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The ebook edition of this title is Open Access and freely available to read online. Smart Industry, Better Management explores concepts in future-proofing industrial and product systems, use of cyber physical systems, digitization, interconnectivity, and new manufacturing and product technologies.
The ebook edition of this title is Open Access and freely available to read online. Smart Industry, Better Management explores concepts in future-proofing industrial and product systems, use of cyber physical systems, digitization, interconnectivity, and new manufacturing and product technologies.
Offering researchers and professionals cutting-edge research and practical guidelines to turn the challenging scenario of Industry 4.0 into a successful transformation for the HRM domain, this volume focuses on three critical insights: HRM in the 4.0 era, job design for the smart economy, and HRM tools for digital transformation.
In today's rapidly evolving world, the field of Human Resources Management (HRM) faces unprecedented challenges, exacerbated by the transformative impacts of economic innovations, technological advancements, and the global Covid-19 pandemic. Academic scholars grapple with understanding and navigating these complexities, seeking comprehensive resources to illuminate the theoretical underpinnings and practical implications of modern HRM practices. However, amidst the vast array of studies and evolving paradigms, there exists a pressing need for a consolidated source that not only elucidates the foundational principles of HRM but also delves into its contemporary applications and future trajectories. Economic Innovations and Technological Developments in HRM emerges as a definitive solution to this pervasive problem, offering a comprehensive guide and reference for scholars navigating the intricate landscape of HRM theory and practices. By synthesizing existing research and examining the transformative impacts of economic innovations, technological advancements, and the Covid-19 pandemic on HRM, this book provides invaluable insights into the evolving nature of employee management strategies and organizational dynamics.
As decision-makers apply digitalization in global cities to achieve their SDG goals, contributors from around the world here shed light on forthcoming developments in Smart Cities, and set out how to plan for increasingly rapid changes,
New tools for managing complexity Does your organization manage complexity by making things more complicated? If so, you are not alone. According to The Boston Consulting Group’s fascinating Complexity Index, business complexity has increased sixfold during the past sixty years. And, all the while, organizational complicatedness—that is, the number of structures, processes, committees, decision-making forums, and systems—has increased by a whopping factor of thirty-five. In their attempt to respond to the increasingly complex performance requirements they face, company leaders have created an organizational labyrinth that makes it more and more difficult to improve productivity and to pursue innovation. It also disengages and demotivates the workforce. Clearly it’s time for leaders to stop trying to manage complexity with their traditional tools and instead better leverage employees' intelligence. This book shows you how and explains the implications for designing and leading organizations. The way to manage complexity, the authors argue, is neither with the hard solutions of another era nor with the soft solutions—such as team building and feel-good “people initiatives”—that often follow in their wake. Based on social sciences (notably economics, game theory, and organizational sociology) and The Boston Consulting Group’s work with more than five hundred companies in more than forty countries and in various industries, authors Yves Morieux and Peter Tollman recommend six simple rules to manage complexity without getting complicated. Showing why the rules work and how to put them into practice, Morieux and Tollman give managers a much-needed tool to reinvigorate people in the face of seemingly endless complexity. Included are detailed examples from companies that have achieved a multiplicative effect on performance by using them. It’s time to manage complexity better. Employ these six simple rules to foster autonomy and cooperation and to effectively handle business complexity. As a result, you will improve productivity, innovate more, reengage your workforce, and seize opportunities to create competitive advantage.
"This book examines agile leadership methods in the 4.0 digitalized era"--
The two-volume set IFIP AICT 535 and 536 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2018, held in Seoul, South Korea, in August 2018. The 129 revised full papers presented were carefully reviewed and selected from 149 submissions. They are organized in the following topical sections: lean and green manufacturing; operations management in engineer-to-order manufacturing; product-service systems, customer-driven innovation and value co-creation; collaborative networks; smart production for mass customization; global supply chain management; knowledge based production planning and control; knowledge based engineering; intelligent diagnostics and maintenance solutions for smart manufacturing; service engineering based on smart manufacturing capabilities; smart city interoperability and cross-platform implementation; manufacturing performance management in smart factories; industry 4.0 - digital twin; industry 4.0 - smart factory; and industry 4.0 - collaborative cyber-physical production and human systems.
World-renowned economist Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolu­tion, which will fundamentally alter how we live and work. Schwab argues that this revolution is different in scale, scope and complexity from any that have come before. Characterized by a range of new technologies that are fusing the physical, digital and biological worlds, the developments are affecting all disciplines, economies, industries and governments, and even challenging ideas about what it means to be human. Artificial intelligence is already all around us, from supercomputers, drones and virtual assistants to 3D printing, DNA sequencing, smart thermostats, wear­able sensors and microchips smaller than a grain of sand. But this is just the beginning: nanomaterials 200 times stronger than steel and a million times thinner than a strand of hair and the first transplant of a 3D printed liver are already in development. Imagine “smart factories” in which global systems of manu­facturing are coordinated virtually, or implantable mobile phones made of biosynthetic materials. The fourth industrial revolution, says Schwab, is more significant, and its ramifications more profound, than in any prior period of human history. He outlines the key technologies driving this revolution and discusses the major impacts expected on government, business, civil society and individu­als. Schwab also offers bold ideas on how to harness these changes and shape a better future—one in which technology empowers people rather than replaces them; progress serves society rather than disrupts it; and in which innovators respect moral and ethical boundaries rather than cross them. We all have the opportunity to contribute to developing new frame­works that advance progress.
Max Hoffmann describes the realization of a framework that enables autonomous decision-making in industrial manufacturing processes by means of multi-agent systems and the OPC UA meta-modeling standard. The integration of communication patterns and SOA with grown manufacturing systems enables an upgrade of legacy environments in terms of Industry 4.0 related technologies. The added value of the derived solutions are validated through an industrial use case and verified by the development of a demonstrator that includes elements of self-optimization through Machine Learning and communication with high-level planning systems such as ERP. About the Author: Dr.-Ing. Max Hoffmann is a scientific researcher at the Institute of Information Management in Mechanical Engineering, RWTH Aachen University, Germany, and leads the group “Industrial Big Data”. His research emphasizes on production optimization by means of data integration through interoperability and communication standards for industrial manufacturing and integrated analysis by using Machine Learning and stream-based information processing.