GREEN SUPPLY CHAIN DESIGN USING MULTI-OBJECTIVE OPTIMIZATION
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...
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| Main Authors: | , |
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| 格式: | Theses and Dissertations NonPeerReviewed |
| 出版: |
[Yogyakarta] : Universitas Gadjah Mada
2013
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| 主題: | |
| 在線閱讀: | 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 |
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| 機構: | Universitas Gadjah Mada |
| 總結: | 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. |
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