Many simulation models have been built to facilitate the use of simulation
in designing, evaluating, and optimizing supply chains. Simulation
is preferred to deal with stochastic natures existing in the supply
chain. Moreover, simulation has a capability to find a local optimum
value within each component through the entire supply chain. Most
supply chain simulation models have been developed on the basis of
discrete-event simulation. Since supply chain systems are neither
completely discrete nor continuous, the need for constructing a model
with aspects of both discrete-event and continuous simulation is
provoked, resulting in a combined discrete–continuous simulation.
In this paper, architecture of combined modeling for supply chain
simulation is proposed, which includes the equation of continuous
portion in the supply chain and how these equations can be used in
the supply chain simulation models. The simple example of a supply
chain model dealing with the strategic level of the supply chain
presented in this paper shows the possibility and the prospect of
this approach.
%0 Journal Article
%1 Lee:2002:cie
%A Lee, Young Hae
%A Cho, Min Kwan
%A Kim, Seo Jin
%A Kim, Yun Bae
%D 2002
%J Computers & Industrial Engineering
%K Supply chain simulation thesis
%N 1-2
%P 375--392
%R 10.1016/S0360-8352(02)00080-3
%T Supply chain simulation with discrete--continuous combined modeling
%V 43
%X Many simulation models have been built to facilitate the use of simulation
in designing, evaluating, and optimizing supply chains. Simulation
is preferred to deal with stochastic natures existing in the supply
chain. Moreover, simulation has a capability to find a local optimum
value within each component through the entire supply chain. Most
supply chain simulation models have been developed on the basis of
discrete-event simulation. Since supply chain systems are neither
completely discrete nor continuous, the need for constructing a model
with aspects of both discrete-event and continuous simulation is
provoked, resulting in a combined discrete–continuous simulation.
In this paper, architecture of combined modeling for supply chain
simulation is proposed, which includes the equation of continuous
portion in the supply chain and how these equations can be used in
the supply chain simulation models. The simple example of a supply
chain model dealing with the strategic level of the supply chain
presented in this paper shows the possibility and the prospect of
this approach.
@article{Lee:2002:cie,
abstract = {Many simulation models have been built to facilitate the use of simulation
in designing, evaluating, and optimizing supply chains. Simulation
is preferred to deal with stochastic natures existing in the supply
chain. Moreover, simulation has a capability to find a local optimum
value within each component through the entire supply chain. Most
supply chain simulation models have been developed on the basis of
discrete-event simulation. Since supply chain systems are neither
completely discrete nor continuous, the need for constructing a model
with aspects of both discrete-event and continuous simulation is
provoked, resulting in a combined discrete–continuous simulation.
In this paper, architecture of combined modeling for supply chain
simulation is proposed, which includes the equation of continuous
portion in the supply chain and how these equations can be used in
the supply chain simulation models. The simple example of a supply
chain model dealing with the strategic level of the supply chain
presented in this paper shows the possibility and the prospect of
this approach.},
added-at = {2017-03-16T11:50:55.000+0100},
author = {Lee, Young Hae and Cho, Min Kwan and Kim, Seo Jin and Kim, Yun Bae},
biburl = {https://www.bibsonomy.org/bibtex/23e92693fbd47fc327c6420ca69659a22/krevelen},
doi = {10.1016/S0360-8352(02)00080-3},
interhash = {cf5b247afe9b28650069c572a97f7920},
intrahash = {3e92693fbd47fc327c6420ca69659a22},
issn = {0360-8352},
journal = {Computers \& Industrial Engineering},
keywords = {Supply chain simulation thesis},
month = jul,
number = {1-2},
owner = {Rick},
pages = {375--392},
timestamp = {2017-03-16T11:54:14.000+0100},
title = {Supply chain simulation with discrete--continuous combined modeling},
volume = 43,
year = 2002
}