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Elsevier

Books in Industrial engineering

The Industrial Engineering portfolio covers operations research, process optimization, supply chain management, quality control, and human factors engineering. It delivers advanced methodologies and practical strategies to enhance efficiency, productivity, and sustainability in manufacturing and service industries. Focused on innovation and data-driven decision-making, this collection equips engineers and researchers to optimize complex systems and workflows.

  • Circular Economy and Manufacturing

    • 1st Edition
    • Carolina Machado + 1 more
    • English
    Circular economy can serve as a key building block for the sustainability targets of manufacturing companies. Although the term itself has long been established, we see that proper implementation of a circular economy model across entire manufacturing value chains is still lacking and remains a challenge. However, there are clearly visible and good examples of circular economy standards which have already been applied and are generating value among multiple layers. Circular Economy and Manufacturing presents these and more, providing a roadmap of optimized, flexible, efficient, effective, and competitive green production strategies for the manufacturing industry and its multiple stakeholders.The volume proves to be an excellent springboard for further discussion and research into new frameworks of best practices in view of achieving more socially responsible and sustainable organizations in a not-so-distant future.

  • Control and Game Theoretic Methods for Cyber-Physical Security

    • 1st Edition
    • Aris Kanellopoulos + 3 more
    • English
    Control-Theoretic Methods for Cyber-Physical Security presents novel results on security and defense methodologies applied to cyber-physical systems. This book takes a control and game theory perspective, treating autonomous platforms as dynamic systems. It introduces algorithmic frameworks designed to proactively and reactively safeguard these systems against catastrophic failures. The algorithms showcased encompass a wide spectrum of security techniques, from model-free detection mechanisms to unpredictability-bas... defense strategies, combining both model-based and data-driven approaches.

  • Comprehensive Materials Processing

    • 2nd Edition
    • M.S.J. Hashmi
    • English
    Comprehensive Materials Processing, Second Edition, 13 Volume Set consolidates and enhances the most up-to-date literature of the materials processing and manufacturing universe. The book provides authoritative analysis of all processes, technologies, and techniques for converting industrial materials from a raw state into finished parts or products. Coverage encompasses solidification, powder, deposition, and deformation processing. Additional discussion includes plant and tool design, analysis and characterization of processing techniques, high-temperatures studies, and the influence of process scale on component characteristics and behavior.Building and expanding on the previous edition, it includes recent developments and advances in the field, such as updated processing technologies, costs and characterizations. This new edition will also explore sustainability and environmental impact of materials processing in greater detail. This book will serve as a valuable, one-stop resource to students, academics, and researchers in the fields of engineering and materials science, as well as those in adjacent fields. Industry professionals will also benefit from this comprehensive resource.

  • Proactive Human-Robot Collaboration Toward Human-Centric Smart Manufacturing

    • 1st Edition
    • Shufei Li + 2 more
    • English
    Proactive Human–Robot Collaboration Toward Human-Centric Smart Manufacturing is driven by an appreciation of manufacturing scenarios where human and robotic agents can understand each other’s actions and conduct mutual-cognitive, predictable, and self-organizing teamwork. Modern factories’ smart manufacturing transformation and the evolution of relationships between humans and robots in manufacturing tasks set the scene for a discussion on the technical fundamentals of state-of-the-art proactive human–robot collaboration; these are further elaborated into the three main steps (i.e., mutual-cognitive and empathic coworking; predictable spatio-temporal collaboration; self-organizing multiagent teamwork) to achieve an advanced form of symbiotic HRC with high-level, dynamic-reasoning teamwork skills. The authors then present a deployment roadmap and several case studies, providing step-by-step guidance for real-world application of these ground-breaking methods which crucially contribute to the maturing of human-centric, sustainable, and resilient production systems. The volume proves to be an invaluable resource that supports understanding and learning for users ranging from upper undergraduate/gradua... students and academic researchers to engineering professionals in a variety of industry contexts.

  • Advances in Plasma Treatment of Textile Surfaces

    • 1st Edition
    • Shahid Ul Islam + 1 more
    • English
    Advances in Plasma Treatment of Textile Surfaces offers a detailed overview on the use of plasma in natural and synthetic textiles and explores applications in technical textiles, including composites, ballistic performance, functionalization, and textile wastewater treatment. This promising technology can alter the surface properties of textiles without having a significant effect on their bulk properties, leading to potential improvements to the scouring, de-sizing, dyeing, finishing, printing, and laminating processes among others. Drawing on an international team of contributors from industry as well as academia, this important book brings these innovative sustainable plasma treatments to textile and polymer scientists working in textile functionalization.

