Supply Chain Freight Cost Optimization Algorithms and Swarm Intelligence Techniques: A Perspective
Jignasu Mahidhareeya
, Kruti Khalpada
Computer Department, Atmiya Institute of Technology and Science, Rajkot, Gujarat, India, India
Computer Department, Atmiya Institute of Technology and Science, Rajkot, Gujarat, India, India
Vol. 3, Issue 11 pp. 90-93 🌐 Open Access
ABSTRACT
Optimal distribution of Finish Goods (FG) is key aspect in Supply Chain Management (SCM) for maximizing gross profit and dispatch adherence. Overall Freight Cost optimization performs major role in logistic and factory allocation planning. Vogel Approximation Method (VAM) is unit cost penalty method used to allocate supply to demand and to map factories with depots using Linear Programming (LP). Swarm Intelligence Technique derived from behavior of social insect’s colony is in current research to use with Supply Chain Management (SCM) cost optimization using Artificial Intelligence.
Keywords:
Vogel’s Approximation Method (VAM), Ant colony optimization (ACO), artificial bee colony algorithm (ABC), Freight Cost (FC), Supply Chain Management (SCM)
