<?xml version="1.0" encoding="UTF-8"?>
<xml><records><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Marcus Brandenburg</style></author><author><style face="normal" font="default" size="100%">Franz-Josef Tölle</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">MILP-based campaign scheduling in a specialty chemicals plant: a case study</style></title></titles><keywords><keyword><style face="normal" font="default" size="100%">Supply chain management</style></keyword><keyword><style face="normal" font="default" size="100%">Campaign planning and scheduling</style></keyword><keyword><style face="normal" font="default" size="100%">Chemical process industry</style></keyword><keyword><style face="normal" font="default" size="100%">MILP</style></keyword><keyword><style face="normal" font="default" size="100%">Advanced planning systems</style></keyword></keywords><dates><year><style face="normal" font="default" size="100%">2009</style></year></dates><secondary-title><style face="normal" font="default" size="100%">Supply Chain Planning</style></secondary-title><urls><style face="normal" font="default" size="100%">https://link.springer.com/chapter/10.1007/978-3-540-93775-3_12</style></urls><keyword><style face="normal" font="default" size="100%"/></keyword><electronic-resource-num><style face="normal" font="default" size="100%">10.1007/978-3-540-93775-3_12</style></electronic-resource-num><section><style face="normal" font="default" size="100%">pp 315-340</style></section><abstract><style face="normal" font="default" size="100%">Supply  chain  management  in  chemical  process  industry  focuses  onproduction planning and scheduling to reduce production cost and inventories andsimultaneously increase the utilization of production capacities and the service level.These  objectives  and  the  specific  characteristics  of  chemical  production  processesresult in complex planning problems. To handle this complexity, advanced planningsystems (APS) are implemented and often enhanced by tailor-made optimization algo-rithms. In this article, we focus on a real-world problem of production planning arisingfrom a specialty chemicals plant. Formulations for finished products comprise severalproduction and refinement processes which result in all types of material flows. Mostprocesses cannot be operated on only one multi-purpose facility, but on a choice ofdifferent facilities. Due to sequence dependencies, several batches of identical pro-cesses are grouped together to form production campaigns. We describe a methodfor multicriteria optimization of short- and mid-term production campaign schedulingwhich is based on a time-continuous MILP formulation. In a preparatory step, deter-ministic algorithms calculate the structures of the formulations and solve the bills ofmaterial for each primary demand. The facility selection for each production campaignis done in a first MILP step. Optimized campaign scheduling is performed in a secondstep, which again is based on MILP. We show how this method can be successfullyadapted to compute optimized schedules even for problem instances of real-worldsize, and we furthermore outline implementation issues including integration with anAPS.</style></abstract><isbn><style face="normal" font="default" size="100%">978-3-540-93774-6</style></isbn><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><pub-location><style face="normal" font="default" size="100%">Berlin, Heidelberg</style></pub-location></record></records></xml>
