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Plant Performance Calculation in Automotive Industry Using Andon System

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This article describes the way of exploiting an andon system to measure key performance indicators (KPIs) of manufacturing plant from the automotive industry. The performance measurement is conducted using four factors in two levels of performance aggregation. The first level constitutes the set of performance factors calculated for separated areas such as overall equipment effectiveness (OEE) to measure operational effectiveness and total effective equipment performance (TEEP) for analysis of capacity utilization. In the second level some global fators are proposed such as overall plant effectiveness (OPE) and total effective plant performance (TEPP) for global investigation of plant performance. Although OEE is well-known factor indicating different types of production losses it doesn’t allow to look globally on the performance of whole production system. Therefore, a method of calculating global performance for whole plant in the form of OPE and TEPP is presented. These factors are investigated based on previous calculated OEE factors for smaller manufacturing areas. An andon system is used as information tool to monitor production losses needed to calculate mentioned KPIs factors.
Słowa kluczowe
EN
OEE   TEEP   OPE   TEPP   andon   performance factors   KPI  
Rocznik
Strony
361--370
Opis fizyczny
Bibliogr. 12 poz., rys., tab.
Twórcy
  • Institute of Production Engineering and Automation, Cracow University of Technology, Kraków, 31-864, Poland
Bibliografia
  • 1. Ahire C.P. & Relkar A.S., (2012), "Correlating failure mode effect analysis (FMEA) and overall equipment effectiveness (OEE)", Procedia Engineering: ICMOC-2012, Vol. 38, pp. 3482-3486.
  • 2. Hadaś Ł. & Karaskiewicz F., (2014), "Algorithm of the implementation of continuous flow in unbalanced production unit condition - case study", Research in Logistics & Production, Vol. 4, No. 1, pp. 91-100.
  • 3. Ivancic I., (1998), "Development of maintenance in modern production", in: Conference Proceedings of Euromaintenance’98, Croatia.
  • 4. Lanza G., Stoll J., Stricker N., Peters S. & Lorenz C., (2013), "Measuring global production effectiveness", Procedia CIRP: Forty Sixth CIRP Conference on Manufacturing Systems 2013, Vol. 7, pp. 31-36.
  • 5. Muchiri P. & Pintelon L., (2008), "Performance measurement using overall equipment effectiveness (OEE): literature review and practical application discussion", International Journal of Production Research, Vol. 46, No. 13, pp. 3517-3535.
  • 6. Nakajima S., (1988), "Introduction to Total Productive Maintenance", Productivity Press, Cambridge, MA.
  • 7. Oechsner R., Pfeffer M., Pfitzner L., Binder H., Muller E. & Vonderstrass T., (2003), "From overall equipment efficiency (OEE) to overall Fab effectiveness (OFE)", Materials Science in Semiconductor Processing, Vol. 5, pp. 333-339.
  • 8. de Ron A.J. & Rooda J.E., (2005), "Equipment fffectiveness: OEE revisited", IEEE Transactions on Semiconductor Manufacturing, Vol. 18, No. 1, pp. 190-196.
  • 9. de Ron A.J. & Rooda J.E., (2006), "OEE and equipment effectiveness: an evaluation", International Journal of Production Research, Vol. 44, No. 23, pp. 4987-5003.
  • 10. SEMI, (2001), "Standard for definition and measurement of equipment reliability, availability and maintainability: SEMI E10-0701", Semiconductor Equipment and Material International.
  • 11. Singh R., Shah D.B., Gohil A.M. & Shah M.H., (2013), "Overall Equipment Effectiveness (OEE) calculation - Automation through hardware & software development", Procedia Engineering: NUiCONE 2012, Vol. 51, pp. 579-584.
  • 12. Sohal, A., Olhager, J., O’Neill, P., & Prajogo, D. (2010). Implementation of OEE-issues and challenges. Competitive and Sustainable Manufacturing Products and Services. Milano: Poliscript, pp. 1-8.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a1d4b255-a3f8-49ed-8fd3-75b1c1028ad4
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