Applied Operational Research with SAS

• Presents the principles behind PROC OPTMODEL and other SAS procedures
• Covers the algorithms and, including assembly line balancing, traveling salesman, critical path analysis, and logistics distribution
• Illustrates the transformation of the minimax-type formu methods for linear programming, integer linear programming, and goal programming models
• Provides practical examples of OR problemslation into a minimization-type formulation
• Demonstrates the use of SAS in multiple criteria decision making and performance measurement, including analytical hierarchy process and data envelopment analysis

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.

• 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: Non-parametric Malmquist Index

Appendices

References

Index

• Ali Emrouznejad is a Professor and Chair in Business Analytics at Aston Business School, UK. His areas of research interest include performance measurement and management, efficiency and productivity analysis as well as data mining and big data. He holds an MSc in applied mathematics and received his PhD in operational research and systems from Warwick Business School, UK. Dr Emrouznejad is editor / associate / member of editorial boards of several scientific journals. He has published over 150 articles and authored / edited several books. Visit: http://emrouznejad.com/ali/

• 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.