scholarly journals Robot move sequence determining and multiple part-type scheduling in hybrid flexible flow shop robotic cells

2016 ◽  
Vol 100 ◽  
pp. 72-87 ◽  
Author(s):  
G. Didem Batur ◽  
Serpil Erol ◽  
Oya Ekin Karasan
Keyword(s):  
Flow Shop ◽  
Part Type ◽  
Flexible Flow Shop ◽  
Robotic Cells ◽  
Hybrid Flexible Flow Shop

scholarly journals Applying TOC Heuristics to Job Scheduling in a Hybrid Flexible Flow Shop

DYNA ◽  
2014 ◽  
Vol 81 (186) ◽  
pp. 113 ◽  
Author(s):  
Jaime Antero Arango-Marin ◽  
Jaime Alberto Giraldo-García ◽  
Omar Danilo Castrillón-Gómez
Keyword(s):  
Job Scheduling ◽  
Flow Shop ◽  
Flexible Flow Shop ◽  
Hybrid Flexible Flow Shop

An efficiency improvement of flexible flow shop scheduling in automotive part company

2020 ◽  
pp. 1-14
Author(s):  
Waraporn Fangrit ◽  
Hwa Jen Yap ◽  
Mukhtar Fatihu Hamza ◽  
Siow-Wee Chang ◽  
Keem Siah Yap ◽  
...  
Keyword(s):  
Tabu Search ◽  
Flow Shop ◽  
Simulation Software ◽  
Flow Shop Scheduling ◽  
Current Status ◽  
Flexible Flow Shop ◽  
Shop Scheduling ◽  
Scheduling Method ◽  
Automotive Part ◽  
Flexible Flow Shop Scheduling

Flexible flow shop is becoming more interested and applied in industries due to its impact from higher workloads. Flexible flow shop scheduling problem is focused to minimize the makespan. A metaheuristic model based on Hybrid Tabu Search is developed to overcome this problem. Firstly, Hybrid Tabu Search is modelled based on the factory data. The Earliest Due Date rule is used as the scheduling method for the current status. FlexSim simulation software is used to evaluate the Hybrid Tabu Search model. The outcome is validated with two different basic heuristic solutions; Campbell, Dudek and Smith’s and Gupta’s heuristics. It is found that the proposed model can improve the job sequence based on makespan criteria.

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