Industrial Resource Utilization And Productivity
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Author | : Anil Mital, Ph.D. |
Publisher | : Momentum Press |
Total Pages | : 278 |
Release | : 2010-08-16 |
Genre | : Technology & Engineering |
ISBN | : 1606501321 |
This new compendium of recent advances in the use of modern technology and management concepts-- from distributed virtual manufacturing enterprises to integrating green technology in a cost-effective manner to materials and energy savingswill offer engineers and technical managers the needed insight to plan for future growth and success. Greater utilization and availability of resources in the workplace are directly related to better design and better engineering in the manufacturing economy. The book will explore how energy-efficient smart materials and structures hold tremendous potential for realizing cost savings and improving energy use in the modern industrial workplace. It will also show how industrial engineers have developed a variety of analytical and computer-based tools and technologies for planning, forecasting and scheduling resources including time, labor, and more recently, energy. Readers will also find: -- New trends in "i-Manufacturing" -- Finding optimal ways to distribute goods and services -- Human Resources Management in the context of efficient manufacturing -- Resources Planning, Forecasting and Scheduling -- Distribution, Logistics and Supply Chain Optimization -- Green Design and Manufacturing.
Author | : OECD |
Publisher | : OECD Publishing |
Total Pages | : 176 |
Release | : 2015-02-12 |
Genre | : |
ISBN | : 9264190503 |
This book provides a factual analysis of material flows and resource productivity in OECD countries in a global context.
Author | : |
Publisher | : |
Total Pages | : 180 |
Release | : 1990 |
Genre | : Industrial productivity |
ISBN | : |
Author | : Raman Kumar |
Publisher | : CRC Press |
Total Pages | : 250 |
Release | : 2023-11-03 |
Genre | : Technology & Engineering |
ISBN | : 1000986195 |
The book focuses on the recent developments in the areas of error reduction, resource optimization, and revenue growth in sustainable manufacturing using machine learning. It presents the integration of smart technologies such as machine learning in the field of Industry 4.0 for better quality products and efficient manufacturing methods. Focusses on machine learning applications in Industry 4.0 ecosystem, such as resource optimization, data analysis, and predictions. Highlights the importance of the explainable machine learning model in the manufacturing processes. Presents the integration of machine learning and big data analytics from an industry 4.0 perspective. Discusses advanced computational techniques for sustainable manufacturing. Examines environmental impacts of operations and supply chain from an industry 4.0 perspective. This book provides scientific and technological insight into sustainable manufacturing by covering a wide range of machine learning applications fault detection, cyber-attack prediction, and inventory management. It further discusses resource optimization using machine learning in industry 4.0, and explainable machine learning models for industry 4.0. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including mechanical engineering, manufacturing engineering, production engineering, aerospace engineering, and computer engineering.
Author | : Peter Harris |
Publisher | : Taylor & Francis |
Total Pages | : 331 |
Release | : 2010-02-17 |
Genre | : Business & Economics |
ISBN | : 1136431675 |
Top experts specializing in hospitality management have contributed articles to this new collection which explains recent developments in accounting and finance. The material is drawn from a combination of fieldwork and practical experience. The managerial emphasis means that the content is fully relevant internationally and not constrained by the legal framework of different countries. Accounting and Finance provides an overview of: *analysis and evaluation of performance *planning methods and techniques *financial information and control *financial management. It also shows how operational analysis can be used as a management tool to improve performance. Techniques for predicting the financial success or failure of hotels are suggested. Research into hotel companies in the US and Europe demonstrates key performance indicators used by hotel managers and financial executives. Other contributors explore the interface between accounting and marketing and human resource management and there is thorough coverage of financial strategy formulation. Readers will also find helpful the section on statistics in the analysis and prediction of cost behaviour in hotels. Contributors: Raymond Schmidgall (Michigan State University, USA); Debra J. Adams (Bournemouth University, UK); Professor Elisa S. Moncarz (Florida International University, USA); Richard N. Kron (Kron Hospitality Consulting, USA); Angela Maher (Oxford Brookes University, UK); Peter J. Harris (Oxford Brookes University, UK); Geoff S. Parkinson (BDO Stoy Hayward Chartered Accountants, UK); Paul Fitz-John (Bournemouth University, UK); Paul Collier (University of Exeter, UK); Professor Alan Gregory (University of Glasgow, UK); Tracy A. Jones (Cheltenham and Gloucester College of Higher Education, UK); Jacqueline Brander Brown (The Manchester Metropolitan University, UK); Nina J. Downie (Oxford Brookes University, UK): Catherine L. Burgess (Oxford Brookes University, UK); Ian C. Graham (Holiday Inn Worldwide, Belgium); Howard M. Field (International Hotel and Leisure Associates, UK); Professor Paul Beals (Canisius College, USA); Frank J. Coston (Pannell Kerr Forster Associates, UK).
