The Decision Data Base (Classic Reprint) - Softcover

Shapiro, Jeremy F.

 
9781332257201: The Decision Data Base (Classic Reprint)

Synopsis

This book introduces the Decision Data Base (DDB), a resource for business decision-making. The author emphasizes its value in analyzing complex, data-intensive problems in value chain management and financial decision-making. The DDB is constructed by inductively analyzing business problems to create coherent models. The author presents two case studies demonstrating the DDB's practical significance in logistics and portfolio selection. They highlight the DDB's ability to capture costs, capacities, inventory management, and facilities location decisions, providing a realistic representation of complex business scenarios. The book explores the relationship between business process redesign, integrated planning, and the DDB. It emphasizes the role of mathematical programming models in unraveling complex interactions and ripple effects that make integrated planning challenging. The DDB, complemented by business process software, facilitates effective decision-making and promotes coordinated planning within organizations. This book serves as a valuable guide for managers seeking to enhance their decision-making capabilities. Its insights help readers understand the DDB's construction, meaning, and use in various business applications. By leveraging the DDB, organizations can make informed and strategic decisions, ultimately improving their performance and achieving their business objectives.

"synopsis" may belong to another edition of this title.

Product Description

Excerpt from The Decision Data Base Advanced Decision Support Systems based on mathematical programming models receive input data from Decision Data Bases (Ddb) that are derived from, but different than, corporate data bases. This paper elaborates on the concept of the Ddb, its derivation, and its practical significance. Two specific Ddb sare examined in detail, one addressing integrated logistics planning and the other addressing dedicated portfolio optimization. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.

About the Author

Jeremy Shapiro is a professor emeritus in the Sloan School of Management at MIT. For nine years he served as the co-director of MIT's Operations Research Center. Previously, he was employed by Procter and Gamble, Hughes Aircraft Company, and the Port of New York Authority. He received his B.M.E. and M.I.E. degrees from Cornell University and a Ph.D. degree in Operations Research from Stanford University. Dr. Shapiro has published over 60 papers in the areas of operations research, mathematical programming, logistics, supply chain management, finance, and marketing. He is also president of SLIM Technologies, LLC, a Boston-based firm specializing in the implementation and application of modeling systems for supply chain management and other business problems. His outside interests include reading, traveling, biking and playing tennis. He is married to Martha J. Heigham and has three children, Alexander, Lara, and Nicholas.

"About this title" may belong to another edition of this title.

Other Popular Editions of the Same Title

9781175827104: The Decision Data Base

Featured Edition

ISBN 10:  117582710X ISBN 13:  9781175827104
Publisher: Nabu Press, 2011
Softcover