Data Analysis of Retailer Orders to Improve Order Distribution

• Main Authors: CHEONG, Michelle Lee Fong, CHOY, Junyu, MA, Nang Laik
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: Data Analytics; inventory policy; order distribution; Artificial Intelligence and Robotics; Business; Operations Research, Systems Engineering and Industrial Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/1830
• Institution: Singapore Management University

Our paper attempts to improve the order distribution for a logistics service provider who accepts order from retailers for fast moving consumer goods. Due to the fluctuations in orders on a day to day basis, the logistics provider will need the maximum number of trucks to cater for the maximum order...