Search Results - subject:"Process monitoring"

Monitoring aggregate warranty claims with dynamically designed CUSUM and EWMA charts

Li, Chenglong; Wang, Junjie; Wang, Xiao-Lin - In: International journal of production research 62 (2024) 7, pp. 2370-2397

Persistent link: https://www.econbiz.de/10014546449

Distribution-free control charts for monitoring scale in finite horizon productions

Perdikis, Theodoros; Celano, Giovanni; Chakraborti, … - In: European journal of operational research : EJOR 314 (2024) 3, pp. 1040-1051

Persistent link: https://www.econbiz.de/10014456934

Variational AutoEncoders-LSTM based fault detection of time-dependent high dimensional processes

Maged, Ahmed; Lui, Chun Fai; Haridy, Salah; Xie, Min - In: International journal of production research 62 (2024) 4, pp. 1092-1107

Persistent link: https://www.econbiz.de/10014458499

L-PBF AM process failures causal chain : an FMEA-based monitoring approach for process control

Muller, Nicolas; Quinsat, Yann; Tournier, Christophe - 2024

Persistent link: https://www.econbiz.de/10015097272

Machine learning in business process monitoring : a comparison of deep learning and classical approaches used for outcome prediction

Kratsch, Wolfgang; Manderscheid, Jonas Hans; … - In: Business & information systems engineering 63 (2021) 3, pp. 261-276

Persistent link: https://www.econbiz.de/10012542845

Integration of inventory control, maintenance policy, and quality control for selling products under warranty

Salmasnia, Ali; Hajihaji, Soudabeh; Sharafi, Saeid; … - In: Computational management science 20 (2023) 1, pp. 1-36

Persistent link: https://www.econbiz.de/10014393428

Adaptive Shewhart control charts under fuzzy parameters with tuned particle swarm optimization algorithm

Amiri, Amirhossein; Salmasnia, Ali; Zarifi, Meraj; … - In: Journal of industrial integration and management : … 8 (2023) 2, pp. 241-276

Persistent link: https://www.econbiz.de/10014304967

Machine Learning in Business Process Monitoring: A Comparison of Deep Learning and Classical Approaches Used for Outcome Prediction

Kratsch, Wolfgang; Manderscheid, Jonas; Röglinger, … - In: Business & Information Systems Engineering 63 (2020) 3, pp. 261-276

Predictive process monitoring aims at forecasting the behavior, performance, and outcomes of business processes at … when it comes to outcome-oriented predictive process monitoring. This circumstance reflects a lack of understanding about …

Persistent link: https://www.econbiz.de/10014503822

In-situ identification of material batches using machine learning for machining operations

Lutz, Benjamin; Kisskalt, Dominik; Mayr, Andreas; … - In: Journal of Intelligent Manufacturing 32 (2020) 5, pp. 1485-1495

In subtractive manufacturing, differences in machinability among batches of the same material can be observed. Ignoring these deviations can potentially reduce product quality and increase manufacturing costs. To consider the influence of the material batch in process optimization models, the...

Persistent link: https://www.econbiz.de/10014504411

Phase II monitoring of multivariate simple linear profiles with estimated parameters

Yazdi, Ahmad Ahmadi; Hamadani, Ali Zeinal; Amiri, … - In: Journal of Industrial Engineering International 15 (2019) 4, pp. 557-570

In some applications of statistical process monitoring, a quality characteristic can be characterized by linear …

Persistent link: https://www.econbiz.de/10013470804