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Avigdor Zonnenshain

Bio: Avigdor Zonnenshain is an academic researcher from Technion – Israel Institute of Technology. The author has contributed to research in topics: Advanced manufacturing & Software engineering. The author has an hindex of 4, co-authored 15 publications receiving 75 citations.

Papers
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Journal ArticleDOI
TL;DR: A framework for a quality discipline supporting the fourth industrial revolution is presented, proposed to call Quality 4.0 and it is claimed that these directions constitute a substantial basis to update the body of knowledge and practices of the quality profession.
Abstract: Quality is a crucial dimension of products and processes. It is considered a competitive advantage for companies and organizations in the global market. Quality models and practices went through se...

92 citations

Journal ArticleDOI
TL;DR: The paper provides a roadmap for the development of applied analytic techniques supporting advanced manufacturing and sustainability, and motivates researchers, practitioners and industrialists to support such a roadmap.

21 citations

Journal ArticleDOI
TL;DR: In this article, the authors present the case that since no innovation can succeed without good execution, companies must pay better attention to their projects and consider them together with innovation as two parts of the same process, the process of getting ideas to market.
Abstract: The exponential growth in technology and markets is forcing companies to intensify their innovation efforts and accelerate product introductions. As a result, more managers today are required to cope with a great deal of innovation in their projects. However, at this time, most innovation attempts still end up in disappointments. In fact, successful innovation is a risky endeavor, frequently plagued by high levels of uncertainty and risk, and further compounded by today's disruption trends. This article presents the case that, since no innovation can succeed without good execution, companies must pay better attention to their projects and consider them together with innovation as two parts of the same process—the process of getting ideas to market. This article offers a single comprehensive framework, combining the main principles of innovation and project management. The framework may be used by business executives, innovation champions, and project teams. It demonstrates how previous ideas, often used separately, could now be merged, to better focus on the critical issues in an innovative, often disruptive environment. We provide empirical evidence from qualitative and quantitative studies, which demonstrate how a combined approach could lead project and innovation teams to more effective execution and better business outcomes .

11 citations


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TL;DR: Deming's theory of management based on the 14 Points for Management is described in Out of the Crisis, originally published in 1982 as mentioned in this paper, where he explains the principles of management transformation and how to apply them.
Abstract: According to W. Edwards Deming, American companies require nothing less than a transformation of management style and of governmental relations with industry. In Out of the Crisis, originally published in 1982, Deming offers a theory of management based on his famous 14 Points for Management. Management's failure to plan for the future, he claims, brings about loss of market, which brings about loss of jobs. Management must be judged not only by the quarterly dividend, but by innovative plans to stay in business, protect investment, ensure future dividends, and provide more jobs through improved product and service. In simple, direct language, he explains the principles of management transformation and how to apply them.

9,241 citations

Journal ArticleDOI
TL;DR: A framework for a quality discipline supporting the fourth industrial revolution is presented, proposed to call Quality 4.0 and it is claimed that these directions constitute a substantial basis to update the body of knowledge and practices of the quality profession.
Abstract: Quality is a crucial dimension of products and processes. It is considered a competitive advantage for companies and organizations in the global market. Quality models and practices went through se...

92 citations

Journal ArticleDOI
TL;DR: The main purpose of as discussed by the authors is to analyse the current literature situation in terms of relationships between Industry 40 and quality management and TQM, and to understand what topics and issues can be considered the most relevant referring to the so-called Quality 40, what the literature is missing opening avenues for further research.
Abstract: The main purpose of this paper is to analyse the current literature situation in terms of relationships between Industry 40 and quality management and TQM The author wanted to understand what topics and issues can be considered the most relevant referring to the so-called Quality 40, what the literature is missing opening avenues for further research,This research employed a systematic literature review In total, 75 papers from different sources were reviewed using specific inclusion and exclusion criteria,Four categories of topics emerged, namely: creating value within the company through quality (big) data, analytics and artificial intelligence; developing Quality 40 skills and culture for quality people; customer value co-creation; cyber–physical systems and ERP for quality assurance and control This paper also tried to understand if there is a definition of Quality 40 based on determined methods,Systematic literature review could have introduced some limitations in terms of the number and reliability of reviewed papers Probably some interesting papers had been not intentionally missed,Consultants and managers in developing and implementing their own Quality 40 models could use many practical and discussed implications concerning I40 technologies and quality management,This is one of the first papers which employed the systematic literature review for researching Industry 40, quality management and TQM relationships

90 citations

Journal ArticleDOI
TL;DR: The European Foundation for Quality Management (EFQM) 2020 model is a comprehensive and updated business model that encompasses sustainability and shares features with Industry 4.0, emphasizing transformation and improved organizational performance, yet with different theoretical and practical foundations as discussed by the authors.
Abstract: The European Foundation for Quality Management (EFQM) 2020 model is a comprehensive and updated business model that encompasses sustainability and shares features with Industry 4.0, emphasizing transformation and improved organizational performance, yet with different theoretical and practical foundations. This research highlights the EFQM 2020 model’s novelties and its relationships/implications with the Industry 4.0 paradigm, contributing to the Quality 4.0 body of knowledge. Several linkages between the EFQM 2020 model and Industry 4.0 have been identified, namely, at the criteria level and guidance points, which can support successful digital transformation by combining quality and excellence with Industry 4.0. However, given the model’s generic and non-prescriptive nature, there is no specific reference to the nine Industry 4.0 pillars. Additionally, the links between direction and organizational culture and leadership criteria and driving performance and transformation are not evident, which might be a concern for business and technology transformation strategies. Managing knowledge, skills, and capabilities is critical for the successful adoption of Industry 4.0. The EFQM model adds a strategic and technologically unbiased perspective to Industry 4.0, providing an integrated business excellence framework for Quality 4.0. With empirical support of the model application, future research is recommended to develop this subject further.

82 citations

Journal ArticleDOI
TL;DR: In this paper, a study aimed at identifying industry 4.0 neologisms and illustrating the convergence of 12 disruptive technologies including 3D printing, artificial intelligence, augmented reality, big data, blockchain, cloud computing, drones, Internet of Things, nanotechnology, robotics, simulation, and synthetic biology in agriculture, healthcare, and logistics industries was illustrated.
Abstract: Very well into the dawn of the fourth industrial revolution (industry 4.0), humankind can hardly distinguish between what is artificial and what is natural (e.g., man-made virus and natural virus). Thus, the level of discombobulation among people, companies, or countries is indeed unprecedented. The fact that industry 4.0 is explosively disrupting or retrofitting each and every industrial sector makes industry 4.0 the famous buzzword amongst researchers today. However, the insight of industry 4.0 disruption into the industrial sectors remains ill-defined in both academic and nonacademic literature. The present study aimed at identifying industry 4.0 neologisms, understanding the industry 4.0 disruption and illustrating the disruptive technology convergence in the major industrial sectors. A total of 99 neologisms of industry 4.0 were identified. Industry 4.0 disruption in the education industry (education 4.0), energy industry (energy 4.0), agriculture industry (agriculture 4.0), healthcare industry (healthcare 4.0), and logistics industry (logistics 4.0) was described. The convergence of 12 disruptive technologies including 3D printing, artificial intelligence, augmented reality, big data, blockchain, cloud computing, drones, Internet of Things, nanotechnology, robotics, simulation, and synthetic biology in agriculture, healthcare, and logistics industries was illustrated. The study divulged the need for extensive research to expand the application areas of the disruptive technologies in the industrial sectors.

77 citations