XXIV Congresso da Associação Portuguesa de Investigação Operacional (IO2025)

Session

Session 5.4 - Optimization with uncertainty

Not scheduled

Room 4

100. Bi-objective Pollution Routing Problem with Uncertain Demand and Travel Time

João Martins (University of Coimbra)

Apresentação regular

The Vehicle Routing Problem and its many variants have been extensively studied over the years due to the various gains enabled by efficient route planning. However, many routing models consider cost minimization by focusing solely on factors such as distance traveled or the number of vehicles utilized, often neglecting other considerations that affect costs and disregarding the environmental...

79. Evolutionary Adaptive Policies for the Stochastic Dynamic Inventory-Routing Problem

Francisco Maia (FEUP | INESC TEC)

Apresentação regular

The stochastic dynamic inventory-routing problem (SDIRP) integrates inventory management and vehicle routing under uncertainty, where customer demands are revealed progressively over time.
This research aims to provide new insights into resolving an SDIRP, focusing on a central warehouse that periodically distributes homogeneous goods to a set of geographically dispersed...

78. Fleet Composition under Uncertainty: A Multi-Objective Optimization Approach

Parisa Ahani (FCT NOVA University Lisbon)

Apresentação regular

This study tackles the fleet composition problem for a transport operator facing uncertainties in energy prices, vehicle costs, and operational expenses over a defined planning horizon. With a limited budget, the decision-maker must choose among vehicle types—such as diesel with lower upfront costs but higher running expenses, and electric with the opposite profile.
To manage long-term cost...

80. Managing Supply Chain Disruptions through Design Science Research: A Mathematical Modeling and Simulation Approach

Ana Amaro (iscac.pt)

Apresentação regular

This study examines supply chain dynamics through the development of a mathematical optimization model—considered as a research artifact—designed to analyze supply chain behavior under various disruption scenarios. These may affect supply, demand, or pricing conditions. A mathematical formulation of the problem was developed and implemented using the python programming language. To validate...