The incorporation of smart production in future factories within the fourth industrial revolution towards 2030

Industry 4.0 is impressively creating a lasting impact on the manufacturing industry and on the industry outlook on the benefits of the implementation of new technology. The concept currently trending entails merging cyber systems, the Internet of Things, and the Internet of Systems all together to construct the revolutionary ‘Smart Factories’. The use of advanced technologies brings about new methodologies to improve the results of manufacturing. Complex activities will be performed by machines equipped in using intelligent information systems and new technology to improve productivity, enhance quality, and reduce costs of manufacturing products. South Africa is at the height of the ‘Fourth Industrial Revolution’ (4IR) which will essentially change the way we work. This innovative rubric of high-tech modernisation is characterised by a merging of technologies from the physical, digital, biological, and neuro-technological spheres. The hesitation over jobs being substituted with co-bots, a robot envisioned to actually cooperate with humans in a communal workplace, is profound. Skills volatility is estimated to affect all industries. There are uncertainties that the underprivileged and non-skilled would be thrust into an even profounder deficiency with the upsurge of the digital age. Organisations regard robotics and modern technology as strategic corporate tools that are utilised to enhance short- and long-term profitability and achieve operating goals. In dissimilarity, the application of robotics and modern technology in the place of work increases labour stability concerns, anxiety of downsizings and terminations within the workforce. The purpose of this research was to heighten the comprehension of smart factories in the manufacturing industry by conclusively embracing a methodical examination of the factors which influence the outlook of those involved concerning smart factory implementation and also of assessing the readiness of the South African manufacturing industry for 4IR towards 2030. The ‘golden thread’ running through the study is the significance of the impact of the 4IR on the workforce and the creation of new jobs for the future, the reskilling of the workforce and the enhancement of capabilities of future factories in embracing the implementation and the incorporation of advanced manufacturing principles in production processes. This must form a substantial consideration in the preparation of the vision of the “Incorporation of smart production in future factories within the fourth industrial revolution towards 2030”. The results of the in-depth analysis of future studies practice and theory in this research study give credibility to the argument that the way in which planning for the future of the 4IR in the South African context is taking place requires insightful adaptation by all stakeholders. The development of new insights through the application of futures studies is vital to this planning process, as is progressively demonstrated in the propensity for present-day business to enable collaborative decisions and strategies that are established on, and informed by, futures studies. This research has attempted to gain insight into the possible future of the implementation of 4IR elements within the future manufacturing factories in South Africa through the creation of four scenarios towards 2030. These are defined as follows: The Fifth Element, which is the ‘best case’ scenario, and to which the country aspires; the ‘worst case’ scenario, in which everything goes badly; the outlier future founded on a surprising, disruptive, emerging matter; and ‘business as usual’ in which no change takes place. The research additionally made efforts to determine the preferred future for the 4IR from a South African perspective, as a base for the Future Vision of the 4IR in the South African manufacturing industry towards 2030. Throughout this study, Inayatullah’s (2008) pillars of futures studies were implemented as a guide in mapping the present and future, further deepening and widening the future through the development of scenarios and, lastly, by transforming the future by narrowing it down to the preferred future. The South African manufacturing sector must select which path to follow in the decisions surrounding the acceptance of the 4IR as the country progresses towards aligning itself with the global players in technology acceptance. Through a unique and innovative approach, the establishment of an atmosphere of trust and the sharing of purpose, values and benefits, a collective Future Vision of the implementing of 4IR elements such as smart production in future factories within South Africa towards 2030, is achievable. All stakeholders must be committed to operating in collaborative partnerships, with government, society, local communities and the workforce all treading boldly together into a sphere of technological, commercial, environmental and social innovation

Capital as Artificial Intelligence

This article examines science-fictional allegorizations of Soviet-style planned economies, financial markets, autonomous trading algorithms, and global capitalism writ large as nonhuman artificial intelligences, focussing primarily on American science fiction of the Cold War period. Key fictional texts discussed include Star Trek, Isaac Asimov\u27s Machine stories, Terminator, Kurt Vonnegut\u27s Player Piano (1952), Charles Stross\u27s Accelerando (2005), and the short stories of Philip K. Dick. The final section of the article discusses Kim Stanley Robinson\u27s novel 2312 (2012) within the contemporary political context of accelerationist anticapitalism, whose advocates propose working with “the machines” rather than against them

