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Lei Sun, Weimin Shi, Junru Wang, Huimin Mao, Jiajia Tu and Luojun Wang
Production scheduling in a knitting workshop is an important method to improve production efficiency, reduce costs and improve service. In order to achieve a reasonable allocation of parallel machines as well as cooperation between different machines wit...
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Toufik Mzili, Ilyass Mzili, Mohammed Essaid Riffi and Gaurav Dhiman
This paper presents a new hybrid algorithm that combines genetic algorithms (GAs) and the optimizing spotted hyena algorithm (SHOA) to solve the production shop scheduling problem. The proposed GA-SHOA algorithm incorporates genetic operators, such as un...
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Chang-Bae Gil and Jee-Hyong Lee
Manufacturing sites encounter various scheduling problems, which must be dealt with to efficiently manufacture products and reduce costs. With the development of smart factory technology, many elements at manufacturing sites have become unmanned and more...
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Xuelian Pang, Haoran Xue, Ming-Lang Tseng, Ming K. Lim and Kaihua Liu
Prior studies are lacking which address permutation flow shop scheduling problems and hybrid flow shop scheduling problems together to help firms find the optimized scheduling strategy. The permutation flow shop scheduling problem and hybrid flow shop sc...
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Wei Han, Fang Guo and Xichao Su
The scheduling problems in mass production, manufacturing, assembly, synthesis, and transportation, as well as internet services, can partly be attributed to a hybrid flow-shop scheduling problem (HFSP). To solve the problem, a reinforcement learning (RL...
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Eliana Marcela Peña Tibaduiza, Edwin Alberto Garavito Hernández, Luis Eduardo Pérez Figueredo, Eslendis Moratto Chimenty
Pág. 46 - 64
AbstractDownloadsReferencesHow to Cite
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Levente Fazekas, Boldizsár Tüu-Szabó, László T. Kóczy, Olivér Hornyák and Károly Nehéz
Flow-shop scheduling problems are classic examples of multi-resource and multi-operation scheduling problems where the objective is to minimize the makespan. Because of the high complexity and intractability of the problem, apart from some exceptional ca...
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Christoph Laroque, Madlene Leißau, Pedro Copado, Christin Schumacher, Javier Panadero and Angel A. Juan
Based on a real-world application in the semiconductor industry, this article models and discusses a hybrid flow shop problem with time dependencies and priority constraints. The analyzed problem considers a production where a large number of heterogeneo...
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Marcelo Seido Nagano, João Carlos Soriano Sampaio Januário
Pág. 271 - 278
This paper deals with no-idle flow shop scheduling problem with the objective of minimizing makespan. A new hybrid metaheuristic is proposed for the scheduling problem solution. The proposed method is compared with the best method reported in the literat...
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Christin Schumacher and Peter Buchholz
In modern production systems, scheduling problems have to be solved in consideration of frequently changing demands and varying production parameters. This paper presents a approach combining forecasting and classification techniques to predict uncertain...
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