A Multi-Objective Reconfiguration Method of Supply Chains through Discrete Event Simulation

Author

Komoto, Hitoshi ; Tomiyama, Tetsuo ; Nagel, Menno ; Silvester, Sacha ; Brezet, Han

Author_Institution

Delft Univ. of Technol.

fYear

2005

Firstpage

320

Lastpage

325

Abstract

The paper proposes a method to examine multi-objective reconfigurability of an OEM (Original Equipment Manufacturer) supply chain to flexibly adopt dynamically changing environmental restrictions and market situations. A discrete event simulation technique is applied to evaluate economic, environmental and delivery performance of a supply chain. Multiple-objective genetic algorithm (MOGA) enables us to refine optimal reconfiguration rules from a large number of alternatives available in operational level. Simulation results show that the proposed method is able to evaluate reconfigurability to cope with growing environmental restrictions, while considering side effects on economic and delivery performance due to the reconfiguration

Keywords

DP industry; discrete event simulation; environmental factors; supply chains; OEM; delivery performance; discrete event simulation; environmental restrictions; market situations; multiobjective reconfiguration method; multiple-objective optimization; original equipment manufacturer; supply chains; Analytical models; Costs; Discrete event simulation; Enterprise resource planning; Environmental economics; Genetic algorithms; Performance analysis; Procurement; Supply chain management; Supply chains; discrete event simulation; multiple objective optimization; supply chain;

fLanguage

English

Publisher

ieee

Conference_Titel

Environmentally Conscious Design and Inverse Manufacturing, 2005. Eco Design 2005. Fourth International Symposium on

Conference_Location

Tokyo

Print_ISBN

1-4244-0081-3

Type

conf

DOI

10.1109/ECODIM.2005.1619238

Filename

1619238