Using a wide range of operational research (OR) optimization examples, Applied Operational Research with SAS demonstrates how the OR procedures in SAS work. The book is one of the first to extensively cover the application of SAS procedures to OR problems, such as single criterion optimization, project management decisions, printed circuit board assembly, and multiple criteria decision making. The text begins with the algorithms and methods for linear programming, integer linear programming, and goal programming models. It then describes the principles of several OR procedures in SAS. Subsequent chapters explain how to use these procedures to solve various types of OR problems. Each of these chapters describes the concept of an OR problem, presents an example of the problem, and discusses the specific procedure and its macros for the optimal solution of the problem. The macros include data handling, model building, and report writing. While primarily designed for SAS users in OR and marketing analytics, the book can also be used by readers interested in mathematical modeling techniques.
By formulating the OR problems as mathematical models, the authors show how SAS can solve a variety of optimization problems.
Ali Emrouznejad is a reader in the Operations & Information Management Group at Aston Business School. Dr. Emrouznejad is a senior editor and one of the founding members of the Data Envelopment Analysis Journal and an associate editor of the IMA Journal of Management Mathematics. He is also co-founder of Performance Improvement Management Software (PIM-DEA) and maintains a website for DEA users at www.deazone.com He earned a Ph.D. in operational research and systems from Warwick Business School. His research interests include performance measurement and management, efficiency and productivity analysis, and data mining. William Ho is the BAM course director and a senior lecturer in the Operations & Information Management Group at Aston Business School. Dr. Ho is an editorial board member of the International Journal of Advanced Manufacturing Technology and an associate editor of OR Insights. He earned a Ph.D. in operations research from the Hong Kong Polytechnic University. His research interests include supply chain management, transportation and logistics management, production and operations management, and operations research.
Operational Research, Algorithms, and Methods Linear Programming Integer Linear Programming Goal Programming SAS for Operational Research including PROC OPTMODEL Transportation Models Transportation Problem Assignment Problem Transshipment Problem Network Models Minimum-Cost Capacitated Flow Problem Maximum Flow Problem Shortest Path Problem Project Scheduling Critical Path Analysis Program Evaluation and Review Technique (PERT) Layout Decision Assembly Line-Balancing Problem Traveling Salesman Problem Traveling Salesman Problem (TSP) Printed Circuit Board Production Planning Printed Circuit Board (PCB) Assembly Line Assignment Problem PCB Component Allocation Problem PCB Component-Sequencing Problem for PAP Machines Multiple-Criteria Decision Making Multiple-Criteria Logistics Distribution Problem: Analytic Hierarchy Process Multiple-Criteria Logistics Distribution Problem: Logistics Distribution Network Decision Making and Efficiency Measurement Multiple-Criteria Preference Ranking: Ordered Weighted Averaging (OWA) Efficiency Measurement: Data Envelopment Analysis (DEA) Productivity Measurement: Nonparametric Malmquist Index Appendices References Index
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