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Industrial Resource Utilization and Productivity

Industrial Resource Utilization and Productivity
Author: Anil Mital, Ph.D.
Publisher: Momentum Press
Total Pages: 278
Release: 2010-08-16
Genre: Technology & Engineering
ISBN: 1606501321

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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.


Resources Utilization and Productivity Enhancement Case Studies

Resources Utilization and Productivity Enhancement Case Studies
Author: Anil Mital
Publisher: Momentum Press
Total Pages: 144
Release: 2015-03-10
Genre: Technology & Engineering
ISBN: 1606506803

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This book offers detailed case studies on how various industries have learned how to best allocate their resources—technical, human, and nancial—for enhancing productivity. It includes efforts to improve resource utilization from around the world. Case studies cover topics ranging from distributed virtual manufacturing enter- prises to integrating green technology in a cost-effective manner to materials and energy savings. Resources Utilization and Productivity Enhancement Case Stud- ies explores how energy-ef cient smart materials and structures hold tremendous potential for realizing cost savings and improving energy use in the modern industrial workplace. It also shows how industrial engineers have developed a variety of analytical and computer-based tools and technologies for planning, forecasting, and schedul- ing resources—including time, labor, and more recently, energy.


Effective Resource Management in Manufacturing Systems

Effective Resource Management in Manufacturing Systems
Author: Massimiliano Caramia
Publisher: Springer Science & Business Media
Total Pages: 246
Release: 2006-01-09
Genre: Business & Economics
ISBN: 9781846280054

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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.


Industry 4.0, Smart Manufacturing, and Industrial Engineering

Industry 4.0, Smart Manufacturing, and Industrial Engineering
Author: Amit Kumar Tyagi
Publisher: CRC Press
Total Pages: 389
Release: 2024-09-16
Genre: Technology & Engineering
ISBN: 1040116906

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Industry 4.0 is a revolutionary concept that aims to enhance productivity and profitability in various industries through the implementation of smart manufacturing techniques. This book discusses the profound impact of Industry 4.0, which involves the seamless integration of digital technologies into manufacturing processes within the realm of industrial engineering. Industry 4.0, Smart Manufacturing, and Industrial Engineering: Challenges and Opportunities thoroughly examines the intricate facets of Industry 4.0 and Smart Manufacturing, offering a comprehensive overview of the challenges and opportunities that this paradigm shift presents to industrial engineers. It provides practical insights and strategies to help professionals navigate the complexities of this evolving landscape. Fundamental components of Industry 4.0 and Smart Manufacturing, ranging from the incorporation of sensors and data analytics to the deployment of cyber-physical systems and the promotion of sustainable practices are covered in detail. The book addresses the obstacles and prospects brought about by Industry 4.0 in the digital age and offers solutions to issues such as data security, interoperability, and workforce preparedness. The book sheds light on how Industry 4.0 combines various disciplines, including engineering technology, data science, and management. It serves as a valuable resource for researchers, undergraduate and postgraduate students, as well as professionals operating in the field of industrial engineering and related domains.


Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures

Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures
Author: Erlend Alfnes
Publisher: Springer Nature
Total Pages: 696
Release: 2023-09-13
Genre: Computers
ISBN: 3031436660

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This 4-volume set, IFIP AICT 689-692, constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2023, held in Trondheim, Norway, during September 17–21, 2023. The 213 full papers presented in these volumes were carefully reviewed and selected from a total of 224 submissions. They were organized in topical sections as follows: Part I : Lean Management in the Industry 4.0 Era; Crossroads and Paradoxes in the Digital Lean Manufacturing World; Digital Transformation Approaches in Production Management; Managing Digitalization of Production Systems; Workforce Evolutionary Pathways in Smart Manufacturing Systems; Next Generation Human-Centered Manufacturing and Logistics Systems for the Operator 5.0; and SME 5.0: Exploring Pathways to the Next Level of Intelligent, Sustainable, and Human-Centered SMEs. Part II : Digitally Enabled and Sustainable Service and Operations Management in PSS Lifecycle; Exploring Digital Servitization in Manufacturing; Everything-as-a-Service (XaaS) Business Models in the Manufacturing Industry; Digital Twin Concepts in Production and Services; Experiential Learning in Engineering Education; Lean in Healthcare; Additive Manufacturing in Operations and Supply Chain Management; and Applications of Artificial Intelligence in Manufacturing. Part III : Towards Next-Generation Production and SCM in Yard and Construction Industries; Transforming Engineer-to-Order Projects, Supply Chains and Ecosystems; Modelling Supply Chain and Production Systems; Advances in Dynamic Scheduling Technologies for Smart Manufacturing; and Smart Production Planning and Control. Part IV : Circular Manufacturing and Industrial Eco-Efficiency; Smart Manufacturing to Support Circular Economy; Product Information Management and Extended Producer Responsibility; Product and Asset Life Cycle Management for Sustainable and Resilient Manufacturing Systems; Sustainable Mass Customization in the Era of Industry 5.0; Food and Bio-Manufacturing; Battery Production Development and Management; Operations and SCM in Energy-Intensive Production for a Sustainable Future; and Resilience Management in Supply Chains.


Machine Learning for Sustainable Manufacturing in Industry 4.0

Machine Learning for Sustainable Manufacturing in Industry 4.0
Author: Raman Kumar
Publisher: CRC Press
Total Pages: 250
Release: 2023-11-03
Genre: Technology & Engineering
ISBN: 1000986195

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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.


Applications of Modern Production Theory

Applications of Modern Production Theory
Author: Ali Dogramaci
Publisher: Springer Science & Business Media
Total Pages: 278
Release: 2012-12-06
Genre: Business & Economics
ISBN: 9400932537

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