Decision Support for Cargo Pickup and Delivery Under Uncertainty: A Combined Agent-Based Simulation and Optimization Approach
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| Wydane w: | Computers vol. 14, no. 11 (2025), p. 462-492 |
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| 1. autor: | |
| Kolejni autorzy: | , , , , |
| Wydane: |
MDPI AG
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| Hasła przedmiotowe: | |
| Dostęp online: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 045 | 2 | |b d20250101 |b d20251231 | |
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| 100 | 1 | |a Moreno Renan Paula Ramos |u Department of Economics, Management, Industrial Engineering and Tourism (DEGEIT), University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal; renanprm@ua.pt (R.P.R.M.); aramos@ua.pt (A.L.R.); josev@ua.pt (J.V.F.); diogo.correia@ua.pt (D.C.) | |
| 245 | 1 | |a Decision Support for Cargo Pickup and Delivery Under Uncertainty: A Combined Agent-Based Simulation and Optimization Approach | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a This article introduces an innovative hybrid methodology that integrates deterministic Mixed-Integer Linear Programming optimization with stochastic Agent-Based Simulation to address the PDP-TW. The approach is applied to real-world operational data from a luggage-handling company in Lisbon, covering 158 service requests from January 2025. The MILP model generates optimal routing and task allocation plans, which are subsequently stress-tested under realistic uncertainties, such as variability in travel and service times, using ABS implemented in AnyLogic. The framework is iterative: violations of temporal or capacity constraints identified during the simulation are fed back into the optimization model, enabling successive adjustments until robust and feasible solutions are achieved for real-world scenarios. Additionally, the study incorporates transshipment scenarios, evaluating the impact of using warehouses as temporary hubs for order redistribution. Results include a comparative analysis between deterministic and stochastic models regarding operational efficiency, time window adherence, reduction in travel distances, and potential decreases in CO2 emissions. This work provides a contribution to the literature by proposing a practical and robust decision-support framework aligned with contemporary demands for sustainability and efficiency in urban logistics, overcoming the limitations of purely deterministic approaches by explicitly reflecting real-world uncertainties. | |
| 653 | |a Simulation | ||
| 653 | |a Decision support systems | ||
| 653 | |a Linear programming | ||
| 653 | |a Integer programming | ||
| 653 | |a Emissions | ||
| 653 | |a Planning | ||
| 653 | |a Genetic algorithms | ||
| 653 | |a Optimization | ||
| 653 | |a Decision making | ||
| 653 | |a Stochastic models | ||
| 653 | |a Electronic commerce | ||
| 653 | |a Literature reviews | ||
| 653 | |a Mixed integer | ||
| 653 | |a Robustness (mathematics) | ||
| 653 | |a Logistics | ||
| 653 | |a Baggage handling | ||
| 653 | |a Uncertainty | ||
| 653 | |a Efficiency | ||
| 653 | |a Optimization models | ||
| 653 | |a Vehicles | ||
| 700 | 1 | |a Lopes, Rui Borges |u Department of Economics, Management, Industrial Engineering and Tourism (DEGEIT), University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal; renanprm@ua.pt (R.P.R.M.); aramos@ua.pt (A.L.R.); josev@ua.pt (J.V.F.); diogo.correia@ua.pt (D.C.) | |
| 700 | 1 | |a Ramos, Ana Luísa |u Department of Economics, Management, Industrial Engineering and Tourism (DEGEIT), University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal; renanprm@ua.pt (R.P.R.M.); aramos@ua.pt (A.L.R.); josev@ua.pt (J.V.F.); diogo.correia@ua.pt (D.C.) | |
| 700 | 1 | |a Vasconcelos Ferreira José |u Department of Economics, Management, Industrial Engineering and Tourism (DEGEIT), University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal; renanprm@ua.pt (R.P.R.M.); aramos@ua.pt (A.L.R.); josev@ua.pt (J.V.F.); diogo.correia@ua.pt (D.C.) | |
| 700 | 1 | |a Correia Diogo |u Department of Economics, Management, Industrial Engineering and Tourism (DEGEIT), University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal; renanprm@ua.pt (R.P.R.M.); aramos@ua.pt (A.L.R.); josev@ua.pt (J.V.F.); diogo.correia@ua.pt (D.C.) | |
| 700 | 1 | |a de Melo Igor Eduardo Santos |u Industrial Engineering Department, Federal University of Rio Grande do Sul, Av. Osvaldo Aranha, 99, 5th Floor, Porto Alegre 90035-190, Brazil; igor.eduardo@ufrgs.br | |
| 773 | 0 | |t Computers |g vol. 14, no. 11 (2025), p. 462-492 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3275508874/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
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