9781556230400 - Forecasting Systems for Operations Management

Forecasting Systems for Operations Management

'Forecasting Systems for Operations Management' by Stephen Delurgio is a comprehensive guide that delves into the intricacies of forecasting within the realm of operations management. This book serves as an essential resource for professionals and students alike, offering a detailed exploration of forecasting methodologies, tools, and applications. With a focus on practical implementation, Delurgio provides readers with the knowledge to develop, evaluate, and apply forecasting systems effectively in various operational contexts. The book covers a wide range of topics, from basic forecasting principles to advanced techniques, ensuring a thorough understanding of the subject matter. Its clear explanations and real-world examples make complex concepts accessible, making it a valuable addition to any operations management library.

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€33.95
GOED
Auteur Stephen Delurgio
ISBN 9781556230400
Bindwijze Hardcover
Tags Operations Management forecasting Stephen Delurgio business strategy quantitative analysis

Stephen Delurgio's 'Forecasting Systems for Operations Management' stands out as a meticulously researched and well-presented work that bridges the gap between theoretical forecasting models and their practical applications in operations management. The book's strengths lie in its comprehensive coverage of forecasting techniques, from time-series analysis to causal models, and its emphasis on the importance of accuracy and reliability in forecasting. However, some readers may find the technical depth challenging, particularly those new to the subject. Despite this, the inclusion of case studies and practical examples significantly enhances the book's applicability, making it a must-read for those looking to deepen their understanding of forecasting systems.

In 'Forecasting Systems for Operations Management,' Stephen Delurgio offers an in-depth look at the role of forecasting in optimizing operations. The book begins by laying the foundational concepts of forecasting, including its significance in decision-making processes. It then progresses to explore various forecasting methods, such as qualitative and quantitative approaches, and discusses their suitability for different operational scenarios. Delurgio also addresses the challenges of forecasting, including data quality and model selection, providing readers with strategies to overcome these obstacles. The concluding sections of the book focus on the integration of forecasting systems into operational strategies, highlighting their impact on efficiency and competitiveness. This summary encapsulates the book's comprehensive approach to forecasting, making it an invaluable resource for practitioners and academics.