Details
| Original language | English |
|---|---|
| Pages (from-to) | 417-422 |
| Number of pages | 6 |
| Journal | CIRP Annals - Manufacturing Technology |
| Volume | 54 |
| Issue number | 1 |
| Publication status | Published - 2005 |
Abstract
Different types of models are used to describe the interdependences between logistic performance measures of production systems in research and practice. The most widely known analytical models in this field are queuing theory models. Simulation, on the other hand, is a widespread technique for the exploration, design and optimisation of complex production systems. Due to the limitations of queuing and simulation models, a mathematical approximation approach developed at the Institute of Production Systems and Logistics is becoming more relevant: the Logistic Operating Curves. The paper introduces the theory of these three modelling methods and compares as well as differentiates them.
Keywords
- Management, Optimisation, Production
ASJC Scopus subject areas
- Engineering(all)
- Mechanical Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: CIRP Annals - Manufacturing Technology, Vol. 54, No. 1, 2005, p. 417-422.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Applying simulation and analytical models for logistic performance prediction
AU - Nyhuis, Peter
AU - Von Cieminski, Gregor
AU - Fischer, Andreas
PY - 2005
Y1 - 2005
N2 - Different types of models are used to describe the interdependences between logistic performance measures of production systems in research and practice. The most widely known analytical models in this field are queuing theory models. Simulation, on the other hand, is a widespread technique for the exploration, design and optimisation of complex production systems. Due to the limitations of queuing and simulation models, a mathematical approximation approach developed at the Institute of Production Systems and Logistics is becoming more relevant: the Logistic Operating Curves. The paper introduces the theory of these three modelling methods and compares as well as differentiates them.
AB - Different types of models are used to describe the interdependences between logistic performance measures of production systems in research and practice. The most widely known analytical models in this field are queuing theory models. Simulation, on the other hand, is a widespread technique for the exploration, design and optimisation of complex production systems. Due to the limitations of queuing and simulation models, a mathematical approximation approach developed at the Institute of Production Systems and Logistics is becoming more relevant: the Logistic Operating Curves. The paper introduces the theory of these three modelling methods and compares as well as differentiates them.
KW - Management
KW - Optimisation
KW - Production
UR - http://www.scopus.com/inward/record.url?scp=21944439342&partnerID=8YFLogxK
U2 - 10.1016/S0007-8506(07)60135-8
DO - 10.1016/S0007-8506(07)60135-8
M3 - Article
AN - SCOPUS:21944439342
VL - 54
SP - 417
EP - 422
JO - CIRP Annals - Manufacturing Technology
JF - CIRP Annals - Manufacturing Technology
SN - 0007-8506
IS - 1
ER -