Virtual metrology as an approach for product quality estimation in Industry 4.0: a systematic review and integrative conceptual framework

AbstractCOVID-19 outbreak has heavily impacted the manufacturing industry, including Brazilian Automotive Industry. The effects of COVID-19 created restrictions in several industry processes as supply chain. On the other hand, several industry 4.0 technologies is able to support the industry supply chain activities in the COVID 19 scenarios, as well it may contributed for the automotive industry recovery and it will define the next steps of this industry. A supply chain is a network between a company and its suppliers to produce and distribute a specific product to the final buyer. Industry 4.0 is related to the technology development and the digitalization process that improve significantly productivity. Considering the automotive process, an important reference model is described in Advanced Product Quality Planning and Control Plan, that is a manual that communicate the guidelines of the product quality planning and control plan for internal and external suppliers. In this scenario, this paper evaluated the current situation and the future outlook for the adoption of Industry 4.0 technologies in the automotive OEM post-pandemic scenario on the point of view of automotive specialists. The results of this research provide an overview of the current situation and the future outlook for the usage of Industry 4.0 technologies by the Brazilian Northeast automotive OEM, from the perspective of manufacturing engineering experts on APQP.

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Local Productive Systems’ Transitions to Industry 4.0+

Sustainability ◽

10.3390/su132313052 ◽

2021 ◽

Vol 13 (23) ◽

pp. 13052

Author(s):

Marco Bellandi ◽

Lisa De Propris

Keyword(s):

Technological Change ◽

Conceptual Framework ◽

Industry 4.0 ◽

Industrial Revolution ◽

National Level ◽

Sustainability Transitions ◽

Fourth Industrial Revolution ◽

Productive Systems

The paper is positioned in the emerging debate on the technological change brought about by the Fourth Industrial Revolution, often referred to as Industry 4.0. Our analysis is at the local, sub-national level. The aim is to explore what drivers and barriers local productive systems might face when seeking to embark on transitions that reconcile smart, equitable, and sustainable priorities, under enhanced models called Industry 4.0+. The novelty of the paper is to develop such models by designing a conceptual framework that juxtaposes the drivers and the barriers of sustainability transitions with local productive systems. This novel framework suggests possible pathways that local productive systems can initiate to achieve more equitable and green outcomes for their economy and society by directing the development of digital-related solutions.

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Quality 4.0 - Transparent Product Quality Supervision in the Age of Industry 4.0

Advances in Intelligent Systems and Computing - Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry ◽

10.1007/978-3-030-69367-1_5 ◽

2021 ◽

pp. 54-66

Author(s):

Jens Brandenburger ◽

Christoph Schirm ◽

Josef Melcher ◽

Edgar Hancke ◽

Marco Vannucci ◽

...

Keyword(s):

Product Quality ◽

Industry 4.0

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Methodology in the Mirror: a Living, Systematic Review of Works in Quantitative Ethnography

10.31234/osf.io/qs3nw ◽

2021 ◽

Author(s):

Szilvia Zörgő ◽

Gjalt - Jorn Ygram Peters ◽

Clare Porter ◽

Marcia Moraes ◽

Savannah Donegan ◽

...

Keyword(s):

Systematic Review ◽

Data Collection ◽

Conceptual Framework ◽

Research Design ◽

Qualitative Methodology ◽

Lingua Franca ◽

Segmentation Analysis ◽

Shed Light

Quantitative Ethnography is a nascent field now formulating the specifics of its conceptual framework and terminology for a unified, quantitative – qualitative methodology. Our living, systematic review aims to shed light on decisions in research design that the community has made thus far in the domain of data collection, coding & segmentation, analysis, and how Quantitative Ethnography as a methodology is conceptualized. Our analysis intends to spur discussions on these issues within the community and help establish a lingua franca.

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Proposing micro-macro HRM strategies to overcome challenges of workforce diversity and deviance in ASEAN

Journal of Management Development ◽

10.1108/jmd-11-2016-0264 ◽

2018 ◽

Vol 37 (1) ◽

pp. 6-26 ◽

Cited By ~ 3

Author(s):

Pooja Malik ◽

Usha Lenka ◽

Debashish Kumar Sahoo

Keyword(s):

