Insertion of sustainability performance indicators in an industry 4.0 virtual learning environment

Chaim, Omar Cheidde; Muschard, Bernd; Cazarini, Edson Walmir; Rozenfeld, Henrique

doi:10.1016/j.promfg.2018.02.143

Cited by 46 publications

(28 citation statements)

References 7 publications

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“…It has been determined that an intrinsic relationship exists between the reviewed works on the economic and environmental aspects of sustainability, while the social aspect appears to be the least addressed approach. Here, it is necessary to highlight the difficulty in designing sustainability indicators because of the unconstrained nature of the social factor, which transcends to companies towards suppliers, customers, and manufacturers [38]. Social issues can rely on indicators such as emissions, working conditions, and publicity/social acceptance.…”

Section: Discussionmentioning

confidence: 99%

“…Chaim et al [38] discussed the possibility of incorporating key performance indicators (KPIs) to evaluate sustainability in a virtual learning environment in the I4.0 context. Indicators were based on the classification offered in the work of [61], which consisted of classifying sustainability indicators in environmental stewardship (emissions, pollution, and resource consumption) and social well-being (employee, customer, and community).…”

Section: Taxonomymentioning

confidence: 99%

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A General Outline of a Sustainable Supply Chain 4.0

2020

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This article presents a literature review to identify the current knowledge of supply chains 4.0 from the sustainability perspective. Reviewed papers were classified in terms of objectives, results, and sustainability approaches. Additionally, a critical discussion with the main results and recommendations for further research was carried out. Manufacturing supply chains have been contemplated but agri-food supply chains and chains related to diversified cropping systems have been also considered. In this way, 54 articles were identified and revised, and were classified according to the three main aspects of sustainability: economic, social, and environmental. The classification of articles indicated that more attention has been paid to the environmental aspect in the industry 4.0 (I4.0) context in the literature, while the social aspect has been paid less attention. Finally, reference frameworks were identified, along with the I4.0 models, algorithms, heuristics, metaheuristics, and technologies, which have enabled sustainability in supply chains.

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Section: Discussionmentioning

confidence: 99%

Section: Taxonomymentioning

confidence: 99%

A General Outline of a Sustainable Supply Chain 4.0

2020

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“…The empirical findings of scientists agree that the human worker will continue to be an important part of the organization and the link between real and virtual assets [94][95][96][97][98]. Digital and smart factories continue to depend on people as key operators rather than becoming unmanned autonomous factories [94,97].…”

Section: The Human Rolementioning

confidence: 99%

“…In order to prepare employees on those upcoming challenges, researchers developed so-called learning factories for practical training [50,51,[97][98][99][101][102][103][104][105][106][107][108][109][110]. Their aim is to transfer the knowledge of theoretical research into the shop floor and to prepare workers and students.…”

Section: Learning Factoriesmentioning

confidence: 99%

Industry 4.0: A Technological-Oriented Definition Based on Bibliometric Analysis and Literature Review

Rupp

Schneckenburger

Merkel

et al. 2021

Journal of Open Innovation: Technology, Market, and Complexity

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Industry 4.0 was introduced in 2011 and since then has been perceived in multiple ways such as a vision, a paradigm, a scenario or as a digital revolution in production and service organizations. Even though Industry 4.0 is associated with great improvements for companies, there is still a lack of a uniform definition of the term Industry 4.0, especially when it comes to the transfer of knowledge from theoretical research to the implementation in organizations, which leads to confusion and disaffirmation. The lack of a clear structure and a holistic definition of the research topic Industry 4.0 inhibits the development of new business areas and new research approaches. To target this fundamental gap, a methodology is developed and the 338 most relevant publications are analyzed in the database of ScienceDirect starting from 2015. Based on those publications, the field of Industry 4.0 is structured. A consistent and comprehensive definition for Industry 4.0 is introduced by using a bibliometric analysis. Therefore, existing descriptions are decomposed into word fragments and analyzed. It is shown that this novel approach to find a definition for the term “Industry 4.0” does not yet exist. The aim is to provide a purely objective definition based on a statistical evaluation, without restricting the selection of publications to a specific research or business area. Based on those data, a new and ubiquitous definition of Industry 4.0 is formed, discussed and validated on practical examples.

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“…Industry 4.0 is a new concept that was mentioned for the first time in 2011 at the Hannover Fair in Germany (Santos and Jorge 2017). The industrial era 4.0 promises to increase manufacturing flexibility (Zhong et al, 2017), but one thing that must not be forgotten is that there must be an assessment of sustainability in the manufacturing context (Chaim et al, 2018), because manufacturing in the industrial era 4.0 has unique potential for unlocking environmentally friendly manufacturing (de Sousa Jabbour et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Triggers of Muhammadiyah Teachers Commitment to Develop The Quality of School

Sukirman¹

2020

Educational Administration

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This study aims to look at various components triggering the commitment of Muhammadiyah teachers in developing the quality of Muhammadiyah schools. This research uses a quantitative method involving 60 elementary school teachers with a varied work period. The analysis used is multiple regression analysis to measure the independent variable on the dependent variable. The results of this study state that the relative advantage, compatibility, trialability, ease of development, ease of work, result demonstrability, image, and voluntariness variables can predict the commitment of teachers in developing the quality of Muhammadiyah elementary schools with an F value of 23,717 and a probability value of 0,000 . Meanwhile, of the eight variables, only the compatibility and voluntariness variables have a significant influence with the probability values of 0.036 and 0,000.

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Insertion of sustainability performance indicators in an industry 4.0 virtual learning environment

Cited by 46 publications

References 7 publications

A General Outline of a Sustainable Supply Chain 4.0

A General Outline of a Sustainable Supply Chain 4.0

Industry 4.0: A Technological-Oriented Definition Based on Bibliometric Analysis and Literature Review

Triggers of Muhammadiyah Teachers Commitment to Develop The Quality of School

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