QUANTITATIVE MANAGEMENT AND DECISION SCIENCE

qmds The QMDS cluster specializes on the use of decision making tools using quantitative methods. Most of the models used are those in operations research. Operations Research (OR) is the discipline of applying advanced analytical methods from mathematics, science and engineering to make better decisions in planning ventures and analyzing options. Operations Research is characterized with its broad applicability by its interdisciplinary nature.


As OR attempts to resolve the conflicts of interest among the components of the organization in a way that is the best for the organization as a whole, the OR needs to seclude individuals who collectively trained in mathematics, statistics and probability, economics, business administration, computer science, engineering and the physical sciences the behavioral sciences and the special techniques of OR.

Objective

The cluster aims to train and strengthen the members through collaborative research work with individuals in social, biological and environmental sciences.

Research Themes 

  • Fuzzy goal programming
  • Land use planning
  • Simulation and geostatistical analysis of environment phenomena
  • Vehicle routing problems
  • Facility location probems 

Members

  • Dr. Jerrold M. Tubay (Cluster Coordinator) 
  • Prof. Genaro A. Cuaresma
  • Prof. Alleli Ester C. Domingo
  • Dr. Jomar F. Rabajante
  • Prof. Mark Lester D. de Lara
  • Prof. Maica krizna A. Gavina
  • Prof. Allen L. Nazareno
  • Prof Mark Jayson V. Cortez
  • Prof. Diane Carmeliza N. Cuaresma
  • Prof. Destiny S. Lutero
  • Prof. Dylan SJ. Talabis
  • Mr. Jose Marie M. Inaudito
  • Mr. Christian Alvin H. Buhat
  • Ms. Monica C. Torres
  • Ms. Yancee H. Olave
  • Mr. Ardee C. Manalo
  • Mr. Jcob C. Malaguit
  • Ms. Gimelle B. Gamilla

Publications

[1] De Lara MLD, Rolluque EJP, & Serrano, DLF. (2016). Optimization of the Locations of Cassava Postharvest Facilities in Surallah, South Cotabato, Philippines. Journal of Nature Studies. 15 (2):23-26

[2] Nazareno, AL, Alberto RR, Gatuz PU. (2016). Optimal Vehicle Routing System for Relief Goods Distribution in the 4th District of Nueva Ecija, Philippines. Journal of Nature Studies.

[3]  Lutero DS, Pangue EMU, Tubay JM and Lubag SP. (2016). A fuzzy goal programming model for biodiesel production. Journal of Physics: Conference Series 693 doi:10.1058/1742-6596/693/1/012007.

[4] Gavina MKA, Rabajante JF and Cervancia CF. (2014). Mathematical Programming Models for Determining the Optimal Location of Beehives. Bulletin Mathematical Biology (Springer), 76(5): 997-1016. 

[5] De Lara ML, Burgos VJ, Silva AM and Nazareno AL. (2014). Determining the Optimal Route of Vehicle Delivering the Relief Goods to the Calamity-Prone Areas in Region IV-A. Journal of Nature Studies. 13 (2): 13-24.

[6] Bosaing AAD, Rabajante JF and De Lara MLD. (2012). Assignment Problems with weighted and nonweighted neighborhood constraints 3^6, 4^4 and 6^3 Tilings. Southeast Asian Journal of Sciences 1 (1):55-75. 

 

Last Updated on Thursday, 28 September 2017 08:49

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