04125nam a22003137a 4500 OSt 20260914174726.0 260914s2025 ph ad||er|||| 00| 0 eng d 9786214272655 [newsprint] University of Cebu-Banilad University of Cebu-Banilad Garcia, Lorma S.P., author. Quantitative techniques in business : leveraging data-driven insights for strategic decision-making / Lorma S.P. Garcia, DBA, Ph.D. Quezon City, Philippines : Unlimited Books Library Services & Publishing Inc., c2025. xii, 289 pages : illustrations (black and white) ; 25.5 cm. rdacontent text rdamedia unmediated rdacarrier volume Includes bibliographical references. Contents: Preface — Pedagogical Aids — Acknowledgement — Part I — Foundations of quantitative techniques, descriptive statistics, and linear equations — Part II — Probability and strategic decision making — Part III — Transportation and forecasting models — Part IV — Inventory management, total quality excellence, and power of six sigma — References. "In an era where businesses are driven by data and precision, the ability to apply quantitative techniques to decision-making has emerged as a critical competency. From optimizing operations to forecasting future trends, the mastery of these tools allows organizations to achieve efficiency, accuracy, and innovation. This book provides a comprehensive guide to understanding and applying these powerful methods in real-world business contexts. The book begins by emphasizing the pivotal role of quantitative techniques in decision-making, demonstrating how data-driven approaches enable organizations to solve complex problems and make informed decisions. Readers are introduced to the foundations of descriptive statistics, which serve as the backbone of data analysis, enabling the interpretation and summarization of large datasets with clarity and precision. Building on this foundation, the text explores linear equations and inequalities, which are instrumental in solving optimization problems and modeling business scenarios. These mathematical tools provide the framework for efficient resource allocation and strategic planning. The inclusion of probability and decision-making offers insights into assessing risk and uncertainty, allowing businesses to make calculated choices in volatile environments. The book also delves into practical applications through sections on transportation and forecasting models. These methods are indispensable for logistics, supply chain management, and predicting market trends, equipping professionals with the tools to address critical challenges and stay ahead in competitive markets. Further, the text extends into operational excellence with topics on Inventory and Total Quality Management. Here, readers will learn how to minimize costs, enhance productivity, and ensure customer satisfaction through systematic approaches. The integration of Six Sigma principles underscores the importance of process improvement and defect reduction in achieving long-term success. Disclaimer: The author acknowledges that the theories, principles, and methodologies presented in this book are derived from foundational works and contributions made by renowned researchers, mathematicians, and practitioners in the field of Quantitative Techniques. While every effort has been made to present the concepts clearly and cohesively, the author does not claim full originality of the content. This book serves as a synthesis of established knowledge and practical applications, organized to facilitate learning and understanding." —Preface Adult Biore, Christopher College of Business and Accountancy Business / Management Text in English Management science. Operations research. ddc BK Leslie [new] 09/14/2026 15663 15663 0 0 ddc 0 0 UCBL_MAIN UCBL_MAIN FIL 2026-09-14 ALBASA-Readers Knowledge 620.00 0 658.4033 G16 2025 3UCBL000029846 2026-09-14 2026-09-14 FIL