Skip to main content
Top
Published in: International Journal on Interactive Design and Manufacturing (IJIDeM) 2/2024

23-10-2023 | Technical Paper

The new fuzzy bottleneck model to improve the axle manufacturing system performance

Authors: Hacı Sarı, Yusuf Tansel İç

Published in: International Journal on Interactive Design and Manufacturing (IJIDeM) | Issue 2/2024

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Axles are the crucial undercarriage part of vehicles and affect the total number of manufactured vehicles. Therefore, they are essential parts since they directly affect the production quantity. Some uncertainties arise in the lead times of the machining process in the manufacturing system due to the variability in factors, such as human, machine, and material properties. In this study, the efficiency of the axle manufacturing process is investigated, and performance in the machining unit of an automotive spare part manufacturer company is improved. This study aims to increase the production capacity of the company by using a fuzzy logic-based bottleneck analysis. In this study, a new model is proposed by integrating fuzzy logic the Solberg’s bottleneck model, and the performance of the manufacturing system is improved by applying the developed model in the machining unit of the company. At the end of the study, the increase in production rate and the benefit to the company is obtained.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Chang, Q., Biller, S., Xiao, G.: Transient analysis of downtimes and bottleneck dynamics in serial manufacturing systems. J. Manuf. Sci. Eng. 132, 051015–051021 (2010)CrossRef Chang, Q., Biller, S., Xiao, G.: Transient analysis of downtimes and bottleneck dynamics in serial manufacturing systems. J. Manuf. Sci. Eng. 132, 051015–051021 (2010)CrossRef
2.
go back to reference Chen, S.-J., Hwang, C.-L.: Fuzzy Multiple Attribute Decision Making. Springer-Verlag, Berlin Heidelberg, Germany (1992)CrossRef Chen, S.-J., Hwang, C.-L.: Fuzzy Multiple Attribute Decision Making. Springer-Verlag, Berlin Heidelberg, Germany (1992)CrossRef
3.
go back to reference Chen, Y., Zhou, H., Huang, P., Chou, F., Huang, S.: A refined order release method for achieving robustness of non-repetitive dynamic manufacturing system performance. Ann. Oper. Res.Oper. Res. 311, 65–79 (2022)MathSciNetCrossRef Chen, Y., Zhou, H., Huang, P., Chou, F., Huang, S.: A refined order release method for achieving robustness of non-repetitive dynamic manufacturing system performance. Ann. Oper. Res.Oper. Res. 311, 65–79 (2022)MathSciNetCrossRef
4.
go back to reference Cihangir, E., Keskin, F.D., Çiçekli, U.G., Yakan, G.: Bottleneck analysis and system improvement with simulation method in a manufacturing facility. Eur. J. Sci. Technol. 28, 917–923 (2021). ((In Turkish)) Cihangir, E., Keskin, F.D., Çiçekli, U.G., Yakan, G.: Bottleneck analysis and system improvement with simulation method in a manufacturing facility. Eur. J. Sci. Technol. 28, 917–923 (2021). ((In Turkish))
5.
go back to reference El-Tamimi, A.M., Abidi, M.H., Mian, S.H., Aalam, J.: Analysis of performance measures of flexible manufacturing system. J. King Saud Univ. Eng. Sci. 24, 115–129 (2012) El-Tamimi, A.M., Abidi, M.H., Mian, S.H., Aalam, J.: Analysis of performance measures of flexible manufacturing system. J. King Saud Univ. Eng. Sci. 24, 115–129 (2012)
6.
go back to reference Groover, M.P.: Automation, Production System, Computer Integrated Manufacturing. Pearson Inc, London USA (2008) Groover, M.P.: Automation, Production System, Computer Integrated Manufacturing. Pearson Inc, London USA (2008)
7.
