Gisela Lanza – författare
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Using site-specific optimization approaches in international manufacturing networks is increasingly proving insufficient. To solve this problem, several holistic and integrated alternatives have been developed to reflect a global perspective. This book presents advances in the St. Gallen Global Manufacturing Network Model and its application in numerous industry-, benchmarking- and research projects. The contents combine data-driven solutions with qualitative management frameworks for the strategic optimization of international manufacturing networks.
In the first part, the book addresses the foundation of manufacturing network management and further describes the St. Gallen Operational Excellence approaches to manage plant performance. On this basis, the authors show how plant- and network-level performance can be enhanced via key improvement domains (e.g., strategy, configuration, coordination, performance management, digitalization). In turn, the second part demonstrates the application of the constructs in manufacturing companies from various industries. By combining research and practice, the book offers unique perspectives on the management of global production striving toward higher performance on manufacturing site and network level.
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This book provides an in-depth exploration of the latest advancements in sustainable manufacturing, as presented at the International Conference on Sustainable Manufacturing. The proceedings focus on three pivotal areas: the production of new energy vehicles (NEVs), production robots, and software-defined manufacturing.
The section on NEVs delves into innovations in battery technologies, lightweight materials, eco-friendly production processes, and sustainable sourcing, highlighting how these advancements reduce environmental impact and enhance efficiency.
The segment on production robots examines the integration of automation and robotics to boost productivity and sustainability, emphasizing energy-efficient systems, collaborative robots (cobots), quality control, and predictive maintenance.
The final part on software-defined manufacturing explores the digital transformation of manufacturing processes, discussing digital twins, the Industrial Internet of Things (IIoT), artificial intelligence, machine learning, cloud manufacturing, and cyber-physical systems. These technologies enable smarter, more adaptive, and sustainable manufacturing environments.
This comprehensive collection of research and practical applications is essential for academics, industry professionals, and policymakers committed to advancing sustainable manufacturing practices.
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