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Tehnički vjesnik, Vol. 29 No. 5, 2022.

Izvorni znanstveni članak

https://doi.org/10.17559/TV-20211022164333

Multi-Objective Flexible Job Shop Scheduling Using Genetic Algorithms

Attia Boudjemline ; Industrial Engineering Department, College of Engineering University of Ha'il, Saudi Arabia
Imran Ali Chaudhry orcid id orcid.org/0000-0001-6726-0753 ; Industrial Engineering Department, College of Engineering University of Ha'il, Saudi Arabia
Amer Farhan Rafique ; King Abdulaziz University, Jeddah, Saudi Arabia
Isam A-Q Elbadawi ; Industrial Engineering Department, College of Engineering, University of Ha'il, Saudi Arabia
Mohamed Aichouni ; Industrial Engineering Department, College of Engineering, University of Ha'il, Saudi Arabia
Mohamed Boujelbene ; Industrial Engineering Department, College of Engineering, University of Ha'il, Saudi Arabia

Puni tekst: engleski pdf 367 Kb

str. 1706-1713

preuzimanja: 794

citiraj

Sažetak

Flexible Job Shop Scheduling is an important problem in the fields of combinatorial optimization and production management. This research addresses multi-objective flexible job shop scheduling problem with the objective of simultaneous minimization of: (1) makespan, (2) workload of the most loaded machine, and (3) total workload. A general-purpose, domain independent genetic algorithm implemented in a spreadsheet environment is proposed for the flexible job shop. Spreadsheet functions are used to develop the shop model. Performance of the proposed algorithm is compared with heuristic algorithms already reported in the literature. Simulation experiments demonstrated that the proposed methodology can achieve solutions that are comparable to previous approaches in terms of solution quality and computational time. Flexible job shop models presented herein are easily customizable to cater for different objective functions without changing the basic genetic algorithm routine or the spreadsheet model. Experimental analysis demonstrates the robustness, simplicity, and general-purpose nature of the proposed approach.

Ključne riječi

flexible job shop scheduling; genetic algorithms; makespan; multi-objective; scheduling; spreadsheet

Hrčak ID:

281687

URI

https://hrcak.srce.hr/281687

Datum izdavanja:

15.10.2022.

Posjeta: 1.795 *