go back to reference Huang, Y., Zhang, Z., Tao, Y., Hu, H.: Quantitative risk assessment of railway intrusions with text mining and fuzzy Rule-Based Bow-Tie model. Adv. Eng. Inform. 54, 101726 (2022)CrossRef Huang, Y., Zhang, Z., Tao, Y., Hu, H.: Quantitative risk assessment of railway intrusions with text mining and fuzzy Rule-Based Bow-Tie model. Adv. Eng. Inform. 54, 101726 (2022)CrossRef
8.
go back to reference İç, Y.T., Yurdakul, M., Keçeci, B., Tokmak, Ö., Koç, G.G., Buyruk, G.: Increasıng production capacity in a manufacturing system using bottleneck model. Mach. Des. Manuf. J. 15(1), 1–10 (2017) İç, Y.T., Yurdakul, M., Keçeci, B., Tokmak, Ö., Koç, G.G., Buyruk, G.: Increasıng production capacity in a manufacturing system using bottleneck model. Mach. Des. Manuf. J. 15(1), 1–10 (2017)
9.
go back to reference Jiang, Y.H., Wang, L., Jin, Y.H.: Bottleneck analysis for network flow model. Elsevier J. Adv. Eng. Softw. 34, 641–651 (2003)CrossRef Jiang, Y.H., Wang, L., Jin, Y.H.: Bottleneck analysis for network flow model. Elsevier J. Adv. Eng. Softw. 34, 641–651 (2003)CrossRef
10.
go back to reference Kang, Y., Ju, F.: Identifying bottlenecks in serial production lines with geometric machines: indicators and rules. IFAC PapersOnLine 50–1, 13952–13957 (2017)CrossRef Kang, Y., Ju, F.: Identifying bottlenecks in serial production lines with geometric machines: indicators and rules. IFAC PapersOnLine 50–1, 13952–13957 (2017)CrossRef
11.
go back to reference Krishnan, S., Dev, A.S., Suresh, R., Sumesh, A., Rameshkumarc, K.: Bottleneck identification in a tyre manufacturing plant using simulation analysis and productivity improvement. ScienceDirect Mater. Today: Proc. 5, 24720–24730 (2018) Krishnan, S., Dev, A.S., Suresh, R., Sumesh, A., Rameshkumarc, K.: Bottleneck identification in a tyre manufacturing plant using simulation analysis and productivity improvement. ScienceDirect Mater. Today: Proc. 5, 24720–24730 (2018)
12.
go back to reference Lai, X., Shui, H., Ding, D., Ni, J.: Data-driven dynamic bottleneck detection in complex manufacturing systems. J. Manuf. Syst. 60, 662–675 (2021)CrossRef Lai, X., Shui, H., Ding, D., Ni, J.: Data-driven dynamic bottleneck detection in complex manufacturing systems. J. Manuf. Syst. 60, 662–675 (2021)CrossRef
14.
go back to reference Leporis, M., Kralova, Z.: A sımulatıon approach to productıon lıne bottleneck analysıs. International Conference February 10-13, 2010 Cybernetıcs And Informatıcs Vyšná Boca, Slovak Republic. Slovak University of Technology Faculty of Electrical Engineering and Information Technology Ilkovicova 3, 812 19 Bratislava, Slovak Republic (2010) Leporis, M., Kralova, Z.: A sımulatıon approach to productıon lıne bottleneck analysıs. International Conference February 10-13, 2010 Cybernetıcs And Informatıcs Vyšná Boca, Slovak Republic. Slovak University of Technology Faculty of Electrical Engineering and Information Technology Ilkovicova 3, 812 19 Bratislava, Slovak Republic (2010)
15.
go back to reference Li, L.: Bottleneck detection of complex manufacturing systems using a data-driven method. Int. J. Prod. Res. 47(24), 6929–6940 (2009)CrossRef Li, L.: Bottleneck detection of complex manufacturing systems using a data-driven method. Int. J. Prod. Res. 47(24), 6929–6940 (2009)CrossRef
17.
18.
go back to reference Ongbali, S.O., Afolalu, S.A., Oyedepo, S.A., Aworinde, A.K., Fajobi, M.A.: A study on the factors causing bottleneck problems in the manufacturing industry using principal component analysis. Heliyon 7, e07020 (2021)CrossRefPubMedPubMedCentral Ongbali, S.O., Afolalu, S.A., Oyedepo, S.A., Aworinde, A.K., Fajobi, M.A.: A study on the factors causing bottleneck problems in the manufacturing industry using principal component analysis. Heliyon 7, e07020 (2021)CrossRefPubMedPubMedCentral
21.
