Time-cost trade-off problem under uncertainty incorporating multi-objective genetic algorithm and fuzzy sets theory

C. H. Ding, S. Fujimura, X. Wei, W. Wei

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

The time-cost trade-off problem (TCTP) is an important branch in the project scheduling problem. However, the duration and cost of each activity could change stochastically as a result of uncertain factors. To meet the needs of real projects, an improved approach based on trapezoid fuzzy numbers is applied to estimate the uncertainty of time and cost. And then α-cut method is applied to decide the risk level. Furthermore, improved crossover and mutation methods for multi-objective genetic algorithm (MOGA) are used to make a large-scale computation possible. The efficiency of the proposed approach is verified by comparison with previous researches. In addition, economic analysis skill of finance cost is integrated into the new model to provide greater flexibility to managers when making decisions. Finally, time-cost tables under different risk levels for case examples are given and the advantages are investigated based on computation results.

本文言語English
ホスト出版物のタイトルProceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010
ページ290-294
ページ数5
DOI
出版ステータスPublished - 2010 12 31
イベント17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010 - Xiamen, China
継続期間: 2010 10 292010 10 31

出版物シリーズ

名前Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010

Conference

Conference17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010
国/地域China
CityXiamen
Period10/10/2910/10/31

ASJC Scopus subject areas

  • 産業および生産工学

フィンガープリント

「Time-cost trade-off problem under uncertainty incorporating multi-objective genetic algorithm and fuzzy sets theory」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル