TY - JOUR
T1 - Time Slot Management in Attended Home Delivery
AU - Agatz, Niels
AU - Campbell, AM (Ann Melissa)
AU - Fleischmann, M (Moritz)
AU - Savelsbergh, Martin
PY - 2011
Y1 - 2011
N2 - Many e-tailers providing attended home delivery, especially e-grocers, offer narrow delivery time slots to ensure satisfactory customer service. The choice of delivery time slots has to balance marketing and operational considerations, which results in a complex planning problem. We study the problem of selecting the set of time slots to offer in each of the zip codes in a service region. The selection needs to facilitate cost-effective delivery routes, but also needs to ensure an acceptable level of service to the customer. We present a fully automated approach that is capable of producing high-quality delivery time slot offerings in a short amount of time. Computational experiments reveal the value of this approach and the impact of the environment on the underlying trade-offs.
AB - Many e-tailers providing attended home delivery, especially e-grocers, offer narrow delivery time slots to ensure satisfactory customer service. The choice of delivery time slots has to balance marketing and operational considerations, which results in a complex planning problem. We study the problem of selecting the set of time slots to offer in each of the zip codes in a service region. The selection needs to facilitate cost-effective delivery routes, but also needs to ensure an acceptable level of service to the customer. We present a fully automated approach that is capable of producing high-quality delivery time slot offerings in a short amount of time. Computational experiments reveal the value of this approach and the impact of the environment on the underlying trade-offs.
U2 - 10.1287/trsc.1100.0346
DO - 10.1287/trsc.1100.0346
M3 - Article
SN - 0041-1655
VL - 45
SP - 435
EP - 449
JO - Transportation Science
JF - Transportation Science
IS - 3
ER -