Integrated Shift Scheduling and Load Assignment Optimization for Attended Home Delivery

@article{Restrepo2019IntegratedSS,
  title={Integrated Shift Scheduling and Load Assignment Optimization for Attended Home Delivery},
  author={Maria I. Restrepo and Fr{\'e}d{\'e}ric Semet and Thomas Pocreau},
  journal={Transp. Sci.},
  year={2019},
  volume={53},
  pages={1150-1174}
}
In this article, we study an integrated shift scheduling and load assignment optimization problem for attended home delivery. The proposed approach is divided into two phases, each one correspondin... 
7 Citations

Figures and Tables from this paper

The steady-state mobile personnel booking problem
The online multiday technician booking problem
TLDR
The proposed method is shown to significantly outperform a more straightforward baseline policy that is commonly used and is benchmarked using randomly generated datasets in various demand scenarios and geographies.
The online steady-state technician booking problem
TLDR
The proposed method is shown to significantly outperform a more straightforward baseline policy that is commonly used and is benchmarked based on randomly generated datasets in various demand scenarios and geographies.
The Impact of Financial Incentives on Crowdsourced Delivery
Crowdsourced delivery represents a rapidly rising segment of last-mile supply chain and logistics. In this paper, we examine the impact of financial incentives (earnings) on crowd-delivery workers'
Order dispatching for an ultra-fast delivery service via deep reinforcement learning
TLDR
This paper proposes a real-life application of deep reinforcement learning to address the order dispatching problem of a Turkish ultra-fast delivery company, Getir, and uses Deep Q-networks to learn the actions of warehouses directly from state dimensions using reinforcement learning.

References

SHOWING 1-10 OF 32 REFERENCES
Time Slot Management in Attended Home Delivery
TLDR
A fully automated approach is presented that is capable of producing high-quality delivery time slot offerings in a short amount of time and the value of this approach and the impact of the environment on the underlying trade-offs are revealed.
Challenges and Opportunities in Attended Home Delivery
TLDR
The objective of this chapter is to highlight and illustrate issues arising in attended home delivery related to these time slots and to present and discuss promising approaches for addressing some of them.
Differentiated Time Slot Pricing Under Routing Considerations in Attended Home Delivery
In this paper, we study an e-grocer’s tactical problem of differentiated time slot pricing in attended home delivery. The purpose of differentiating delivery prices is to influence customers’ choice
Incentive Schemes for Attended Home Delivery Services
TLDR
This paper proposes optimization models for two forms of incentives and demonstrates their value and impact through simulation studies and concludes with a presentation of insights resulting from the efforts.
Choice-Based Demand Management and Vehicle Routing in E-Fulfillment
TLDR
This work estimates a multinomial logit customer choice model from historic booking data and proposes dynamic pricing policies based on this choice model to determine which and how much incentive to offer for each time slot at the time a customer intends to make a booking.
Shift Scheduling Problem in Same-Day Courier Industry
TLDR
Computational results show that the ANE approach provides significant cost reductions in a typical same-day courier setting, compared to traditional neighborhood search procedures.
Customer acceptance mechanisms for home deliveries in metropolitan areas
...
1
2
3
4
...