A fuzzy pert approach to evaluate plant construction project scheduling risk under uncertain resources capacity

A plant construction project always involves lots of activities. Precise information about the activities duration is unfortunately unavailable due to the uncertain resources capacity. The fuzzy program evaluation and review technique (PERT) has been widely applied to solve the fuzzy project scheduling problem. This paper presents an extended fuzzy PERT approach with four major improvement aspects to support the construction project scheduling management: 1) Evaluate operation fuzzy times based on available working volumes, resources quantity and fuzzy capacity of resources, 2) Adopting a maximal ilevelcut method to compare the fuzzy precedent activities times to determine the reasonable earliest starting times of each activity, 3) Using fuzzy algebra method instead of fuzzy subtraction method to compute the fuzzy latest starting times and 4) Developing a project scheduling risk index (PSRI) to assist the decision maker to evaluate the project scheduling risk. Simulations experiments are conducted and demonstrated satisfactory results.

[1]  K. Paul Yoon,et al.  A probabilistic approach to rank complex fuzzy numbers , 1996, Fuzzy Sets Syst..

[2]  Ching-Hsue Cheng,et al.  Application of fuzzy distributions on project management , 1995 .

[3]  Janet K. Yates,et al.  Construction Total Project Management Planning Issues , 2002 .

[4]  Pawel Zielinski,et al.  Critical path analysis in the network with fuzzy activity times , 2001, Fuzzy Sets Syst..

[5]  Juite Wang A fuzzy set approach to activity scheduling for product development , 1999, J. Oper. Res. Soc..

[6]  Anatoliy I. Slyeptsov,et al.  Fuzzy temporal characteristics of operations for project management on the network models basis , 2003, Eur. J. Oper. Res..

[7]  Joseph H. M. Tah,et al.  A fuzzy approach to constuction project risk assessment and analysis: construction project risk management system , 2001 .

[8]  Didier Dubois,et al.  On latest starting times and floats in activity networks with ill-known durations , 2003, Eur. J. Oper. Res..

[9]  Didier Dubois,et al.  Fuzzy scheduling: Modelling flexible constraints vs. coping with incomplete knowledge , 2003, Eur. J. Oper. Res..

[10]  Juite Wang,et al.  A fuzzy project scheduling approach to minimize schedule risk for product development , 2002, Fuzzy Sets Syst..

[11]  Soheil Sadi-Nezhad,et al.  Preference ratio-based maximum operator approximation and its application in fuzzy flow shop scheduling , 2008, Appl. Soft Comput..

[12]  Juite Wang,et al.  A fuzzy robust scheduling approach for product development projects , 2004, Eur. J. Oper. Res..

[13]  F. Lootsma Stochastic and Fuzzy Pert , 1989 .