A concept map-based cognitive framework for acquiring expert knowledge in industrial environment

Lin, Yuetong; Shahhosseini, A. Mehran; Badar, M. Affan; Foster, Tad; Dean, Jason C.

doi:10.1109/fie.2016.7757702

Cited by 4 publications

(3 citation statements)

References 20 publications

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“…It is more intended to support knowledge transfer and learner learning [28][29][30]. Lin et al, [31] propose, for instance, a concept mapbased framework to help business, especially heavy industry, to retain domain-specific tribal knowledge.…”

Section: Related Workmentioning

confidence: 99%

Electronic knowledge books (eK-Books) as a medium to capitalise on and transfer scientific, engineering, operational, technological and craft knowledge

Baudrit,

Fernandez,

Couteaux

et al. 2024

PLoS ONE

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The capitalisation on and transfer of technological, engineering and scientific knowledge associated with empirical know-how is an important issue for the sustainability and development of manufacturing. Indeed, certain sectors of industry are facing the increasing ageing of the labour force, recruitment difficulties and high staff turnover, leading to a loss of knowledge and know-how. In a context of numerical and digital transition and the migration of processes to industry 4.0, one of major challenges manufacturers face today is their capacity to build intelligent platforms for acquiring, storing and transferring their know-how and knowledge. It is crucial to create new media and tools for staff training and development capable of capturing knowledge and reusing it to create a project history through expertise and data collection. This paper presents the methodology and guidelines for implementing electronic knowledge books (eK-Books), along with their uses. The eK-Book is a semantic web-based hypertext medium (channel) allowing stakeholders to capitalise on, structure and transfer knowledge by using concept maps, process maps, influence graphs, downloadable documents, web pages and hypermedia knowledge sheets. They are intended for engineers, expert or novice technicians, manufacturers, sector coordinators and plant managers, as well as trainers and learners. They are usable and manageable in all types of environments and with different levels of accessibility. This paper highlights (1) the transfer knowledge capacity of eK-Books and (2) their usability in two agri-food sectors namely (1) the cheese sector with protected designation of origin (PDO) and protected geographical indication (PGI), and (2) the butchery and cold meat sectors.

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Section: Related Workmentioning

confidence: 99%

Electronic knowledge books (eK-Books) as a medium to capitalise on and transfer scientific, engineering, operational, technological and craft knowledge

Baudrit,

Fernandez,

Couteaux

et al. 2024

PLoS ONE

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“…These knowledge structures are not static, but highly dynamic in three ways: They (a) can be used to mentally simulate different situations, (b) include information about causal relations in a system, and (c) can change over time and with experience (Jones et al, 2011). While many methods are available to elicit and represent expert knowledge (Shadbolt & Smart, 2015), concept mapping in particular has been used to assess mental models (Lin et al, 2016; Palmunen et al, 2021; Uitdewilligen et al, 2023). Concept maps are node‐link diagrams, with nodes representing the concepts and links representing relations between these concepts.…”

Section: Theoretical and Domain Backgroundmentioning

confidence: 99%

Discipline differences in mental models: How mechanical engineers and automation engineers evaluate machine processes

Schmidt

Müller

2023

Hum Ftrs & Erg Mfg Svc

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Interdisciplinary collaboration frequently comes into play when existing problems cannot be solved by one discipline alone. However, the interlocking of contributions from different disciplines is by no means trivial. This exploratory study examines one foundation of successful teamwork, namely shared mental models. To this end, we compared the contents of mental models between members of different but interdependent disciplines who collaboratively solve knowledge‐intensive, creative tasks. Five automation and five mechanical engineers were recruited from a company that produces packaging machines. In semi‐structured interviews, participants reported their approach to evaluating the process behavior of a packaging machine, and their mental models were represented in concept maps. Quantitative analyses revealed that the maps of automation engineers were smaller than those of mechanical engineers. In qualitative analyses, the focus on different levels of abstraction and on contents from the two disciplines was examined. Automation engineers represented a large proportion of rather abstract machine functions, whereas mechanical engineers additionally represented the physical implementation of these functions. The disciplinary focus also differed in the sense that automation engineers mainly attended to automated machine processes, while mechanical engineers attended to both mechanical and automated processes. Overall, automation engineers' focus was narrower than that of mechanical engineers. We explain these results by considering typical tasks and reasoning processes in both disciplines, and discuss how shared mental models can aid the integration of different disciplinary perspectives, for instance, during Systems Engineering.

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“…Prior work by Shahhosseini served as a foundation for machine-based diagram evaluation [43][44][45][46]. Software was developed to compare two node-and-link diagrams and produce an overall similarity rating.…”

Section: Systems Thinking In Context Of Technological and Engineering Literacymentioning

confidence: 99%

Application of a Computerized Method for Evaluating Systems-Level Thinking

Krupczak¹,

Shahhosseini²

2019 ASEE Annual Conference &Amp; Exposition Proceedings

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He has published over 45 articles in different journals and conference proceedings. He has served as an investigator for research projects sponsored by National Science Foundation, Ford Motor Company, and the US Army. Before working at Indiana State University, he was a faculty in the University of Louisville for 10 years. He also has over four years of industrial experience. He received his D.Eng. degree in Mechanical Engineering from Lamar University (USA) in 1999, M.Sc. in Materials Engineering from Isfahan University of Technology (Iran) in 1991, and B.Sc. in Metallurgical Engineering from Tehran University (Iran) in 1988. He is a member of ASEE, ASME, SAE, and ATMAE.

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A concept map-based cognitive framework for acquiring expert knowledge in industrial environment

Cited by 4 publications

References 20 publications

Electronic knowledge books (eK-Books) as a medium to capitalise on and transfer scientific, engineering, operational, technological and craft knowledge

Electronic knowledge books (eK-Books) as a medium to capitalise on and transfer scientific, engineering, operational, technological and craft knowledge

Discipline differences in mental models: How mechanical engineers and automation engineers evaluate machine processes

Application of a Computerized Method for Evaluating Systems-Level Thinking

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