Reinforcement learning for online optimization of job-shop scheduling in a smart manufacturing factory

Dynamic multi-objective scheduling for flexible job shop by deep reinforcement learning

(2021) Shu Luo et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Modelling and optimization of integrated distributed flow shop scheduling and distribution problems with time windows

(2021) Yushuang Hou et al.   EXPERT SYSTEMS WITH APPLICATIONS

Research on intelligent workshop resource scheduling method based on improved NSGA-II algorithm

(2021) Minghai Yuan et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Distributed scheduling problems in intelligent manufacturing systems

(2021) Yaping Fu et al.   TSINGHUA SCIENCE AND TECHNOLOGY

Scheduling Dual-Objective Stochastic Hybrid Flow Shop With Deteriorating Jobs via Bi-Population Evolutionary Algorithm

(2019) Yaping Fu et al.   IEEE Transactions on Systems Man Cybernetics-Systems

An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling

(2018) John Park et al.   APPLIED SOFT COMPUTING

Real-time scheduling for a smart factory using a reinforcement learning approach

(2018) Yeou-Ren Shiue et al.   COMPUTERS & INDUSTRIAL ENGINEERING

A multi-agent system for sharing distributed manufacturing resources

(2018) Kai Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

Game theory based real-time multi-objective flexible job shop scheduling considering environmental impact

(2017) Yingfeng Zhang et al.   JOURNAL OF CLEANER PRODUCTION

Mastering the game of Go without human knowledge

(2017) David Silver et al.   NATURE

Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination

(2016) Shiyong Wang et al.   Computer Networks

Agent-based fuzzy constraint-directed negotiation mechanism for distributed job shop scheduling

(2016) Chia-Yu Hsu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Biomimetics in Production Organization – A Literature Study and Framework

(2016) Kirsten Reisen et al.   Journal of Bionic Engineering

Manifold learning based rescheduling decision mechanism for recessive disturbances in RFID-driven job shops

(2016) Chuang Wang et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Distributed feedback control algorithm in an auction-based manufacturing planning and control system

(2012) Li-Chih Wang et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

An autonomous manufacturing system based on swarm of cognitive agents

(2012) Hong-Seok Park et al.   JOURNAL OF MANUFACTURING SYSTEMS

Minimizing mean weighted tardiness in unrelated parallel machine scheduling with reinforcement learning

(2011) Zhicong Zhang et al.   COMPUTERS & OPERATIONS RESEARCH

Agent-based manufacturing control based on distributed bid selection and publish-subscribe messaging: a simulation case study

(2011) W.L. Yeung   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Artificial Cognition in Production Systems

(2010) Alexander Bannat et al.   IEEE Transactions on Automation Science and Engineering

An efficient job-shop scheduling algorithm based on particle swarm optimization☆

(2009) Tsung-Lieh Lin et al.   EXPERT SYSTEMS WITH APPLICATIONS

A holonic approach to dynamic manufacturing scheduling

(2007) Paulo Leitão et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING