A linguistic approach to non-identical parallel processor scheduling with fuzzy processing times

2017 ◽  
Vol 55 ◽  
pp. 63-71 ◽  
Author(s):  
Faruk Geyik ◽  
Kerem Elibal
Keyword(s):  
Parallel Processor ◽  
Processor Scheduling ◽  
Processing Times ◽  
Fuzzy Processing Times ◽  
Linguistic Approach

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.

Parallel Processor Scheduling with Limited Number of Preemptions

2003 ◽  
Vol 32 (3) ◽  
pp. 671-680 ◽  
Author(s):  
Oliver Braun ◽  
Günter Schmidt
Keyword(s):  
Parallel Processor ◽  
Processor Scheduling
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