Mozart MENEZES

Management des Opérations et Systèmes d'Information Téléchargez le CV

Mozart Menezes est professeur senior de Supply Chain et de management de la complexité au département MOSI et chercheur au sein du centre d'excellence Supply Chain (CESIT). Il est directeur du laboratoire "Supply Chain & Complexity Management".

Ses domaines de recherche sont : Supply chain network design, complexity management, operations strategy, finance and operations, facility location analysis, inventory models, optimisation models, component commonality, SKU rationalization, modularity, postponement.

Mozart Menezes est rapporteur pour nombre de revues classées comme European Journal of Operational Research, Annals of Operations Research, Transportation Research - Part B, etc.

    Publications récentes
    Publication Année de publication Type de publication
    Menezes, M.B.C., Da Silveira G.J.C., Guimarães, R. (2018).Estimating Demand Variability and Capacity Costs due to Social Network Infuence: The Hidden Cost of Connection. International Journal of Production Economics, 197, February, 317-329 2018 Article académique
    Zaerpour, F., Bischak, D., Menezes, M.B.C. (2017). Coordinated lab-clinics: A tactical assignment problem in healthcare. European Journal of Operational Research, 263, 283-294 2017 Article académique
    Menezes, M., Kim, S., Huang, R., (2017). Constructing a Watts-Strogatz network from a small-world network with symmetric degree distribution. Plos One, https://doi.org/10.1371/journal.pone.0179120 2017 Article académique
    Mozart B.C. Menezes, Diego Ruiz-Hernandez, Renato Guimaraes, "The Component Commonality Problem in a Real Multidimensional Space: an Algorithmic Approach", European Journal of Operational Research, n° 249, 2016, pp. 105-116, http://dx.doi.org/10.1016/j.ejor.2015.08.021 2016 Article académique
    Drezner, Z., Menezes, M.B.C. (2016). The wisdom of voters: evaluating the Weber objective at the Condorcet solution. Annals of Operations Research, 246 (1), November, 205-226 2016 Article académique
    BERMAN, O. ; KRASS, D. ; MENEZES, M.B.C. (2016) “Directed Assignment vs. Customer Choice in Location Inventory Models”, International Journal of Production Economics, n°179, pp. 179-191 http://dx.doi.org/10.1016/j.ijpe.2016.06.002 2016 Article académique
    Mozart B. C. MENEZES, Diego Ruiz-Hernández, Vedat Verterc, “A Rough-cut Approach for Evaluating Location-Routing Decisions via Approximation Algorithms”, Transportation Research - Part B, Volume 87, May 2016, pp. 89–106. 2016 Article académique
    Berman, O., Krass, D., Menezes, M.B.C. (2016). Directed Assignment vs. Customer Choice in Location Inventory Models. International Journal of Production Economics, 179, 179-191 2016 Article académique
    Giovani DASILVEIRA ; Mozart B. C. MENEZES "Democratic Elections and Centralized Decisions: Condorcet and Approval Voting Compared with Median and Coverage Locations", European Journal of Operational Research Volume 253, Issue 1, 16 August 2016, Pages 195–203 2016 Article académique
    MENEZES, Mozart B. C., GUEYE, Serigne, "General asymptotic and submodular results for the median problem with unreliable facilities", Operations research letters, vol. 43, n°5, September 2015 , pp. 519-521 2015 Article académique
    Menezes, M., Kim, S., & Huang, R. (2015) Return-on-Investment (ROI) Criteria for Network Design. European Journal of Operational Research, 245(1): 100-108 (2015)DOI: 10.1016/j.ejor.2015.03.009 2015 Article académique
    Menezes, M. & Huang, R. (2015) Comparison of Condorcet and Weber solutions on a plane: Social choice versus centralization. Computers & Operations Research, Vol. 62, 350-355. 2015 Article académique
    Mozart B. C. MENEZES ; Michael Ketzenberg, Rogelio Oliva and Rich Metters, “Service Delivery to Moving Demand Points Using Mobile Servers”, International Journal of Production Economics n°168, 2015, pp.158-166 2015 Article académique
    Mozart B. C. MENEZES ; Zvi DREZNER « The Wisdom of Voters: Evaluating the Weber Objective in the Plane at the Condorcet Solution », Annals of Operations Research, DOI 10.1007/s10479-015-1906-5, Published online 27 may 2015 2015 Article académique
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    Supply Chain complexity and profit & loss (P&L): An attempt to understand the true cost of complexity Aucun Point de vue de l’expert
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