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Optimization Of Resource Allocation In Maintenance Management Logistics Systems
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Book Synopsis Optimization of Resource Allocation in Maintenance Management Logistics Systems by : Robert L. Trent
Download or read book Optimization of Resource Allocation in Maintenance Management Logistics Systems written by Robert L. Trent and published by . This book was released on 1972 with total page 19 pages. Available in PDF, EPUB and Kindle. Book excerpt: The report describes the multiphasic development of an integrated logistic suppor system specifically designed to forecast maintenance manpower staffing levels, and supportive resource requirements, and to provide operational scheduling for the maintenance of the Tactical Support Equipment (TSE) associated with the various sites of the SAFEGUARD BMD System. (Author).
Book Synopsis Optimization of Resource Allocation in Maintenance Management Logistics Sysetms by : Robert L. Trent
Download or read book Optimization of Resource Allocation in Maintenance Management Logistics Sysetms written by Robert L. Trent and published by . This book was released on 1973 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Army Research and Development written by and published by . This book was released on 1972 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Army RD & A. written by and published by . This book was released on 1972 with total page 662 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Army RD & A Bulletin written by and published by . This book was released on 1972 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Massimiliano Caramia Publisher :Springer Science & Business Media ISBN 13 :9781846280054 Total Pages :246 pages Book Rating :4.2/5 (8 download)
Book Synopsis Effective Resource Management in Manufacturing Systems by : Massimiliano Caramia
Download or read book Effective Resource Management in Manufacturing Systems written by Massimiliano Caramia and published by Springer Science & Business Media. This book was released on 2006-01-09 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Manufacturing systems, regardless of their size, have to work with scarce resources in dynamic environments. Effective Resource Management in Manufacturing Systems aims to provide methods for achieving effective resource allocation and to solve related problems that occur daily and often generate cost overruns. This book will be bought by postgraduate students of business, engineering and computer science as well as researchers in these fields. It will also be of interest to practitioners in manufacturing systems and operations managers in industry.
Book Synopsis NASA SP-7500 by : United States. National Aeronautics and Space Administration
Download or read book NASA SP-7500 written by United States. National Aeronautics and Space Administration and published by . This book was released on 1982 with total page 814 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Integrated Decision-making Framework for Preventive Maintenance Scheduling and Spare Part Logistic Planning by : Keren Wang (Ph. D.)
Download or read book Integrated Decision-making Framework for Preventive Maintenance Scheduling and Spare Part Logistic Planning written by Keren Wang (Ph. D.) and published by . This book was released on 2017 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Maintenance scheduling for geographically distributed assets intricately and closely depends on the locations and availability of spare parts, which motivates the joint decision-making on the maintenance scheduling and spare part logistics, including optimization of the system operations, as well as the design of the underlying spare part logistic network. These close interactions between the maintenance and spare part logistic activities have been ignored or oversimplified in the existing research and practice, leading to the inappropriate maintenance resource allocations and excessive maintenance waiting times. Unfortunately, such kind of joint decision-making problems are challenging due to the exceptionally large size of the decision space, as well as the strong inter-dependencies in the system operations, especially for large-scale systems with complex maintenance/logistic structures. Challenges become even more pronounced if one acknowledges that those system operations and degradation processes of the assets are greatly influenced by numerous uncertain factors, yielding highly stochastic system behaviors. To address the aforementioned problems and challenges, in this doctoral dissertation, an integrated decision-making framework is proposed to effectively schedule preventive maintenance (PM) for geographically distributed assets and properly manage inventories in distributed logistic facilities storing the necessary spare parts. In addition, several factors are discussed within the proposed decision-making framework, including the inventory-sharing structure, imperfect maintenance, transportation options and spare parts logistic network design. To capture the stochastic nature of the system operations and the trade-offs between decisions in the domains of maintenance scheduling, spare part inventory management, transportation selection and logistic network construction, a discrete-event simulation-based optimization paradigm was used to minimize generic and customizable cost functions, that reward functioning of the assets, while penalizing asset downtime and consumptions of maintenance/logistic resources. The benefits of the newly proposed integrated decision-making framework are illustrated in simulations, through comparisons between the integrated policies with several traditional, fragmented decision-making processes. Moreover, a design of experiment (DOE) based sensitivity analysis is introduced to evaluate the effects of a variety of relevant systems parameters on the resulting system operations. Future work should be aimed at incorporating robustness to uncertainties in model structures and system parameters into the newly proposed decision-making and system design methodologies, as well as implementing these methods in a real-life system settings, rather than simulations alone.