Author | : Jiafu Wan |
Publisher | : CRC Press |
Total Pages | : 523 |
Release | : 2023-12-14 |
Genre | : Technology & Engineering |
ISBN | : 1000999645 |
Artificial Intelligence (AI) technologies enable manufacturing systems to sense the environment, adapt to external needs, and extract process knowledge, including business models such as intelligent production, networked collaboration, and extended service models. This book therefore focuses on the implementation of AI in customized manufacturing (CM). The main topics include edge intelligence in manufacturing, heterogeneous networks, intelligent fault diagnosis and maintenance, dynamic resource scheduling in manufacturing, and the construction mode of the smart factory. Based on the insights of CM and AI, the authors demonstrate the implementation of AI in the smart factory for CM, including architecture, information fusion, data analysis, dynamic scheduling, flexible production line construction, and smart manufacturing services. This book will provide important research content for scholars in artificial intelligence, smart manufacturing, machine learning, multi-agent systems, and industrial Internet of Things.
Author | : Munir Ahmad |
Publisher | : Frontiers Media SA |
Total Pages | : 664 |
Release | : 2023-03-27 |
Genre | : Science |
ISBN | : 2832518907 |
Author | : Khan, Muhammad Rahies |
Publisher | : IGI Global |
Total Pages | : 438 |
Release | : 2024-05-01 |
Genre | : Business & Economics |
ISBN | : |
In the rapidly evolving landscape of Industry 4.0, integrating digital technologies into supply chain management (SCM) presents opportunities and challenges. While Industry 4.0 promises increased efficiency, productivity, and competitiveness, its impact on sustainability within SCM remains a pressing concern. Existing literature often needs to look more into the holistic integration of Industry 4.0 technologies with sustainable practices in SCM, leaving a critical gap in understanding and implementation. This gap not only inhibits the realization of sustainable performance but also hinders firms from aligning with global sustainability agendas such as the United Nations Sustainable Development Goals (UNSDG) 2030. Digital Transformation for Improved Industry and Supply Chain Performance offers a comprehensive solution by examining the integration of Industry 4.0 technology and SCM sustainability. It addresses the urgent need for firms to undergo digital transformation to achieve sustainable performance. It provides insights into how Industry 4.0 technologies can be strategically leveraged to promote sustainability in SCM operations. Through in-depth analysis of critical topics such as cybersecurity, resilience, circular economy practices, and ethical considerations, this book equips readers with the knowledge and tools necessary to navigate the complexities of Industry 4.0-enabled SCM sustainability.
Author | : Ali Dogramaci |
Publisher | : Springer Science & Business Media |
Total Pages | : 278 |
Release | : 2012-12-06 |
Genre | : Business & Economics |
ISBN | : 9400932537 |
Author | : Kamalpreet Sandhu |
Publisher | : CRC Press |
Total Pages | : 213 |
Release | : 2024-09-13 |
Genre | : Technology & Engineering |
ISBN | : 104010794X |
Sustainable manufacturing is a key component in the engineering industry, helping to decrease emissions, costs, and energy use. Through examining how to successfully implement sustainability within Industry 4.0, Sustainable Manufacturing: An Emergence in Industry 4.0 covers recent innovations in topics, including circular economy, supply chains, waste elimination, and recycling. This edited collection is a cutting-edge assessment of the barriers preventing the implementation of sustainable manufacturing in industry. Highlighting basic definitions and terminologies within sustainability and manufacturing, this book covers topics that include interactive design, remanufacturing, cleaner production, and optimization. It also features modern technologies currently revolutionizing the industry, such as robotics and 3D printing. Using case studies to illustrate success stories in which products have been created using sustainable processes, this book also includes technical notes and experimental results from a wide variety of international contributors. This book is relevant to anyone working in the mechanical engineering, manufacturing and industrial engineering, and materials science industries.