模糊多目標非線性規劃模式於多專案排程與碳排放成本效能之應用

Application of Fuzzy Nonlinear Programming Model on Cost-effectiveness for Multi-project Scheduling and Carbon Emissions

蔡登茂(Deng-Maw Tsai) ； 李偉齊(Wei-Chi Li)

《臺灣企業績效學刊》 11卷1期 (2017/12) Pp. 71-97

https://doi.org/10.6697/TBPJ.201712_11(1).0004

摘要

碳排放法規已成為當今控制企業碳排放量的重要機制。為符合法規的要求企業必須在生產規劃決策上進行改變。為因應此種趨勢與潮流，本研究將碳排放成本加入於有限資源多專案排程的淨現值中進行探討，並以最大化總專案淨現值與最大化總專案自由寬裕時間此兩項業界常用之績效指標作為研究主題，建構考量碳排放成本之有限資源多專案排程混合整數非線性規劃模式，並藉由模糊集合理論之導入，將混合整數非線性規劃問題轉換成模糊多目標非線性規劃模式，並利用決策滿意度函數，提供專案經理人在進行多目標專案排程決策之重要參考。本研究除提出模糊多目標非線性規劃模式外，也將舉例進行實務案例之應用說明，並針對此案例中重要之決策變數對決策滿意度函數之影響進行敏感度分析，以提供專案經理人做為決策輔助之重要參考。

關鍵字

碳排放成本 ； 有限資源 ； 多專案排程 ； 模糊多目標非線性規劃

並列摘要

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.

並列關鍵字

Carbon Emission Costs ； Resource-constrained ； Multi-objective Project Scheduling ； Fuzzy Multi-objective Nonlinear Programming

參考文獻

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