Implementation of a Software Program for the Optimization of an Oil Pump Assembly Line

  • Leonardo F. M. Lemos
  • Radu Godina
  • João C. O. MatiasEmail author
Conference paper
Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 281)


Automotive companies are constantly facing new challenges and new demands such as international competition and increasing pressure to reduce costs and increase their performance. In this context, the use of certain types of software becomes a very important tool as a factor of differentiation of performance and quality compared to other companies. In this paper, a case study of a Portuguese automotive enterprise is considered in order to optimize the performance associated to a variable displacement oil pump assembly line. The objective is to implement and exploit the SAM (Suivi Arrêts Machine, in French, system for improving the means) software, a mechanism of control and monitoring of efficiency, in order to analyze which operations are more detrimental and which do not allow a determined production objective to be met. After the implementation phase, it will be necessary to define the indicators to be deduced from the software and to define the standard data collection and analysis. Afterwards, in order to disclose all the data, it will be necessary to create an animation board based on the Plan-Do-Check-Act Cycle (PDCA) to start monitoring the performance of the line and consequently increase its performance.


Performance increase Standard work Visual management Information system Automotive industry 



This work was financially supported by the research unit on Governance, Competitiveness and Public Policy (project POCI-01-0145-FEDER-006939), funded by FEDER funds through COMPETE2020—POCI and by national funds through FCT—Fundação para a Ciência e a Tecnologia. Radu Godina would like to acknowledge financial support from Fundação para a Ciência e Tecnologia (UID/EMS/00667/2019).


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Leonardo F. M. Lemos
    • 1
  • Radu Godina
    • 2
  • João C. O. Matias
    • 1
    • 3
    Email author
  1. 1.DEGEITUniversity of AveiroAveiroPortugal
  2. 2.Research and Development Unit in Mechanical and Industrial Engineering (UNIDEMI), Faculty of Science and Technology (FCT), Department of Mechanical and Industrial EngineeringUniversidade NOVA de LisboaCaparicaPortugal
  3. 3.GOVCOPP, University of AveiroAveiroPortugal

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