Study On Model And Algorithm Of Low Carbon Multi-source Combined Location Routing And Inventory Problem

With the intensify of global warmming, the increasing of carbon dioxide emissions caused the people’s attention to the environment. Logistics and supply chain operation as one of the main emissions source of the air pollution and greenhouse gas were seen as the main object of carbon emission reduction by many governments and large enterprises. The direction of supply chain optimization translated from a single economic cost optimum into both economic benefits and environmental effect optimum. Hence, when we pursue the supply chain efficiency, low costs, we should also explore strategies to reduce carbon emissions on every stage of a supply chain, build low carbon supply chain network model in order to optimize both the economic benefits and environment effect of the entire supply chain, which has the important theoretical and practical significance.This article will study on the supply chain optimal problems considering carbon emissions, proposeing the model of low carbon multi-source combined location-routing-inventory problems (CLRIP), and pushing the whole supply chain to the environment-friendly direction. In detail, the main tasks are as follows:(1) Sum up the low carbon supply chain and CLRIP related literature research, analyse systematically the research situation of the low carbon logistics operation, low carbon supply chain optimization and modeling and CLRIP model construction and optimization; analyse the shortages of existing researches, indicate the significance of low carbon multi-source CLRIP model.(2) Establish a low carbon and singlesource CLRIP model for the small-scale supply chain network. This research want to transform single economic factor research into ones considering double factors of economy and environment, and then construct a network model of low carbon supply chain, design appropriate heuristic approach to solve this model.(3) Establish low carbon mutil-source CLRIP model for multi-sources, large-scale and complext supply chain network. Based on low carbon chain management theory and integrated logistic theory, this article will develop from the simple singlesource model to a more complex low carbon multi-source CLRIP model research, and considering the complexity of solving the model, propose the combined optimal algorithm of Particle Swarm Optimization and Bacterial Foraging to solve this model.(4) Considering a food group affiliated sales logistics company as the background, verify the effectiveness of the model. Providing enterprises with low carbon decisions by the low carbon multi-source CLIRIP model and verify the effectiveness of the model and algorithm.Low carbon multi-source CLRIP model proposed by this article is a beneficial supplement to the existing literature, and makes up for the low carbon supply chain and logistics in the integrated optimization; at the same time, the low carbon model established in the enterprise real operation can provide valuable low carbon strategy for the decision makers of enterprise.