IMPLEMENTING A SYSTEMATIC APPROACH TOWARDS THE DOWNTIME COST
Bhushan B. Malusare, Hemant Salunkhe
openaire +1 more source
ABSTRACT Offshore oil production in Brazil relies on Floating Production Storage and Offloading (FPSO) units, where failures in rotating machinery motivate machine learning–based predictive maintenance. Centralised training is impractical due to privacy constraints, heterogeneous and highly imbalanced local datasets and unreliable satellite ...
Lucas M. Almeida +5 more
wiley +1 more source
Factors Affecting the Functioning of Critical Medical Equipment in a Tertiary Care Hospital. [PDF]
Gupta A, Madaan N, Lathwal A.
europepmc +1 more source
This paper presents an intelligent advisor for prescriptive maintenance that integrates FMECA, machine learning, and knowledge graphs to support fault diagnosis and root‐cause analysis. Validated on a linear actuator, the framework enhances diagnostic interpretability and traceability, linking sensor‐level anomalies to transparent knowledge‐driven ...
Hongyi Lin, Agusmian Partogi Ompusunggu
wiley +1 more source
Cost and impact of decentralized tuberculosis testing: a modeling analysis of price thresholds for molecular instruments in high-burden settings. [PDF]
Ockhuisen T +7 more
europepmc +1 more source
THE ANALOG CITY: Maintaining Everyday Life Through Repair and Jugaad
Abstract Urban scholarship consistently discusses improvisation and heterogeneity as central to urban life in the global South. In this article, I bring together scholarship on urban improvisation and the digital world of smart cities to understand the city as analog.
Julia Corwin
wiley +1 more source
Development and preliminary evaluation of an AI-enhanced three-dimensional integrated quality model for quality-sensitive indicators in operating room management: a prospective single-center study. [PDF]
Li L, Cai J, Huang X, Cai J.
europepmc +1 more source
ABSTRACT Technological advancements and, more recently, the COVID‐19 pandemic have accelerated the transition toward hybrid workplaces. Even though the design of appropriate HRM practices is recognized as an important factor in ensuring an effective transition toward hybrid work environments, existing research has offered limited insights into how ...
Sara Bonesso +2 more
wiley +1 more source
A two-stage framework for cost-sensitive predictive maintenance using deep learning, GANs, and risk-aware clustering. [PDF]
Hakami A.
europepmc +1 more source
Output Quality, Productivity, and Demand: Evidence from the Chinese Steel Industry
ABSTRACT Unobserved objective output quality complicates the analysis of firm productivity and demand because higher‐quality products entail higher costs but offer greater consumption benefits. Using a panel of firms with output quality data, we decompose quantity‐based productivity into fundamental productivity and the costs of quality, and separate ...
Jing Li, Shengyu Li, Hongsong Zhang
wiley +1 more source

