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Modelling and Management of Engineering Processes, Peter Heisig; P. John Clarkson; Sandor Vajna


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Автор: Peter Heisig; P. John Clarkson; Sandor Vajna
Название:  Modelling and Management of Engineering Processes
ISBN: 9781849961981
Издательство: Springer
Классификация:





ISBN-10: 1849961980
Обложка/Формат: Hardcover
Страницы: 212
Вес: 0.45 кг.
Дата издания: 10.06.2010
Язык: English
Размер: 234 x 155 x 18
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Contains the proceedings of the First International Conference on Process Modelling and Process Management (MMEP 2010) held in Cambridge, England, in March 2010. This title includes contributions from an international group of leading researchers in the fields of process modelling and process management.


Service Science: The Foundations of Service Engineering and Management

Автор: Robin G. Qiu
Название: Service Science: The Foundations of Service Engineering and Management
ISBN: 111810823X ISBN-13(EAN): 9781118108239
Издательство: Wiley
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Цена: 17733.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Presents a practical approach to the service systems lifecycle framework, which aids in understanding and capturing market trends; analyzing the design and engineering of service products and delivery networks; executing service operations; and controlling and managing the service lifecycles for competitive advantage.

Fundamentals of Quality Control and Improvement

Автор: Amitava Mitra
Название: Fundamentals of Quality Control and Improvement
ISBN: 1118705149 ISBN-13(EAN): 9781118705148
Издательство: Wiley
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Цена: 20109.00 р.
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Описание: A statistical approach to the principles of quality control and management Incorporating modern ideas, methods, and philosophies of quality management, Fundamentals of Quality Control and Improvement, Fourth Edition presents a quantitative approach to management–oriented techniques and enforces the integration of statistical concepts into quality assurance methods. Utilizing a sound theoretical foundation and illustrating procedural techniques through real–world examples, the timely new edition bridges the gap between statistical quality control and quality management. Promoting a unique approach, the book focuses on the use of experimental design concepts as well as the Taguchi method for creating product/process designs that successfully incorporate customer needs, improve lead time, and reduce costs. The Fourth Edition of Fundamentals of Quality Control and Improvement also includes: New topical coverage on risk–adjustment, capability indices, model building using regression, and survival analysis Updated examples and exercises that enhance the readers understanding of the concepts Discussions on the integration of statistical concepts to decision making in the realm of quality assurance Additional concepts, tools, techniques, and issues in the field of health care and health care quality A unique display and analysis of customer satisfaction data through surveys with strategic implications on decision making, based on the degree of satisfaction and the degree of importance of survey items Fundamentals of Quality Control and Improvement, Fourth Edition is an ideal book for undergraduate and graduate–level courses in management, technology, and engineering. The book also serves as a valuable reference for practitioners and professionals interested in expanding their knowledge of statistical quality control, quality assurance, product/process design, total quality management, and/or Six Sigma training in quality improvement. Amitava Mitra, PhD, is Professor in the Department of Systems and Technology and former associate dean in the College of Business at Auburn University, Alabama. He has published over seventy journal articles and currently teaches in the areas of quality assurance and improvement. Dr. Mitra has over thirty years of academic and professional experience, and has conducted courses for professionals in total quality management, quality assurance and statistical process control, design of experiments, and Six Sigma Black Belt training.

Complexity management in engineering design

Автор: Maurer, Maik
Название: Complexity management in engineering design
ISBN: 3662534479 ISBN-13(EAN): 9783662534472
Издательство: Springer
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Цена: 12577.00 р.
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Описание: Introducing complexity in engineering.- History of complexity management.- Classification of complexity management approaches in engineering.- A complexity management framework.

Modelling and Management of Engineering Processes

Автор: Peter Heisig, P. John Clarkson
Название: Modelling and Management of Engineering Processes
ISBN: 1447157176 ISBN-13(EAN): 9781447157175
Издательство: Springer
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Цена: 32004.00 р.
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Описание: Modelling for Business Improvement contains the proceedings of the First International Conference on Process Modelling and Process Management (MMEP 2010) held in Cambridge, England, in March 2010.

Modelling and Management of Engineering Processes

Автор: Michael Schabacker; Kilian Gericke; Nikoletta Sz?l
Название: Modelling and Management of Engineering Processes
ISBN: 3662440083 ISBN-13(EAN): 9783662440087
Издательство: Springer
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Цена: 27950.00 р.
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Описание: A Process Taxonomy Model for Engineering Design Research.- Value System in Product Development.- Case Study on Requirements Management in Multidisciplinary Product Development.- A Model Based Approach to Support Risk Management in Innovation Projects.- Estimation of Risk Increase caused by Parallelisation in Product Development Processes.- Emerging Telemedicine Analysis of Future Teledermatology Application in France.- Evaluation of Collaborative Tools Along Design Process Using a Quantitative Rating of CAD Models Modification.- Scrum in the Traditional Development Organization: Adapting to the Legacy.- Integration of Systemic Constellation Work in Business.- Process Indicators for Process Engineering (PIPE).- Comparison of seven company-specific Engineering Change Processes.- Consideration of Uncertainties in the Product-Oriented Development Process.- Modelling Technique for Knowledge Management.- Alliance Management Process Design with Failure Mode and Effect Analysis.- An Approach to Integrate Data Mining into the Development Process.- Optimal Scheduling of Stochastic Production Processes Through Model Checking: An Example from the Baked Goods Industry.

Modelling and Management of Engineering Processes

Автор: Michael Schabacker; Kilian Gericke; Nikoletta Sz?l
Название: Modelling and Management of Engineering Processes
ISBN: 3662515725 ISBN-13(EAN): 9783662515723
Издательство: Springer
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Цена: 19589.00 р.
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Описание: A Process Taxonomy Model for Engineering Design Research.- Value System in Product Development.- Case Study on Requirements Management in Multidisciplinary Product Development.- A Model Based Approach to Support Risk Management in Innovation Projects.- Estimation of Risk Increase caused by Parallelisation in Product Development Processes.- Emerging Telemedicine Analysis of Future Teledermatology Application in France.- Evaluation of Collaborative Tools Along Design Process Using a Quantitative Rating of CAD Models Modification.- Scrum in the Traditional Development Organization: Adapting to the Legacy.- Integration of Systemic Constellation Work in Business.- Process Indicators for Process Engineering (PIPE).- Comparison of seven company-specific Engineering Change Processes.- Consideration of Uncertainties in the Product-Oriented Development Process.- Modelling Technique for Knowledge Management.- Alliance Management Process Design with Failure Mode and Effect Analysis.- An Approach to Integrate Data Mining into the Development Process.- Optimal Scheduling of Stochastic Production Processes Through Model Checking: An Example from the Baked Goods Industry.

Decision Models in Engineering and Management

Автор: Patricia Guarnieri
Название: Decision Models in Engineering and Management
ISBN: 3319119486 ISBN-13(EAN): 9783319119489
Издательство: Springer
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Цена: 20896.00 р.
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Описание: Consequently managers need the support of these structured methods in order to engage in effective decision making.This book provides a valuable resource for graduate students, professors and researchers of decision analysis, multi-criteria decision analysis and group decision analysis.


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