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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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A Temporal-Network Constraint Programming Model for the Pickup and Delivery Problem with Time Windows

Authors: Roch, Timothy;

A Temporal-Network Constraint Programming Model for the Pickup and Delivery Problem with Time Windows

Abstract

This paper revisits the single-vehicle Pickup and Delivery Problem with Time Windows from a temporal-structural perspective. We introduce a constraint programming formulation that couples a global circuit constraint for routing with conditional difference constraints governing arrival times.This construction naturally induces a dynamic Simple Temporal Network, enabling a unified representation of precedence, waiting, and time-window constraints within a single temporal framework. We study the resulting propagation mechanisms and show how the explicit temporal structure alters constraint interactions relative to classical formulations.The approach is compared to a mixed-integer linear programming baseline. An auditable benchmark instance is developed to allow exhaustive enumeration and controlled sensitivity analysis on time-window parameters. This work was carried out under the supervision of Primous Pomalegni and Henri-Joël Akougbe at the Université de Montréal.

Related Organizations
Keywords

Optimization, Operations Research, PDPTW, Combinatorial Optimization, Network Optimization, Temporal Constraints, Constraint Programming, Temporal Network

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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