Modelling and Optimization of Integrated Distributed Flow Shop Scheduling and Distribution Problems with Time Windows

2021 ◽  
pp. 115827
Author(s):  
Yushuang Hou ◽  
Yaping Fu ◽  
Kaizhou Gao ◽  
Hui Zhang ◽  
Ali Sadollah
Keyword(s):  
Flow Shop ◽  
Time Windows ◽  
Flow Shop Scheduling ◽  
Shop Scheduling ◽  
Modelling And Optimization ◽  
Distribution Problems

scholarly journals Hybrid Genetic Algorithms for Solving Reentrant Flow-Shop Scheduling with Time Windows

2013 ◽  
Vol 12 (4) ◽  
pp. 306-316 ◽  
Author(s):  
Chettha Chamnanlor ◽  
Kanchana Sethanan ◽  
Chen-Fu Chien ◽  
Mitsuo Gen
Keyword(s):  
Genetic Algorithms ◽  
Flow Shop ◽  
Time Windows ◽  
Flow Shop Scheduling ◽  
Shop Scheduling ◽  
Hybrid Genetic Algorithms

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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