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Paper Information

Journal:   JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)   SUMMER 2014 , Volume 8 , Number 2 (15); Page(s) 15 To 25.
 
Paper: 

A BI-OBJECTIVE PRE-EMPTION MULTI-MODE RESOURCE CONSTRAINED PROJECT SCHEDULING PROBLEM WITH DUE DATES IN THE ACTIVITIES

 
 
Author(s):  HOSSEINI ZAHRA SADAT*, HASSAN POUR JAVAD, ROGHANIAN EMAD
 
* DEPARTMENT OF INDUSTRIAL ENGINEERING, K.N. TOOSI UNIVERSITY OF TECHNOLOGY, TEHRAN, IRAN
 
Abstract: 

In this paper, a novel mathematical model for a preemption multi-mode multi-objective resource-constrained project scheduling problem with distinct due dates and positive and negative cash flows is presented. Although optimization of bi-objective problems with due dates is an essential feature of real projects, little effort has been made in studying the P-MMRCPSP while due dates are included in the activities. This paper tries to bridge this gap by studying tardiness MMRCPSP, in which the objective is to minimize total weighted tardiness and to maximize the net present value (NPV). In order to solve the given problem, we introduced a Non-dominated Ranking Genetic Algorithm (NRGA) and Non-Dominated Sort Genetic Algorithm (NSGA-II). Since the effectiveness of most meta-heuristic algorithms significantly depends on choosing the proper parameters. A Taguchi experimental design method was applied to set and estimate the proper values of GAs parameters for improving their performances. To prove the efficiency of our proposed meta-heuristic algorithms, a number of test problems taken from the project scheduling problem library (PSPLIB) were solved. The computational results show that the proposed NSGA-II outperforms the NRGA.

 
Keyword(s): MULTI-OBJECTIVE PROJECT SCHEDULING, RESOURCE CONSTRAINT, PREEMPTION, NET PRESENT VALUE, META-HEURISTIC ALGORITHM
 
References: 
 
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