Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0
Authors
Keywords
-
Journal
JOURNAL OF INTELLIGENT MANUFACTURING
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-01-11
DOI
10.1007/s10845-019-01531-7
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An online machine learning framework for early detection of product failures in an Industry 4.0 context
- (2019) J. A. Carvajal Soto et al. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
- A proactive task dispatching method based on future bottleneck prediction for the smart factory
- (2019) Binbin Huang et al. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
- Fundamentals of smart manufacturing: A multi-thread perspective
- (2019) Andrew Kusiak ANNUAL REVIEWS IN CONTROL
- Combining translation-invariant wavelet frames and convolutional neural network for intelligent tool wear state identification
- (2019) Xin-Cheng Cao et al. COMPUTERS IN INDUSTRY
- Review of quantitative methods for supply chain resilience analysis
- (2019) Seyedmohsen Hosseini et al. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
- A new resilience measure for supply networks with the ripple effect considerations: a Bayesian network approach
- (2019) Seyedmohsen Hosseini et al. ANNALS OF OPERATIONS RESEARCH
- Automatic equipment fault fingerprint extraction for the fault diagnostic on the batch process data
- (2018) Hamideh Rostami et al. APPLIED SOFT COMPUTING
- Integrated production planning and control system for a panelized home prefabrication facility using simulation and RFID
- (2018) Mohammed Sadiq Altaf et al. AUTOMATION IN CONSTRUCTION
- Reinforcement learning for adaptive order dispatching in the semiconductor industry
- (2018) Nicole Stricker et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- Real-time scheduling for a smart factory using a reinforcement learning approach
- (2018) Yeou-Ren Shiue et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Using a classifier ensemble for proactive quality monitoring and control: The impact of the choice of classifiers types, selection criterion, and fusion process
- (2018) Philippe Thomas et al. COMPUTERS IN INDUSTRY
- Canonical variable analysis and long short-term memory for fault diagnosis and performance estimation of a centrifugal compressor
- (2018) Xiaochuan Li et al. CONTROL ENGINEERING PRACTICE
- Misplaced product detection using sensor data without planograms
- (2018) Andreas Solti et al. DECISION SUPPORT SYSTEMS
- Big data driven cycle time parallel prediction for production planning in wafer manufacturing
- (2018) Junliang Wang et al. Enterprise Information Systems
- Bilateral LSTM: A Two-Dimensional Long Short-Term Memory Model With Multiply Memory Units for Short-Term Cycle Time Forecasting in Re-entrant Manufacturing Systems
- (2018) Junliang Wang et al. IEEE Transactions on Industrial Informatics
- A survey of the advancing use and development of machine learning in smart manufacturing
- (2018) Michael Sharp et al. JOURNAL OF MANUFACTURING SYSTEMS
- Deep learning for smart manufacturing: Methods and applications
- (2018) Jinjiang Wang et al. JOURNAL OF MANUFACTURING SYSTEMS
- Data-driven smart manufacturing
- (2018) Fei Tao et al. JOURNAL OF MANUFACTURING SYSTEMS
- Combining granular computing technique with deep learning for service planning under social manufacturing contexts
- (2018) Jiewu Leng et al. KNOWLEDGE-BASED SYSTEMS
- An empirical comparison on state-of-the-art multi-class imbalance learning algorithms and a new diversified ensemble learning scheme
- (2018) Jingjun Bi et al. KNOWLEDGE-BASED SYSTEMS
- Data-driven predictive control of molten iron quality in blast furnace ironmaking using multi-output LS-SVR based inverse system identification
- (2018) Ping Zhou et al. NEUROCOMPUTING
- Reinforcement Learning-Based and Parametric Production-Maintenance Control Policies for a Deteriorating Manufacturing System
- (2018) A. S. Xanthopoulos et al. IEEE Access
- Gantry Work Cell Scheduling through Reinforcement Learning with Knowledge-guided Reward Setting
- (2018) Xinyan Ou et al. IEEE Access
- Learning-based scheduling of flexible manufacturing systems using ensemble methods
