Advances in Performance Management and Measurement for Industrial Applications and Emerging Domains (eBook, PDF)

Proceedings of the Second Conference on Performance Management (COPERMAN)
Redaktion: Schiraldi, Massimiliano Maria; Fera, Marcello; De Carlo, Filippo

• Format: PDF

Produktbeschreibung

This book is a compilation of the papers presented at the COPERMAN 2023 conference, a meeting that bridges the gap between academia and industry in the field of performance management. This international conference brought together scientists and engineers from around the world to discuss and address many themes related to performance management, including the development of new methods and systems for performance measurement and management, the evaluation of human performance in various industrial contexts (including modern Industry 4.0 factory environments), and methodologies for business deployment.

The book is for academics, graduate students, researchers, and industrial practitioners working in performance management. Its comprehensive coverage of diverse topics and cutting-edge research will provide readers with insights and knowledge that can be applied in their daily work, as well as inspire new research directions and interdisciplinary collaboration.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 165
• Erscheinungstermin: 9. Oktober 2024
• Englisch
• ISBN-13: 9783031599309
• Artikelnr.: 71866490

Autorenporträt

Massimiliano Schiraldi, Ph.D., is a professor of Industrial Systems at the "Tor Vergata" University of Rome in Italy. He has been teaching in the School of Engineering since 2000 and is a visiting professor at Guizhou University in China and the University of Essex in the UK. In addition, he is a member of the doctoral board at the University of Limerick in Ireland, as well as the editor of two major scientific international journals. With more than 100 scientific contributions, he is a leading expert in the field of industrial systems. Filippo De Carlo, Ph.D., is an associate professor of Industrial Systems at the Department of Industrial Engineering at the University of Florence in Italy. He has been involved in several international and national projects and has authored more than 70 publications in international journals and conferences. His research interests include industrial plants engineering, maintenance, industrial safety and risk, and energy management. Marcello Fera, Ph.D., is an associate professor of Industrial Systems at the University of Campania Luigi Vanvitelli in Italy. He is a lecturer for undergraduate and post-graduate students at the University of Campania Luigi Vanvitelli and has authored more than 65 international publications in operations management and industrial systems Engineering. He serves on the editorial board of the International Journal of Industrial Engineering Computations, Cogent Engineering, and the International Journal on Interactive Design and Manufacturing. Marcello Fera is a leading scholar in his field, with a particular focus on the intersection of industrial engineering and computer science.

Inhaltsangabe

Objective Key Results and Their Role in Modern Performance Management: A Critical Analysis of Benefits, Challenges, and Integration with Traditional Tools.- Why and how responsible organisations are assessing their performance: state of the practice in ethical, social and environmental accounting.- The impact of venture capital on corporate social performance.- The impact of improving the fast fashion business model on organization performance: case study "Zara" Serbia.- The impact of solving barriers to the implementation of Quality 4.0 on the performance of the organization's operations.- OEE Review and Compatible Weighting Approach for OEE.- Leveraging Micro-enterprise sustainability (SDG 8 and 9) through lean manufacturing approach.- A conceptual framework for measuring the impact of LARG practices on logistics performance.- Design of a ML model in CRM to identify leads in an IT company.- Improving operator`s performance in a repetitive assembly industrial task.