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This book aims to provide recent achievements in the efficient design and operation of industrial and logistics systems. To achieve excellence, digital transformation is currently an essential path for systems reengineering. This path is still in an exploratory phase for industrial and logistics systems, as they cover a wide range of sectors and are composed of several complementary views.
Thus, this book reconciles classic methods with modern ones based on digital transformation and Industry 4.0 technologies, which aim to optimize, improve, restructure, and evaluate a broad scope of systems, focusing on their four complementary views: operational, informational, technological, and decisional.
It is intended for researchers and postgraduates in industrial engineering and logistics, professionals in senior management positions in industrial and logistics companies, as well as undergraduates in industrial and logistics engineering programs.
List of contents
Comparative Analysis of Linear and Circular Supply chains Performance: A Simulation Approach.- Reviewing the Integration of Blockchain in Electronic Medical Records within the Pharmaceutical Supply Chain.- Digital twin for supply chain improvement: A case study of a building company.- Port Community Systems and organizational performance: A socio-technical approach to evaluation.- Implementation of 5S lean tool in a higher education institution.- Managers' Insights on Industry 4.0: Benefits, Strategies and Obstacles.- The Transformative Role of ML Algorithms in Supply Chain Management: A Systematic Literature Review.
Summary
This book aims to provide recent achievements in the efficient design and operation of industrial and logistics systems. To achieve excellence, digital transformation is currently an essential path for systems reengineering. This path is still in an exploratory phase for industrial and logistics systems, as they cover a wide range of sectors and are composed of several complementary views.
Thus, this book reconciles classic methods with modern ones based on digital transformation and Industry 4.0 technologies, which aim to optimize, improve, restructure, and evaluate a broad scope of systems, focusing on their four complementary views: operational, informational, technological, and decisional.
It is intended for researchers and postgraduates in industrial engineering and logistics, professionals in senior management positions in industrial and logistics companies, as well as undergraduates in industrial and logistics engineering programs.