go back to reference Pehrsson, L., Ng, A.H.C., Bernedixen, J.: Automatic identification of constraints and improvement actions inproduction systems using multi-objective optimization andpost-optimality analysis. J. Manuf. Syst. 39, 24–37 (2016)CrossRef Pehrsson, L., Ng, A.H.C., Bernedixen, J.: Automatic identification of constraints and improvement actions inproduction systems using multi-objective optimization andpost-optimality analysis. J. Manuf. Syst. 39, 24–37 (2016)CrossRef
22.
go back to reference Roser, C., Nakano, M. & Tanaka, M.: Comparıson of bottleneck detection methods for Agv systems. Roser, Christoph, Masaru Nakano, and Minoru Tanaka. “Comparison of Bottleneck Detection Methods for AGV Systems.” In: Winter Simulation Conference, edited by S. Chick, Paul J Sanchez, David Ferrin, and Douglas J Morrice, 1192–98. New Orleans, Louisiana, USA, (2003) Roser, C., Nakano, M. & Tanaka, M.: Comparıson of bottleneck detection methods for Agv systems. Roser, Christoph, Masaru Nakano, and Minoru Tanaka. “Comparison of Bottleneck Detection Methods for AGV Systems.” In: Winter Simulation Conference, edited by S. Chick, Paul J Sanchez, David Ferrin, and Douglas J Morrice, 1192–98. New Orleans, Louisiana, USA, (2003)
23.
go back to reference Sen, P., Yang, J.-B.: Multiple Criteria Decision Support In Engineering Design. Springer-Verlag, London Limited, London, Great Britain (1998)CrossRef Sen, P., Yang, J.-B.: Multiple Criteria Decision Support In Engineering Design. Springer-Verlag, London Limited, London, Great Britain (1998)CrossRef
24.
go back to reference Singholi, A., Chhabra, D., Ali, M.: Towards improving the performance of flexible manufacturing system: a case study. J. Ind. Eng. Manag. 3(1), 87–115 (2010) Singholi, A., Chhabra, D., Ali, M.: Towards improving the performance of flexible manufacturing system: a case study. J. Ind. Eng. Manag. 3(1), 87–115 (2010)
25.
go back to reference Schmitt, R., Niggemann, C., Isermann, M., Laass, M., Matuschek, N.: Cognition-based self-optimisation of an automotive rear-axle-drive production process. J. Mach. Eng. 10, 68–77 (2010) Schmitt, R., Niggemann, C., Isermann, M., Laass, M., Matuschek, N.: Cognition-based self-optimisation of an automotive rear-axle-drive production process. J. Mach. Eng. 10, 68–77 (2010)
26.
go back to reference Solberg, J.J.: Capacity planning with a stochastic work flow model. AIIE Trans. 13(2), 116–122 (1981)CrossRef Solberg, J.J.: Capacity planning with a stochastic work flow model. AIIE Trans. 13(2), 116–122 (1981)CrossRef
27.
go back to reference Subramaniyan, M., Skoogh, A., Salomonsson, H., Bangalore, P., Gopalakrishnan, M., Muhammad, A.S.: Data-driven algorithm for throughput bottleneck analysis of production systems. Prod. Manuf. Res. 6(1), 225–246 (2018) Subramaniyan, M., Skoogh, A., Salomonsson, H., Bangalore, P., Gopalakrishnan, M., Muhammad, A.S.: Data-driven algorithm for throughput bottleneck analysis of production systems. Prod. Manuf. Res. 6(1), 225–246 (2018)
28.
go back to reference Subramaniyan, M., Skoogh, A., Bokrantz, J., Sheikh, M.A., Thürer, M., Chang, Q.: Artificial intelligence for throughput bottleneck analysis—State-of-the-art and future directions. J. Manuf. Syst. 60, 734–751 (2021)CrossRef Subramaniyan, M., Skoogh, A., Bokrantz, J., Sheikh, M.A., Thürer, M., Chang, Q.: Artificial intelligence for throughput bottleneck analysis—State-of-the-art and future directions. J. Manuf. Syst. 60, 734–751 (2021)CrossRef
29.
go back to reference Subramaniyana, M., Skoogha, A., Muhammadb, A.S., Bokrantza, J., Bekara, E.T.: A prognostic algorithm to prescribe improvement measures on throughput bottlenecks. J. Manuf. Syst. 53, 271–281 (2019)CrossRef Subramaniyana, M., Skoogha, A., Muhammadb, A.S., Bokrantza, J., Bekara, E.T.: A prognostic algorithm to prescribe improvement measures on throughput bottlenecks. J. Manuf. Syst. 53, 271–281 (2019)CrossRef
30.
