caa a22 4500 445359668 CHVBK 20180317142911.0 cr unu---uuuuu 170323e20110901xx s 000 0 eng 10.1007/s10100-010-0185-0 doi (NATIONALLICENCE)springer-10.1007/s10100-010-0185-0 Integrated supply chain planning based on a combined application of operations research and optimal control [Elektronische Daten] [Dmitry Ivanov, Boris Sokolov, Joachim Kaeschel] In operations research (OR), remarkable advancements have been achieved in the domain of supply chain (SC) planning for the last two decades. In recent years, the works on SCs have been broadened to integrate production and transportation planning along with covering the SC dynamics and execution control. Based on a combination of fundamental results of the modern optimal program control (OPC) theory with the optimization methods of OR, an original integrated model of production and transportation planning in the SC is developed. It is shown explicitly how to distribute static and dynamics variables and constraints among the OR and OPC models and interconnect static elements in optimization linear programming model with corresponding dynamic elements in OPC model. This makes it possible to integrate SC production and transportation planning and execution taking into account process non-stationarity caused by structure dynamics. In doing so, the developed framework contributes to the advancing decision-making support for supply chain management (SCM). Conventionally isolated SCM problems may be considered from a different viewpoint and new integrated problems may be revealed, stated and solved due to the mutual enriching of OR and OPC techniques. Springer-Verlag, 2010 Supply chain nationallicence Production nationallicence Transportation nationallicence Planning nationallicence Execution nationallicence Optimal control nationallicence Mathematical programming nationallicence Structure dynamics nationallicence SC : Supply chain nationallicence SCM : Supply chain management nationallicence OPC : Optimal program control nationallicence OR : Operations research nationallicence CT : Control theory nationallicence Ivanov Dmitry Faculty of Economics and Business Administration, Chemnitz University of Technology, 09107, Chemnitz, Germany aut Sokolov Boris Russian Academy of Science, St. Petersburg Institute of Informatics and Automation, 39, 14 Linia, VO, 199178, St. Petersburg, Russia aut Kaeschel Joachim Faculty of Economics and Business Administration, Chemnitz University of Technology, 09107, Chemnitz, Germany aut Central European Journal of Operations Research Springer-Verlag 19/3(2011-09-01), 299-317 1435-246X 19:3<299 2011 19 10100 https://doi.org/10.1007/s10100-010-0185-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10100-010-0185-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ivanov Dmitry Faculty of Economics and Business Administration, Chemnitz University of Technology, 09107, Chemnitz, Germany aut NATIONALLICENCE 700 1- Sokolov Boris Russian Academy of Science, St. Petersburg Institute of Informatics and Automation, 39, 14 Linia, VO, 199178, St. Petersburg, Russia aut NATIONALLICENCE 700 1- Kaeschel Joachim Faculty of Economics and Business Administration, Chemnitz University of Technology, 09107, Chemnitz, Germany aut NATIONALLICENCE 773 0- Central European Journal of Operations Research Springer-Verlag 19/3(2011-09-01), 299-317 1435-246X 19:3<299 2011 19 10100 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer