@article{823350,
      author = {Hübl, Alexander,},
      url = {http://library.usi.edu/record/823350},
      title = {Stochastic modelling in production planning : methods for  improvement and investigations on production system  behaviour /},
      abstract = {Alexander Hübl develops models for production planning  and analyzes performance indicators to investigate  production system behaviour. He extends existing literature  by considering the uncertainty of customer required lead  time and processing times as well as by increasing the  complexity of multi-machine multi-items production models.  Results are on the one hand a decision support system for  determining capacity and the further development of the  production planning method Conwip. On the other hand, the  author develops the JIT intensity and analytically proves  the effects of dispatching rules on production lead time.  Contents Utilisation Concept Capacity Setting Methods  Conwip Dispatching Rules Target Groups Researchers and  students in the fields of logistics and operations  management Practitioners in production planning, logistics,  capacity planning The Author Alexander Hübl holds a PhD in  logistics and operations management from University of  Vienna, Austria. He leads the research group Supply Chain  Planning at the department Logistikum at the University of  Applied Sciences Upper Austria. His research interests  include discrete event simulation, agent-based simulation,  queuing theory, stochastic modelling and their applications  in logistics and operations management.},
      doi = {https://doi.org/10.1007/978-3-658-19120-7},
      recid = {823350},
      pages = {1 online resource (xv, 139 pages) :},
}