- (2018) Paolo Priore et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Adjustment mode decision based on support vector data description and evidence theory for assembly lines
- (2018) Youlong Lv et al. INDUSTRIAL MANAGEMENT & DATA SYSTEMS
- Valuing data in aircraft maintenance through big data analytics: A probabilistic approach for capacity planning using Bayesian networks
- (2018) Duarte Dinis et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Simulation study on reward function of reinforcement learning in gantry work cell scheduling
- (2018) Xinyan Ou et al. JOURNAL OF MANUFACTURING SYSTEMS
- An approach to extracting complex knowledge patterns among concepts belonging to structured, semi-structured and unstructured sources in a data lake
- (2018) Paolo Lo Giudice et al. INFORMATION SCIENCES
- The industrial management of SMEs in the era of Industry 4.0
- (2017) Alexandre Moeuf et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- A fault feature characterization based method for remanufacturing process planning optimization
- (2017) Han Wang et al. JOURNAL OF CLEANER PRODUCTION
- Deep neural networks based order completion time prediction by using real-time job shop RFID data
- (2017) Chuang Wang et al. JOURNAL OF INTELLIGENT MANUFACTURING
- On-line self-adaptive framework for tailoring a neural-agent learning model addressing dynamic real-time scheduling problems
- (2017) Zeineb Hammami et al. JOURNAL OF MANUFACTURING SYSTEMS
- Big data analytics based fault prediction for shop floor scheduling
- (2017) Wei Ji et al. JOURNAL OF MANUFACTURING SYSTEMS
- Smart manufacturing must embrace big data
- (2017) Andrew Kusiak NATURE
- Machine learning on big data: Opportunities and challenges
- (2017) Lina Zhou et al. NEUROCOMPUTING
- A big data driven sustainable manufacturing framework for condition-based maintenance prediction
- (2017) Ajay Kumar et al. Journal of Computational Science
- Dynamic Scheduling of a Semiconductor Production Line Based on a Composite Rule Set
- (2017) Yumin Ma et al. Applied Sciences-Basel
- An integrated decision analytic framework of machine learning with multi-criteria decision making for multi-attribute inventory classification
- (2016) Hasan Kartal et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Designing a fuzzy Q-learning multi-agent quality control system for a continuous chemical production line – A case study
- (2016) Navid Sahebjamnia et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Big Data for supply chain management in the service and manufacturing sectors: Challenges, opportunities, and future perspectives
- (2016) Ray Y. Zhong et al. COMPUTERS & INDUSTRIAL ENGINEERING
- A Bayesian network model for resilience-based supplier selection
- (2016) Seyedmohsen Hosseini et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Dynamic adjustment of dispatching rule parameters in flow shops with sequence-dependent set-up times
- (2016) Jens Heger et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Manifold learning based rescheduling decision mechanism for recessive disturbances in RFID-driven job shops
- (2016) Chuang Wang et al. JOURNAL OF INTELLIGENT MANUFACTURING
- A comparison of machine learning methods for cutting parameters prediction in high speed turning process
- (2016) Zoran Jurkovic et al. JOURNAL OF INTELLIGENT MANUFACTURING
- A prediction-based online soft scheduling algorithm for the real-world steelmaking-continuous casting production
- (2016) Sheng-long Jiang et al. KNOWLEDGE-BASED SYSTEMS
- A real-time fault diagnosis methodology of complex systems using object-oriented Bayesian networks
- (2016) Baoping Cai et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- RFID-enabled indoor positioning method for a real-time manufacturing execution system using OS-ELM
- (2016) Zhixin Yang et al. NEUROCOMPUTING
- Research on Energy-Saving Production Scheduling Based on a Clustering Algorithm for a Forging Enterprise
- (2016) Yifei Tong et al. Sustainability
- Planning and scheduling of steel plates production. Part I: Estimation of production times via hybrid Bayesian networks for large domain of discrete variables
