A review of data-driven decision-making methods for industry 4.0 maintenance applications
Decision-making for manufacturing and maintenance operations is benefiting from the
advanced sensor infrastructure of Industry 4.0, enabling the use of algorithms that analyze …
advanced sensor infrastructure of Industry 4.0, enabling the use of algorithms that analyze …
Decision making in predictive maintenance: Literature review and research agenda for industry 4.0
The emergence of Industry 4.0 has led to a wide use of sensors which have facilitated
manufacturing operations. Predictive maintenance has significantly benefited from these …
manufacturing operations. Predictive maintenance has significantly benefited from these …
A review of predictive and prescriptive offshore wind farm operation and maintenance
Offshore wind farms are a rapidly developing source of clean, low-carbon energy and as
they continue to grow in scale and capacity, so does the requirement for their efficient and …
they continue to grow in scale and capacity, so does the requirement for their efficient and …
Opportunistic maintenance strategy for wind turbines considering weather conditions and spare parts inventory management
C Zhang, W Gao, T Yang, S Guo - Renewable Energy, 2019 - Elsevier
The wind power industry has experienced rapid growth over the past few decades, but the
operation and maintenance costs have become huge challenges to achieve better …
operation and maintenance costs have become huge challenges to achieve better …
Spare parts management in industry 4.0 era: a literature review
Purpose Spare Parts Management (SPM) and Industry 4.0 has proven their importance.
However, employment of Industry 4.0 solutions for SPM is at emerging stage. To address the …
However, employment of Industry 4.0 solutions for SPM is at emerging stage. To address the …
A two-stage genetic algorithm for joint coordination of spare parts inventory and planned maintenance under uncertain failures
The main problem of spare parts management is to maintain the minimal requirement of
stock keeping units kept. This research proposes a joint optimization model of multi-item …
stock keeping units kept. This research proposes a joint optimization model of multi-item …
Spare parts control strategies for offshore wind farms: A critical review and comparative study
Offshore Wind Farm (OWF) downtime causes huge financial loss to the stakeholders. One of
the major concerns for them is to reduce the downtime of the offshore wind turbine as much …
the major concerns for them is to reduce the downtime of the offshore wind turbine as much …
Predictive maintenance in industry 4.0: Current themes
Abstract The Fourth Industrial Revolution (Industry 4.0) has created significant technological
growth for manufacturing organizations worldwide, attracting important attention from the …
growth for manufacturing organizations worldwide, attracting important attention from the …
A maturity assessment procedure model for realizing knowledge-based maintenance strategies in smart manufacturing enterprises
The digital transformation of manufacturing industries currently re-invents conventional
production paradigms through the creation of cyber-physical production systems (CPPS) …
production paradigms through the creation of cyber-physical production systems (CPPS) …
Joint optimization of inspection and spare ordering policy with multi-level defect information
F Zhao, X Liu, R Peng, J Kang - Computers & Industrial Engineering, 2020 - Elsevier
Condition-based maintenance (CBM) is addressing increasing attention in asset
management, which makes both maintenance and spare decision-making based on system …
management, which makes both maintenance and spare decision-making based on system …