Information as a key dimension to develop industrial asset management in manufacturing

Abstract

PurposeThe purpose of this work is to investigate industrial asset management (AM) in manufacturing. After depicting gaps for AM in this sector, the role of information as a key dimension is considered to realise a summary of challenges and advices for future development.Design/methodology/approachThe work is grounded on an extensive systematic literature review. Considering the eligible documents, descriptive statistics are provided and a content analysis is performed, both based on a sector-independent normative-based framework of analysis.FindingsAM principles, organisation and information are the dimensions defined to group ten areas of interest for AM in manufacturing. Information is the major concern for an effective AM implementation. Moreover, Internet of Things and big data management and analytics, as well as data modelling and ontology engineering, are the major technologies envisioned to advance the implementation of AM in manufacturing.Research limitations/implicationsThe identified challenges and advices for future development may serve to stimulate further research on AM in manufacturing, with special focus on information and data management. The sector-independent normative-based framework may also enable to analyse AM in different contexts of application, thus favouring cross-sectorial comparisons.Originality/valueIndustries with higher operational risk, like Oil&Gas and infrastructure, are advanced in AM, while others, like some in manufacturing, are laggard in this respect. This literature review is the first of a kind addressing AM in manufacturing and depicts the state-of-the-art to pave the way for future research and development.

Research on Problems and Countermeasures in the Digital Transformation of Dongguan Small and Medium-sized Enterprises (SMEs)

“…First, the government should build an official information platform to improve the information exchange mechanism of industrial clusters and avoid blind competition and inefficient transformation between enterprises. Secondly, the government should use its influence to cluster small and medium-sized manufacturing enterprises of the same type on the existing basis to create industrial parks, which will focus on providing public services such as policy consultation, free training, and enterprise technology exchanges, and provide targeted assistance to enterprises in need of help to break through the thresholds and realize transformation [11] .…”

Gestão de ativos em concessionárias de energia elétrica: o uso de Sistema Especialista Paraconsistente para elevação de eficiência e qualidade através da predição

“…Entretanto, sistemas de gestão de ativos trazem uma particularidade que é o volume de informações existentes (Polenghi, 2022) em relação aos tradicionais sistemas supervisórios.…”

A methodology to boost data-driven decision-making process for a modern maintenance practice

“…When looking from the technological perspective, effort is put on extracting value from raw data to judge suitable decisions (Tao et al 2018b). The transformation of data into usable and useful information involves (Polenghi et al 2021): (i) the generation of data from the physical asset (data collection), (ii) its successive and gradual transformation into information to support the decision-making process (data to information transformation), and (iii) the judgment of a decision based on shared and integrated information (information management and integration) that impacts on the management of the asset, in a virtuous cycle . Figure 1 reports a summary of the process with details of some specific topics.…”

“…These phenomena are relevant and challenging at the same time in manufacturing, which is experiencing an increasing adoption of AM (Polenghi et al 2021). Furthermore, manufacturing could count on huge amounts of multi-sourced data (Errandonea, Beltrán, and Arrizabalaga 2020).…”