scholarly journals Optimization for energy-efficient flexible flow shop scheduling under time of use electricity tariffs

Procedia CIRP ◽  
2019 ◽  
Vol 80 ◽  
pp. 251-256 ◽  
Author(s):  
Mingyang Zhang ◽  
Jihong Yan ◽  
Yanling Zhang ◽  
Shenyi Yan
Keyword(s):  
Energy Efficient ◽  
Flow Shop ◽  
Flow Shop Scheduling ◽  
Flexible Flow Shop ◽  
Shop Scheduling ◽  
Flexible Flow Shop Scheduling

Energy-efficient flexible flow shop scheduling with worker flexibility

2020 ◽  
Vol 141 ◽  
pp. 112902 ◽  
Author(s):  
Guiliang Gong ◽  
Raymond Chiong ◽  
Qianwang Deng ◽  
Wenwu Han ◽  
Like Zhang ◽  
...  
Keyword(s):  
Energy Efficient ◽  
Flow Shop ◽  
Flow Shop Scheduling ◽  
Flexible Flow Shop ◽  
Shop Scheduling ◽  
Worker Flexibility ◽  
Flexible Flow Shop Scheduling

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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