- Gebundene Ausgabe: 321 Seiten
- Verlag: Springer; Auflage: 2006 (24. April 2006)
- Sprache: Englisch
- ISBN-10: 3540225617
- ISBN-13: 978-3540225614
- Größe und/oder Gewicht: 16,3 x 2,5 x 24 cm
- Durchschnittliche Kundenbewertung: Schreiben Sie die erste Bewertung
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- Nr. 4896 in Fremdsprachige Bücher > Wissenschaft > Mathematik > Angewandte Mathematik
- Komplettes Inhaltsverzeichnis ansehen
Real Optimization with SAP® APO (Englisch) Gebundene Ausgabe – 24. April 2006
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From the reviews:
"‘SAP APO’ stands for ‘SAP Advanced Planning and Optimizer.’ … I recommend this book for personnel in corporations and governmental entities contemplating improving supply chain operations with SAP software. The book may also be of more general interest to operations researchers and mathematical optimization professionals, especially those interested in mixed integer linear programs, those wanting to keep their academic activities relevant to real-world concerns, and those wishing to gain experience in commercial applications." (R. Baker Kearfott, SIAM Review, Vol. 49 (2), 2007)
“This book presents results on how to solve industrial optimization problems using APO from SAP. … This book is a comprehensive introduction to SAP APO, its opportunities and limits using interesting examples arising in practice. The book is equally interesting for use in undergraduate university courses as well as for practitioners.” (Erwin Pesch, Zentralblatt MATH, Vol. 1214, 2011)
This book describes and demonstrates how SAP APO can be used to tackle real optimization problems arising in the industry. In a unique combination, it deals with the aspects of model-building as well as with the implementation in commercial supply chain management software, SAP APO being a typical example of an advanced planning system (APS). The authors address readers involved in optimization projects in which SAP and, particularly, SAP APO are implemented in companies. These are the project designers, projects leaders, the IT personnel inside the companies, but also operations research practitioners, supply chain management consultants, and decision makers in the area of tool selection for optimization tasks.
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This book will save you some grief in the decision-making process up-front, but it is not a how-to manual. At the time of writing the authors did not know of many live implementations of the SNP optimizer. The focus is on pre-implementation decisions and implementation. There is a lot of talk about what in SNP is technically possible, but not advised and could yield an impractical implementation. The book provides a good perspective for experienced practitioners of optimization modeling.
In the book, authors share valuable implementation lessons of building and tuning LP models for large-scale constrained supply planning. For me, most memorable points were:
• You have to know what you are doing. This includes basic expertise in LP. You also have to figure out how to use LP methods for your particular supply network configuration. This makes the process of building the planning model the most important organizational outcome of the implementation, with the model itself being second. Third would be ongoing maintenance and support, i.e. somebody should concern themselves with retaining and enhancing this organizational learning.
• To avoid wasted effort and bitter disappointment at the end, it is recommended to use a parallel model design using a third-party tool, such as FICO-Xpress to better understand what black box of SNP Optimizer might be doing. Such third-party tool can be used for various testing phases, as well for further education of supply chain planners in optimization methods. If your organization is not receptive to optimization methods, then you have a very large implementation risk on your hands. Actually, it is probably a 100% certainty of implementation failure. Never underestimate cultural issues.
• If desired, it is possible to extend SNP planning methods beyond Heuristics, CTM and built-in CPLEX-based solver. The book describes implementation examples of custom planning algorithms via APO Optimization Extension Bench (APO APX).
Speaking of software implementations…In this reviewer’s opinion, reading pleasure from the book could be nicely complemented by 2014 paper by Mssrs. Blackburn, Kallrath and Klosterhalfen, titled Operations Research in BASF’s Supply Chain Operations, where they describe how LP is made to work at BASF. It can be found here: http://www.astro.ufl.edu/~kallrath/files/bkk2014.pdf
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