Proceedings of the 2015 International Conference on Modeling, Simulation and Applied Mathematics

Strategic Game Approach in Multistage Simulation for Supply Chain Planning

Authors
Yenming J. Chen
Corresponding Author
Yenming J. Chen
Available Online August 2015.
DOI
https://doi.org/10.2991/msam-15.2015.70How to use a DOI?
Keywords
stochastic modelling and simulation; strategic games; collaborative systems; business process modelling; service value and supply chains; multistage simulation
Abstract
This study employs strategic game approach along with multistage simulation to find a supply chain plan in an equilibrium state, in which the configuration design stage and the production dispatching stage hold their coordinated strategies such that no one has incentive to unilaterally change her action, i.e., if a change in strategies by any one of them would lead that player to earn less than if she remained with her current strategy. A mathematical optimization model and a simulation approach are developed in this paper. The study identified a discontinuous relationship between costs and responsiveness through the operational decision of redistribution. Knowing this relationship will allow managers to determine the minimum investment to drive performance improvement and thus, make the best business-level decision at the appropriate moment. When fixed costs are low and facilities increase after game-simulation, capacity efficiency is likewise high regardless of item-simulation.
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Proceedings
2015 International Conference on Modeling, Simulation and Applied Mathematics
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2015
ISBN
978-94-6252-104-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/msam-15.2015.70How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yenming J. Chen
PY  - 2015/08
DA  - 2015/08
TI  - Strategic Game Approach in Multistage Simulation for Supply Chain Planning
BT  - 2015 International Conference on Modeling, Simulation and Applied Mathematics
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/msam-15.2015.70
DO  - https://doi.org/10.2991/msam-15.2015.70
ID  - Chen2015/08
ER  -