MTU Cork Library Catalogue

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Forecasting systems for operations management / Stephen DeLurgio and Carl Bhame.

By: DeLurgio, Stephen A.
Contributor(s): Bhame, Carl.
Material type: materialTypeLabelBookSeries: Business One Irwin/APICS series in production management.Publisher: Homewood, Ill. : Business One Irwin, 1991Description: xix, 648 p. : ill. ; 23 cm.ISBN: 1556230400.Subject(s): Production management -- Forecasting -- MethodologyDDC classification: 658.5011
Contents:
Part 1: Introduction to forecasting systems -- Introduction to forecasting systems -- Forecasting systems in operations management -- Integrating forecasting systems -- Part 2: Forecasting system applications -- Manufacturer forecasting -- Manufacturer-distributor forecasting -- Retail, maintenance and remanufacturer forecasting -- Part 3: Introduction to forecasting methods -- Statistical fundamentals for forecasting -- Introduction to forecasting methods -- Comparing and selecting forecasting methods -- Part 4: Forecasting methods -- Simple smoothing methods -- Regression and decomposition methods -- Trend-seasonal and winters' smoothing -- Fourier series and multimodel simulation methods -- Forecast accuracy and system control -- Part 5: Forecasting system design and application -- What and where to forecast -- Forecasting and inventory management -- Forecasting system design and selection -- Part 6: The future of forecasting systems -- Forecasting expert systems and artificial intelligence -- Forecasting and electronic data interchange -- The future of forecasting systems.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
General Lending MTU Bishopstown Library Store Item 658.5011 (Browse shelf(Opens below)) 1 Available 00006488
Total holds: 0

Enhanced descriptions from Syndetics:

Forecasting systems are common to almost all organizations--public, private, product, and service oriented. For both managers and analysts, this volume explains the concepts and principles essential to developing and implementing an effective forecasting system in order to improve customer service, profitability, and return on investment. Annotation(c) 2003 Book News, Inc., Portland, OR (booknews.com)

Includes bibliographical references and index.

Part 1: Introduction to forecasting systems -- Introduction to forecasting systems -- Forecasting systems in operations management -- Integrating forecasting systems -- Part 2: Forecasting system applications -- Manufacturer forecasting -- Manufacturer-distributor forecasting -- Retail, maintenance and remanufacturer forecasting -- Part 3: Introduction to forecasting methods -- Statistical fundamentals for forecasting -- Introduction to forecasting methods -- Comparing and selecting forecasting methods -- Part 4: Forecasting methods -- Simple smoothing methods -- Regression and decomposition methods -- Trend-seasonal and winters' smoothing -- Fourier series and multimodel simulation methods -- Forecast accuracy and system control -- Part 5: Forecasting system design and application -- What and where to forecast -- Forecasting and inventory management -- Forecasting system design and selection -- Part 6: The future of forecasting systems -- Forecasting expert systems and artificial intelligence -- Forecasting and electronic data interchange -- The future of forecasting systems.

Reviews provided by Syndetics

CHOICE Review

DeLurgio (University of Missouri) and Bhame (American Software, Inc.) present a comprehensive approach to forecasting with respect to operations management. In addition, their presentation can readily be applied to areas of business other than operations management. This book is unique in treating forecasting as a system, rather than simply as a collection of methods. The work is well organized and handles technical materials in a clear, readable style that can be understood by readers with modest technical background. The importance and role of forecasting in operations management is thoroughly covered. Unusual features include discussions of forecasting system design, the use of expert systems and artifical intelligence, electronic data interchange in forecasting, and a look into the future of forecasting systems. The authors include excellent descriptions of the most important forecasting methods, even a few not usually included in a book of this type, e.g., Fourier series. The text is supported by tables, an excellent glossary, and a few chapter references. For a more hands-on approach to the topic, further reading will be necessary, e.g., Spyros Makridakis et al., Forecasting: Methods and Applications (2nd ed., 1983). Highly recommended for community college through graduate level audiences as well as professionals.-W. C. Struning, Seton Hall University

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