A review of the high-mix, low-volume manufacturing industry

ZL Gan, SN Musa, HJ Yap - Applied Sciences, 2023 - mdpi.com
The high-mix, low-volume (HMLV) industry has seen growth in the need for product
customisation with research to increase manufacturers' flexibility for the variation in market …

[HTML][HTML] Modernizing risk assessment: A systematic integration of PRA and PHM techniques

R Moradi, KM Groth - Reliability Engineering & System Safety, 2020 - Elsevier
Recent advances in sensing and computing technologies have resulted in an abundance of
data in various formats and more processing power for using this data. Consequently, there …

Event-based failure prediction in distributed business processes

M Borkowski, W Fdhila, M Nardelli, S Rinderle-Ma… - Information Systems, 2019 - Elsevier
Abstract Traditionally, research in Business Process Management has put a strong focus on
centralized and intra-organizational processes. However, today's business processes are …

Building and using dynamic risk-informed diagnosis procedures for complex system accidents

KM Groth, MR Denman, MC Darling… - Proceedings of the …, 2020 - journals.sagepub.com
Accidents pose unique challenges for operating crews in complex systems such as nuclear
power plants, presenting limitations in plant status information and lack of detailed …

Flexible and robust detection for assembly automation with YOLOv5: a case study on HMLV manufacturing line

A Simeth, AA Kumar, P Plapper - Journal of Intelligent Manufacturing, 2024 - Springer
Automating assembly processes in High-Mix, Low Volume (HMLV) manufacturing remains
challenging, especially for Small and Medium-sized Enterprises (SMEs). Consequently …

Continuous modelling of machine tool failure durations for improved production scheduling

B Denkena, MA Dittrich, L Keunecke… - Production …, 2020 - Springer
Unforeseen machine tool failures due to technical issues can cause downtimes leading to
delays during production. To reduce delays, rescheduling of the production is, in most …

A Bayesian failure prediction network based on text sequence mining and clustering

W Chang, Z Xu, M You, S Zhou, Y Xiao, Y Cheng - Entropy, 2018 - mdpi.com
The purpose of this paper is to predict failures based on textual sequence data. The current
failure prediction is mainly based on structured data. However, there are many unstructured …

Degradation trend prediction for rotating machinery using long-range dependence and particle filter approach

Q Li, SY Liang - Algorithms, 2018 - mdpi.com
Timely maintenance and accurate fault prediction of rotating machinery are essential for
ensuring system availability, minimizing downtime, and contributing to sustainable …

[PDF][PDF] Investigation into service quality and service operations of Indian automotive after-sales market

MP Singh - 2023 - dspace.bits-pilani.ac.in
The automobile industry plays a crucial role in India's economy with respect to gross
domestic product and providing employment to people directly and indirectly. Service quality …

Special section on``Applications of probabilistic graphical models in dependability, diagnosis and prognosis''

P Weber, L Portinale - Reliability Engineering and System Safety, 2017 - hal.science
In order to manage and to maintain in operating condition industrial artefacts during the
lifecycle, engineers usually produce models for the prediction or the prognosis of functioning …