Logistics for Engineers : Automatic Control, Network Science, and Industry 4.0

In our rapidly evolving technological landscape, the field of logistics has undergone a significant transformation. This new textbook seeks to facilitate this transition by providing a framework rooted in engineering fundamentals, empowering students to navigate the complexities of the modern logistics industry.

In today's rapidly evolving technological landscape, the field of logistics has undergone a significant transformation from a conventional supply chain operation to a highly intricate, data-driven network that is crucial for the efficient functioning of contemporary society. This new textbook seeks to facilitate this transition by providing a framework rooted in engineering fundamentals, empowering students to navigate the complexities of the modern logistics industry. Logistics for Engineers: Automatic Control, Network Science, and Industry 4.0 provides engineering students with a comprehensive and practical approach to mastering logistics by incorporating principles from Automatic Control, Network Science, and Industry 4.0. This new textbook discusses the intricate world of logistics as a complex interconnected system, where inventory levels, supply chains, and production processes act as signals within a control system. By integrating fundamental mathematical models such as differential equations and Laplace transforms, along with industry-specific applications, this textbook empowers future engineers with the necessary tools to optimize efficiency, reliability, and responsiveness within modern, data-driven logistics networks. Through a combination of real-world examples, challenging problem-solving exercises, and insights into cutting-edge technologies, this textbook prepares readers to excel in today's fast-paced industrial environment. Designed specifically for undergraduate engineering students, this textbook is tailored to those studying Industrial Engineering, Mechanical Engineering, Systems Engineering, and Operations Engineering. It serves as a foundational resource for courses in logistics, supply chain management, and operations engineering. The content is particularly beneficial for graduate students focusing on logistics, supply chain analytics, and smart manufacturing, as it offers a thorough exploration of logistics processes using a mathematical and systems-based methodology. The textbook provides a variety of resources to enhance learning, including end-of-chapter assessments, exercises, case studies and figure slides.