Towards an Integration of Systems Engineering and Project Management Processes for a Decision Aiding Purpose
Autor: | Majda Lachhab, Cédrick Béler, Thierry Coudert, Erlyn Solano-Charris |
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Přispěvatelé: | Institut National Polytechnique de Toulouse - INPT (FRANCE), Universidad de La Sabana (COLOMBIA), Laboratoire Génie de Production (LGP), Ecole Nationale d'Ingénieurs de Tarbes, Universitad de la Sabana, Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE) |
Jazyk: | Spanish; Castilian |
Rok vydání: | 2017 |
Předmět: |
Applied engineering
Risk Program management Computer science 0211 other engineering and technologies Project cost management 02 engineering and technology Systems engineering Ant colony optimization Project management process Project management 0202 electrical engineering electronic engineering information engineering Ingénierie assistée par ordinateur Time management Processes integration 021103 operations research business.industry Project risk management Ant colony optimization algorithms Uncertainty [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering Gestion et management Decision aiding Control and Systems Engineering [SHS.GESTION]Humanities and Social Sciences/Business administration Graph (abstract data type) 020201 artificial intelligence & image processing business |
Zdroj: | Universidad de La Sabana Intellectum Repositorio Universidad de La Sabana Repositorio Universidad de la Sabana Universidad de la Sabana instacron:Universidad de la Sabana 20th IFAC World Congress 20th IFAC World Congress, Jul 2017, Toulouse, France. pp. 7266-7271 |
Popis: | International audience; This article proposes an integrated process that combine Systems engineering processes and project management ones. These processes are defined according to the industrial standard processes existing in the literature. The main idea is to define a common information model enabling the federation of all the points of view of the different actors with regards to systems engineering, project time management, project cost management and project risk management. The resulting integrated project graph encompasses all the scenarios established after defining all the coupling points between those processes. The definition of the graph is based also on the available knowledge and the capitalized experiences resulting from experience feedback on previous projects. The scenario selection optimization is then performed using a decision-aided tool that aims to build a panel of pareto-optimal solutions taking into account uncertainties on project objectives (cost and duration). This tool will also enable the decision-maker to select one scenario according to an acceptable level of risks. The integrated process, the optimization tool based on ant colony optimization (ACO) and the method for decision making are described in the paper. |
Databáze: | OpenAIRE |
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