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Analysis of usage of genetic and tabu search algorithms in shop scheduling
Lietuvos Matematikos Rinkinys, 2008 A wide area of scheduling problem is industrial so-called shop scheduling (Job Shop, Flow Shop and Open Shop) which has important applications in real world industrial problems.
Edgaras Šakurovas +1 more
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Developing Multistage Heuristic Algorithm To Minimize Idle Time And Makespan In Job Shop Scheduling [PDF]
Engineering and Technology Journal, 2010 The behavior and performance of job shops have been the focus andattention in both operations research and operations management literature. Job shop scheduling has received this large amount of attention, because it has the potential to dramatically ...
Mahmoud Abbas Mahmoud
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Real-Time Selection System of Dispatching Rules for the Job Shop Scheduling Problem
Machines, 2023 Personalized market demands make the job shop scheduling problem (JSSP) increasingly complex, and the need for scheduling methods that can solve scheduling strategies quickly and easily has become very urgent.
Anran Zhao +5 more
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Neural Nets for Job-shop Scheduling, will they do the Job? [PDF]
IFAC Proceedings Volumes, 1993 A neural net structure has been developed which is capable of solving deterministic jobshop scheduling problems, part of the large class of np-complete problems. The problem was translated in an integer linear-programming format which facilitated translation in an adequate neural net structure.
Rooda, J.E., Willems, T.M.
openaire +2 more sources
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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Intelligent Scheduling with Reinforcement Learning
Applied Sciences, 2021 In this paper, we present and discuss an innovative approach to solve Job Shop scheduling problems based on machine learning techniques. Traditionally, when choosing how to solve Job Shop scheduling problems, there are two main options: either use an ...
Bruno Cunha +3 more
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Particle swarm optimization applied to job shop scheduling [PDF]
, 2007 In this project we have to apply the particle swarm optimization algorithm to job shop scheduling problem. Job shop scheduling is a combinatorial optimization problem where we have to arrange the jobs which may or may not be processed in every machine in
Dwivedi , Piyush, Vishal , Vivek
core
Applied Sciences, 2023 In a flexible job shop problem with transportation (FJSPT), a typical flexible manufacturing system comprises transporters that pick up and deliver jobs for processing at flexible job shops.
Che Han Lim, Seung Ki Moon
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Scheduling of non-repetitive lean manufacturing systems under uncertainty using intelligent agent simulation [PDF]
, 2008 World-class manufacturing paradigms emerge from specific types of manufacturing systems with which they remain associated until they are obsolete. Since its introduction the lean paradigm is almost exclusively implemented in repetitive manufacturing ...
Mousavi, A, Papadopoulou, T C
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Job-shop scheduling with limited capacity buffers [PDF]
, 2006 In this paper we investigate job-shop problems where limited capacity buffers to store jobs in non-processing periods are present. In such a problem setting, after finishing processing on a machine, a job either directly has to be processed on the ...
Brucker, Peter +3 more
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