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eBook Analysis and Algorithms for Service Parts Supply Chains (Springer Series in Operations Research and Financial Engineering) epub

by John A. Muckstadt

eBook Analysis and Algorithms for Service Parts Supply Chains (Springer Series in Operations Research and Financial Engineering) epub
  • ISBN: 0387227156
  • Author: John A. Muckstadt
  • Genre: Engineering
  • Subcategory: Engineering
  • Language: English
  • Publisher: Springer; 2005 edition (December 7, 2004)
  • Pages: 278 pages
  • ePUB size: 1875 kb
  • FB2 size 1482 kb
  • Formats rtf docx lit mobi


This book provides a broad overview of modeling approaches and solution methodologies for addressing service parts inventory problems found in high-powered technology and aerospace applications. The focus in this work is on the management of high cost, low demand rate service parts found in multi-echelon settings.

This book provides a broad overview of modeling approaches and solution methodologies for addressing service parts inventory problems found in high-powered technology and aerospace applications.

Home John A. Muckstadt Analysis and Algorithms for Service Parts . Muckstadt Analysis and Algorithms for Service Parts Supply Chains . .This book provides a broad overview of modeling approaches and solution methodologies for addressing service parts inventory problems found in high-powered technology and aerospace applications.

John A Muckstadt (author) . This book, covering ten chapters, presents the state of the art relating to service parts inventory systems and supply chain algorithms. Each chapter contains a set of problems for the reader to explore the algorithmic tools presented in this book, which concludes with a very useful set of references and index. to make the reader aware of a larger set of materials on the topic, he provides an extensive bibliography on the subject.

Goodreads helps you keep track of books you want to read. Paperback, 300 pages. Published September 28th 2008 by Springer-Verlag New York, LLC (first published December 7th 2004). Start by marking Analysis and Algorithms for Service Parts Supply Chains as Want to Read: Want to Read savin. ant to Read.

Mobile version (beta). Epub FB2 mobi txt RTF. Converted file can differ from the original. If possible, download the file in its original format.

Автор: Muckstadt John A. Название: Analysis and Algorithms for . The book reveals close relationships between the theory of economic learning via genetic algorithms, dynamic game theory, and evolutionary economics.

The book reveals close relationships between the theory of economic learning via genetic algorithms, dynamic game theory, and evolutionary economics.

Muckstadt: Analysis and Algorithms for Service Parts Supply Chains. Nocedal and Wright: Numerical Optimization. Since the book treats. Olson: Decision Aids for Selection Problems. Pinedo: Planning and Scheduling in Manufacturing and Services. Pochet and Wolsey: Production Planning by Mixed Integer Programming. Whitt: Stochastic-Process Limits: An Introduction to Stochastic-Process. Prerequisites for this book include some knowledge of linear algebra (including numerical.

* Provides a broad overview of modeling approaches and solution methodologies for addressing inventory problems, particularlythe management of high cost, low demand rate service parts found in multi-echelon settings

* The text may be used in a variety of courses for first-year graduate students or senior undergraduates, or as a reference for researchers and practitioners

* A background in stochastic processes and optimization is assumed

Comments: (2)
Rivik
Too much maths full of cryptic symbols. For deep mathematicians only
Goodman
In my 25-year career in the equipment service business, a few books stand out as being the most noteworthy contributions to the management of service parts. They include Robert G. Brown's Advanced Service Parts Inventory Control (1982), Joseph D. Patton Jr.'s Service Parts Management (1984), and Craig C. Sherbrooke's Optimal Inventory Modeling of Systems: Multi-Echelon Techniques (1992). This new volume by Muckstadt stands to be the most significant contribution to the business of managing service parts since Sherbrooke's volume.

Brown's book teaches the practitioner how to apply the principles and methods developed by him and others to the practical management of service parts. Brown's pioneering work in forecasting and inventory control methodologies forms the basis of current practice across many industries. Patton's volume (along with it's subsequent revisions) is a practitioner's desk reference that provides a convenient overview of the issues and methods employed in the industry from the viewpoint of one with years of experience managing and consulting to the industry. Sherbrooke produced pioneering work in the area of service inventory supply optimization while working at the RAND Corporation for Department of Defense applications in the military. In fact, the most sophisticated service parts supply optimization methodologies in existence today are outgrowths of Sherbrooke's original work at RAND and further research by the Operations Research community.

This new text by Muckstadt is an important contribution in three ways. First, it pulls together in one text much of the significant research related to service parts supply chain optimization to date. Researchers, consultants and practitioners will find that the 260-reference bibliography itself is worth the cost in timesavings in researching the many papers that have been written on the subject. Second, it teaches students of Operations Research the underlying concepts and how to specify and formulate optimization models for service parts applications. Graduate students who complete the material in the text will be well prepared to conduct further research of their own. Finally, Chapters 6 and 10 present valuable new approaches heretofore never published. The time-based service objectives in Chapter 6 directly reflect the manner in which service contracts in high technology industries are written. Decision models that operate in real-time such as those described in Chapter 10 offer the greatest potential for advancing the effectiveness of service parts supply chains.
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