| dc.description.abstract | Environmental issues are often discussed because of the increasing environmental damage. So companies began to join the environmental protection′s work into supply chain management of activities, and develop green supply chain. In this study, consider multi-plant in the multinational, multi-distribution center, which the plant may have different production constraints, as well as different production of carbon emissions. In variable customer needs, focus on the product require, plant capacity and capacity constraints, differences in production plant and transportation and carbon emissions. Use mathematical model planning, to solve the production and distribution plans of multi-plant, multi-distribution centers and multi-customer. Between the two points can have a variety of modes of transport, to achieve the goal of minimizing carbon emissions.
In the solution section of the model, this study presents a heuristic algorithm for SAP-APO, which is a supply chain planning system, and aims at solving the problem of minimizing carbon emissions. According to the steps of operation research, the first problem definition, model establishment and then calculate the total carbon emissions under the given data. Finally, using the same data input to the optimization software-Lingo compared with the heuristic algorithm to prove that the heuristic algorithm for the minimum carbon emissions feasibility. After the comparison, it is known that, because the optimization software tries all the combinations so can find the better solution than the present research method. Therefore, we will get different production planning methods and distribution planning methods. But the comparison shows that the total carbon emissions gap is only 2%, is still acceptable range. And can save several times the calculation of the combination, so the calculation method can save the calculation of the number of effective way to reduce carbon emissions.
In future research, this study focuses on the minimization of carbon emissions, ignoring the traditional cost of the supply chain, so the future can be added to carbon emissions trading and consider the trade-off between cost and carbon emissions. | en_US |