go back to reference Tang, H.: A new method of bottleneck analysis for manufacturing systems. Manuf. Lett. 19, 21–24 (2019)CrossRef Tang, H.: A new method of bottleneck analysis for manufacturing systems. Manuf. Lett. 19, 21–24 (2019)CrossRef
31.
go back to reference Wang, J.G., Chen, J., Zhang, Y., Huang, G.Q.: Schedule-based Execution Bottleneck Identification in a Job Shop. Comput. Ind. Eng.. Ind. Eng. 98, 308–322 (2016)CrossRef Wang, J.G., Chen, J., Zhang, Y., Huang, G.Q.: Schedule-based Execution Bottleneck Identification in a Job Shop. Comput. Ind. Eng.. Ind. Eng. 98, 308–322 (2016)CrossRef
32.
go back to reference Wang, J., Tian, Y., Hu, X., Li, Y., Zhang, K., Liu, Y.: Predictive modelling and Pareto optimization for energy efficient grinding based on aANN-embedded NSGA II algorithm. J. Clean. Prod. 327, 129479 (2021)CrossRef Wang, J., Tian, Y., Hu, X., Li, Y., Zhang, K., Liu, Y.: Predictive modelling and Pareto optimization for energy efficient grinding based on aANN-embedded NSGA II algorithm. J. Clean. Prod. 327, 129479 (2021)CrossRef
33.
go back to reference Wang, J., Tian, Y., Hu, X., Han, J., Liu, B.: Integrated assessment and optimization of dual environment and production drivers in grinding. Energy 272, 127046 (2023)CrossRef Wang, J., Tian, Y., Hu, X., Han, J., Liu, B.: Integrated assessment and optimization of dual environment and production drivers in grinding. Energy 272, 127046 (2023)CrossRef
34.
go back to reference Yan, H.S., An, Y.W., Shi, W.W.: A new bottleneck detecting approach to productivity improvement of knowledgeable manufacturing system. J. Intell. Manuf.Intell. Manuf. 21, 665–680 (2010)CrossRef Yan, H.S., An, Y.W., Shi, W.W.: A new bottleneck detecting approach to productivity improvement of knowledgeable manufacturing system. J. Intell. Manuf.Intell. Manuf. 21, 665–680 (2010)CrossRef
35.
go back to reference Yan, Z., Hanyu, G., Yugeng, X.: Modified bottleneck-based heuristic for large-scale job-shop scheduling problems with a single bottleneck. J. Syst. Eng. Electron. 18(3), 556–565 (2007)CrossRef Yan, Z., Hanyu, G., Yugeng, X.: Modified bottleneck-based heuristic for large-scale job-shop scheduling problems with a single bottleneck. J. Syst. Eng. Electron. 18(3), 556–565 (2007)CrossRef
36.
go back to reference Yelkenci, S., Tunalı, S.: Determination of Bottleneck stations using simulation in the heat exchanger production line. Trends Bus. Econ. 25, 445–450 (2011). ((In Turkish)) Yelkenci, S., Tunalı, S.: Determination of Bottleneck stations using simulation in the heat exchanger production line. Trends Bus. Econ. 25, 445–450 (2011). ((In Turkish))
37.
go back to reference Zhang, R., Wu, C.: Bottleneck machine identification method based on constraint transformation for job shop scheduling with genetic algorithm. J. Inf. Sci. 188, 236–252 (2012)CrossRef Zhang, R., Wu, C.: Bottleneck machine identification method based on constraint transformation for job shop scheduling with genetic algorithm. J. Inf. Sci. 188, 236–252 (2012)CrossRef
38.
go back to reference Zhou, J., Liu, Z.Q., Huang, P.L., Ai, X., Deng, J.X.: Simulation diagnosis for the Bottleneck of production lines and it’s application. Mater. Sci. Forum 471–472, 563–567 (2004)CrossRef Zhou, J., Liu, Z.Q., Huang, P.L., Ai, X., Deng, J.X.: Simulation diagnosis for the Bottleneck of production lines and it’s application. Mater. Sci. Forum 471–472, 563–567 (2004)CrossRef
Metadata
Title
The new fuzzy bottleneck model to improve the axle manufacturing system performance
Authors
Hacı Sarı
Yusuf Tansel İç
Publication date
23-10-2023
Publisher
Springer Paris
Published in
International Journal on Interactive Design and Manufacturing (IJIDeM) / Issue 2/2024
Print ISSN: 1955-2513
Electronic ISSN: 1955-2505
DOI
https://doi.org/10.1007/s12008-023-01565-5

Other articles of this Issue 2/2024

International Journal on Interactive Design and Manufacturing (IJIDeM) 2/2024 Go to the issue

Premium Partner