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Scheduling complex flexible job shop problems
Proceedings 1995 INRIA/IEEE Symposium on Emerging Technologies and Factory Automation. ETFA'95, 2002We are developing for some years scheduling softwares for chemical industry. These softwares (developed on C++) are based on heuristics combined with optimisation methods. Our aim is to design a general methodology to cope with a large class of flexible job shop problems.
H. El Maqrini, J. Teghem
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IEEE Transactions on Evolutionary Computation, 2023
Green flexible job-shop scheduling problem (FJSP) aims to improve profit and reduce energy consumption for modern manufacturing. Meanwhile, FJSP with type-2 fuzzy processing time is proposed to predict the uncertainty in timing constraint for better ...
Rui Li, Wenyin Gong, Chao Lu, Ling Wang
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Green flexible job-shop scheduling problem (FJSP) aims to improve profit and reduce energy consumption for modern manufacturing. Meanwhile, FJSP with type-2 fuzzy processing time is proposed to predict the uncertainty in timing constraint for better ...
Rui Li, Wenyin Gong, Chao Lu, Ling Wang
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Flexible job‐shop scheduling problem by genetic algorithm
Electrical Engineering in Japan, 2009AbstractThe Flexible Job‐shop Scheduling Problem is an expansion of the traditional Job‐shop Scheduling Problem in which an operation can be processed by one or more machines. The purpose of this problem is to look for the smallest makespan. For that purpose, it is necessary to decide the optimal assignment of machines to operations and the order of ...
Kenichi Ida, Kensaku Oka
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IEEE Transactions on Cybernetics, 2023
With the development of the economy, distributed manufacturing has gradually become the mainstream production mode. This work aims to solve the energy-efficient distributed flexible job shop scheduling problem (EDFJSP) while simultaneously minimizing ...
Rui Li +4 more
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With the development of the economy, distributed manufacturing has gradually become the mainstream production mode. This work aims to solve the energy-efficient distributed flexible job shop scheduling problem (EDFJSP) while simultaneously minimizing ...
Rui Li +4 more
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Multiobjective Flexible Job Shop Scheduling Using Memetic Algorithms
IEEE Transactions on Automation Science and Engineering, 2015In this paper, we propose new memetic algorithms (MAs) for the multiobjective flexible job shop scheduling problem (MO-FJSP) with the objectives to minimize the makespan, total workload, and critical workload. The problem is addressed in a Pareto manner, which aims to search for a set of Pareto optimal solutions.
Hua Xu, Yuan Yuan
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IEEE Transactions on Evolutionary Computation, 2023
In many practical manufacturing systems, transportation equipment such as automated guided vehicles (AGVs) is widely adopted to transfer jobs and realize the collaboration of different machines, but is often ignored in current researches. In this article,
Zixiao Pan +4 more
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In many practical manufacturing systems, transportation equipment such as automated guided vehicles (AGVs) is widely adopted to transfer jobs and realize the collaboration of different machines, but is often ignored in current researches. In this article,
Zixiao Pan +4 more
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Review for Flexible Job Shop Scheduling
2020Flexible Job shop Scheduling Problem (FJSP) is an NP-hard combinatorial optimization problem, which has significant applications in the real world. Due to the complexity and significance, lots of attention have been attracted to tackle this problem. In this paper, the existing solution methods for the FJSP in the recent literature are classified into ...
Xinyu Li, Liang Gao
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Hybrid frameworks for flexible job shop scheduling
The International Journal of Advanced Manufacturing Technology, 2020Effective scheduling is essential for manufacturing firms to survive in today’s fiercely competitive marketplace. Improvisation of schedule by simultaneous optimization of the performance measures is imperative for the manufacturing firms to stay ahead of competition and is one of the key responsibilities of shop floor managers.
Puja Bharti, Sushma Jain
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IEEE Transactions on Automation Science and Engineering
Automated Guided Vehicles (AGVs) have found widespread application in discrete manufacturing systems. In flexible job-shop environments, the integrated scheduling of machines and AGVs is a significant research direction to improve the productivity ...
Youjie Yao +6 more
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Automated Guided Vehicles (AGVs) have found widespread application in discrete manufacturing systems. In flexible job-shop environments, the integrated scheduling of machines and AGVs is a significant research direction to improve the productivity ...
Youjie Yao +6 more
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IEEE Transactions on Neural Networks and Learning Systems, 2022
Flexible job shop scheduling problem (FJSP) has attracted research interests as it can significantly improve the energy, cost, and time efficiency of production.
Yu Du +3 more
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Flexible job shop scheduling problem (FJSP) has attracted research interests as it can significantly improve the energy, cost, and time efficiency of production.
Yu Du +3 more
semanticscholar +1 more source