000			04374nam a22003377a 4500
003			OSt
005			20260910180935.0
008			260910s2025 ph a|||er|||| 00| 0 eng d
020			_a9786214272631 [newsprint]
040			_aUniversity of Cebu-Banilad _cUniversity of Cebu-Banilad
100			_aGarcia, Lorma S.P., _eauthor.
245			_aManagement science : _bharnessing quantitative methods for organizational success / _cby Dr. Lorma S.P. Garcia and Atty. Prackie Jay T. Acaylar, CPA.
260			_aQuezon City, Philippines : _bUnlimited Books Library Services & Publishing Inc., _cc2025.
300			_axii, 298 pages : _billustrations (black and white) ; _c25.4 pages.
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
504			_aIncludes bibliographical references.
505			_aContents: Preface — Pedagogical Aids — Acknowledgement — Part I - Foundations of management science and linear programming — Part II - Strategic decision analysis and forecasting techniques — Part III - Optimizing operations: inventory management, TQM, EOQ, and Six Sigma for excellence — Part IV - Modeling efficiency: transportation, assignment, queueing systems, and poisson distribution — Part V - Mastering projecting excellence: PERT/CPM and Monte Carlo techniques — References.
520			_a"As organizations navigate, the challenges of globalization, technological advancements, and competitive pressures, the ability to make informed, data-driven decisions has never been more critical. The structure of this book reflects a deliberate effort to build a solid understanding of the core concepts before exploring their practical implications. Readers will first delve into the fundamental principles of Management Science, including problem formulation, modeling, and optimization. Subsequent chapters address specialized topics like transportation models, PERT/CPM for project scheduling, and Six Sigma for quality management, ensuring a well-rounded perspective on the subject. From foundational topics like linear programming and inventory management to advanced techniques such as Monte Carlo simulations and forecasting models, this book covers a wide spectrum of methods essential for operational excellence. This book is designed to serve a diverse audience. For students, it provides a solid foundation for academic and professional growth. For managers and practitioners, it offers actionable insights and tools to drive efficiency, reduce costs, and enhance decision-making. For researchers, it highlights the evolving landscape of Management Science, fostering curiosity and innovation. Disclaimer: The authors acknowledge that the theories, principles, and methodologies discussed in this book are built upon the foundational works and significant contributions of esteemed researchers, mathematicians, and practitioners in the field of Management Science. While every effort has been made to present the concepts clearly, accurately, and cohesively, we do not claim full originality of the content. This book is intended as a comprehensive synthesis of established knowledge and practical applications, thoughtfully organized to enhance learning and understanding for students and professionals alike. As you embark on this journey through the world of Management Science, we encourage you to approach the concepts with curiosity and a problem-solving mindset. The methodologies discussed in this book are not merely abstract theories but practical tools with the potential to transform organizational performance. Whether you are planning a project, optimizing a supply chain, or forecasting market trends, the principles of Management Science will guide you toward better decisions and greater success. We hope it inspires you to embrace the power of quantitative methods and leverage them to address the challenges and opportunities of the modern world." —Preface
521			_aAdult
541			_aPurchased _xLauron, Rodello _yCollege of Business and Accountancy _zBusiness / Management
546			_aText in English
650			_aManagement science.
650			_aQuantitative methods.
650			_aOrganizational success.
700			_aAcaylar, Prackie Jay T., _eauthor.
942			_2ddc _cBK
998			_cLeslie [new] _d09/10/2026
999			_c15655 _d15655