GREEN SUPPLY CHAIN DESIGN USING MULTI-OBJECTIVE OPTIMIZATION

• المؤلفون الرئيسيون: , KARTINA PUJI NURJANNI, , Fauzun, S.T., M.T., Ph.D.
• التنسيق: Theses and Dissertations NonPeerReviewed
• منشور في: [Yogyakarta] : Universitas Gadjah Mada 2013
• الموضوعات: ETD
• الوصول للمادة أونلاين: https://repository.ugm.ac.id/123397/; http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=63508
• المؤسسة: Universitas Gadjah Mada

Consideration of environmental and economic aspects in supply chain design is required to reduce negative impacts on the environment caused by the increasing levels of industrialization. In this dissertation, a green supply chain design approach has been proposed to deal with the trade-offs between environmental and financial issues. The proposed approach incorporates a closed loop network to accommodate the reprocessing paradigm of disposal products. A multi-objective mixed-integer linear model for a single product is presented to minimize overall cost and carbon dioxide emission when setting the supply chain network design and the amount of products flowing between echelons in green supply chain. A mathematical model is developed by assuming deterministic and satisfied demand. Optimization process of the mathematical model is performed using three scalarization approaches, namely weighted sum method, weighted Tchebycheff and augmented weighted Tchebycheff. Differences in the optimization results are analyzed to identify the advantages and drawbacks of each approach when solving a case study. A detailed discussion of the most appropriate method related to computational outcome is provided hereafter. Results from the tests carried out for the case allowed to identify the capability of the model to deal with the trade-offs between the costs and environmental issues as well as to identify its main limitation when addressing real size problems.