2021-12-03 12:00:00 2021-12-03 13:00:00 US/East-Indiana Hybrid delivery system: Delivery schedule optimization and comparative analysis Ho Young Jeong, Ph.D. Candidate https://purdue-edu.zoom.us/j/92854778987

December 3, 2021

Hybrid delivery system: Delivery schedule optimization and comparative analysis

Event Date: December 3, 2021
Sponsor: Dr. Seokcheon Lee
Time: 12:00 pm EST
Location: https://purdue-edu.zoom.us/j/92854778987
Priority: No
School or Program: Industrial Engineering
College Calendar: Show
Ho Young Jeong, Ph.D. Candidate
Ho Young Jeong, Ph.D. Candidate

 

ABSTRACT

 

Unmanned Aerial vehicles (UAVs) or drones have significant market potential benefiting from intrinsic flexibility, mobility, and cost savings. However, the mobility of the drone limited its payload and battery capacity, which makes it impractical to perform delivery operations independently. To complement such weaknesses, the hybrid delivery system is getting attention, incorporating another vehicle with the drone. Whereas the hybrid delivery system can selectively and synergistically exploit the strengths of these individual vehicles, they are challenging from an operational perspective since they require simultaneous cooperation between multiple components. In this study, we proposed two types of hybrid delivery: truck-drone system and airship-drone system. Each system has a high delivery capacity and timely delivery based on their complementary cooperation. The proposed systems are formulated as mixed-integer linear programming (MILP), which minimizes the delivery completion time and maximizes the revenue of the operator. A set of experiments are conducted to evaluate the performance and the capability of the developed model of the hybrid delivery systems. The results show that the hybrid delivery system has a distinct advantage compared to the existing delivery systems.