Book Synopsis Artificial Intelligence-Enabled Digital Twin for Smart Manufacturing by : Amit Kumar Tyagi
Download or read book Artificial Intelligence-Enabled Digital Twin for Smart Manufacturing written by Amit Kumar Tyagi and published by John Wiley & Sons. This book was released on 2024-10-15 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: An essential book on the applications of AI and digital twin technology in the smart manufacturing sector. In the rapidly evolving landscape of modern manufacturing, the integration of cutting-edge technologies has become imperative for businesses to remain competitive and adaptive. Among these technologies, Artificial Intelligence (AI) stands out as a transformative force, revolutionizing traditional manufacturing processes and making the way for the era of smart manufacturing. At the heart of this technological revolution lies the concept of the Digital Twin—an innovative approach that bridges the physical and digital realms of manufacturing. By creating a virtual representation of physical assets, processes, and systems, organizations can gain unprecedented insights, optimize operations, and enhance decision-making capabilities. This timely book explores the convergence of AI and Digital Twin technologies to empower smart manufacturing initiatives. Through a comprehensive examination of principles, methodologies, and practical applications, it explains the transformative potential of AI-enabled Digital Twins across various facets of the manufacturing lifecycle. From design and prototyping to production and maintenance, AI-enabled Digital Twins offer multifaceted advantages that redefine traditional paradigms. By leveraging AI algorithms for data analysis, predictive modeling, and autonomous optimization, manufacturers can achieve unparalleled levels of efficiency, quality, and agility. This book explains how AI enhances the capabilities of Digital Twins by creating a powerful tool that can optimize production processes, improve product quality, and streamline operations. Note that the Digital Twin in this context is a virtual representation of a physical manufacturing system, including machines, processes, and products. It continuously collects real-time data from sensors and other sources, allowing it to mirror the physical system’s behavior and performance. What sets this Digital Twin apart is the incorporation of AI algorithms and machine learning techniques that enable it to analyze and predict outcomes, recommend improvements, and autonomously make adjustments to enhance manufacturing efficiency. This book outlines essential elements, like real-time monitoring of machines, predictive analytics of machines and data, optimization of the resources, quality control of the product, resource management, decision support (timely or quickly accurate decisions). Moreover, this book elucidates the symbiotic relationship between AI and Digital Twins, highlighting how AI augments the capabilities of Digital Twins by infusing them with intelligence, adaptability, and autonomy. Hence, this book promises to enhance competitiveness, reduce operational costs, and facilitate innovation in the manufacturing industry. By harnessing AI’s capabilities in conjunction with Digital Twins, manufacturers can achieve a more agile and responsive production environment, ultimately driving the evolution of smart factories and Industry 4.0/5.0. Audience This book has a wide audience in computer science, artificial intelligence, and manufacturing engineering, as well as engineers in a variety of industrial manufacturing industries. It will also appeal to economists and policymakers working on the circular economy, clean tech investors, industrial decision-makers, and environmental professionals.
Book Synopsis Practical Applications of Data Processing, Algorithms, and Modeling by : Whig, Pawan
Download or read book Practical Applications of Data Processing, Algorithms, and Modeling written by Whig, Pawan and published by IGI Global. This book was released on 2024-04-29 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's data-driven era, the persistent gap between theoretical understanding and practical implementation in data science poses a formidable challenge. As we navigate through the complexities of harnessing data, deciphering algorithms, and unleashing the potential of modeling techniques, the need for a comprehensive guide becomes increasingly evident. This is the landscape explored in Practical Applications of Data Processing, Algorithms, and Modeling. This book is a solution to the pervasive problem faced by aspiring data scientists, seasoned professionals, and anyone fascinated by the power of data-driven insights. From the web of algorithms to the strategic role of modeling in decision-making, this book is an effective resource in a landscape where data, without proper guidance, risks becoming an untapped resource. The objective of Practical Applications of Data Processing, Algorithms, and Modeling is to address the pressing issue at the heart of data science – the divide between theory and practice. This book seeks to examine the complexities of data processing techniques, algorithms, and modeling methodologies, offering a practical understanding of these concepts. By focusing on real-world applications, the book provides readers with the tools and knowledge needed to bridge the gap effectively, allowing them to apply these techniques across diverse industries and domains. In the face of constant technological advancements, the book highlights the latest trends and innovative approaches, fostering a deeper comprehension of how these technologies can be leveraged to solve complex problems. As a practical guide, it empowers readers with hands-on examples, case studies, and problem-solving scenarios, aiming to instill confidence in navigating data challenges and making informed decisions using data-driven insights.
