The minicourses will be given in Spanish.

OPTEX, A Mathematical Modeling System and its applications


OPTEX MATDoAnalyticsHEMATICAL MODELING SYSTEM, the DO ANALYTICS LLC’s optimization technology, proposes a new way to implement optimization software, which traditionally involves the implementation of one “executable” program for each model. Since its birth in 1991, OPTEX is conceived as a robot (an expert system) that allows the development of “all” mathematical models required in just one work environment. OPTEX “automatically” integrates information support system, generating a generic user interface that allow you to browse the tables of the information system.  Last, but most important, OPTEX is able to generate models based on low-level programming languages such as C, or high-level programs based on algebraic languages like GAMS, AIMMS, IBM ILOG OPL, etc. OPTEX ensures minimum implementation times, competitive computing times and portability of the mathematical models. Regarding the use of Large Scale Optimization methodologies, like Benders the composition, Lagrangian Relaxation and Cross Decomposition, the programs generated by OPTEX consider many variations of the use of these methodologies, including the solution of non-anticipative optimization models and asynchronous parallel optimization schemes. Using OPTEX, the algebraic formulation of mathematical models is stored in a relational information system, MMIS (Mathematical Models Information System), and therefore the tables that compose the MMIS can be loaded by any mechanism valid for manipulating tables, including Excel, while keeping the advantages of relational databases. For this reason, DO ANALYTICS has developed OPTEX-Excel-MMS that enables modelers, non-experts in optimization technologies or without knowledge of SQL (Structured Query Language), to solve complex mathematical problems associated with the database. More

Instructor: Jesús María Velásquez Bermúdez, Eng. D.


IMG_2345 Jesus VelasquezMathematical Programming Entrepreneur and Evangelist. Chief Scientist of DO ANALYTICS LLC and DecisionWare International Corp. Creator of OPTEX Mathematical Modeling System an informatics tool that generate Decision Support Systems in many technological platforms like IBM ILOG, GAMS, AMPL, MOSEL, AIMMS, C. Creator of OPCHAIN a collection of specialized solutions, based in mathematical models, for optimize the value chain in: general agro-industrial supply chains, transport systems, energy systems (oil, gas, electricity), retail systems, logistics bank systems, mines and regional planning. Consulting engineer with more than 40 years of experience in management of projects in mathematical modeling, industrial automation and information systems, for large companies in multiples countries. Doctor in Engineering of the Mines Faculty of the Universidad Nacional de Colombia (2006). Industrial Engineer and Magister Scientiorum of the Universidad Los Andes (Colombia, 1975). Postgraduate studies in Planning and Engineering of Water Resources (Simon Bolivar University, Caracas) and in Economics (Los Andes University). LOGYCA Award for Innovation and Logistic Excellence 2006 granted by GS1-Colombia. ACOLOG Award to the Investigation in Logistic (2006). Prize ACIEM-ENERCOL Award to Colombian Engineering (1998). ALBERTO LEON BETANCOURT Award in Operations Research (1986). President of the Colombian Society of Operations Research (2000-2006). Vice-president of the Latin Ibero American Association of Operations Research (2004-2008). Member by Colombia of the Executive Committee of the International Federation of Operations Research Societies (2002). Chair of XIV Latin-Ibero-American Congress in Operations Research (2008).


Uso de Cplex y Concert en C++

El objetivo del mini curso es aprender el uso de CPLEX por medio de su interfaz en C++ para implementar modelos por filas y/o columnas, implementación de un Branch-and-Cut (uso de user-cuts vs lazy-constraints) e implementación de generación de columnas. Los asistentes al curso deben tener como requisitos conocimientos básicos de planos de corte y generación de columnas.


rodrigo_linfati_cbInstructor: Rodrigo Linfati

Universidad del Bío-Bío

Rodrigo Linfati, terminó sus estudios de Ingeniería Industrial y Magíster en Ingeniería Industrial en la Universidad de Concepción el año 2008 y su Ph.D. en Investigación de Operaciones en la Universidad de  Bologna el 2012. Sus intereses de investigación incluyen el diseño e implementación de efectivos algoritmos exactos y heurísticos. para problemas de optimización combinatoria y sus aplicaciones en problemas reales, en particular, ruteo de vehículos, y cadena de suministro. Actualmente es Profesor Asistente en la Facultad de Ingeniería de la Universidad del Bío-Bío.