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