Book Synopsis AI-Powered Productivity by : Dr. Asma Asfour
Download or read book AI-Powered Productivity written by Dr. Asma Asfour and published by Asma Asfour. This book was released on 2024-07-29 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, "AI-Powered Productivity," aims to provide a guide to understanding, utilizing AI and generative tools in various professional settings. The primary purpose of this book is to offer readers a deep dive into the concepts, tools, and practices that define the current AI landscape. From foundational principles to advanced applications, this book is structured to cater to both beginners and professionals looking to enhance their knowledge and skills in AI. This book is divided into nine chapters, each focusing on a specific aspect of AI and its practical applications: Chapter 1 introduces the basic concepts of AI, its impact on various sectors, and key factors driving its rapid advancement, along with an overview of generative AI tools. Chapter 2 delves into large language models like ChatGPT, Google Gemini, Claude, Microsoft's Turing NLG, and Facebook's BlenderBot, exploring their integration with multimodal technologies and their effects on professional productivity. Chapter 3 offers a practical guide to mastering LLM prompting and customization, including tutorials on crafting effective prompts and advanced techniques, as well as real-world examples of AI applications. Chapter 4 examines how AI can enhance individual productivity, focusing on professional and personal benefits, ethical use, and future trends. Chapter 5 addresses data-driven decision- making, covering data analysis techniques, AI in trend identification, consumer behavior analysis, strategic planning, and product development. Chapter 6 discusses strategic and ethical considerations of AI, including AI feasibility, tool selection, multimodal workflows, and best practices for ethical AI development and deployment. Chapter 7 highlights the role of AI in transforming training and professional development, covering structured training programs, continuous learning initiatives, and fostering a culture of innovation and experimentation. Chapter 8 provides a guide to successfully implementing AI in organizations, discussing team composition, collaborative approaches, iterative development processes, and strategic alignment for AI initiatives. Finally, Chapter 9 looks ahead to the future of work, preparing readers for the AI revolution by addressing training and education, career paths, common fears, and future trends in the workforce. The primary audience for the book is professionals seeking to enhance productivity and organizations or businesses. For professionals, the book targets individuals from various industries, reflecting its aim to reach a broad audience across different professional fields. It is designed for employees at all levels, offering valuable insights to both newcomers to AI and seasoned professionals. Covering a range of topics from foundational concepts to advanced applications, the book is particularly relevant for those interested in improving efficiency, with a strong emphasis on practical applications and productivity tools to optimize work processes. For organizations and businesses, the book serves as a valuable resource for decision-makers and managers, especially with chapters on data-driven decision-making, strategic considerations, and AI implementation. HR and training professionals will find the focus on AI in training and development beneficial for talent management, while IT and technology teams will appreciate the information on AI tools and concepts.
Book Synopsis Human-Machine Collaboration and Emotional Intelligence in Industry 5.0 by : Kumar, Nitendra
Download or read book Human-Machine Collaboration and Emotional Intelligence in Industry 5.0 written by Kumar, Nitendra and published by IGI Global. This book was released on 2024-07-22 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the rapidly evolving landscape of Industry 5.0, integrating emotional intelligence into the industrial framework is becoming increasingly crucial. Organizations are trying to navigate this uncharted territory and seeking guidance on understanding, implementing, and ethically managing artificial emotional intelligence (AEI). However, the absence of a comprehensive resource addressing these complexities has left a significant void in academic scholarship and industrial practice. Human-Machine Collaboration and Emotional Intelligence in Industry 5.0 offers a holistic exploration of emotion recognition, affective computing, and human-robot interaction. It equips readers with the knowledge and tools to successfully integrate AEI into Industry 5.0, ensuring a harmonious collaboration between humans and machines. This book is a go-to resource for scholars, industry professionals, and decision-makers seeking to leverage emotional intelligence in the Fifth Industrial Revolution by addressing practical implementations, ethical considerations, and real-world impacts.
