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Journal Articles Transportation Science Year : 2019

Integrated Shift Scheduling and Load Assignment Optimization for Attended Home Delivery

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Abstract

In this paper, 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 corresponding to a different planning level: tactical and operational. In the tactical planning, a daily master plan is generated for each courier. This master plan defines the working shifts, the origin-destination pairs to visit, and the number of client requests to serve. In the operational planning, delivery orders are allocated to couriers in real-time. The stochastic and dynamic nature of client orders is included in the tactical and operational decision levels, respectively. Results on real-world based instances from a delivery company, demonstrate that our approach provides robust tactical solutions that easily accommodate to fluctuations in client orders, preventing additional costs related to the underutilization of couriers and to the use of external couriers to satisfy all delivery requests.
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Dates and versions

hal-01963916 , version 1 (21-12-2018)

Identifiers

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Maria Restrepo, Frédéric Semet, Thomas Pocreau. Integrated Shift Scheduling and Load Assignment Optimization for Attended Home Delivery. Transportation Science, 2019, 53 (4), pp.917-1212. ⟨10.1287/trsc.2018.0857⟩. ⟨hal-01963916⟩
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