Decision Optimization with IBM ILOG CPLEX Optimization Studio: A Hands-On Introduction to Modeling with the Optimization Programming Language (OPL) (Graduate Texts in Operations Research) - Tapa dura

Acerca del autor

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.

De la contraportada

This textbook offers a comprehensive, up-to-date introduction to the Optimization Programming Language (OPL). Embedded in the IBM ILOG CPLEX Optimization Studio with its solver engine CPLEX, OPL has been popular for years not only for academic and scientific purposes, but also among practitioners who need to model and solve large-scale real-world business optimization problems. The book covers the recent features of the software and includes ten consecutive tutorials, each with additional exercises, as well as several comprehensive application studies.The book is specifically designed for advanced undergraduate and graduate courses in e.g. management science, operations research, computer science, mathematics, mathematical economics, and industrial engineering. It can also serve as self-study material for practitioners whose work involves the modeling and optimization of planning and decision problems and who need a sound introduction to the software.

Solutions to the exercises as well as the source codes from the textbook are available for download (weblink included).