Multi-objective parallel machine scheduling problem with job deterioration and learning effect under fuzzy environment

2015 ◽  
Vol 85 ◽  
pp. 206-215 ◽  
Author(s):  
Mohammad Rostami ◽  
Amir Ebrahimzadeh Pilerood ◽  
Mohammad Mahdavi Mazdeh
Keyword(s):  
Learning Effect ◽  
Machine Scheduling ◽  
Parallel Machine Scheduling ◽  
Parallel Machine ◽  
Scheduling Problem ◽  
Multi Objective ◽  
Fuzzy Environment ◽  
Parallel Machine Scheduling Problem ◽  
Job Deterioration

Fuzzy Parallel Machine Scheduling Problem Under Fuzzy Job Deterioration and Learning Effects With Fuzzy Processing Times

2019 ◽  
pp. 49-67 ◽  
Author(s):  
Oğuzhan Ahmet Arık ◽  
Mehmet Duran Toksarı
Keyword(s):  
Linear Programming ◽  
Machine Scheduling ◽  
Parallel Machine Scheduling ◽  
Parallel Machine ◽  
Scheduling Problem ◽  
Processing Times ◽  
Minlp Model ◽  
Parallel Machine Scheduling Problem ◽  
Fuzzy Processing Times ◽  
Job Deterioration

This chapter presents a mixed integer non-linear programming (MINLP) model for a fuzzy parallel machine scheduling problem under fuzzy job deterioration and learning effects with fuzzy processing times in order to minimize fuzzy makespan. The uncertainty of parameters such as learning/deterioration effects and processing times in a scheduling problem makes the solution of the problem uncertain. Fuzzy sets can be used to encode uncertainty in parameters. In this chapter, possibilistic distributions of fuzzy parameters and possibilistic linear programming approaches are used in order to create a solution method for MINLP model of fuzzy parallel machine scheduling problem.

An Optimization Approach to Solve a Multi-Objective Unrelated Parallel Machine Scheduling Problem

2014 ◽  
Vol 564 ◽  
pp. 585-589 ◽  
Author(s):  
S. Sadeghi ◽  
Shahram Ariafar ◽  
M. Ghanbari ◽  
N. Ismail
Keyword(s):  
Heuristic Algorithm ◽  
Machine Scheduling ◽  
Parallel Machine Scheduling ◽  
Parallel Machine ◽  
Scheduling Problem ◽  
Unrelated Parallel Machine ◽  
Solution Approach ◽  
Multi Objective ◽  
Unrelated Parallel Machine Scheduling ◽  
Parallel Machine Scheduling Problem

In this study, a multi-objective optimization method for an unrelated parallel machine scheduling problem was addressed. The model, simultaneously takes into account the minimization of makespan and machine utilization cost. Then, because of the complexity of the problem, a heuristic algorithm will be developed to solve the mathematical model. To show the validity of the model, and also solution approach, a case will be randomly generated, and solved by the heuristic algorithm and also Lingo optimization software. The results show the validity of the model and also solution approach.

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