Knowledge-based decision support system: a structure for performance improvement in a manufacturing process
by Liane Mahlmann Kipper; Jonas Knipphoff Da Cruz; Rejane Frozza; Daniel Pacheco Lacerda
International Journal of Business Process Integration and Management (IJBPIM), Vol. 10, No. 3/4, 2021

Abstract: This research proposes a system for performance improvement in a manufacturing process. The methodology used was action-research that guided the phases of current situation survey, processes and indicators analysis, definition of the stability indicator, development, implementation and validation of the decision support system. At the stage of development and implementation, the knowledge base of expert decision support system was implemented. The prototype of the system was developed using Visual Basic for Application and SQL programming language on Microsoft Access, Microsoft Excel and MS SQL Server. To load the data from transactional systems, ETL interfaces were developed. The results show that by using the stability indicator and the report analysis based on production rules, it was possible to measure the process stability level and define the effective corrective actions to improve the process performance.

Online publication date: Mon, 11-Jul-2022

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