Peer-Reviewed Journals

–          Di Vito, V; Valentino M., Cerasuolo, G.; Mujica Mota, M., Bagamanova M.; Duca G., 2022, “X-TEAM D2D project: designing and validating a Concept of Operations for Door-to-Door multimodal transport”, Sustainability,vol.40, I 20, MDPI

–          Bagamanova, Mujica Mota, Di Vito, V., 2022, Exploring the Efficiency of Future Multimodal Networks: A Door-to-Door Case in Europe, Sustainability, Vol.40, I 20 MDPI DOI:10.3390/su142013621

–          Romero-Silva R., Mujica Mota, M.,2022, Trade-offs in the landside operations of air cargo hubs: Horizontal cooperation and shipment consolidation policies considering capacitated nodes”, V103, Journal of Air Transport Management, Elsevier.

–          Romero-Silva R., Mujica Mota, M.,2022,  Modelling landside logistic operations of a mega-hub airport with discrete-event simulation, accepted in Simulation Notes Europe

–          Popper, N., Bicher, M., Breitenecker, F., Glock, B., Hafner, I., Mujica Mota, M., Music, G., Rippinger, 2022, “Methods for integrated simulation: 10 concepts to integrate”, in Simulation Notes Europe, p.p. 225-236

–          MujicaMota, M; Scala, P; Murrieta-Mendoza, A; Orozco, A; DiBernardi, A; 2021, “Analysis of Security Lines Policies for Improving Capacity in Airports: Case Mexico City”, Case Studies on Transport Policy, Elsevier, Accepted for Special Issue

–          Scala p., Mujica Mota M, Delahaye, D., 2021, “Air Traffic Management during Rare Events Such as a Pandemic: Paris Charles de Gaulle Case Study”, Aerospace

–          Scala P., Mujica Mota M., Delahaye D., Wu R.,2021 “An Optimization-Simulation Closed-Loop Feedback Framework for Modeling the Airport Capacity Management Problem Under Uncertainty”, Transportation Research Part C,  2020

–          Bagamanova, M., Mujica Mota, M., 2020, “Reducing Airport Environmental Footprint using a Disruption-Aware Stand Assignment Approach”, Transportation Research Part D, Nov 2020.

–          Bagamanova, M., Mujica Mota, M., 2020,” A Multi-Objective Optimization with a Delay-Aware Component for Airport Stand Allocation”, J. of Air Transport Management, November 2019. 10.1016/j.jairtraman.2019.101757, Q1,

–          Mujica Mota M., Makhloufi A., Scala P.,2019 “ON THE LOGISTICS OF COCOA SUPPLY CHAIN IN CÔTE D’IVOIRE: SIMULATION-BASED ANALYSIS”, Computers and Industrial Engineering,Q1, September,2019.

–          Scala, P., Mujica Mota, M., Ji M. Delahaye, D.,2020 “Tackling Uncertainty for the Development of Efficient Decision Support System in Air Traffic Management”, IEEE Transactions on Intelligent Transportation Systems., V1 (8), pp. 3233-3246, DOI 10.1109/TITS.2019.2924981.

–          Ji MA, Delahaye D., Sbihi M., Scala P., Mujica Mota, M., 2019, “Integrated Optimization of Terminal Maneuvering Area and Airport at the Macroscopic Level”, Transportation Research Part C. V.98, pp. 338-357, January 2019. 10.1016/j.trc.2018.12.006 

–          Mujica Mota, M., Flores, I., 2019 “Model-based Methodology for Identifying Capacity Limitations in Airports: Mexico City Airport Case”, Simulation Notes Europe, V29(1),2019 pp.13-25, 10.11128/sne.29.on.10462

–          Makhloufi A, Mujica Mota, M., Damme D.V., Langenberg, V., 2019,“Towards Sustainable Agrologistics in Developing Countries – Cocoa Supply Chain in Cote D Ivoire”, World Bank, Report No.135501

–          Mujica, Mota M., Scala P., 2019, “Simulation of a Remote Runway Solution for a congested Airport: Mexico City Airport”, I. Journal of Simulation and Process Modelling, v.14(4). 10.1504/IJSPM.2019.103584

–          Mujica Mota, Di Bernardi A., Scala P., Ramirez-Diaz G., 2018, “Simulation-based Virtual Cycle for Multi-level Airport Analysis”, Aerospace, Vol 5(2), pp. 44, April 2018. 10.3390/aerospace5020044

–          Mujica Mota, M., Flores I., 2018, “Revisiting the Flaws and Pitfalls using Simulation in the Analysis of Aviation Capacity Problems”, Case Studies on Transport Policy, March 2018, 10.1016/j.cstp.2018.03.004

–          Mujica Mota, M., Boosten G., Zuniga C., 2017 “Time to Sweat the Assets? The analysis of two airport cases of restricted capacity in different continents”, Discussion Paper 2017.26,  International Transport Forum, OECD

–          Mujica, Boosten, DeBock, De Souza, Jimenez,2017, “Simulation-Based Turnaround Evaluation for Lelystad Airport”, J. of Air Transport Management, Vol. 64 (A), pp. 21-32 DOI:10.1016/j.jairtraman.2017.06.021

–          Scala, P., Mujica M., De Bock, 2017, “A divide and Conquer Approach for Simulating an Airport System”,  I.J. of Simulation and Process Modelling, Vol 12, No. 6, pp.470 – 484, DOI: 10.1504/IJSPM.2017.10010587

–          Mujica M.,“Check-In allocation improvements through the use of a Simulation-Optimization Approach”, Transportation Research Part A  (2015), Vol.77 (0), pp. 320-335 DOI information: 10.1016/j.tra.2015.04.016, ISSN: 0965-8564, I.F.2.855

–          Mujica, M., Piera, M.A.,“An improved time-line search algorithm for manufacturing decision making”, International Journal of Production Research. Taylor & Francis, DOI: 10.1080/00207543.2013.839892 , ISSN:1366-588X I.F.1.73

–          Buil, R., Piera, M.A., Mujica, M.,“Specification of CPN Models into MAS Platform for the modelling of Political Issues: FUPOL project”, International Journal of Simulation and Process Modelling, March,Vol9 (3), 2014, DOI: 10.1504/IJSPM.2014.064389

–           Mujica, M., Piera, M.A.,“Revisiting State Space Exploration of Timed Coloured Petri Net Models to Optimize Manufacturing System’s Performance”, Simulation Modelling Practice and Theory  vol.18(9) Oct 2010, pp.1225-1241, Elsevier, ISSN:1569-190X.DOI: 10.1016/j.simpat.2010.04.010

–          Mujica, M., Piera, M.A.,“A compact timed state space approach for the analysis of manufacturing systems: key algorithmic improvements”, International Journal of Computer Integrated Manufacturing, vol.24(2),pp. 135-153, Feb 2011, Taylor & Francis, ISSN: 0951-192X.DOi: 10.1080/0951192X.2010.543153

–          Mujica, M., Piera, M.A.,“Performance Optimization of a CNC Machine through exploration of the Timed State Space”, International Journal of Simulation and Process Modelling,  vol. 6(2),pp. 165-174, 2010, Inderscience.DOI: 10.1504/IJSPM.2010.036020