Optimizing fleet size and delivery scheduling for multi-temperature food distribution
In light of the demand for high-quality fresh food, transportation requirements for fresh food delivery have been continuously increasing in urban areas. Jointly delivering foods with different temperature-control requirements is an important issue for urban logistic carriers who transport both low temperature-controlled foods and normal merchandise. This study aims to analyze and optimize medium- and short-term operation planning for multi-temperature food transportation. For medium-term planning, this study optimizes fleet size for carriers considering time-dependent multi-temperature food demand. For short-term planning, this study optimizes vehicle loads and departure times from the terminal for each order of multi-temperature food, taking the fleet size decided during medium-term planning into account. The results suggest that carriers determine departure times of multi-temperature food with demand–supply interaction and deliver food of medium temperature ranges with priority because delivering such food yields more profit. Chaug-Ing Hsu, , Wei-Ting Chen. 2014. Applied Mathematical Modelling. 38 1077-1091
Join to The Fleet Management Group
In this group, you can know and share knowledge, experiences and meet people interested in Fleet Management over the world. Each week we publish posts, conferences, news, scientific papers, and technology related to Fleet Management.