A multi-level optimization approach for energy-efficient flexible flow shop scheduling

2016 ◽  
Vol 137 ◽  
pp. 1543-1552 ◽  
Author(s):  
Jihong Yan ◽  
Lin Li ◽  
Fu Zhao ◽  
Fenyang Zhang ◽  
Qingliang Zhao
Keyword(s):  
Energy Efficient ◽  
Flow Shop ◽  
Flow Shop Scheduling ◽  
Optimization Approach ◽  
Flexible Flow Shop ◽  
Shop Scheduling ◽  
Multi Level ◽  
Flexible Flow Shop Scheduling

scholarly journals A bi-objective simulation-optimization approach for solving a no-wait two stages flexible flow shop scheduling problem with rework ability

2017 ◽  
Vol 10 (12) ◽  
pp. 197
Author(s):  
Mohammad Rahmanidoust
Keyword(s):  
Flow Shop ◽  
Flow Shop Scheduling ◽  
Evolutionary Strategy ◽  
Optimization Approach ◽  
Flexible Flow Shop ◽  
Shop Scheduling ◽  
Multi Objective ◽  
No Wait ◽  
Two Stages ◽  
Flexible Flow Shop Scheduling

The paper suggests a new rule; called no-wait process. The rule has two stages, and is a flexible flow shop scheduling. The process is the subject to maximize tardiness while minimizing the makespan. This hybrid flow shop problem is known to be NP-hard. Therefore, we come to first, Non-dominated Sorting Genetic Algorithm (NSGA-II), then, Multi-Objective Imperialist Competitive Algorithm (MOICA) and finally, Pareto Archive Evolutionary Strategy (PAES) as three multi-objective Pareto based metaheuristic optimization methods. They are developed to solve the problem to approximately figure out optimal Pareto front. The method is investigated in several problems that differed in size and terms of relative percentage deviation of performance metrics. The conclusion, developed by this method is the most efficient and practicable algorithm at the end.

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.

Sign in / Sign up

Export Citation Format

Share Document