Title :
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
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;
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
DOI :
10.1109/SSIRI.2008.35
