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The Optimal Initial Buffer and Cycle Time Design for Improving Lean Production Automation Line Efficiency

  • Duong Vu Xuan QuynhEmail author
  • Chawalit Jeenanunta
  • Masahiro Nakamura
  • Fumio Kojima
Conference paper
  • 73 Downloads
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

Optimizing the size and location of storage buffer between machines is critical issues in designing efficient production automation line. The objective of the study is to propose the optimal design of the initial buffer size as well as the suitable machine cycle time to increase the efficiency of the automation line. In this study, the production system consists of three machines with two buffers are placed between them is considered. There is a regular downtime for maintenance at the second machine, which results in lower production efficiency. The production simulation on cloud is used for modelling and demonstrating the concept. The experimental results revealed the proposed optimal initial buffer and the proposed cycle time of maintenance station could yield the maximum production line efficiency.

Keywords

Buffer design Production line efficiency Simulation model 

Notes

Acknowledgements

We would like to show our gratitude to Lean Automation System Integrators (LASI) Project, Denso Corporation. We would like to thank Dr. Masahiro Nakamura and Mr. Teruo Oohashi, from Lexer Research Inc. for their kindly support in this research. We want to send our deepest appreciation to Sirindhorn International Institute of Technology (SIIT), Thammasat University (TU), Thailand as well as Logistics and Supply Chain Systems Engineering Research Unit Center for Demonstration and Technology Transfer of Industry 4.0 for financial support our research. This study was also partially funded by Studies for Science and Technology Foundation (STF).

References

  1. Alexandros DC, Chrissoleon PT (2009) Exact analysis of a two-workstation one-buffer flow line with parallel unreliable machines. Eur J Oper Res 197(2):572–580CrossRefGoogle Scholar
  2. Ameen W, Alkahtani M, Mohammed MK, Abdulhameed O, El-Tamimi AM (2018) Investigation of the effect of buffer storage capacity and repair rate on production line efficiency. J King Saud Univ Eng Sci 30(3):243–249Google Scholar
  3. Andijani A, Anwarul M (1997) Manufacturing blocking discipline: a multi-criterion approach for buffer allocations. Int J Prod Econ 51(3):155–163CrossRefGoogle Scholar
  4. El-tamimi A., Savsar M (1987) The availability of a two-stage production line with intermediate buffer. IASTED Reliability and Quality Control Conference, 24–26 June, Paris, France, pp 117–120Google Scholar
  5. Gupta T, Houshyar A (1990) Consideration of instage and central buffers in two-stage production system. Comput Ind Eng 19(1–4):427–431Google Scholar
  6. Lau HS (1994) Allocating work to a two-stage production system with interstage buffer. Int J Prod Econ 36(3):281–289Google Scholar
  7. Lin YK, Chang PC (2016) System reliability of a manufacturing network with reworking action and different failure rates. Int J Prod Research 50(23):6930–6944. https://dx.doi.org/10.1080/00207543.2011.638939
  8. Mohanty RP, Dey D, Kulkarni RV (1989) A computer algorithm for determining optimal buffer size in a serial flow production system. Comput Ind Eng 16(1):75–86Google Scholar
  9. Nahas N (2014) Buffer allocation and preventive maintenance optimization in unreliable production lines. J Intell Manuf 28(1):85–93CrossRefGoogle Scholar
  10. Nahas N, Ait-Kadi D, Nourelfath M (2006) A new approach for buffer allocation in unreliable production lines. Int J Prod Econ 103(2):873–881CrossRefGoogle Scholar
  11. Pathak DA (2012) Improvement of manufacturing process by simulation technique: a case study. Int J Adv Sci Technol 4:54–69Google Scholar
  12. Sörensen K, Janssens GK (2001) Buffer allocation and required availability in a transfer line with unreliable machines. Int J Prod Econ 74(1–3):163–173CrossRefGoogle Scholar
  13. Tiacci L (2015) Simultaneous balancing and buffer allocation decisions for the design of mixed-model assembly lines with parallel workstations and stochastic task times. Int J Prod Econ 162:201–215CrossRefGoogle Scholar
  14. Wijngaard J (1979) The effect of interstage buffer storage on the output of two unreliable production units in series, with different production rates. A I I E Trans 11(1):42–47Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Duong Vu Xuan Quynh
    • 1
    Email author
  • Chawalit Jeenanunta
    • 1
  • Masahiro Nakamura
    • 2
  • Fumio Kojima
    • 3
  1. 1.Department of Management TechnologySrindhorn International Institute of Technology, Thammasat UniversityTambon Khlong Nung, Amphoe Khlong LuangThailand
  2. 2.LEXER RESEARCH IncTokyoJapan
  3. 3.Production Innovation Center, DENSO CORPORATIONKariya, AichiJapan

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