Manufacturing system and enterprise management for Industry 4.0: Guest editorial

Industry 4.0 (I4.0) represents a significant step in the processes transformation in practically every industry, where the smart concept emerges in autonomous decisions and cyber-physical systems based production systems [1]. The role played by the usually referred technological pillars of I4.0 (such as internet of things (IoT), horizontal and vertical system integration, simulation, autonomous robots, big data and analytics, augmented reality, additive manufacturing, cloud computing and cybersecurity), based on technological advancements (mainly Information and Communications Technology (ICT)), in adhering to I4.0, are well known by the industry and academia (attending the huge number of research papers available), and have being implemented with more or less success. Notwithstanding the significant expected opportunities and impact of the fourth industrial revolution identified by researchers, experts are not convinced that the changes will be as significant as forecasted [2 - 4]. According to [5], only rare and recent attempts to understand the critical success factors of I4.0 implementation in manufacturing companies can be found in literature. A few recent studies reviewed in [5], point out that some of the critical factors are related to the management for I4.0. Cumulatively, the research in the field of management for I4.0, is still scarce, compared with the research on technologies for I4.0. The title of this Special Issue “Manufacturing System and Enterprise Management for Industry 4.0” is aligned with that concern and its content should be seen as a contribution to overcome management deficit problem of I4.0 implementation success. Nowadays, the challenges are related to the way how I4.0 is implemented and managed, in order to achieve the desired outcomes, economic, environmental, and social.First, our acknowledgments and greatest thanks go to Professor Bosko Rasuo, Editor-in-Chief of the FME Transactions, for his highest support and professionalism and, more importantly, his highest collaboration, understanding and patience during the development of this Special Issue. Next, our acknowledgments go to the authors, for their contributions and collaboration, and to the reviewers, for their great effort during the review process and for the suggestions they provided to the authors. Acknowledgments go also to our institutions, University of Minho and Polytechnic of Porto, and to the Research centres within which this project on this Special Issue has been developed, namely to ALGORITMI Research Center of the University of Minho and INESC TEC - Institute for Systems and Computer Engineering, Technology and Science. The guest editors want to acknowledge as well that this work has been supported by FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020.info:eu-repo/semantics/publishedVersio

Special issue on 'Dark side of information technology use':an introduction and a framework for research

We introduce the Special Issue on “Dark Side of Information Technology Use”. We first provide a brief summary of the literature and suggest a framework as guidance for future research on dark side phenomenon. We then comment on and characterize the papers presented in this Special Issue using this framework

Software Safety and Security Risk Mitigation in Cyber-Physical Systems

Cyber-physical systems (CPSs) offer many opportunities but pose many challenges--especially regarding functional safety, cybersecurity, and their interplay, as well as the systems\u27 impact on society. Consequently, new methods and techniques are needed for CPS development and assurance. This article [and issue] aims to address some of these challenges

Artificial Intelligence in Engineering Risk Analytics

Risks exist in every aspect of our lives, and can mean different things to different people. While negative in general they always cause a great deal of potential damage and inconvenience for stakeholders. Recent engineering risks include the Fukushima nuclear plant disaster from the 2011 tsunami, a year that also saw earthquakes in New Zealand, tornados in the US, and floods in both Australia and Thailand. Earthquakes, tornados (not to mention hurricanes) and floods are repetitive natural phenomenon. But the October 2011 floods in Thailand were the worst in 50 years, impacting supply chains including those of Honda, Toyota, Lenovo, Fujitsu, Nippon Steel, Tesco, and Canon. Human-induced tragedies included a clothing factory fire in Bangladesh in 2012 that left over 100 dead. Wal-Mart and Sears supply chains were downstream customers. The events of Bhopal in 1984, Chernobyl in 1986, Exxon Valdez in 1989, and the Gulf oil spill of 2010 were tragic accidents. There are also malicious events such as the Tokyo Sarin attach in 1995, The World Trade Center and Pentagon attacks in 2001, and terrorist attacks on subways in Madrid (2004), London (2005), and Moscow (2010). The news brings us reports of such events all too often. The next step up in intensity is war, which seems to always be with us in some form somewhere in the world. Complex human systems also cause problems. The financial crisis resulted in recession in all aspects of the economy. Risk and analytics has become an important topic in today’s more complex, interrelated global environment, replete with threats from natural, engineering, economic, and technical sources (Olson and Wu, 2015)

Invited Paper: Editing Special Issues of JISE: Practical Guidance and Recommendations

The Journal of Information Systems Education (JISE) periodically publishes special issues on selected topics that are stimulating and highly relevant to its community of readers. This invited piece, written by three authors who collectively have substantial experience of editing special issues, provides practical advice and guidance aimed at their colleagues within the field, be they seasoned academics or up-and-coming junior faculty, who may be interested in taking on the role of lead guest editor for future special issues of JISE