Energy-Aware and Delay-Sensitive Management of a Drone Delivery System

Published Online:https://doi.org/10.1287/msom.2021.1056

References

  • Agatz N, Bouman P, Schmidt M (2018) Optimization approaches for the traveling salesman problem with drone. Transportation Sci. 52(4):965–981.LinkGoogle Scholar
  • Ata B (2005) Dynamic power control in a wireless static channel subject to a quality-of-service constraint. Oper. Res. 53(5):842–851.LinkGoogle Scholar
  • Ata B, Tongarlak MH (2013) On scheduling a multiclass queue with abandonments under general delay costs. Queueing Systems 74(1):65–104.CrossrefGoogle Scholar
  • Ata B, Zachariadis KE (2007) Dynamic power control in a fading downlink channel subject to an energy constraint. Queueing Systems 55(1):41–69.CrossrefGoogle Scholar
  • Ata B, Harrison J, Shepp LA (2005) Drift rate control of a brownian processing system. Ann. Appl. Probab. 15(2):1145–1160.CrossrefGoogle Scholar
  • Atar R, Giat C, Shimkin N (2010) The cμ/θ rule for many-server queues with abandonment. Oper. Res. 58(5):1427–1439.LinkGoogle Scholar
  • Bell SL, Williams RJ (2001) Dynamic scheduling of a system with two parallel servers in heavy traffic with resource pooling: Asymptotic optimality of a threshold policy. Ann. Appl. Probab. 11(3):608–649.CrossrefGoogle Scholar
  • Bouman P, Agatz N, Schmidt M (2018) Dynamic programming approaches for the traveling salesman problem with drone. Networks 72(4):528–542.CrossrefGoogle Scholar
  • Carlsson JG, Song S (2018) Coordinated logistics with a truck and a drone. Management Sci. 64(9):4052–4069.LinkGoogle Scholar
  • Chen H, Shanthikumar JG (1994) Fluid limits and diffusion approximations for networks of multi-server queues in heavy traffic. Discrete Event Dynam. Systems 4(3):269–291.CrossrefGoogle Scholar
  • Cokyasar T (2021) Optimization of battery swapping infrastructure for e-commerce drone delivery. Comput. Comm. 168(February):146–154.CrossrefGoogle Scholar
  • Cox DR, Smith W (1991) Queues, vol. 2 (CRC Press, Boca Raton, FL).Google Scholar
  • Ghosh AP, Weerasinghe AP (2010) Optimal buffer size and dynamic rate control for a queueing system with impatient customers in heavy traffic. Stochastic Process. Appl. 120(11):2103–2141.CrossrefGoogle Scholar
  • Grippa P, Behrens DA, Wall F, Bettstetter C (2019) Drone delivery systems: Job assignment and dimensioning. Autonomous Robots 43(2):261–274.CrossrefGoogle Scholar
  • Harrison JM (1985) Brownian Motion and Stochastic Flow Systems (John Wiley & Sons, New York).Google Scholar
  • Harrison JM (1988) Brownian models of queueing networks with heterogeneous customer populations. Fleming W, Lions PL, eds. Stochastic Differential Systems, Stochastic Control Theory and Applications (Springer, New York), 147–186.CrossrefGoogle Scholar
  • Harrison JM, López MJ (1999) Heavy traffic resource pooling in parallel-server systems. Queueing Systems 33(4):339–368.CrossrefGoogle Scholar
  • Horvath L (1984) Strong approximation of renewal processes. Stochastic Process. Appl. 18(1):127–138.CrossrefGoogle Scholar
  • Kim J, Ward AR (2013) Dynamic scheduling of a GI/GI/1+GI queue with multiple customer classes. Queueing Systems 75(2–4):339–384.CrossrefGoogle Scholar
  • Koçağa YL (2017) An approximating diffusion control problem for dynamic admission and service rate control in a G/M/N + G queue. Oper. Res. Lett. 45(6):538–542.CrossrefGoogle Scholar
  • Kumar R, Lewis ME, Topaloglu H (2013) Dynamic service rate control for a single-server queue with Markov-modulated arrivals. Naval Res. Logist. 60(8):661–677.CrossrefGoogle Scholar
