A Hands-On Introduction to Modeling with the Optimization Programming Language (OPL)
Prof. Stefan Nickel is a Full Professor and Director of the Institute of Operations Research at the Karlsruhe Institute of Technology (KIT), Germany, as well as Director of both the Karlsruhe Service Research Institute (KSRI) and the Research Center for Computer Science (FZI). He is the Editor-in-Chief of the journal Operations Research for Health Care. Since 2019 he has been the VP IFORS on the EURO executive committee and is a member of the AC of IFORS. Prof. Claudius Steinhardt is a Full Professor of Business Analytics and Management Science at the University of the Bundeswehr Munich. His research expertise focuses on revenue management, logistics, and customer choice modeling. He has chaired the Pricing and Revenue Management working group at the German OR Society (GOR) since 2015. Dr. Hans Schlenker is a Data Scientist at the Hoffmann Group, Munich. He worked many years as a Technical Sales Specialist, and as a Product Manager at IBM Deutschland GmbH. He has more than 20 years experience in algorithm development, IT architectures, optimization modeling, and solution design. Dr. Wolfgang Burkart is a tenured Lecturer of Analytics and Optimization at the University of Augsburg. His research focuses on pricing, customer choice modeling, and logistics. For many years he has been developing a range of courses for modeling with the Optimization Programming Language within the IBM ILOG CPLEX Optimization Studio.
Part 1: Lessons.- Chapter 1: Introduction.- Chapter 2: IBM ILOG CPLEX Optimization StudioA primer.- Chapter 3: Setting up a model.- Chapter 4: Data structures and related OPL language elements.- Chapter 5: Introduction to IBM ILOG Script.- Chapter 6: Modeling with tuples.- Chapter 7: Separating model and data.- Chapter 8: Selected features of OPL and CPLEX Optimization Studio.- Chapter 9: Selected features of IBM ILOG Script.- Chapter 10: Flow control with ILOG Script.- Part 2: Application studies.- Chapter 11: Covering location planning.- Chapter 12: Fleet sizing.- Chapter 13: Location planning.- Chapter 14: Transportation planning.- Chapter 15: Revenue Management.- Chapter 16: Lot sizing.