Designing a drone delivery network with automated battery swapping machines

Cokyasar, Taner; Dong, Wenquan; Jin, Mingzhou; Verbas, İsmail Ömer

doi:10.1016/j.cor.2020.105177

Designing a drone delivery network with automated battery swapping machines

Journal Article · Wed Dec 16 23:00:00 EST 2020 · Computers and Operations Research

DOI:https://doi.org/10.1016/j.cor.2020.105177· OSTI ID:1765828

Cokyasar, Taner ^[1]; Dong, Wenquan ^[2]; Jin, Mingzhou ^[2]; Verbas, İsmail Ömer ^[1]

Argonne National Lab. (ANL), Argonne, IL (United States)
Univ. of Tennessee, Knoxville, TN (United States)

Drones are projected to alter last-mile delivery, but their short travel range is a concern. In this study, we propose a drone delivery network design using automated battery swapping machines (ABSMs) to extend ranges. The design minimizes the long-term delivery costs, including ABSM investment, drone ownership, and cost of the delivery time, and locates ABSMs to serve a set of customers. We build a mixed-integer nonlinear program that captures the nonlinear waiting time of drones at ABSMs. To solve the problem, we create an exact solution algorithm that finds the globally optimal solution using a derivative-supported cutting-plane method. To validate the applicability of our program, we conduct a case study on the Chicago Metropolitan area using cost data from leading ABSM manufacturer and geographical data from the planning and operations language for agent-based regional integrated simulation (more commonly known as POLARIS). A sensitivity analysis identifies that ABSM service times and costs are the key parameters impacting the long-term adoption of drone delivery.

View Accepted Manuscript (DOE)

Research Organization:: Argonne National Laboratory (ANL), Argonne, IL (United States)

Sponsoring Organization:: USDOE Office of Science

Grant/Contract Number:: AC02-06CH11357

OSTI ID:: 1765828

Alternate ID(s):: OSTI ID: 1809379

Journal Information:: Computers and Operations Research, Journal Name: Computers and Operations Research Vol. 129; ISSN 0305-0548

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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