Abstract

In this paper a Fuzzy Discrete Time-Cost-Quality Trade-off Problem (FDTCQTP), is presented. All of three main factors of a project are considered in uncertainty condition using fuzzy theory. Time, cost and quality are considered as fuzzy trapezoidal numbers and a novel Genetic Algorithm; Super Genetic Algorithm (SGA) is introduced to solve the problem. Project network paths are calculated via a new algorithm which it can be very useful for complex project networks and in order to comparing the fuzzy numbers, a new Fuzzy Number Ranking (FNR) method is introduced. The proposed algorithm is compared with classic GA by ANOVA, and the results demonstrate its efficiency. An applied example is used to more details.

Highlights

  • According to American national standard institute, project management is: “The application of knowledge, skills, tools and techniques to project activities to meet project requirements” [1]

  • Execution methods and technology types in real world projects are represented by discrete values, for real world applications Discrete Time-Cost Trade-off Problem (DTCTP) is applied

  • This study investigated multi-mode time-cost-quality trade-off problem in uncertainty condition

Read more

Summary

Introduction

According to American national standard institute, project management is: “The application of knowledge, skills, tools and techniques to project activities to meet project requirements” [1]. Decreasing the time leads to increasing resources consuming, and costs. Execution methods and technology types in real world projects are represented by discrete values, for real world applications Discrete Time-Cost Trade-off Problem (DTCTP) is applied [2] The DTCTP is known as an NP-hard problem [3], and no exact solution method can be found to have the required efficiency for solving DTCTP. There are some approaches based on heuristic algorithms for solving DTCTP [4, 5]. Quality is another important factor in executing the project which requires considerable attention. A DTCTP can be generalized to a Discrete Time-Cost-Quality trade-off problem (DTCQTP)

Objectives
Methods
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call