Premium
OR challenges and experiences from solving industrial applications
Author(s) -
Rönnqvist M.
Publication year - 2011
Publication title -
international transactions in operational research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.032
H-Index - 52
eISSN - 1475-3995
pISSN - 0969-6016
DOI - 10.1111/j.1475-3995.2010.00801.x
Subject(s) - implementation , computer science , scheduling (production processes) , process (computing) , cover (algebra) , operations research , risk analysis (engineering) , systems engineering , management science , process management , software engineering , operations management , engineering , mechanical engineering , medicine , operating system
When decision support systems are implemented in practice, a number of special aspects and requirements must often be considered. From an operations research ( OR ) perspective many of these can be very challenging and/or are counterproductive for the stated objective. They can appear in any part of the optimization process that includes problem formulation, modelling, solution and result evaluation. In this paper, we describe and discuss a number of aspects and requirements in industrial implementations where optimization has been a vital planning or execution tool. We discuss the reasons behind the requirements, the OR challenge, how the requirements were approached and implemented and present results and general experience acquired from these implementations. The applications cover tactical, operational and real‐time applications for several areas including transportation, scheduling, routing, inventory and process control.