On Production and Green Transportation Coordination in a Sustainable Global Supply Chain

Abstract

This paper addresses a coordination problem of production and green transportation and the effects of production and transportation coordination on supply chain sustainability in a global supply chain environment with the consideration of important realistic characteristics, including parallel machines, different order processing complexities, fixed delivery departure times, green transportation and multiple transportation modes. We formulate the measurements for carbon emissions of different transportation modes, including air, sea and land transportation. A hybrid genetic algorithm-based optimization approach is developed to handle this problem, in which a hybrid genetic algorithm and heuristic procedures are combined. The effectiveness of the proposed approach is validated by means of various problem instances. We observe that the coordination of production and green transportation has a large effect on the overall supply chain sustainability, which can reduce the total supply chain cost by 9.60% to 21.90%.

Main Dimensions in the Building of the Circular Supply Chain: A Literature Review

“…Management of the total cost in the supply chain must consider aspects such as transport costs, penalties for delays, costs for emissions, etc. Many of these costs not only have an impact on the profit and loss account, but also affect the sustainability of the supply process [6,7]. In fact, to facilitate processes within supply chains, reducing associated delays and improving the sustainability of supply chain operations, many distribution companies began to apply new systems and new techniques, as the dual-channel supply chains in which the manufacturer uses both vertical integration online and an offline intermediary [7], or the cross-docking technique that provides the fast flow of products from inbound trucks to assigned outbound trucks [1,3].…”

Multi-Objective Sustainable Truck Scheduling in a Rail–Road Physical Internet Cross-Docking Hub Considering Energy Consumption

“…In this context, Demartini et al [48] analyzed the sustainability in soft drink supply chains to determine the sustainable best practices and the key performance indicators that are the most related to the sustainability issues. Guo et al [49] proposed a hybrid genetic algorithm approach to examine how the supply chain sustainability can be affected by the coordination between the production and transportation by considering several features such as departure times and transportation modes. The results showed that the coordination between the production and green transportation has an important impact on the global supply chain sustainability.…”

Optimal Locating of Electric Vehicle Charging Stations by Application of Genetic Algorithm

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