Quantitative Analysis for Management

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. This print textbook is available for students to rent for their classes. The Pearson print rental program provides students with affordable access to learning materials, so they come to class ready to succeed. For courses in management science and decision modeling.   Foundational understanding of management science through real-world problems and solutions Quantitative Analysis for Management helps readers to develop a real-world understanding of business analytics, quantitative methods, and management science by emphasizing model building, tangible examples, and computer applications. The authors offer an accessible introduction to mathematical models and then readers apply those models using step-by-step, how-to instructions. For more intricate mathematical procedures, the 13th Edition offers a flexible approach, allowing readers to omit specific sections without interrupting the flow of the material.

Table of Contents:
Brief Contents Introduction to Quantitative Analysis Probability Concepts and Applications Decision Analysis Regression Models Forecasting Inventory Control Models Linear Programming Models: Graphical and Computer Methods Linear Programming Applications Transportation, Assignment, and Network Models Integer Programming, Goal Programming, and Nonlinear Programming Project Management Waiting Lines and Queuing Theory Models Simulation Modeling Markov Analysis Statistical Quality Control Online Module 1: Analytic Hierarchy Process Online Module 2: Dynamic Programming Online Module 3: Decision Theory and the Normal Distribution Online Module 4: Game Theory Online Module 5: Mathematical Tools: Determinants and Matrices Online Module 6: Calculus-Based Optimization Online Module 7: Linear Programming: The Simplex Method Online Module 8: Transportation, Assignment, and Network Algorithms

About the Author :
Barry Render is Professor Emeritus, the Charles Harwood Distinguished Professor of Operations Management, Crummer Graduate School of Business, Rollins College, Winter Park, Florida. He received his BS in Mathematics and Physics at Roosevelt University and his MS in Operations Research and his PhD in Quantitative Analysis at the University of Cincinnati. He previously taught at George Washington University, the University of New Orleans, Boston University, and George Mason University, where he held the Mason Foundation Professorship in Decision Sciences and was Chair of the Decision Science Department. Render has also worked in the aerospace industry for General Electric, McDonnell Douglas, and NASA.   Render has coauthored 10 textbooks published by Pearson, including Managerial Decision Modeling with Spreadsheets, Operations Management, Principles of Operations Management, Service Management, Introduction to Management Science, and Cases and Readings in Management Science. More than 100 articles of Dr. Render on a variety of management topics have appeared in Decision Sciences, Production and Operations Management, Interfaces, Information and Management, Journal of Management Information Systems, Socio-Economic Planning Sciences, IIE Solutions, and Operations Management Review, among others.   Render has been honored as an AACSB Fellow and was named twice as a Senior Fulbright Scholar. He was Vice President of the Decision Science Institute Southeast Region and served as software review editor for Decision Line for six years and as Editor of the New York Times Operations Management special issues for five years. From 1984 to 1993, Render was President of Management Service Associates of Virginia, Inc., whose technology clients included the FBI, the US Navy, Fairfax County, Virginia, and C&P Telephone. He is currently Consulting Editor to Financial Times Press.   Render has taught operations management courses at Rollins College for MBA and Executive MBA programs. He has received that school’s Welsh Award as leading professor and was selected by Roosevelt University as the 1996 recipient of the St. Claire Drake Award for Outstanding Scholarship. In 2005, Render received the Rollins College MBA Student Award for Best Overall Course, and in 2009 was named Professor of the Year by full-time MBA students.     Ralph Stair is Professor Emeritus at Florida State University. He earned a BS in chemical engineering from Purdue University and an MBA from Tulane University. Under the guidance of Ken Ramsing and Alan Eliason, he received a PhD in operations management from the University of Oregon. He has taught at the University of Oregon, the University of Washington, the University of New Orleans, and Florida State University.   He has taught twice in Florida State University’s Study Abroad Program in London. Over the years, his teaching has been concentrated in the areas of information systems, operations research, and operations management.   Stair is a member of several academic organizations, including the Decision Sciences Institute and INFORMS, and he regularly participates in national meetings. He has published numerous articles and books, including Managerial Decision Modeling with Spreadsheets, Introduction to Management Science, Cases and Readings in Management Science, Production and Operations Management: A Self-Correction Approach, Fundamentals of Inform