Multi-Objective Optimization of Green Supply Chain Network Designs for Transportation Mode Selection

Abstract

Abstract. This research considers both cost and environmental protection to design a multi-objective optimization model. With multi-period customer demands, the model can solve a multi-plant resource allocation and production planning problem by focusing the decisions on supplier selection, facility selection, production batches, transportation mode selection, and distribution of the materials and commodities of a green supply network. In this paper, four transportation modes, namely, road, rail, air, and sea, have their corresponding transportation time, costs, and CO 2 emissions. Based on multiple planning periods, this research calculates the minimal total cost and total CO2 emissions based on production and transportation capacity. Using numerical analyses, the results show that, when the budget is su cient, only production capabilities with = 1:5 and 2.0 are bene cial for improving environmental protection; carbon dioxide emissions of both production capacities are not signi cantly di erent. Furthermore, when the production batch size increases, total cost increases. Regarding transportation capacity, the results show that, when the budget is su cient, increasing transportation quantity limits will be slightly bene cial for improving environmental protection.

Providing a Multiproduct and Multiperiodic Model for Closed‐Loop Green Supply Chain under Conditions of Uncertainty Based on a Fuzzy Approach for Solving Problem of Business Market

“…Dawei et al [32] presented their second model for removing damaging environmental effects through pollutants. Gang and Cheng [24] argued that hierarchical closedloop green supply chain structures were similar to real-world operations. Yang et al [21] presented a model with two objective functions to reduce the total cost and environmental pollution factors.…”

“…e supply chain network design issue involves strategic decisions that significantly impact the configuration and tactical and operational decisions. Gong et al [24] presented an optimization model with a multiobjective nature having green supply chain criteria and then solved the problem using the NSGAII algorithm. eir results were compared to previous studies, showing the model's suitability.…”

Case Based Reasoning for Green Information Systems Infusion and Assimilation among IT Professionals in University Campuses

“…Global warming and other environmental issues such as resource and energy constraint are gradually be-coming the main concerns of the world and need to be addressed [51]. As a result, IT professionals in university campuses are currently contributing to reduce environmental issues [48].…”

A stochastic-fuzzy multi-objective model for the last-mile delivery problem using drones and ground vehicles, a case study

“…Where: The next constraint (7) ensures that customers can receive service from a facility by a vehicle only if the vehicle is assigned to that facility. Constraint (8) ensures that a drone can visit a customer only if the drone is compatible with that customer's demand.…”

“…UAVs are efficient tools to tackle this problem by reducing delivery time and costs [6]. Gong et al [7] previously considered a transportation mode selection based on costs and carbon emissions to reduce environmental effects. Mohtashami [8] mentioned that transportation fleets are a significant factor leading to an increase in environmental impacts.…”