Mark Aufenanger

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Reducing costs, improving quality, shortening the time-to-market, and at the same time act and think sustainable are major challenges for manufacturing industries. To strive towards these objectives, discrete event simulation (DES) has proven to be an effective tool for production system decision support. Large companies continuously log raw data, and are(More)
In a manufacturing planning and control system, a change of system environment or of the production requirements may invalidate the current production schedule. In that case, rescheduling as a self-adaption function of the system is necessary for generating a new schedule, regarding the current state of the production system. This rescheduling process is(More)
The requirements on production systems and their planning and control systems are constantly growing. Systems have to be flexible and provide viable solutions at the same time. Different planning and control approaches, such as optimization, simulation and combination of techniques etc., that attempt to solve the scheduling problems are available.(More)
Mechatronic systems are a relatively new class of technical systems. The integration of electromechanical systems with hardand software enables systems that adapt to changing operation conditions and externally defined objective functions. To gain superior system performance from this ability, sophisticated decision making processes are required. Planning(More)
Today simulation is essential when researching manufacturing processes or designing production systems. But in the field of manufacturing, simulation can not only be used for purposes of research or design, it can also be utilized by flow control systems in order to make better and faster decisions. In this paper we focus on real-time scheduling in a(More)
In this paper the ideas of a new research project are presented. The material flow simulator dFACT insight shall manage multiple parallel and time synchronous simulations to grand the power of real-time visualization in combination with statistical analysis. This research is issued to overcome the conflict of simulation run repetition for a good statistical(More)
Even today rescheduling in job-shop systems is still a challenge. There are approaches to solve the problem like analytical, heuristic and simulation ones. Analytical methods cannot meet the requirements of rescheduling regarding solution time, especially for large problem instances. Analytic approaches as well as simulation based systems need a long(More)
Nowadays, markets are changing frequently and so are the orders that were placed. Therefore, the time from ordering a product until the delivery date becomes shorter and shorter. Furthermore, production systems are subject to different exogenous and endogenous disturbances like machine breakdowns, urgent orders, material failures and so on due to companies(More)