| Autor: |
Kar, Chaitali, Aktar, Md Samim, De, Manoranjan, Maiti, Manoranjan, Das, Pritha |
| Zdroj: |
International Journal of Systems Science: Operations & Logistics; December 2024, Vol. 11 Issue: 1 |
| Abstrakt: |
ABSTRACTAccording to FAO (https://www.ft.com/content/c1f2856e-a518-11e3-8988-00144feab7de), 40 percent of India's fresh products perish before reaching consumers. As per ECOFYS's report (http://twosides.info/includes/files/upload/files/UK/Mythsand Facts 2016 Sources/8-9/ECOFYS 2013-world-ghgemissions-flow-chart-2010), road transportation contributes 10.5 percent of total GHGE. Moreover, refrigeration systems increase carbon emissions during cold transportation, and several policies have been introduced to reduce it. Nowadays, due to infrastructural development, there are several connecting routes between different cities for transportation. Selling prices of fruits/vegetables depend on their freshness, which decreases with time. This investigation considers multi-item four-dimensional transportation problems with preservation technology under different $ \textrm{CO}_2 $ CO2reduction policies in fuzzy environment. The availabilities, demands, vehicles' capacities and unit transportation costs are fuzzy in nature. The investigation addresses four different carbon reduction policies- cap, carbon tax, cap-and-sale and cap-and-purchase. The main objective is to find optimum amounts of transported items by selecting appropriate routes and suitable conveyances for minimum total carbon emission and maximum total profit. The formulated models are justified by some real-life numerical experiments. Trade-offs between profit vs. carbon emission and profit vs. preservation cost are numerically depicted. A sensitivity study is conducted to determine the impact of model characteristics. |
| Databáze: |
Supplemental Index |
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