Generation of alternatives for model predictive control in manufacturing systems

  • Authors:
  • Sören Stelzer

  • Affiliations:
  • Ilmenau University of Technology, Ilmenau, Germany

  • Venue:
  • Proceedings of the Winter Simulation Conference
  • Year:
  • 2012

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Abstract

Manufacturing systems are dynamic systems and subject to various internal and external disturbances, which often influence the expected behavior in an undesired way. Additionally, they have to deal with growing uncertainties, flexibility, and high cost pressure. These facts lead to changing circumstances for the decision making process. Decisions have to be made in higher frequency, which directly leads to a shorter time available for finding them. Therefore, a continuous process of decision making or controlling is required to make sure the aimed goals can be achieved. Additionally, the complexity of internal and external processes is rising. This situation impacts the amount of gained data obtainable from attached information systems. So the decision making process cannot be handled anymore by humans (Heilala et al. 2010) and decision makers are forced to use Decision Support Systems (DSS). In case of control of manufacturing systems, the situation is more challenging. Beside the higher frequency of times where decisions are needed, the controller has to evaluate several control alternatives and choose a solution optimal to the current situation. So control of manufacturing has to be performed in an automatically way.