An Ant Colony Optimization Approach to Multi-Objective Supply Chain Model

Author

Sun, Ruoying ; Wang, Xingfen ; Zhao, Gang

Author_Institution

Beijing Inf. Sci. & Technol. Univ., Beijing

fYear

2008

fDate

14-17 July 2008

Firstpage

193

Lastpage

194

Abstract

In this paper, we first describe a multi-objective supply chain model and the optimization problem in Supply Chain Management (SCM), which includes measurements of cost, customer service fill rates and delivery flexibility. This model incorporates production and delivery. Then, we present an Ant Colony Optimization (ACO) application to the solution of some multi-objective optimization problems. We discuss how our approach may be useful for the Multi-Objective supply chain optimization.

Keywords

customer services; industrial economics; optimisation; supply chain management; ACO application; ant colony optimization approach; cost measurement; customer service fill rates; delivery flexibility; multiobjective supply chain model; supply chain management; Ant colony optimization; Cost function; Current supplies; Customer service; Information science; Optimized production technology; Procurement; Sun; Supply chain management; Supply chains; Ant Colony Optimization; Multi-Objective Supply Chain Model;

fLanguage

English

Publisher

ieee

Conference_Titel

Secure System Integration and Reliability Improvement, 2008. SSIRI '08. Second International Conference on

Conference_Location

Yokohama

Print_ISBN

978-0-7695-3266-0

Electronic_ISBN

978-0-7695-3266-0

Type

conf

DOI

10.1109/SSIRI.2008.35

Filename

4579820