Volume 24 , Issue 1 , PP: 104-118, 2024 | Cite this article as | XML | Html | PDF | Full Length Article
R. Saarumathi 1 * , W. Ritha 2
Doi: https://doi.org/10.54216/IJNS.240110
This present contemplate confers a productive repertoire replica in which ultimatum is appraised as a basis of medical utilization of fragile commodities by the juvenile diabetes. Abundant embalming mechanisms are drawn on to preserve the Confectionary from putrefaction over time. It is consequential to ascertain that greenhouse gas emissions by virtue of transportation, production and storage of Confectionary is susceptible to putrefaction that has to be steered up. This contemplate recommends an optimal productive repertoire replica considering the production and inventory components for commodities contingent to decline in fuzzy sense using trapezoidal neutrosophic fuzzy number. To determine the minimal overall cost, a comparative study of different cases is authenticated by working out numerical examples using models.
Production inventory model , Greenhouse gas emission , Embalming mechanisms , Anthropocene , Confectionary , Juvenile diabetes , Trapezoidal neutrosophic fuzzy number
[1] Goyal, S.K., and Nebebe, F., (2000). Determination of economic production-shipment policy for a single vendor single buyer system, Eur. J. Oper. Res. 121, pp.175 – 178.
[2] Sana, S.S., (2010). A production inventory model in an imperfect production process, Eur. J. Oper. Res. 200(2), pp.451 – 464.
[3] Ghosh, P.K., Manna, A.K., and Dey, J.K., (2017). Deteriorating manufacturing system with selling price discount under random machine breakdown, Int. J. Comput. Eng. Manag. 20, pp.8 – 17.
[4] Khara, B., Dey, J., Mondal, S., (2020). Sustainable recycling in an imperfect production system with acceptance quality level dependent development cost and demand, Comput. Ind. Eng. 142, http://dx.doi.org/10.1016/j.cie.2020.106300.
[5] Manna, A., Mondal, R., Shaikh, A.A., Ali, I., and Bhunia, A., (2021). Single-manufacturer and multi-retailer supply chain model with pre-payment based partial free transportation, RAIRO Oper. Res. 55, pp.1063 – 1076, http://dx.doi.org/10.1051/ro/2021053.
[6] Modibbo, U.M., Gupta, S., Ali, A., and Ahmed, I., (2022). An integrated multi-objective multi-product inventory managed production planning problem under uncertain environment, Ann. Oper. Res, http://dx.doi.org/10.1007/s10479-022-04795-0.
[7] Mahato, C., and Mahata, G.C., (2022). Optimal replenishment, pricing and preservation technology investment policies for non-instantaneous deteriorating items under two-level trade credit policy, J. Ind. Manag. Optim. 18(5), pp. 3499 – 3537, http://dx.doi.org/10.3934/jimo.2021123.
[8] Rahman, M.S., Manna, A.K., Shaikh, A.A., and Bhunia, A.K., (2020). An application of interval differential equation on a production inventory model with interval-valued demand via centre-radius optimization technique and particle swarm optimization, Int. J. Intell. Syst. 35(8), pp.1280 – 1326.
[9] Mishra, U., Wu, J., and Sarkar, B., (2020). A sustainable production–Inventory model for a controllable carbon emission rate under shortages, J. Clean. Prod. 256, 120268, http://dx.doi.org/10.1016/j.jclepro.2020.120268.
[10] Tiwari, S., Daryanto, Y., and Wee, H.M., (2018). Sustainable inventory management with deteriorating and imperfect quality items considering carbon emission, J. Clean. Prod. 192, pp.281 – 292.
[11] De-La-Cruz-Maŕquez, C.G., Cárdenas-Barrón, L.E., and Mandal, B., (2021). An inventory model for growing items with imperfect quality when the demand is price sensitive under carbon emissions and shortages, Math. Probl. Eng. 6649048, http://dx.doi.org/10.1155/2021/6649048.
[12] Jauhari, W.A., Pujawan, I.N., and Suef, M., (2021). A closed-loop supply chain inventory model with stochastic demand, hybrid production, carbon emissions, and take-back incentives, J. Clean. Prod. 320, http://dx.doi.org/10.1016/j.jclepro.2021.128835.
[13] Yadav, D., Kumari, R., Kumar, N., and 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, J. Clean. Prod. 297, 126298, http://dx.doi.org/10.1016/j.jclepro.2021.126298.
[14] Wei, H., Jiang, Y., and Zhang, Y., (2015). A review of two population growth models and an analysis of factors affecting the Chinese population growth, Asian J. Econ. Model. 3(1), pp. 8 – 20.
[15] Mwakisisile, A.J., and Mushi, A.R., (2019). Mathematical model for Tanzania population growth, Tanzania J. Sci. 45(3), pp.346 – 354.
[16] Bhattacharjee, N., Nath, B.K., Sen, N., Malakar, S., and Jaggi, C.K., (2022). A production inventory model to study the supply chain of agri-product for a time-reliant population, Int. J. Appl. Comput. Math. 8(97), http://dx.doi.org/10.1007/s40819-022-01286-5.