Autonomous Exchanges: Human-Machine Autonomy in the Automated Media Economy

Contemporary discourses and representations of automation stress the impending “autonomy” of automated technologies. From pop culture depictions to corporate white papers, the notion of autonomous technologies tends to enliven dystopic fears about the threat to human autonomy or utopian potentials to help humans experience unrealized forms of autonomy. This project offers a more nuanced perspective, rejecting contemporary notions of automation as inevitably vanquishing or enhancing human autonomy. Through a discursive analysis of industrial “deep texts” that offer considerable insights into the material development of automated media technologies, I argue for contemporary automation to be understood as a field for the exchange of autonomy, a human-machine autonomy in which autonomy is exchanged as cultural and economic value. Human-machine autonomy is a shared condition among humans and intelligent machines shaped by economic, legal, and political paradigms with a stake in the cultural uses of automated media technologies. By understanding human-machine autonomy, this project illuminates complications of autonomy emerging from interactions with automated media technologies across a range of cultural contexts

REBOOTING MASCULINITY AFTER 9/11: MALE HEROISM ON FILM FROM BUSH TO TRUMP

Conceptions of masculinity on film shifted after the September 11, 2001 terrorist attacks from representations of male heroism as invulnerable, powerful, and safe to representations of male heroism as resilient, vengeful, and vulnerable. At the same time, the antagonists of these films shifted towards representations as shadowy, unknowable, and disembodied. These changing representations, I argue, are windows into the anxieties Americans faced in the aftermath of the attacks. The continuing presentation of power as linked to violence, however, illustrates the ways in which conceptions of masculinity have stayed the same

Technology’s Influence on Federal Sentencing: Past, Present, and Future

The comprehensive reforms that govern today’s federal sentencing processes were fashioned nearly forty years ago. Those reforms were designed to address concerns regarding the effectiveness, transparency, and fairness of the preexisting indeterminant sentencing system. Today, criticisms are mounting against the very reforms that were once held out to save the sentencing process. The more determinant system is being accused of being biased against minorities, overly harsh, and costly. This Article explores how the criminal justice system might look to technology and build on the practical experience from the indeterminant and determinant systems. Tools such as Artificial Intelligence (AI) can help improve many aspects of the sentencing process and allow for continued learning. While some anxiously fear AI will serve as a robotic judge, it is better characterized as a tool that can enhance human decision making. In the sentencing context, the technology can make sentencing more informed, with greater safeguards against abuse, faster and more impactful relative to the goals for sentencing established by Congress and expected by the public

Why Do Humans Imagine Robots?

This project analyzes why people are intrigued by the thought of robots, and why they choose to create them in both reality and fiction. Numerous movies, literature, news articles, online journals, surveys, and interviews have been used in determining the answer

Centers of Excellence: A Catalogue

This report summarizes information on State-sponsored 'Centers of Excellence' gathered during a survey of State programs in the Fall of 1987. For the purposes of this catalog, 'Centers of Excellence' refers to organizations or activities with the following characteristics: institutionalized, focused, cooperative Research and Development (R&D) programs; supported in part by State governments, in addition to universities, industry and (in some cases) Federal agencies; performed by teams that may include both industry and university employees; and concentrated on relatively specific R&D agendas, usually with near term commercial or governmental applicability. Most of these activities involve state-of-the-art advancement of new technologies under conditions leading to early practical applications. Not included in this catalog are project-level matching grant programs. The principal purpose of this catalog is to help NASA program management, at all levels. to identify and where appropriate, to initiate relationships with other technology-developing organizations. These State-sponsored programs should be of particular interest, because: they present an opportunity to leverage NASA's R&D investments; they are concentrated at the frontier, yet have a concern for practical applications; and they involve industrial participation under conditions that increase the probability of prompt, widespread dissemination in the form of new or enhanced commercial products, processes, or services

Requirements Engineering

Requirements Engineering (RE) aims to ensure that systems meet the needs of their stakeholders including users, sponsors, and customers. Often consid- ered as one of the earliest activities in software engineering, it has developed into a set of activities that touch almost every step of the software development process. In this chapter, we reflect on how the need for RE was first recognised and how its foundational concepts were developed. We present the seminal papers on four main activities of the RE process, namely (i) elicitation, (ii) modelling & analysis, (iii) as- surance, and (iv) management & evolution. We also discuss some current research challenges in the area, including security requirements engineering as well as RE for mobile and ubiquitous computing. Finally, we identify some open challenges and research gaps that require further exploration