Book Synopsis Electronic Reliability Design Handbook by :
Download or read book Electronic Reliability Design Handbook written by and published by . This book was released on 1988 with total page 1098 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Converging Pharmacy Science and Engineering in Computational Drug Discovery by : Tripathi, Rati Kailash Prasad
Download or read book Converging Pharmacy Science and Engineering in Computational Drug Discovery written by Tripathi, Rati Kailash Prasad and published by IGI Global. This book was released on 2024-04-22 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world of pharmaceutical research is moving at lightning speed, and the age-old approach to drug discovery faces many challenges. It's a fascinating time to be on the cutting edge of medical innovation, but it's certainly not without its obstacles. The process of developing new drugs is often time-consuming, expensive, and fraught with uncertainty. Researchers are constantly seeking ways to streamline this process, reduce costs, and increase the success rate of bringing new drugs to market. One promising solution lies in the convergence of pharmacy science and engineering, particularly in computational drug discovery. Converging Pharmacy Science and Engineering in Computational Drug Discovery presents a comprehensive solution to these challenges by exploring the transformative synergy between pharmacy science and engineering. This book demonstrates how researchers can expedite the identification and development of novel therapeutic compounds by harnessing the power of computational approaches, such as sophisticated algorithms and modeling techniques. Through interdisciplinary collaboration, pharmacy scientists and engineers can revolutionize drug discovery, paving the way for more efficient and effective treatments. This book is an invaluable resource for pharmaceutical scientists, researchers, and engineers seeking to enhance their understanding of computational drug discovery. This book inspires future innovations by showcasing cutting-edge methodologies and innovative research at the intersection of pharmacy science and engineering. It contributes to the ongoing evolution of pharmaceutical research. It offers practical insights and solutions that will shape the future of drug discovery, making it essential reading for anyone involved in the pharmaceutical industry.
Book Synopsis Utilizing Renewable Energy, Technology, and Education for Industry 5.0 by : Al-Humairi, Safaa Najah Saud
Download or read book Utilizing Renewable Energy, Technology, and Education for Industry 5.0 written by Al-Humairi, Safaa Najah Saud and published by IGI Global. This book was released on 2024-08-01 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the tumultuous period of Industrial Revolution 5.0, a pressing challenge confronts our global community: exploring the intricate interplay between technology, education, and renewable energy. As we stand at the cusp of transformative change, the relentless pace of technological evolution, coupled with the imperative to foster sustainable practices, demands a profound understanding of the synergies and challenges inherent in this dynamic landscape. Utilizing Renewable Energy, Technology, and Education for Industry 5.0 emerges as a compelling solution, offering a comprehensive guide tailored for academic scholars seeking clarity amidst the complexities of this revolutionary wave. The rapid convergence of technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and automation, alongside the critical need for renewable energy integration and a paradigm shift in education, presents a multifaceted challenge. Industry leaders grapple with the transformation of processes, educators seek to align curricula with the demands of Industry 5.0, and environmental advocates strive for sustainable solutions. This intricate dance of innovation, education reform, and environmental consciousness requires a comprehensive approach to unraveling complexities, fostering collaboration, and navigating ethical considerations.
Book Synopsis Contemporary Solutions for Sustainable Transportation Practices by : Munuhwa, Shakerod
Download or read book Contemporary Solutions for Sustainable Transportation Practices written by Munuhwa, Shakerod and published by IGI Global. This book was released on 2024-08-01 with total page 635 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transportation systems worldwide face two significant challenges: environmental degradation and urban congestion. The dominance of fossil fuel-driven vehicles is leading to significant air pollution and greenhouse gas emissions. As metropolitan areas expand rapidly, traffic congestion, longer commute times, and infrastructure stress are rising. Contemporary Solutions for Sustainable Transportation Practices provides a comprehensive roadmap for addressing these challenges. The book advocates for a shift to eco-conscious mobility solutions, such as electric vehicles and intelligent transportation systems, to create a greener and more efficient transportation future. The book offers a multifaceted approach, synthesizing existing research and knowledge on sustainable transportation. It is a go-to reference for academics, researchers, and practitioners, providing expert insights, case studies, and real-world examples. By showcasing contemporary innovations and solutions, it aims to inspire stakeholders and foster a culture of continuous improvement in the transportation sector. The book also provides practical, actionable guidance for implementing sustainable transportation solutions and equipping policymakers, urban planners, and industry leaders with the tools and knowledge to integrate eco-friendly practices into their operations and decision-making processes.
Download or read book Management written by and published by . This book was released on 1982 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt:
