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Real-time production scheduling in the Industry-4.0 context: Addressing uncertainties in job arrivals and machine breakdowns

Computers & operations research, 2020-11, Vol.123, p.105031, Article 105031

2020

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Scheduling in production, supply chain and Industry 4.0 systems by optimal control: fundamentals, state-of-the-art and applications

International journal of production research, 2019-01, Vol.57 (2), p.411-432

2019

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An effective hybrid genetic algorithm and tabu search for flexible job shop scheduling problem

International journal of production economics, 2016-04, Vol.174, p.93-110

2016

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Multi-objective genetic algorithm for energy-efficient job shop scheduling

International journal of production research, 2015-12, Vol.53 (23), p.7071-7089

2015

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Real-time data-driven dynamic scheduling for flexible job shop with insufficient transportation resources using hybrid deep Q network

Robotics and computer-integrated manufacturing, 2022-04, Vol.74, p.102283, Article 102283

2022

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Multi-objective optimization for energy-efficient flexible job shop scheduling problem with transportation constraints

Robotics and computer-integrated manufacturing, 2019-10, Vol.59, p.143-157

2019

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Deep reinforcement learning for dynamic scheduling of a flexible job shop

International journal of production research, 2022-07, Vol.60 (13), p.4049-4069

2022

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A multi objective optimization approach for flexible job shop scheduling problem under random machine breakdown by evolutionary algorithms

Computers & operations research, 2016-09, Vol.73, p.56-66

2016

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A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems

IEEE/CAA journal of automatica sinica, 2019-07, Vol.6 (4), p.904-916

2019

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IEEE_Xplore

A shuffled frog-leaping algorithm for flexible job shop scheduling with the consideration of energy consumption

International journal of production research, 2017-06, Vol.55 (11), p.3126-3140

2017

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A Two-Phase Meta-Heuristic for Multiobjective Flexible Job Shop Scheduling Problem With Total Energy Consumption Threshold

IEEE transactions on cybernetics, 2019-03, Vol.49 (3), p.1097-1109

2019

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IEEE_Xplore

A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules

Evolutionary computation, 2019-09, Vol.27 (3), p.467-496

2019

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A survey of job shop scheduling problem: The types and models

Computers & operations research, 2022-06, Vol.142, p.105731, Article 105731

2022

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A hybrid artificial bee colony algorithm for flexible job shop scheduling with worker flexibility

International journal of production research, 2020-07, Vol.58 (14), p.4406-4420

2020

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Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning

International journal of production research, 2021-06, Vol.59 (11), p.3360-3377

2021

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Multi-objective optimisation for energy-aware flexible job-shop scheduling problem with assembly operations

International journal of production research, 2021-12, Vol.59 (23), p.7216-7231

2021

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Automatic design of scheduling policies for dynamic flexible job shop scheduling via surrogate-assisted cooperative co-evolution genetic programming

International journal of production research, 2020-05, Vol.58 (9), p.2561-2580

2020

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Energy-Efficient Scheduling of Distributed Flow Shop With Heterogeneous Factories: A Real-World Case From Automobile Industry in China

IEEE transactions on industrial informatics, 2021-10, Vol.17 (10), p.6687-6696

2021

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IEEE_Xplore

A research survey: review of flexible job shop scheduling techniques

International transactions in operational research, 2016-05, Vol.23 (3), p.551-591

2016

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Multi-objective genetic algorithm for energy-efficient hybrid flow shop scheduling with lot streaming

Annals of operations research, 2020-07, Vol.290 (1-2), p.813-836

2020

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Multi-objective optimization based on decomposition for flexible job shop scheduling under time-of-use electricity prices

Knowledge-based systems, 2020-09, Vol.204, p.106177, Article 106177

2020

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Genetic programming-based hyper-heuristic approach for solving dynamic job shop scheduling problem with extended technical precedence constraints

Computers & operations research, 2021-10, Vol.134, p.105401, Article 105401

2021

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Dynamic job-shop scheduling in smart manufacturing using deep reinforcement learning

Computer networks (Amsterdam, Netherlands : 1999), 2021-05, Vol.190, p.107969, Article 107969

2021

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Review of job shop scheduling research and its new perspectives under Industry 4.0

Journal of intelligent manufacturing, 2019-04, Vol.30 (4), p.1809-1830

2019

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Mixed Integer linear programming and constraint programming models for the online printing shop scheduling problem

Computers & operations research, 2020-11, Vol.123, p.105020, Article 105020

2020

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Real-time production scheduling in the Industry-4.0 context: Addressing uncertainties in job arrivals and machine breakdowns

Scheduling in production, supply chain and Industry 4.0 systems by optimal control: fundamentals, state-of-the-art and applications

An effective hybrid genetic algorithm and tabu search for flexible job shop scheduling problem

Multi-objective genetic algorithm for energy-efficient job shop scheduling

Real-time data-driven dynamic scheduling for flexible job shop with insufficient transportation resources using hybrid deep Q network

Multi-objective optimization for energy-efficient flexible job shop scheduling problem with transportation constraints

Deep reinforcement learning for dynamic scheduling of a flexible job shop

A multi objective optimization approach for flexible job shop scheduling problem under random machine breakdown by evolutionary algorithms

A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems

A shuffled frog-leaping algorithm for flexible job shop scheduling with the consideration of energy consumption

A Two-Phase Meta-Heuristic for Multiobjective Flexible Job Shop Scheduling Problem With Total Energy Consumption Threshold

A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules

A survey of job shop scheduling problem: The types and models

A hybrid artificial bee colony algorithm for flexible job shop scheduling with worker flexibility

Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning

Multi-objective optimisation for energy-aware flexible job-shop scheduling problem with assembly operations

Automatic design of scheduling policies for dynamic flexible job shop scheduling via surrogate-assisted cooperative co-evolution genetic programming

Energy-Efficient Scheduling of Distributed Flow Shop With Heterogeneous Factories: A Real-World Case From Automobile Industry in China

A research survey: review of flexible job shop scheduling techniques

Multi-objective genetic algorithm for energy-efficient hybrid flow shop scheduling with lot streaming

Multi-objective optimization based on decomposition for flexible job shop scheduling under time-of-use electricity prices

Genetic programming-based hyper-heuristic approach for solving dynamic job shop scheduling problem with extended technical precedence constraints

Dynamic job-shop scheduling in smart manufacturing using deep reinforcement learning

Review of job shop scheduling research and its new perspectives under Industry 4.0

Mixed Integer linear programming and constraint programming models for the online printing shop scheduling problem

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