Application of fuzzy non-linear programming model on cost effectiveness for multi-project scheduling and carbon emissions
碩士 === 國立屏東科技大學 === 工業管理系所 === 106 === Carbon emission regulation policies have emerged as mechanisms to control firms’ carbon emissions. To meet regulatory requirements, firms can make changes in their production planning decisions. The purpose of this study is to formulate a fuzzy multi-objective...
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| Format: | Others |
| Language: | zh-TW |
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2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/3hpzp8 |
| Summary: | 碩士 === 國立屏東科技大學 === 工業管理系所 === 106 === Carbon emission regulation policies have emerged as mechanisms to control firms’ carbon emissions. To meet regulatory requirements, firms can make changes in their production planning decisions. The purpose of this study is to formulate a fuzzy multi-objective non-linear programming (FMONLP) model to analysis the cost-effectiveness for multi-project scheduling and carbon emissions. The model is capable of quantitatively solving multiple problems including project net present value increase, carbon emissions cost saving, and project slack time increase to obtain a balanced multi-project scheduling scheme using a multi-objective non-linear programming technique. An optimal satisfactory level is deployed to demonstrate the trade-offs among fuzzy multi-objectives for the use of project managers. Numerical examples are presented, and results are discussed. The results showed that the developed model could be found useful by mangers who wish to jointly maximize the project net present value and total slack time.
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