A review of applied operations research projects at the Instituto de Cálculo ( )

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A review of applied operations research projects at the Instituto de Cálculo (2007-2016) Javier Marenco Departamento de Computación, FCEyN, Universidad de Buenos Aires, Argentina Instituto de Ciencias, Universidad Nacional de General Sarmiento, Argentina Based on projects with Alejandro Antuña, Federico Bertero, Marcelo Bianchetti, Andrés Cardemil, Flavia Bonomo, Jaime Catalán, Diego Delle Donne, Guillermo Durán, Santiago Durán, Rafael Epstein, Alexis Jawtuschenko, Ivo Koch, Federico Larumbe, Min Chih Lin, Federico Mascialino, Graciela Nasini, Francisco Pigretti, Daniela Sabán, Nicolás Stier-Moses, Juan Ignacio Villasante, Andrés Weintraub, and Francisco Wesner

The Instituto de Cálculo 1958: The creation of the Instituto de Cálculo is proposed. 1958: A Ferranti Ltd. Mercury computer is purchased, at 152.099. 1961: Official start of activities of Clementina. J. Aguirre y R. Carnota. Historia de la informática en Latinoamérica y el Caribe: Investigaciones y testimonios. Universidad Nacional de Río Cuarto, 2009.

Clementina RAM composed by 1024 words, with 40 bits each. 4 drums (initially, two) with 4096 words each. Input/output by a teleprinter tape, with five perforations. 10 racks for the hardware, 4 additional racks for the drums, and 5 racks for the power units.

Clementina An OR group was created, which performed many projects: 1 Simulation of andean rivers. 2 Applications of critical path. 3 Simulation of economic models. 4 Applications of linear programming. D. Negrotto, La investigación operativa en el Instituto de Cálculo durante el período 1960-1966. Saber y Tiempo 23 (2012) 84 93.

OR at the Instituto de Cálculo Since 2007, the Instituto de Cálculo strongly supports OR applied projects. 1 Such projects complement the academic education of its participants. 2 Consultancy and tech transfer are primary university goals. 3 They provide new problems for research! 4 They provide additional income :) (Ideal?) criteria for OR applied projects at a university: 1 The project must contain some well-defined original research. 2 It must not clone a previous project. 3 It should involve people education, either students or company staff. 4 It should leverage the OR brand among the users.

Aside: branding issues OR has serious branding issues! Since the 2000s many efforts in order to leverage the OR brand have been undertaken. 1 www.orchampions.com 2 www.scienceofbetter.co.uk 3 www.learnaboutor.co.uk It is up to us to revert this situation, with high-quality, high-profile projects.

Aside: branding issues OR has serious branding issues! Since the 2000s many efforts in order to leverage the OR brand have been undertaken. 1 www.orchampions.com 2 www.scienceofbetter.co.uk 3 www.learnaboutor.co.uk It is up to us to revert this situation, with high-quality, high-profile projects.

OR at the Instituto de Cálculo (2007 2016) In the period 2007 2016, the Instituto de Cálculo undertook many kinds of projects: 1 Sports projects. 2 Projects with public institutions. 3 Projects with software companies. 4 Projects with non-software companies.

[1/4] Sports projects 1 Scheduling sports leagues (i.e., determining the matches to be played throughout the league). - Argentine first division voleyball league, since 2007 (minimizing travel distances). - Argentine first and second division basketball leagues (combining pre-specified tours proposed by the teams). - South-American World Cup Qualifiers (maximizing fairness), in collaboration with the University of Chile. 2 Optimization model for the Gran DT fantasy game, with the objective of searching for ideal teams. 3 Scheduling the umpire assignment for the Argentine basketball leagues.

[1/4] Sports projects Huge media impact! Good for the university. A very active sports scheduling community, with a conference circuit, open problems and challenges. Sports projects regarded as academically not quite serious.

[2/4] Projects with public institutions 1 Design and computational solution of a combinatorial auction for providing Internet to schools in Buenos Aires City. 2 Optimization of the collection of urban waste. 1 Buenos Aires City (containers collection). 2 Morón (recyclable waste). 3 San Carlos de Bariloche (home collection). 4 Concordia (home collection). 5 Salta (street cleaning). 6 Tucumán (districting). 3 Traffic/prople simulation. 1 La Matanza (traffic). 2 Avellaneda (people in downtown).

[2/4] Projects with public institutions Partners do not always have good will to colaborate... Structures not used to receive external help. Projects usually close with a final document.

[3/4] Projects with software companies

[3/4] Projects with software companies

[3/4] Projects with software companies 1 Plan the dwellings to be visited by each census taker in the Buenos Aires Province, for the 2010 National Census. 2 Optimization of locations in unconventional oil and gas fields. Optimization of team movement in difficult terrains.

[3/4] Projects with software companies 1 Plan the dwellings to be visited by each census taker in the Buenos Aires Province, for the 2010 National Census. 2 Optimization of locations in unconventional oil and gas fields. 3 Optimization of team movement in difficult terrains.

[3/4] Projects with software companies Technical issues/dialog are very smooth, since we usually interact with IT people, or with staff having technical background. The company handles technical issues, interfaces, user assistance, etc. There is no clear project closure. No contact with final users.

[4/4] Projects with non-software companies 1 Scheduling of fish movements in ships and trucks for a salmon farm company in Chile. 2 Production planning for a salmon company in Chile (both projects in collaboration with the University of Chile).

[4/4] Projects with non-software companies We must overcome the language barrier! The whole project range must be covered (functional analysis, development, deployment, maintenance, etc.). We must allocate human resources after the project has ended. Direct access to the project impact.

Lessons learnt along the way 1 Do not restrict yourself to a single technique (as, e.g., integer programming, metaheuristics, constraint programming, etc.). New projects may be better suited to a different toolset than yours! 2 When preparing a project proposal... a) A good contact network is more effective than a perfect résumé. b) Do not underestimate the scientific appeal in proposals. c) Do not underestimate the commercial side of every project. 3 Commit to doing high-quality work, even if you think it will not be appreciated by your customers. 4 Customer care is very important! Prompt response times, clear answers, professional development make the difference.