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整合產品設計與供應鏈管理決策以最小化成本並符合碳排放量限制
Thesis

整合產品設計與供應鏈管理決策以最小化成本並符合碳排放量限制

汪祐德
Masters, National Tsing Hua University
2010

Abstract

產品設計與供應鏈管理協同綠色產品設計動態規劃基因演算法 coordination with product design and supply chain managementgreen product designdynamic programminggenetic algorithm
As the increasingly urgent demand for environmental protection, the researchers from various fields have already invested carbon footprint reduction and related research topics. Many scholars study in the field of product design to make efforts in Design for Environment (DfE), try to use more environmental and energy-efficient materials, designs, and assembly methods to reduce the impact on the environment. However, considering the product materials, designs, and assembly methods without the environmental impact from the transportation and production conditions by production supply chain may cause the product materials, designs, and assembly methods seems environmental, but the production of this design is not required for the supply chain to achieve green environmental protection standards. This paper presents a system architecture that combines the product design and supply chain management. First, designer produces a set of design by computer-aided design system selecting the components suppliers and assembly plant that capable to produce the design from the database system to build the supply chain composition of their component automatically. Designer utilizes Dynamic Programming (DP) to synchronously identify the best supply chain set and the environmental impact on this supply chain which can evaluate the total environmental impact on the product design phase and the supply chain phase. Also find a variety of designs by the Genetic Algorithm (GA) to search for the minimum cost design under the premise of carbon emissions limitations. This study evaluates the carbon emissions from materials, manufacturing, and transport by Life Cycle Assessment (LCA) method. Finally analysis the differences between the products design and supply chain structure under three different carbon emissions limitations according to the real data from the computer chair.

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