical ingredients to meet consumer interest in environmentally friendly products. Additionally, the model includes partial backlogging and leverages preservation technology to mitigate deterioration. A unique Pythagorean fuzzy approach is used to address uncertainties in cost parameters, and a mathematical framework optimizes the total profit by considering carbon emissions from inventory processes. The results show that optimal inventory management under a sustainable environment and emission regulation yields higher profitability while reducing environmental impact. Sensitivity analysis highlights the critical role of price and demand sensitivity in profit optimization, providing strategic insights for decision-makers focused on green inventory investments.
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References
Bardhan, S., Pal, H., & Giri, B. C. (2019). Optimal replenishment policy and preservation technology investment for a non-instantaneous deteriorating item with stock-dependent demand. Operational Research, 19, 347–368. DOI: https://doi.org/10.1007/s12351-017-0302-0
Chaudhary, U., Singh, S. R., & Sharma, V. (2014). A supply chain model for deteriorating items under inflation with preservation technology. In Proceedings of the 3rd International Conference on Recent Trends in Engineering and Technology (ICRTET 2014), (Vol. 1).
De, D., & et al. (2015). Inventory modeling for non-instantaneous deteriorating items in fuzzy random demand environment. Journal of Industrial and Management Optimization, 15(3), 120-131.
Dye, C. Y., & Hsieh, T. P. (2013). A particle swarm optimization for solving lot-sizing problem with fluctuating demand and preservation technology cost under trade credit. Journal of Global Optimization, 55, 655–679. DOI: https://doi.org/10.1007/s10898-012-9950-z
Dye, C. Y., & Yang, C. T. (2016). Optimal dynamic pricing and preservation technology investment for deteriorating products with reference price effects. Omega, 62, 52–67. DOI: https://doi.org/10.1016/j.omega.2015.08.009
Giri, B. C., Pal, H., & Maiti, T. (2017). A vendor-buyer supply chain model for time-dependent deteriorating items with preservation technology investment. International Journal of Mathematics in Operational Research, 10(4), 431–449. DOI: https://doi.org/10.1504/IJMOR.2017.084158
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. DOI: https://doi.org/10.1016/j.ijpe.2009.11.034
He, Y., & Huang, H. (2013). Optimizing inventory and pricing policy for seasonal deteriorating products with preservation technology investment. Journal of Industrial Engineering, 2013. DOI: https://doi.org/10.1155/2013/793568
Jani, M. Y., Betheja, M. R., Chaudhari, U., & Sarkar, B. (2021). Optimal investment in preservation technology for variable demand under trade-credit and shortages. Mathematics, 9(11), 1301. DOI: https://doi.org/10.3390/math9111301
Jawla, P., & Singh, S. (2016). Multi-item economic production quantity model for imperfect items with multiple production setups and rework under the effect of preservation technology and learning environment. International Journal of Industrial Engineering Computations, 7(4), 703–716. DOI: https://doi.org/10.5267/j.ijiec.2016.2.003
Liu, G., Zhang, J., & Tang, W. (2015). Joint dynamic pricing and investment strategy for perishable foods with price-quality dependent demand. Annals of Operations Research, 226, 397–416. DOI: https://doi.org/10.1007/s10479-014-1671-x
Mishra, V. K. (2014). Controllable deterioration rate for time-dependent demand and time-varying holding cost. Yugoslav Journal of Operations Research, 24(1), 87–98. DOI: https://doi.org/10.2298/YJOR120823018M
Pal, H., Bardhan, S., & Giri, B. C. (2018). Optimal replenishment policy for non-instantaneously perishable items with preservation technology and random deterioration start time. International Journal of Management Science and Engineering Management, 13(3), 188–199. DOI: https://doi.org/10.1080/17509653.2017.1372228
Sarkar, B., Mandal, B., & Sarkar, S. (2017). Preservation of deteriorating seasonal products with stock-dependent consumption rate and shortages. Journal of Industrial Management Optimization, 13(1), 187–206. DOI: https://doi.org/10.3934/jimo.2016011
Sepehri, A., Mishra, U., & Sarkar, B. (2021). A sustainable production-inventory model with imperfect quality under preservation technology and quality improvement investment. Journal of Cleaner Production, 310, 127332. DOI: https://doi.org/10.1016/j.jclepro.2021.127332
Sindhuja, S., & Arathi, P. (2023). An inventory model for deteriorating products under preservation technology with time-dependent quality demand. Cogent Engineering, 10(1), 2176968. DOI: https://doi.org/10.1080/23311916.2023.2176968
Singh, S. R., Khurana, D., & Tayal, S. (2016). An economic order quantity model for deteriorating products having stock-dependent demand with trade credit period and preservation technology. Uncertain Supply Chain Management, 4(1), 29–42. DOI: https://doi.org/10.5267/j.uscm.2015.8.001
Singh, S. R., & Rathore, H. (2015). Optimal payment policy with preservation technology investment and shortages under trade credit. Indian Journal of Science and Technology, 203–212. DOI: https://doi.org/10.17485/ijst/2015/v8iS7/64489
Tsao, Y. C. (2016). Joint location, inventory, and preservation decisions for non-instantaneous deterioration items under delay in payments. International Journal of Systems Science, 47(3), 572–585. DOI: https://doi.org/10.1080/00207721.2014.891672
Yang, C. T., Dye, C. Y., & Ding, J. F. (2015). Optimal dynamic trade credit and preservation technology allocation for a deteriorating inventory model. Computers & Industrial Engineering, 87, 356–369. DOI: https://doi.org/10.1016/j.cie.2015.05.027
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