In a dynamic customer-centric supply chain context, classic forecasting
models turn out to have a limited applicability. In order to estimate
the key performance indices of these Supply Chains and to facilitate
their management, it is necessary to use more elaborate tools such
as a simulation. However building simulation of customer-centric
supply chains is no trivial matter. It requires the elaboration of
a representative model and the execution of this model according
to a set of hypotheses associated to scenarios. Due to their properties,
Multi-Agent Systems seem particularly well suited for the modelling
and the simulation of Supply Chains and more especially in a mass
customization context. In this paper we propose an agent modelling
framework for the modelling and simulation of such Supply Chains
to facilitate their management. We show how this framework can be
applied to a case of customer-centric Supply Chain from the golf
club industry and we present an experiment plan associated.
%0 Journal Article
%1 Labarthe:2007:simpat
%A Labarthe, Olivier
%A Espinasse, Bernard
%A Ferrarini, Alain
%A Montreuil, Benoit
%D 2007
%J Simulation Modelling Practice and Theory
%K imported thesis
%N 2
%P 113--136
%R 10.1016/j.simpat.2006.09.014
%T Toward a methodological framework for agent-based modelling and simulation
of supply chains in a mass customization context
%V 15
%X In a dynamic customer-centric supply chain context, classic forecasting
models turn out to have a limited applicability. In order to estimate
the key performance indices of these Supply Chains and to facilitate
their management, it is necessary to use more elaborate tools such
as a simulation. However building simulation of customer-centric
supply chains is no trivial matter. It requires the elaboration of
a representative model and the execution of this model according
to a set of hypotheses associated to scenarios. Due to their properties,
Multi-Agent Systems seem particularly well suited for the modelling
and the simulation of Supply Chains and more especially in a mass
customization context. In this paper we propose an agent modelling
framework for the modelling and simulation of such Supply Chains
to facilitate their management. We show how this framework can be
applied to a case of customer-centric Supply Chain from the golf
club industry and we present an experiment plan associated.
@article{Labarthe:2007:simpat,
abstract = {In a dynamic customer-centric supply chain context, classic forecasting
models turn out to have a limited applicability. In order to estimate
the key performance indices of these Supply Chains and to facilitate
their management, it is necessary to use more elaborate tools such
as a simulation. However building simulation of customer-centric
supply chains is no trivial matter. It requires the elaboration of
a representative model and the execution of this model according
to a set of hypotheses associated to scenarios. Due to their properties,
Multi-Agent Systems seem particularly well suited for the modelling
and the simulation of Supply Chains and more especially in a mass
customization context. In this paper we propose an agent modelling
framework for the modelling and simulation of such Supply Chains
to facilitate their management. We show how this framework can be
applied to a case of customer-centric Supply Chain from the golf
club industry and we present an experiment plan associated.},
added-at = {2017-03-16T11:50:55.000+0100},
author = {Labarthe, Olivier and Espinasse, Bernard and Ferrarini, Alain and Montreuil, Benoit},
biburl = {https://www.bibsonomy.org/bibtex/247affeb25a3cbf24a2c320b7a41a520d/krevelen},
doi = {10.1016/j.simpat.2006.09.014},
interhash = {adf8a50ed1509927d2da7aad583a2351},
intrahash = {47affeb25a3cbf24a2c320b7a41a520d},
journal = {Simulation Modelling Practice and Theory},
keywords = {imported thesis},
month = feb,
number = 2,
owner = {Rick},
pages = {113--136},
timestamp = {2017-03-16T11:54:14.000+0100},
title = {Toward a methodological framework for agent-based modelling and simulation
of supply chains in a mass customization context},
volume = 15,
year = 2007
}