Multi-perspective modeling: managing heterogeneous manufacturing knowledge based on ontologies and topic maps

PurposeThe study aims to map the links between Industry 4.0 (I-4.0) technologies and circular economy (CE) for sustainable operations and their role to achieving the selected number of sustainable development goals (SDGs).Design/methodology/approachThe study adopts a systematic literature review method to identify 76 primary studies that were published between January 2010 and December 2020. The authors synthesized the existing literature using Scopus database to investigate I-4.0 technologies and CE to select SDGs.FindingsThe findings of the study bridge the gap in the literature at the intersection between I-4.0 and sustainable operations in line with the regenerate, share, optimize, loop, virtualize and exchange (ReSOLVE) framework leading to CE practices. Further, the study also depicts the CE practices leading to the select SDGs (“SDG 6: Clean Water and Sanitation,” “SDG 7: Affordable and Clean Energy,” “SDG 9: Industry, Innovation and Infrastructure,” “SDG 12: Responsible Consumption and Production” and “SDG 13: Climate Action”). The study proposes a conceptual framework based on the linkages above, which can help organizations to realign their management practices, thereby achieving specific SDGs.Originality/valueThe originality of the study is substantiated by a unique I-4.0-sustainable operations-CE-SDGs (ISOCES) framework that integrates I-4.0 and CE for sustainable development. The framework is unique, as it is based on an in-depth and systematic review of the literature that maps the links between I-4.0, CE and sustainability.

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“…, 2014; Lombardi and Laybourn, 2012; Nasr and Thurston, 2006; Rodriguez-Anton et al. , 2019; Yao et al. , 2013).…”

Section: Background Literaturementioning

confidence: 99%

Mapping the links between Industry 4.0, circular economy and sustainability: a systematic literature review

Patyal

Sarma

Modgil

et al. 2022

JEIM

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“…The field of knowledge management attracts researchers from diverse disciplines with different perspectives, theories, and interest in the field. Knowledge management in manufacturing and collaborative organisations also has been addressed in previous research, for example in [8], [27], [28], and [29]. At least two perspectives on KMS have to be differentiated:…”

Section: Context-oriented Knowledge Managementmentioning

confidence: 99%

Context-oriented Knowledge Management in Production Networks

Sandkuhl

Smirnov

2018

Applied Computer Systems

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Production networks have been established in many industrial domains with globalized supply structures, sourcing strategies or cooperation environments. Knowledge management in such networks requires a context-oriented approach in order to accommodate for individual and organizational needs when providing relevant knowledge for complex tasks, such as value creation. The focus of this paper is on the procedure by which to determine what actually has to be taken into account as part of the ‘context’ for establishing context-oriented knowledge management, how to capture this context, and how to use it. The variability of organisational and individual tasks both at design time and at runtime is essential for understanding context in production networks. The main contribution of the present study is a context modelling method, including variability identification. The application of this method is demonstrated by using an example of a production network from automotive industries.

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“…They can transform implicit knowledge into explicit knowledge, providing benefits to many applicationsfor example, information retrieval systems (Lee et al, 2007;Xia et al, 2016) and Web search engines (Al-Rajebah and Al-Khalifa, 2010;Chiu and Pan, 2014). There have been many studies concerning topic map construction (Du et al, 2009;Santoso et al, 2011;Yao et al, 2013). However, existing topic map construction methods do not consider social information.…”

Section: Introductionmentioning

confidence: 99%

Considering social information in constructing research topic maps

Wang

Chiang

Huang

2018

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Purpose In academic work, it is important to identify a specific domain of research. Many researchers may look to conference issues to determine interesting or new topics. Furthermore, conference issues can help researchers identify current research trends in their field and learn about cutting-edge developments in their area of specialization. However, so much conference information is published online that it can be difficult to navigate and analyze in a meaningful or productive way. Hence, the use of knowledge management (KM) could be a way to resolve these issues. In KM, ontology is widely adopted, but most ontology construction methods do not consider social information between target users. Therefore, this study aims to propose a novel method of constructing research topic maps using an open directory project (ODP) and social information. Design/methodology/approach The approach is to incorporate conference information (i.e. title, keywords and abstract) as sources and to consider the ways in which social information automatically produces research topic maps. The methodology can be divided into four modules: data collection, element extraction, social information analysis and visualization. The data collection module collects the required conference data from the internet and performs pre-processing. Then, the element extraction module extracts topics, associations and other basic elements of topic maps while considering social information. Finally, the results will be shown in the visualization module for researchers to browse and search. Findings The results of this study propose three main findings. First, creating topic maps with the ODP category information can help capture a richer set of classification associations. Second, social information should be considered when constructing topic maps. This study includes the relationship among different authors and topics to support information in social networks. By considering social information, such as co-authorship/collaborator, this method helps researchers find research topics that are unfamiliar but interesting or potential cooperative opportunities in the future. Third, this study presents topic maps that show a clear and simple pathway in interested domain knowledge. Research limitations implications First, this study analyzes and collects conference information, including the titles, keywords and abstracts of conference papers, so the data set must include all of the abovementioned information. Second, social information only analyzes co-authorship associations (collabship associations); other social information could be extracted in the future study. Third, this study only analyzes the associations between topics. The intensity of associations is not discussed in the study. Originality/value The study will have a great impact on learned societies because it bridges the gap between theory and practice. The study is useful for researchers who want to know which conferences are related to their research. Moreover, social networks can help researchers expand and diversify their research.

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Multi-perspective modeling: managing heterogeneous manufacturing knowledge based on ontologies and topic maps

Cited by 6 publications

References 39 publications

Mapping the links between Industry 4.0, circular economy and sustainability: a systematic literature review

Mapping the links between Industry 4.0, circular economy and sustainability: a systematic literature review

Context-oriented Knowledge Management in Production Networks

Considering social information in constructing research topic maps

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