Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Project Portfolio Selection Considering the Fuzzy Chance Constraint of Water Environmental Restoration
The water environment restoration project portfolio (WERP) selection is discussed in this paper. By complying with the analysis of the project’s multidimensional property and operation mode, this paper develops the chance constraint and the management constraint of the WERP from the perspectives of public service and enterprise operation. In addition, the multi-objective mixed integer linear programming model is constructed by combining the expectation method and the fuzzy chance constraint programming method. The results demonstrate that: (1) Our proposed method successfully circumvents the occurrence of local objective optimization within a specific confidence interval, thereby achieving a balance between economic and water environment restoration objectives; (2) including fuzzy chance constraints in our proposed method significantly diminishes the risk of exceeding the WERP capacity, thereby ensuring the effectiveness of water environment restoration by adopting a market-based approach. However, further examination of the impact of various sub-projects in WERP is necessary, along with the integration of novel evolutionary algorithms to enhance the efficiency of our model.
Project Portfolio Selection Considering the Fuzzy Chance Constraint of Water Environmental Restoration
The water environment restoration project portfolio (WERP) selection is discussed in this paper. By complying with the analysis of the project’s multidimensional property and operation mode, this paper develops the chance constraint and the management constraint of the WERP from the perspectives of public service and enterprise operation. In addition, the multi-objective mixed integer linear programming model is constructed by combining the expectation method and the fuzzy chance constraint programming method. The results demonstrate that: (1) Our proposed method successfully circumvents the occurrence of local objective optimization within a specific confidence interval, thereby achieving a balance between economic and water environment restoration objectives; (2) including fuzzy chance constraints in our proposed method significantly diminishes the risk of exceeding the WERP capacity, thereby ensuring the effectiveness of water environment restoration by adopting a market-based approach. However, further examination of the impact of various sub-projects in WERP is necessary, along with the integration of novel evolutionary algorithms to enhance the efficiency of our model.
Project Portfolio Selection Considering the Fuzzy Chance Constraint of Water Environmental Restoration
Kaili Wu (Autor:in) / Jingchun Feng (Autor:in) / Sheng Li (Autor:in) / Ke Zhang (Autor:in) / Daisong Hu (Autor:in)
2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
Metadata by DOAJ is licensed under CC BY-SA 1.0
Uncertain Public R&D Project Portfolio Selection Considering Sectoral Balancing and Project Failure
| DOAJ | 2022
Service Provider Portfolio Selection across the Project Life Cycle Considering Synergy Effect
| DOAJ | 2023
Project Portfolio Selection Considering Total Cost of Ownership in the Automobile Industry
| DOAJ | 2019
Selection of New Projects Considering the Synergistic Relationships in a Project Portfolio
| DOAJ | 2022
Developing a project portfolio selection model for contractor firms considering the risk factor
| BASE | 2012