A Fuzzy Discrete Event Simulation Framework for Construction Applications: Improving the Simulation Time Advancement

Author:

Sadeghi Naimeh1,Fayek Aminah Robinson2,Gerami Seresht Nima3

Affiliation:

1. Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 7-203 Donadeo Innovation Centre for Engineering, 9211, 116 St. NW, Edmonton, AB, Canada T6G 1H9.

2. NSERC Industrial Research Chair in Strategic Construction Modeling and Delivery, Ledcor Professor in Construction Engineering, and Professor, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 7-203 Donadeo Innovation Centre for Engineering, 9211, 116 St. NW, Edmonton, AB, Canada T6G 1H9 (corresponding author).

3. Ph.D. Student, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 7-203 Donadeo Innovation Centre for Engineering, 9211, 116 St. NW, Edmonton, AB, Canada T6G 1H9.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Reference45 articles.

1. Subjective and interactive duration estimation

2. Simulation Model to Forecast Project Completion Time

3. Integrating 3D visualization and simulation for tower crane operations on construction sites

4. Alvanchi A. Nguyen A. and Abourizk S. M. (2012). “Structural steel fabrication special purpose simulation.” Construction Research Congress 2012: Construction Challenges in a Flat World ASCE Reston VA 1391–1399.

5. Anglani A. Grieco A. Nucci F. Semeraro Q. and Tolio T. (2000). “A new algorithm to rank temporal fuzzy sets in fuzzy discrete event simulation.” Proc. Fuzzy Syst. Conf. IEEE San Antonio 923–928.

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