Coke production scheduling problem: A parallel machine scheduling with batch preprocessings and location-dependent processing times

2019 ◽  
Vol 104 ◽  
pp. 37-48 ◽  
Author(s):  
Ming Liu ◽  
Feng Chu ◽  
Junkai He ◽  
Dapeng Yang ◽  
Chengbin Chu
Keyword(s):  
Production Scheduling ◽  
Machine Scheduling ◽  
Parallel Machine Scheduling ◽  
Parallel Machine ◽  
Coke Production ◽  
Scheduling Problem ◽  
Processing Times

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.

Modeling the Parallel Machine Scheduling Problem with Worker- and Position-Dependent Processing Times

2021 ◽  
pp. 351-359
Author(s):  
Jairo R. Montoya-Torres ◽  
Valérie Botta-Genoulaz ◽  
Nick Materzok ◽  
Þorgeir Páll Gíslason ◽  
Sélène Mendiela
Keyword(s):  
Machine Scheduling ◽  
Parallel Machine Scheduling ◽  
Parallel Machine ◽  
Scheduling Problem ◽  
Processing Times ◽  
Parallel Machine Scheduling Problem
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