04243nam a22003137a 4500003000400000005001700004008004100021020003000062040005900092100003300151245013800184260009200322300006600414336002100480337002500501338002300526504004100549505037900590520258000969521001003549541008303559546002003642650002403662650002503686942001203711998002903723999001703752952016003769OSt20260914174726.0260914s2025    ph ad||er|||| 00| 0 eng d  a9786214272655 [newsprint]  aUniversity of Cebu-BaniladcUniversity of Cebu-Banilad  aGarcia, Lorma S.P.,eauthor.  aQuantitative techniques in business :bleveraging data-driven insights for strategic decision-making /cLorma S.P. Garcia, DBA, Ph.D.  aQuezon City, Philippines :bUnlimited Books Library Services & Publishing Inc.,cc2025.  axii, 289 pages :billustrations (black and white) ;c25.5 cm.  2rdacontentatext  2rdamediaaunmediated  2rdacarrieravolume  aIncludes bibliographical references.  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.  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  aAdult  xBiore, ChristopheryCollege of Business and AccountancyzBusiness / Management  aText in English  aManagement science.  aOperations research.  2ddccBK  cLeslie [new]d09/14/2026  c15663d15663  00102ddc4070aUCBL_MAINbUCBL_MAINcFILd2026-09-14eALBASA-Readers Knowledgeg620.00l0o658.4033 G16 2025p3UCBL000029846r2026-09-14w2026-09-14yFIL