A fuzzy mixed-integer goal programming model for a parallel machine scheduling problem

Authors:
R. Tavakkoli-Moghaddam;A. H. Gharehgozli;M. Rabbani;N. Zaerpour
Affiliations:
Department of Industrial Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran;Department of Industrial Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran;Department of Industrial Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran;Department of Industrial Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran
Venue:
FS'07 Proceedings of the 8th Conference on 8th WSEAS International Conference on Fuzzy Systems - Volume 8
Year:
2007

Citing 3
Cited 0

Scheduling Algorithms

Scheduling Algorithms
Solving Parallel Machine Scheduling Problems by Column Generation

INFORMS Journal on Computing
Parallel machine scheduling models with fuzzy processing times

Information Sciences—Informatics and Computer Science: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a new mixed-integer goal programming (MIGP) model for a parallel machine scheduling problem with sequence-dependent setup times and release dates under the hypothesis of fuzzy processing time's knowledge. Two objectives are considered in the model to minimize the total weighted flow time and the total weighted tardiness simultaneously. At the end, the effectiveness of the proposed model is demonstrated through some test problems.