A Multi-objective Memetic Algorithm for Vehicle Resource Allocation in Sustainable Transportation Planning

• Main Authors: LAU, Hoong Chuin, AGUSSURJA, Lucas, CHENG, Shih-Fen, TAN, Pang Jin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: Artificial Intelligence and Robotics; Business; Operations Research, Systems Engineering and Industrial Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/1814; https://ink.library.smu.edu.sg/context/sis_research/article/2813/viewcontent/ijcai13_1137_final.pdf
• Institution: Singapore Management University

Sustainable supply chain management has been an increasingly important topic of research in recent years. At the strategic level, there are computational models which study supply and distribution networks with environmental considerations. At the operational level, there are, for example, routing and scheduling models which are constrained by carbon emissions. Our paper explores work in tactical planning with regards to vehicle resource allocation from distribution centers to customer locations in a multi-echelon logistics network. We formulate the bi-objective optimization problem exactly and design a memetic algorithm to efficiently derive an approximate Pareto front. We illustrate the applicability of our approach with a large realworld dataset.