Structural Complexity Management

Product design is characterized by a steady increase in complexity. The main focus of this book is a structural approach on complexity management. This means, system structures are considered in order to address the challenge of complexity in all aspects of product design. Structures arise from the complex dependencies of system elements. Thus, the identification of system structures provides access to the understanding of system behavior in practical applications. The book presents a methodology that enables the analysis, control and optimization of complex structures, and the applicability of domain-spanning problems. The methodology allows significant improvements on handling system complexity by creating improved system understanding on the one hand and optimizing product design that is robust for system adaptations on the other hand. Developers can thereby enhance project coordination and improve communication between team members and as a result shorten development time. The practical application of the methodology is described by means of two detailed examples.

This book presents the results of several years’ research work on how to characterize complexity in engineering design with a specific regard to dependency modeling. The 52 complexity metrics that are presented show different facets of how complexity takes shape in design processes. The metrics are supported by a modeling method and a measurement framework to employ the metrics in a goal-oriented manner. The detailed description of all involved metrics and models makes it possible to apply the analysis approach to common process modeling methodologies. Three case studies from automotive process management illustrate the application to facilitate the transfer to other cases in an industrial context. The comprehensive appendix supplies additional details and checklists for structural analysis to generate a complete overview of current means of structural analysis.

The treatise supports understanding the phenomena of complexity in engineering, distinguishes complexity from other challenges and presents an overview of definitions and applied approaches.The historical background of complexity management is explained by highlighting the important epochs, their key actors and their discoveries, findings and developments. Knowing about the appearance of early system awareness in ancient Greece, the creation of mechanical philosophy in the 17th century and the discovery of classic physics enables the reader to better comprehend modern system sciences and management approaches.A classification of complexity management approaches by research fields indicates current focus areas and starting points for future discussions. In a comprehensive map, the classification points out mutual overlaps between engineering disciplines in terms of similar complexity management approaches.Finally, the treatise introduces a generic complexity management framework, which is based on structural management approaches.

This book covers complex software engineering projects, new paradigms for system development, object-orientated design and formal methods, project management and automation perspectives.

Supply chains are faced with a rising complexity with manifold effects. Because of the strong link between a supply chain's complexity and its efficiency, supply chain complexity management becomes a major challenge of today's business management. Therefore logistics and the supply chain management can play a significant role in mastering and managing complexity. The new book, edited by Thorsten Blecker and Wolfgang Kersten, is exemplifying the current progress in complexity management. Separate chapters are dedicated to clarify complexity management in transportation, networks and supply chains. It offers important insights of global and flexible network modelling to manage complexity, complexity in supply chains - developing human resource strategy, performance measurement of green supply chain management, complexity in transportation by means of containers and air-cargos. The volume, written by well-known experts of supply chain management from all over the world, shows applicable solutions, practical examples and use cases to illustrate complexity management and its application in logistics and supply chain management. It presents the central perspectives for a modern complexity management in supply chains. Therefore the book offers a fundamental understanding for workable complexity management concept their implementation to practitioners. The book offers fundamental insights into actual problems of an general complexity management concept and their implementation to practitioners in industry, logistics, management, service sector, research and apprenticeship. In addition to this it gives a valuable insight to the status of complexity management also for lecturers and students.

Managing Complexity is the first book that clearly defines the concept of Complexity, explains how Complexity can be measured and tuned, and describes the seven key features of Complex Systems: ConnectivityAutonomyEmergencyNonequilibriumNon-linearitySelf-organisationCo-evolution The thesis of the book is that complexity of the environment in which we work and live offers new opportunities and that the best strategy for surviving and prospering under conditions of complexity is to develop adaptability to perpetually changing conditions. An effective method for designing adaptability into business processes using multi-agent technology is presented and illustrated by several extensive examples, including adaptive, real-time scheduling of taxis, see-going tankers, road transport, supply chains, railway trains, production processes and swarms of small space satellites. Additional case studies include adaptive servicing of the International Space Station; adaptive processing of design changes of large structures such as wings of the largest airliner in the world; dynamic data mining, knowledge discovery and distributed semantic processing. Finally, the book provides a foretaste of the next generation of complex issues, notably, The Internet of Things, Smart Cities, Digital Enterprises and Smart Logistics.

The Newtonian mindset has dominated the entire human world for more than three centuries. It has provided the necessary knowledge, theories and conceptual foundation that supported the industrial revolution, hierarchical leadership and governance, deliberate planning and strategy, and operational control of all organizations. However, over the last few decades, constraints and incoherency are emerging due to new accelerants and elevating complexity density. The new situation and dynamics, and the multi-dimensional changes require a fresh thinking and deeper comprehension that is beyond the boundaries of the exact sciences. As the continuality of human existence requires a new global order to be established, a paradigmatic shift is essential. This book provides the foundation for nurturing the new intelligence mindset that is critical in the present context. Fundamentally, the intelligence mindset encompasses intelligence/consciousness-centricity, complexity-centricity, network-centricity and stability-centricity, and constructionist thinking as its foundation pillars. The conceptual foundation of this new paradigmatic shift is presented as the intelligent organization theory, and the theory of relativistic complexity. The intelligent organization theory (encompassing iCAS, iCAD, self-centricity, stability-centricity, organizing around intelligence, localized order,..., mental cohesion) also provides a conceptual foundation to certain thinking and dynamics associated with Brexit and the current US under President Donald Trump. Request Inspection Copy