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This book includes a selection of refereed papers presented at the
"Annual International Conference of the German Operations Research
Society (OR2016)," which took place at the
Helmut-Schmidt-Universitat / Universitat der Bundeswehr Hamburg,
Germany, Aug. 30 - Sept. 2, 2016. Over 700 practitioners and
academics from mathematics, computer science, business/economics,
and related fields attended the conference. The scientific program
included around 475 presentations on the theme Analytical Decision
Making, focusing on the process of researching complex decision
problems and devising effective solution methods towards better
decisions. The book presents papers discussing classical
mathematical optimization, statistics and simulation techniques.
Such approaches are complemented by computer science methods and
tools for the processing of data and the design and implementation
of information systems. The book also examines recent advances in
information technology, which allow big data volumes to be treated
and enable real-time predictive and prescriptive business analytics
to drive decisions and actions. Further, it includes problems
modeled and treated under consideration of uncertainty, risk
management, behavioral issues, and strategic decision situations.
This book introduces students on Multiple Criteria Decision Aiding
and Making courses to practical, real-world cases. Each case study
introduces a problem or situation together with a method, and a
description and explanation of a computer application. In this
sense each chapter is based on four pillars: the problem, the model
building, the methods and their implementation. The book presents
and elaborates a rich and comprehensive set of practical problems
comprising multiple criteria, including numerous approaches for
their solution, for decision support or decision aid. It
complements traditional textbooks and lecture material by employing
case studies to promote a deeper understanding of the investigated
concepts and help students apply these methods to other areas.
Most developed economics show the tendency of an increasing
importance of modern services such as tourism, logistical services,
finance, and others. In many cases, complex optimization problems
can be found in this context, and the successful operation of
modern services often depends on the ability to solve the obtained
optimization models. Metaheuristics on the other hand present an
interesting problem-resolution paradigm that has attracted
considerable interest in past years. The book combines a set of
selected and peer-reviewed articles, presenting novel results of
metaheuristics for modern services. In particular, applications in
the area of transportation and logistics are considered, while
other areas include production and financial services. Novel
methodological approaches as well as improved results are obtained,
resulting in a considerable contribution to the state-of-the-art of
research in metaheuristics.
Insbesondere fur Fragen des Flow Shop Scheduling zeigt Martin Josef
Geiger Problemstrukturen und lokale Suchoperatoren auf. Er stellt
das verbesserte metaheuristische Suchkonzept Pareto Iterated Local
Search vor, das bekannten und etablierten Verfahren signifikant
uberlegen ist. Die in diesem Kontext erstellte Implementierung des
Optimierungssystems MOOPPS wurde mit dem in Ronneby (Schweden)
verliehenen European Academic Software Award 2002 ausgezeichnet.
In diesem Band beschreiben rund 20 ExpertInnen aus Wissenschaft und
Praxis aktuelle Entwicklungsperspektiven in Themenfeldern aus
Produktion und Logistik. Sie zeigen, welche Konzepte im Mittelpunkt
der zugehorigen wirtschaftswissenschaftlichen Forschung stehen und
beschreiben ihre Umsetzung."
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