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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/72585

    Title: 在SAP-APO架構下發展一個考量碳足跡模式之供應鏈計劃方法
    Authors: 林凱強;Lin, Kai-Qiang
    Contributors: 企業管理學系
    Keywords: 綠色供應鏈;SAP-APO;啟發式演算法;Green Supply Chain;SAP-APO;Heuristic algorithms
    Date: 2016-12-08
    Issue Date: 2017-01-23 16:14:56 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 由於環境破壞日漸的嚴重,環保議題屢屢被提出討論,也因此企業開始將環境保護的項目融入至供應鏈管理活動中,發展出綠色供應鏈,本研究考量在跨國多廠區、多配銷中心下,其中各廠區可能有不同生產上的限制,以及不同的生產碳排放量,並在顧客變動的需求下,針對產品上的需求、工廠上的能力與產能限制、不同生產工廠與使用不同運輸方式上的碳排放量差異,並使用數學模型規劃,來解決跨國多廠區、多配銷中心與多顧客間的生產與配銷計劃,其中兩點間可有多種運輸方式,目標在達到碳排放量的極小化。
    ;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.
    Appears in Collections:[企業管理研究所] 博碩士論文

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