Title: Knowledge-based decision support system: a structure for performance improvement in a manufacturing process

Authors: Liane Mahlmann Kipper; Jonas Knipphoff Da Cruz; Rejane Frozza; Daniel Pacheco Lacerda

Addresses: Graduate Program in Industrial System and Process/PPGSPI – 2293, University of Santa Cruz do Sul, Independência Avenue, 96815-900, Universitário, Santa Cruz do Sul, RS, Brazil ' Graduate Program in Industrial System and Process/PPGSPI – 2293, University of Santa Cruz do Sul, Independência Avenue, 96815-900, Universitário, Santa Cruz do Sul, RS, Brazil ' Graduate Program in Industrial System and Process/PPGSPI – 2293, University of Santa Cruz do Sul, Independência Avenue, 96815-900, Universitário, Santa Cruz do Sul, RS, Brazil ' UNISINOS – Graduate Program in Production Engineering and Systems/PPGEPS – 950, Unisinos Avenue – Cristo Rei, São Leopoldo – RS, 93022-000, Brazil

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.

Keywords: process management; key performance indicators; process stability; decision support system; production rules.

DOI: 10.1504/IJBPIM.2021.124034

International Journal of Business Process Integration and Management, 2021 Vol.10 No.3/4, pp.287 - 299

Received: 06 Jan 2021
Accepted: 27 Jun 2021
Published online: 11 Jul 2022 *

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