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1. |
Record Nr. |
UNINA9910814891903321 |
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Autore |
Fredendall Lawrence D. |
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Titolo |
An introduction to lean work design . Volume II Standard practices and tools of lean / / Lawrence D. Fredendall and Matthias Thürer |
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Pubbl/distr/stampa |
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New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2016 |
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ISBN |
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Edizione |
[First edition.] |
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Descrizione fisica |
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1 online resource (xiii, 149 pages) |
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Collana |
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Supply and operations management collection, , 2156-8200 |
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Disciplina |
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Soggetti |
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Lean manufacturing |
Work design |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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1. Visible control using 5S -- 2. Total productive maintenance through visible control -- 3. Single-minute-exchange-of-die -- 4. Visible control using the facility layout -- 5. Visual signaling for visual control -- 6. Visual control using pull systems -- 7. Value stream mapping -- 8. Total quality management -- 9. Continuous improvement, problems everywhere -- 10. Work structure through standardization -- 11. Coordinating improvement through Hoshin Kanri -- 12. Summary -- Index. |
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Sommario/riassunto |
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Lean Work Design comes directly from our view that lean operations results from the work design. This book uses three existing work design theories to study lean operations and to identify the principles of lean operations. First, systems theory is used to conceptualize how lean operations differ from other work designs. Second, buffer theory, which views lean as a set of buffers to protect throughput from variance, is used to more effectively manage buffers. Third, organizational information processing theory is used to understand how the lean work design processes different types of information. So, lean work design is a work design that maximizes system productivity and effectiveness while minimizing the system's buffer costs. Lean does this by achieving tighter integration of its system components by using work design methods that incorporate a systems view of the organization. Appropriate work design methods consciously seek to |
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incorporate a systems view and coordination into the design of a production or service process. This book is not about the many tools in lean. Rather, it focuses on understanding the lean concepts and how to actively use these concepts to create structure and facilitate communication. The book introduces the fundamentals of Lean operations that are a key to creating a Lean Work Design. It provides a knowledge structure that can be adapted to the day- to-day problems encountered by managers of many different types of work systems. |
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2. |
Record Nr. |
UNINA9910917197403321 |
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Autore |
Shrivastava Vivek |
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Titolo |
Power Engineering and Intelligent Systems : Proceedings of PEIS 2024, Volume 2 / / edited by Vivek Shrivastava, Jagdish Chand Bansal, B. K. Panigrahi |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (531 pages) |
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Collana |
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Lecture Notes in Electrical Engineering, , 1876-1119 ; ; 1247 |
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Altri autori (Persone) |
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BansalJagdish Chand |
PanigrahiB. K |
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Disciplina |
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Soggetti |
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Computational intelligence |
Electric power production |
Electric machinery |
Artificial intelligence |
Computational Intelligence |
Electrical Power Engineering |
Electrical Machines |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1: Study of the Optimal Sizing of Battery Energy Storage Systems for Microgrid Applications -- Chapter 2: Integrated State of Charge and State of Health Method for Operating Range Prediction in |
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Electric Vehicles -- Chapter 3: Crime Prediction Using Ensemble Machine Learning Approach -- Chapter 4: Gated Recurrent Unit with Attention mechanism for IC50 Prediction model using Amyotrophic Lateral Sclerosis Related Proteins -- Chapter 5: Exploring Echo State Network for Detection of Gait Freezing in Parkinson's Patients Optimized through Modified Metaheuristics -- Chapter 6: Computer Vision-Based Self-Inflicted Violence Detection in High-Rise Environments using Deep Learning -- Chapter 7: Two Sliding Mode Control Strategies for Maglev Systems with Help of Kalman Filter -- Chapter 8: A Deep Learning Framework on Embedded ADAS Platform for Lane and Road Detection -- Chapter 9: Innovative Convolutional Neural Network Approach to Enhance Real-Time Face Recognition Accuracy -- Chapter 10: Tomato Plant Leaf Disease Prediction and Suggestion Using Deep Learning. etc. |
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Sommario/riassunto |
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This book presents a collection of the high-quality research articles in the field of power engineering, grid integration, energy management, soft computing, artificial intelligence, signal and image processing, data science techniques, and their real-world applications. The papers are presented at International Conference on Power Engineering and Intelligent Systems (PEIS 2024), held during March 16–17, 2024, at National Institute of Technology Srinagar, Uttarakhand, India. |
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