Green inventory routing problem using hybrid genetic algorithm. Journal of Computing Research and Innovation, 6 (4). pp. 10-19. ISSN 2600-8793 (2021)
Abstract
Carbon dioxide (CO2) is known as one of the largest sources of global warming. One of the ways to curb CO2 emissions is by considering the environmental aspect in the supply chain management. This paper analyses the influence of carbon emissions on the Inventory Routing Problem (IRP). The IRP
network consists of a depot, an assembly plant and multiple suppliers. The deterministic demands vary and are determined by the assembly plant. Fixed transportation cost, fuel consumption cost and inventory holding cost are used to evaluate the system’s total cost in which fuel consumption cost is determined by fuel consumption rate, distance, and fuel price. Backordering and split pick-up are not allowed. The main purpose of this study is to analyze the distribution network especially the overall costs of the supply chain by considering the CO2 emissions as well. The problem is known as Green Inventory Routing Problem (GIRP). The mixed-integer linear programming of this problem is adopted from Cheng et al. wherein this study a different Hybrid Genetic Algorithm is proposed at mutation operator. As predicted, GIRP has a higher total cost as it considered fuel consumption cost together with the transportation and inventory costs. The results showed the algorithm led to different sequences of routings considering the carbon dioxide emission in the objective function.
| Item Type: | Article |
|---|---|
| Keywords: | Inventory Routing Problem, Algorithm, Hybrid Genetic Algorithm, Carbon emission, Fuel consumption cost |
| Taxonomy: | By Subject > Computer & Mathematical Sciences > Computer Science |
| Local Content Hub: | Subjects > Computer and Mathematical Sciences |
| Depositing User: | Muslim Ismail @ Ahmad |
| Date Deposited: | 22 Feb 2022 23:15 |
| Last Modified: | 22 Feb 2022 23:15 |
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