具體描述
Quantitative Analysis for Management helps students 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 students apply those models using step-by-step, how-to instructions. For more intricate mathematical procedures, the 13th Edition offers a flexible approach, allowing instructors to omit specific sections without interrupting the flow of the material. Supporting computer software enables instructors to focus on the managerial problems and solutions, rather than spending valuable class time on the details of algorithms.
The authors offer an accessible introduction to mathematical models and then students apply those models using step-by-step, how-to instructions. For more intricate mathematical procedures, the 13th Edition offers a flexible approach, allowing instructors to omit specific sections without interrupting the flow of the material. Supporting computer software enables instructors to focus on the managerial problems and solutions, rather than spending valuable class time on the details of algorithms.
著者信息
作者簡介
Barry Render
現職：Graduate School of Business, Rollins College
Michael E. Hanna
現職：University of Houston-Clear Lake
Ralph M. Stair, Jr.
現職：Florida State University
Trevor S. Hale
現職：University of Houston-Downtown
Barry Render
現職：Graduate School of Business, Rollins College
Michael E. Hanna
現職：University of Houston-Clear Lake
Ralph M. Stair, Jr.
現職：Florida State University
Trevor S. Hale
現職：University of Houston-Downtown
圖書目錄
Ch 1 Introduction to Quantitative Analysis
Ch 2 Probability Concepts and Applications
Ch 3 Decision Analysis
Ch 4 Regression Models
Ch 5 Forecasting
Ch 6 Inventory Control Models
Ch 7 Linear Programming Models: Graphical and Computer Methods
Ch 8 Linear Programming Applications
Ch 9 Transportation and Assignment Models
Ch10 Integer Programming, Goal Programming, and Nonlinear Programming
Ch11 Project Management
Ch12 Waiting Lines and Queuing Theory Models
Ch13 Simulation Modeling
Ch14 Markov Analysis
Ch15 Statistical Quality Control
Ch 2 Probability Concepts and Applications
Ch 3 Decision Analysis
Ch 4 Regression Models
Ch 5 Forecasting
Ch 6 Inventory Control Models
Ch 7 Linear Programming Models: Graphical and Computer Methods
Ch 8 Linear Programming Applications
Ch 9 Transportation and Assignment Models
Ch10 Integer Programming, Goal Programming, and Nonlinear Programming
Ch11 Project Management
Ch12 Waiting Lines and Queuing Theory Models
Ch13 Simulation Modeling
Ch14 Markov Analysis
Ch15 Statistical Quality Control
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