000			04125nam a22003137a 4500
003			OSt
005			20260914174726.0
008			260914s2025 ph ad||er|||| 00| 0 eng d
020			_a9786214272655 [newsprint]
040			_aUniversity of Cebu-Banilad _cUniversity of Cebu-Banilad
100			_aGarcia, Lorma S.P., _eauthor.
245			_aQuantitative techniques in business : _bleveraging data-driven insights for strategic decision-making / _cLorma S.P. Garcia, DBA, Ph.D.
260			_aQuezon City, Philippines : _bUnlimited Books Library Services & Publishing Inc., _cc2025.
300			_axii, 289 pages : _billustrations (black and white) ; _c25.5 cm.
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
504			_aIncludes bibliographical references.
505			_aContents: 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.
520			_a"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
521			_aAdult
541			_xBiore, Christopher _yCollege of Business and Accountancy _zBusiness / Management
546			_aText in English
650			_aManagement science.
650			_aOperations research.
942			_2ddc _cBK
998			_cLeslie [new] _d09/14/2026
999			_c15663 _d15663