Systematic Review ◽

Conceptual Framework ◽

Design Methodology ◽

Southeast Asian ◽

Workplace Deviance ◽

Workforce Diversity ◽

Review Of Literature ◽

Content Type ◽

Proposed Model ◽

Key Word

Purpose The purpose of this paper is to propose a conceptual framework associating globalization, workforce diversity, and deviance and suggest micro-macro HRM strategies to overcome challenges associated with the workforce diversity and workplace deviance. Design/methodology/approach A systematic review of literature of past 25 years was carried out with the key word “globalization, workforce diversity, and deviance” from several electronic databases. Findings Findings propose micro-macro HRM strategies to be adopted by HR practitioners in Association of Southeast Asian Nations (ASEAN) organizations to manage workforce diversity and deviance in the age of globalization. Research limitations/implications The challenges due to workforce diversity may get worse because ASEAN is more incongruent in terms of phases of economic, social, cultural, and political advancement. Therefore, proposed model can be tested and compared in different ASEAN organizations. Originality/value There is a dearth of literature associating globalization, workforce diversity, and deviance. This paper bridges this gap by proposing a conceptual framework in the ASEAN context and suggests micro-macro HRM strategies to be adopted by HRM practitioners to overcome associated challenges with workforce diversity and deviance.

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Total quality management 4.0: adapting quality management to Industry 4.0

The TQM Journal ◽

10.1108/tqm-10-2020-0238 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Fabiane Florencio de Souza ◽

Alana Corsi ◽

Regina Negri Pagani ◽

Giles Balbinotti ◽

João Luiz Kovaleski

Keyword(s):

Systematic Review ◽

Quality Management ◽

Industry 4.0 ◽

Ecosystem Model ◽

Future Research ◽

Total Quality ◽

Review Of The Literature ◽

Content Type ◽

Industrial Sectors ◽

Data Collections

PurposeThe purpose of this article is to explore the new concept of TQM 4.0 as a way of adapting quality management (QM) in Industry 4.0 (I4.0), guiding industries to this new phase, which has generated adaptations in numerous areas, one of which is QM and human resources.Design/methodology/approachA systematic review of the literature was carried out. Methodi Ordinatio was applied to build the portfolio of articles with scientific relevance, which is the source of data collections and content analysis. To help out in the analysis, NVivo 12 and VOSviewer software programs were used.FindingsThe results demonstrate that when adapting the QM to the technologies of I4.0, the result is an ecosystem that supports the integration between technology, quality and people in the industrial scenario.Research limitations/implicationsThis article presents a systematic review of the literature, but without delving into specific issues such as the different industrial sectors and the culture of countries in which industries may be inserted, for example, which characterizes a limitation of this research.Practical implicationsThis study provides an ecosystem model that can guide future research, regarding the concept of TQM 4.0, in addition to pointing out some ways of combining technologies, quality and people in the industrial context.Originality/valueThis is one of the first articles to employ a systematic review of the literature using Methodi Ordinatio to build a bibliographic panorama on the intertwining of the themes total QM (TQM) and I4.0, focusing on the emerging concept of TQM 4.0.

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Smart Manufacturing and Industry 4.0: A Preliminary Approach in Structuring a Conceptual Framework

WSEAS TRANSACTIONS ON ADVANCES in ENGINEERING EDUCATION ◽

10.37394/232010.2021.18.3 ◽

2021 ◽

Vol 18 ◽

pp. 27-36

Author(s):

Eleni Didaskalou ◽

Petros Manesiotis ◽

Dimitrios Georgakellos

Keyword(s):

Conceptual Framework ◽

Concept Mapping ◽

Industry 4.0 ◽

Concept Maps ◽

Production Systems ◽

Software Tool ◽

Smart Manufacturing ◽

Future Research ◽

Key Concepts ◽

Comprehensive Framework

Engineering concepts usually, are complex concepts, thus many times are difficult for infusing into curriculums or to be comprehensive for practitioners. A concept that still now is not fully understandable is that of Industry 4.0, an approach that increases the complexity of production systems. Nowadays production systems are facing new challenges, as physical productions systems and internet technologies are directly linked, hence increasing the complexity but also the productivity of the systems. The paper introduces an approach of visualizing the concept of smart manufacturing in the context of Industry 4.0, as the term is not clearly specified, although has attracted attention both academicians and businesses. Concept mapping is a method of capturing and visualizing complex ideas. Concept maps are graphical tools for organizing, representing and communicating complex ideas by breaking them into more key concepts. As Industry 4.0 is a factor that can boost innovation and competitiveness of business, all parties involved in shaping the strategy of an organization, should perceive the issues to be covered. Furthermore, learners must be prepared to meet these challenges and knowledgebuilding activities may enhance their process of learning. The paper makes an interesting and valuable contribution, by identifying key concepts within the subject of smart manufacturing and Industry 4.0, using the method of concept mapping. Taking into consideration these concepts a conceptual framework will be introduced, by using the software tool CmapTools. The map can be used as a basis for future research in constructing a more comprehensive framework and identifying the concepts that describe smart manufacturing in the context of Industry 4.0, in a more thorough manner.

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