  • Artificial Intelligence in Manufacturing

    Applications and Case Studies
    • 1st Edition
    • Masoud Soroush + 1 more
    • English
    Artificial Intelligence in Manufacturing: Applications and Case Studies provides detailed technical descriptions of emerging applications of AI in manufacturing using case studies to explain implementation. Artificial intelligence is increasingly being applied to all engineering disciplines, producing insights into how we understand the world and allowing us to create products in new ways. This book unlocks the advantages of this technology for manufacturing by drawing on work by leading researchers who have successfully used it in a range of applications. Processes including additive manufacturing, pharmaceutical manufacturing, painting, chemical engineering and machinery maintenance are all addressed. Case studies, worked examples, basic introductory material and step-by-step instructions on methods make the work accessible to a large group of interested professionals.

  • Artificial Intelligence in Manufacturing

    Concepts and Methods
    • 1st Edition
    • Masoud Soroush + 1 more
    • English
    Artificial Intelligence in Manufacturing: Concepts and Methods explains the most successful emerging techniques for applying AI to engineering problems. Artificial intelligence is increasingly being applied to all engineering disciplines, producing more insights into how we understand the world and allowing us to create products in new ways. This book unlocks the advantages of this technology for manufacturing by drawing on work by leading researchers who have successfully developed methods that can apply to a range of engineering applications. The book addresses educational challenges needed for widespread implementation of AI and also provides detailed technical instructions for the implementation of AI methods. Drawing on research in computer science, physics and a range of engineering disciplines, this book tackles the interdisciplinary challenges of the subject to introduce new thinking to important manufacturing problems.

  • Transfer Learning for Rotary Machine Fault Diagnosis and Prognosis

    • 1st Edition
    • Ruqiang Yan + 1 more
    • English
    Transfer Learning for Rotary Machine Fault Diagnosis and Prognosis introduces the theory and latest applications of transfer learning on rotary machine fault diagnosis and prognosis. Transfer learning-based rotary machine fault diagnosis is a relatively new subject, and this innovative book synthesizes recent advances from academia and industry to provide systematic guidance. Basic principles are described before key questions are answered, including the applicability of transfer learning to rotary machine fault diagnosis and prognosis, technical details of models, and an introduction to deep transfer learning. Case studies for every method are provided, helping readers apply the techniques described in their own work.

  • Modern Manufacturing Processes for Aircraft Materials

    • 1st Edition
    • Selim Gurgen + 1 more
    • English
    Modern Manufacturing Processes for Aircraft Materials presents a detailed review of advanced manufacturing processes exclusively used for aircraft materials, including metals, polymers and composites. Advanced manufacturing methods are discussed as well as recent non-conventional manufacturing methods for aircraft-specific materials. Key important processes discussed include additive manufacturing for both polymeric and metallic materials, electrical discharge machining, laser welding, electron beam welding, and micro-machining. In addition to the theoretical discussion, various examples of case studies are presented from reputable research centers, and institutes.This will be a valuable reference resource for academic researchers, materials scientists, and industrial engineers working in manufacturing of advanced materials for the aircraft industry.

  • Digital Twin for Smart Manufacturing

    • 1st Edition
    • Rajesh Kumar Dhanaraj + 4 more
    • English
    Digital Twin for Smart Manufacturing: Emerging Approaches and Applications provides detailed descriptions on how to integrate and optimize novel digital technologies for smart manufacturing. The book discusses digital twins, which combine the industrial internet of things, artificial intelligence, machine learning and software analytics with spatial network graphs to create living digital simulation models that update and change as their physical counterparts change. In addition, they provide an effective way to integrate technologies like cyber-physical systems into a smart manufacturing system, potentially optimizing the entire business process and operating procedure of the manufacturing firm. Drawing on the latest research, the book addresses the topics and technologies key to successful implementation of a smart manufacturing system, including augmented and virtual reality, big data and energy management. Broader subjects such as additive manufacturing and robotics are also covered in this context, covering every aspect of production.

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