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The design and operation of logistic systems is a complex problem of engineering. The optimization of logistic systems … optimization field. The networking of the logistic systems and processes leaded to the development of new heuristic methods and … tools to support the optimization of systems with high complexity. A huge number of logistic problems can be related with …
Persistent link: https://www.econbiz.de/10011252862
production processes, which leaded to the decrease of production depth. The optimization of production depth is not only a … buy problems or outsourcing questions. Within the frame of this paper authors are focusing on the optimization of … heuristic optimization algorithm, which makes it possible to find the optimal production depth in the case of cross related …
Persistent link: https://www.econbiz.de/10011252918
The design and operation of logistic systems is a complex problem of engineering. The optimization of logistic systems … optimization field. The networking of the logistic systems and processes leaded to the development of new heuristic methods and … tools to support the optimization of systems with high complexity. A huge number of logistic problems can be related with …
Persistent link: https://www.econbiz.de/10011241701
production processes, which leaded to the decrease of production depth. The optimization of production depth is not only a … buy problems or outsourcing questions. Within the frame of this paper authors are focusing on the optimization of … heuristic optimization algorithm, which makes it possible to find the optimal production depth in the case of cross related …
Persistent link: https://www.econbiz.de/10011241730
Persistent link: https://www.econbiz.de/10012485436
employed for grade optimization. Firstly, stochastic simulation and regression are used to simulate the uncertainty relations …
Persistent link: https://www.econbiz.de/10010897974
In this paper we explore ways that alleviate problems of nonparametric (artificial neural networks) and parametric option pricing models by combining the two. The resulting enhanced network model is compared to standard artificial neural networks and to parametric models with several historical...
Persistent link: https://www.econbiz.de/10005537400
. Incorporation of this simulation model within an optimization-based management model is very complex and difficult. However, as an … alternative, it is possible to link a simulation model externally with an optimization-based management model. The GA …-based optimization approach is especially suitable for externally linking the numerical simulation model within the optimization model …
Persistent link: https://www.econbiz.de/10010794175
In this paper, the authors address a delivery process with time requirements in the supply chain, stated as follows: orders launched from customers are centralized and assigned to firms' depots for the delivery process. The consideration of a depot and a set of customers belonging to different...
Persistent link: https://www.econbiz.de/10012042967
mean-risk optimization under limited liquidity, including the risk measures absolute and relative Value and Conditional …
Persistent link: https://www.econbiz.de/10011307509