- (2015) Junichi Mori et al. COMPUTERS & CHEMICAL ENGINEERING
- Machine learning: Trends, perspectives, and prospects
- (2015) M. I. Jordan et al. SCIENCE
- Refinery scheduling with varying crude: A deep belief network classification and multimodel approach
- (2014) Xiaoyong Gao et al. AICHE JOURNAL
- An interoperable adaptive scheduling strategy for knowledgeable manufacturing based on SMGWQ-learning
- (2014) Hao-Xiang Wang et al. JOURNAL OF INTELLIGENT MANUFACTURING
- An MDP Model-Based Reinforcement Learning Approach for Production Station Ramp-Up Optimization: Q-Learning Analysis
- (2014) Stefanos Doltsinis et al. IEEE Transactions on Systems Man Cybernetics-Systems
- A Chance Constrained Programming Approach to Determine the Optimal Disassembly Sequence
- (2013) Guangdong Tian et al. IEEE Transactions on Automation Science and Engineering
- A reinforcement learning based approach for a multiple-load carrier scheduling problem
- (2013) Ci Chen et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Study on shop floor control system in semiconductor fabrication by self-organizing map-based intelligent multi-controller
- (2012) Yeou-Ren Shiue et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Data mining based job dispatching using hybrid simulation-optimization approach for shop scheduling problem
- (2012) Atif Shahzad et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Reinforcement learning for joint pricing, lead-time and scheduling decisions in make-to-order systems
- (2012) Xueping Li et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- SmartGantt – An intelligent system for real time rescheduling based on relational reinforcement learning
- (2012) Jorge Palombarini et al. EXPERT SYSTEMS WITH APPLICATIONS
- Data-based scheduling framework and adaptive dispatching rule of complex manufacturing systems
- (2012) Li Li et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Adaptive production control system for a flexible manufacturing cell using support vector machine-based approach
- (2012) V. K. Manupati et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Rule mining for scheduling cross training with a heterogeneous workforce
- (2012) Sungsu Kim et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Mining SOTs and dispatching rules from RFID-enabled real-time shopfloor production data
- (2012) Ray Y. Zhong et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Solving large scale disassembly line balancing problem with uncertainty using reinforcement learning
- (2012) Emre Tuncel et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Intelligent machine agent architecture for adaptive control optimization of manufacturing processes
- (2011) Grant H. Kruger et al. ADVANCED ENGINEERING INFORMATICS
- Bayesian filter based behavior recognition in workflows allowing for user feedback
- (2011) Dimitrios I. Kosmopoulos et al. COMPUTER VISION AND IMAGE UNDERSTANDING
- Minimizing mean weighted tardiness in unrelated parallel machine scheduling with reinforcement learning
- (2011) Zhicong Zhang et al. COMPUTERS & OPERATIONS RESEARCH
- Real-world production scheduling for the food industry: An integrated approach
- (2011) Tony Wauters et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Semiconductor final test scheduling with Sarsa(λ,k) algorithm
- (2011) Zhicong Zhang et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Employing dependent virtual samples to obtain more manufacturing information in pilot runs
- (2011) Der-Chiang Li et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Dynamic scheduling for multi-site companies: a decisional approach based on reinforcement multi-agent learning
- (2011) N. Aissani et al. JOURNAL OF INTELLIGENT MANUFACTURING
- WIPA: neural network and case base reasoning models for allocating work in progress
- (2010) Lucas K. C. Lai et al. JOURNAL OF INTELLIGENT MANUFACTURING
- A Survey on Transfer Learning
- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Classification knowledge discovery in mold tooling test using decision tree algorithm
- (2009) Duen-Yian Yeh et al. JOURNAL OF INTELLIGENT MANUFACTURING
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started