Decision support model for economical material carbon recovery and reduction by connecting supplier and disassembly part selections

抄録

In the Internet of Things (IoT) era, manufacturers collect and share data to provide products that are more functional and less expensive. This embedded manufacturers to construct the global supply chain comprising suppliers, factories and recyclers to assemble products at a lower cost. On the other hand, global warming has become a serious environmental issue, and CO₂ emissions on the global supply chain should be visualized and reduced by life cycle assessment. However, CO₂ emissions vary for each country because of disparities in the energy mix. Therefore, manufacturers need to select appropriate suppliers for specific components, especially to ensure a lower procurement cost of parts and material-based GHG (GreenHouse Gas) emissions. Additionally, the economic model in the world shifts to circular economy which includes recycling the products economically because of the regenerative use for materials. If the parts inside the end-of-life (EOL) products are recycled, CO₂ emissions in the procurement stage can be recovered with recycling cost. Therefore, recyclers need a disassembly part selection that selects recycling or disposal for each part in order to recover CO₂ emission and reduce recycling cost in the EOL stage. Thus, certain product data, such as GreenHouse Gas (GHG) emissions and costs, needs to be shared with not only suppliers/factories but also recyclers by IoT technology on the global supply chain for connecting supplier and disassembly part selections. This study proposes a decision support model for economical carbon recovery by connecting supplier and disassembly part selections on procurement and EOL stages. First, a bill of materials (BOM) is prepared using an Asian supplier selection with the 3D-CAD model and Life Cycle Inventory (LCI) database. Second, disassembled parts of the EOL assembly products from the BOM data are selected for either recycling or disposal using 0-1 integer programming with ε constraint method. Finally, the results of the disassembly part selection, in terms of CO₂ emission reduction and costs are discussed.