Multi-faceted modelling for strip breakage in cold rolling using machine learning

Deep learning with long short-term memory networks and random forests for demand forecasting in multi-channel retail

(2020) Sushil Punia et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Learning dispatching rules using random forest in flexible job shop scheduling problems

(2019) Sungbum Jun et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Pharmaceutical quality control laboratory digital twin – A novel governance model for resource planning and scheduling

(2019) Miguel R. Lopes et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

From data to big data in production research: the past and future trends

(2018) Yong-Hong Kuo et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Cross-Domain Fault Diagnosis of Rolling Element Bearings Using Deep Generative Neural Networks

(2018) Xiang Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Effect of Processing Parameters on Edge Cracking in Cold Rolling

(2013) Yuxi Yan et al.   MATERIALS AND MANUFACTURING PROCESSES

Causes of chatter in a hot strip mill: Observations, qualitative analyses and mathematical modelling

(2011) Vladimir Panjković et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

Multivariable data analysis of a cold rolling control system to minimise defects

(2010) Kourosh Mousavi Takami et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Continuum damage mechanics analysis of strip tearing in a tandem cold rolling process

(2010) M. Mashayekhi et al.   SIMULATION MODELLING PRACTICE AND THEORY