No-wait flexible flowshop with uniform parallel machines and sequence-dependent setup time: a hybrid meta-heuristic approach

2013 ◽  
Vol 26 (4) ◽  
pp. 731-744 ◽  
Author(s):  
Pezhman Ramezani ◽  
Meysam Rabiee ◽  
Fariborz Jolai
Keyword(s):  
Parallel Machines ◽  
Setup Time ◽  
Heuristic Approach ◽  
Flexible Flowshop ◽  
Sequence Dependent ◽  
Sequence Dependent Setup Time ◽  
Sequence Dependent Setup ◽  
No Wait

scholarly journals Mathematical Modeling and Discrete Firefly Algorithm to Optimize Scheduling Problem with Release Date, Sequence-Dependent Setup Time, and Periodic Maintenance

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Mustafa A. Qamhan ◽  
Ammar A. Qamhan ◽  
Ibrahim M. Al-Harkan ◽  
Yousef A. Alotaibi
Keyword(s):  
Firefly Algorithm ◽  
Programming Model ◽  
Setup Time ◽  
Mixed Integer ◽  
Release Date ◽  
Sequence Dependent ◽  
Sequence Dependent Setup Time ◽  
Periodic Maintenance ◽  
Discrete Firefly Algorithm ◽  
Sequence Dependent Setup

An evolutionary discrete firefly algorithm (EDFA) is presented herein to solve a real-world manufacturing system problem of scheduling a set of jobs on a single machine subject to nonzero release date, sequence-dependent setup time, and periodic maintenance with the objective of minimizing the maximum completion time “makespan.” To evaluate the performance of the proposed EDFA, a new mixed-integer linear programming model is also proposed for small-sized instances. Furthermore, the parameters of the EDFA are regulated using full factorial analysis. Finally, numerical experiments are performed to demonstrate the efficiency and capability of the EDFA in solving the abovementioned problem.

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