Showing posts with label supply chain. Show all posts
Showing posts with label supply chain. Show all posts

5/05/2012

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

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

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9/20/2011

Modeling the Supply Chain (Duxbury Applied) Review

Modeling the Supply Chain (Duxbury Applied)
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This book is about math-modeling of Supply Chain Management(SCM). While only few analytical SCM books in market, this book is still different. The presentation of math-modeling does not forbid your curiousity in model by giving a proof, theory, lemma; this book shows you the modeling method to capture the complex SCM problem. I like this book over Simchi-Levi (logic of logistics) for its description, practical aspect and future direction. Also, I prefer this book over Chopra (SCM) and Simchi-levi (SCM) for its higher and better modeling issues. This book takes care the readers well since the solution technique is also given, e.g., Linear Programming, Mixed Integer Programming, Unified Optimization, even simulation. While this book is more on quantitative, the interaction between qualitative and quantitative is given -both basic and advanced level. Suggestion to adapt modeling technique to organization is well presented also. The information technology (IT) section covers most SCM issues as well as the implementation and database for SCM. If you're in this area (either academia or practitioner), you have NO EXCUSE not to get this book seriously. For its uniqueness, this book is not supplementary or option, but it's a requirement for you.

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9/18/2011

Optimal Inventory Modeling of Systems: Multi-Echelon Techniques (International Series in Operations Research & Management Science) Review

Optimal Inventory Modeling of Systems: Multi-Echelon Techniques (International Series in Operations Research and Management Science)
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Excerpted from the original Logistics Spectrum review by Dr. Jezdimir Knesevic, 1993
The book is written for the logistician who is concerned with the achievement of the required operational availability of systems, and whose main objective and responsibility is to make decisions related to inventory items, item location and investment in spares. The optimization methodology developed considers trade-offs between stock at the operating locations and supporting depots (also called the multi-echelon problems), and between stock levels for an item and its sub-items (also called the multi-indenture problems). All models developed are on an analytical nature, which provides the decision-maker with an efficient tool for the determination of optimal stockage policies.
The philosophical concepts of the book are addressed in Chapter 1, followed by the corresponding mathematical techniques in Chapter 2. Chapter 3 covers the mathematics related to the joint optimization of stock levels at operating and stockage/supporting bases. The estimation of demand rates that do not stay constant is considered in Chapter 4, where the negative binomial is used as a model, together with models that are based on the Poisson distribution (variance-to-mean ratios equal to one). The mathematics for a multi-echelon, multi-indenture optimization are developed in Chapter 5. The problem concerning periodic resupply for repairable items is addressed in Chapters 6 and 7. The associated concept is subsequently illustrated through an example application related to the Space Station Freedom. The main subject of Chapter 8 is the cannibalization problem and the associated mathematics. The last chapter, Chapter 9, of the textbook is dedicated to practical real-world problems relating to modeling and application of models, where both advantages and disadvantages are analyzed.
Undoubtedly, a book of of such great integrity deserves a place on the shelf or any person, library, or organization whose interests lie in the domain of inventory theory and its application to complex systems.

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Most books on inventory theory use the item approach to determine stock levels, ignoring the impact of unit cost, echelon location, and hardware indenture. Optimal Inventory Modeling of Systems is the first book to take the system approach to inventory modeling. The result has been dramatic reductions in the resources to operate many systems - fleets of aircraft, ships, telecommunications networks, electric utilities, and the space station.Although only four chapters and appendices are totally new in this edition, extensive revisions have been made in all chapters, adding numerous worked-out examples. Many new applications have been added including commercial airlines, experience gained during Desert Storm, and adoption of the Windows interface as a standard for personal computer models.

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