  • Mak HY, Rong Y, Shen ZJM (2013) Infrastructure planning for electric vehicles with battery swapping. Management Sci. 59(7):1557–1575.LinkGoogle Scholar
  • Mandelbaum A, Stolyar AL (2004) Scheduling flexible servers with convex delay costs: Heavy-traffic optimality of the generalized cμ-rule. Oper. Res. 52(6):836–855.LinkGoogle Scholar
  • Murray CC, Chu AG (2015) The flying sidekick traveling salesman problem: Optimization of drone-assisted parcel delivery. Transportation Res. Part C Emerging Tech. 54(May):86–109.CrossrefGoogle Scholar
  • Ni EC, Henderson SG (2015) How hard are steady-state queueing simulations? ACM Trans. Model. Comput. Simulation 25(4): Article 27.CrossrefGoogle Scholar
  • Plambeck EL (2004) Optimal leadtime differentiation via diffusion approximations. Oper. Res. 52(2):213–228.LinkGoogle Scholar
  • Plambeck E, Kumar S, Harrison JM (2001) A multiclass queue in heavy traffic with throughput time constraints: Asymptotically optimal dynamic controls. Queueing Systems 39(1):23–54.CrossrefGoogle Scholar
  • Raj R, Murray C (2020) The multiple flying sidekicks traveling salesman problem with variable drone speeds. Transportation Res. Part C Emerging Tech. 120(November):102813.CrossrefGoogle Scholar
  • Reiman MI (1984) Open queueing networks in heavy traffic. Math. Oper. Res. 9(3):441–458.LinkGoogle Scholar
  • Rubino M, Ata B (2009) Dynamic control of a make-to-order, parallel-server system with cancellations. Oper. Res. 57(1):94–108.LinkGoogle Scholar
  • Sacramento D, Pisinger D, Ropke S (2019) An adaptive large neighborhood search metaheuristic for the vehicle routing problem with drones. Transportation Res. Part C Emerging Tech. 102:289–315.CrossrefGoogle Scholar
  • Sasaki T, Ukyo Y, Novák P (2013) Memory effect in a lithium-ion battery. Nature Materials 12(6):569–575.CrossrefGoogle Scholar
  • Schermer D, Moeini M, Wendt O (2019) A matheuristic for the vehicle routing problem with drones and its variants. Transportation Res. Part C Emerging Tech. 106(September):166–204.CrossrefGoogle Scholar
  • Singireddy SRR, Daim TU (2018) Technology roadmap: Drone delivery–Amazon Prime Air. Daim T, Chan L, Estep J, eds. Infrastructure and Technology Management (Springer, Cham, Switzerland), 387–412.CrossrefGoogle Scholar
  • Stolaroff JK, Samaras C, O’Neill ER, Lubers A, Mitchell AS, Ceperley D (2018) Energy use and life cycle greenhouse gas emissions of drones for commercial package delivery. Nature Comm. 9(1):1–13.Google Scholar
  • Torabbeigi M, Lim GJ, Kim SJ (2020) Drone delivery scheduling optimization considering payload-induced battery consumption rates. J. Intelligent Robotic Systems 97(3):471–487.CrossrefGoogle Scholar
  • Van Mieghem JA (1995) Dynamic scheduling with convex delay costs: The generalized cμ rule. Ann. Appl. Probab. 5(3):809–833.CrossrefGoogle Scholar
  • Wang Z, Sheu JB (2019) Vehicle routing problem with drones. Transportation Res. Part B: Methodol. 122(April):350–364.CrossrefGoogle Scholar
  • Xie S, Hu X, Qi S, Tang X, Lang K, Xin Z, Brighton J (2019) Model predictive energy management for plug-in hybrid electric vehicles considering optimal battery depth of discharge. Energy 173(April):667–678.CrossrefGoogle Scholar
  • Zafer M, Modiano E (2008) Optimal rate control for delay-constrained data transmission over a wireless channel. IEEE Trans. Inform. Theory 54(9):4020–4039.CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.