Results 31 to 40 of about 62,078 (294)
A FJSSP Method Based on Dynamic Multi-Objective Squirrel Search Algorithm
International Journal of Antennas and Propagation, 2021 This paper comprehensively analyzes the characteristics of flexible job shop scheduling problem (FJSSP), takes the dynamic factors in the actual scheduling process such as the arrival and departure of jobs, the breakdown and recovery of machines into ...
Yanjiao Wang, Jieru Han
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job shop scheduling problem:literature review
Tikrit Journal of Pure Science, 2020 As an extension of the Job Shop Scheduling (JSP), Flexible job-shop Scheduling Problem (FJSP), can be defined as one of the most significant problems in up-to-date manufacturing systems, recently a lot of studies have been conducted to address FJSP ...
Marrwa Abd-AlKareem Alabajee +2 more
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Solving no-wait two-stage flexible flow shop scheduling problem with unrelated parallel machines and rework time by the adjusted discrete Multi Objective Invasive Weed Optimization and fuzzy dominance approach [PDF]
, 2017 Purpose: Adjusted discrete Multi-Objective Invasive Weed Optimization (DMOIWO) algorithm, which uses fuzzy dominant approach for ordering, has been proposed to solve No-wait two-stage flexible flow shop scheduling problem.
Gerami, Ali +2 more
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Metaheuristic algorithms for the flexible job-shop scheduling problem [PDF]
IMK-14 - Istrazivanje i razvoj, 2020 The problem with flexible job planning (FJSP) is a modification o f the classic job booking problem. This paper deals with the problem o f flexible job deployment and processing o f operations on one machine from a set o f alternative machines. The problem o f deploying flexible jobs in real time is one o f a group o f difficult NP problems (Non ...
Aleksandar Stanković +4 more
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An effective hybrid algorithm for multi-objective flexible job-shop scheduling problem
Advances in Mechanical Engineering, 2018 Genetic algorithm is one of primary algorithms extensively used to address the multi-objective flexible job-shop scheduling problem. However, genetic algorithm converges at a relatively slow speed.
Xiabao Huang, Zailin Guan, Lixi Yang
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An extended flexible job shop scheduling problem with parallel operations [PDF]
ACM SIGAPP Applied Computing Review, 2018 Traditional planning and scheduling techniques still hold important roles in modern smart scheduling systems. Realistic features present in modern manufacturing systems need to be incorporated into these techniques. Flexible job-shop scheduling problem (FJSP) is one of the most challenging combinatorial optimization problems.
Tessaro Lunardi, Willian, Voos, Holger
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A Hybrid Multiobjective Evolutionary Approach for Flexible Job‐Shop Scheduling Problems [PDF]
Mathematical Problems in Engineering, 2012 This paper addresses multiobjective flexible job‐shop scheduling problem (FJSP) with three simultaneously considered objectives: minimizing makespan, minimizing total workload, and minimizing maximal workload. A hybrid multiobjective evolutionary approach (H‐MOEA) is developed to solve the problem.
Xiong, Jian +4 more
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Journal of Applied Mathematics, 2012 Scheduled production system leads to avoiding stock accumulations, losses reduction, decreasing or even eliminating idol machines, and effort to better benefitting from machines for on time responding customer orders and supplying requested materials in ...
Behnam Barzegar +2 more
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Evaluate Flexible Job Scheduling Problem Using Elitist Ant [PDF]
BIO Web of ConferencesOne significant approach that is frequently utilized in many applications, particularly in industry, is scheduling .An extension of job scheduling, the Flexible Job Shop Scheduling Problem (FJSP), has a number of real-world uses .This subject has ...
Ali Zainab, Hassan Luma S.
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IEEE Access, 2019 Flexible job shop scheduling problem with combined processing constraint is a common scheduling problem in assembly manufacturing industry. However, traditional methods for classic flexible job shop scheduling problem (FJSP) cannot be directly applied ...
Haihua Zhu +3 more
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