Skip to main content
Log in

Effect of reworking on defective parts in a flexible assembly cell

  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Consider a flexible assembly cell, consisting of a set of general-purpose machines, a finite-capacity local storage, a loading station, an unloading station and an integrated automated inspection station, where workpieces are processed according to the first-come, first-served dispatching rule, and the inspection station is capable of detecting (i) non- repairable defective, (ii) repairable defective and (iii) non-defective workpieces. This workstation is capable of processing workpieces belonging to the same family of parts, and is also capable of reprocessing the inspected defective repairable workpieces. In this paper, the performance of the workstation is modelled by anM/G/1/K queueing system with a Poisson arrival process, a buffer of sizeK, a single server, generally distributed processing time, the first-come, first-served queueing discipline and an instantaneous Bernoulli feedback mechanism. This performance model is developed to define the relationships among the loading, the processing, the inspection and the unloading operations. Finally, to be able to study the tandem behaviour of this workstation in an assembly-line manufacturing environment, the throughput process from the workstation is also identified.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. D. J. Daley and D. N. Shanbhag, (1975), “Independent inter-departure times inM/G/1/N queues”,Journal of the Royal Statistical Society, Series B,37, pp. 259–263, 1975.

    Google Scholar 

  2. R. L. Disney and P. C. Kiessler,Traffic Processes in Queueing Networks: A Markov Renewal Approach, John Hopkins University Press, Baltimore, 1987.

    Google Scholar 

  3. P. J. Kuehn, “Approximate analysis of general queueing networks by decomposition”,IEEE Transactions on Communications,COMM-27(1), pp. 113–126, 1979.

    Google Scholar 

  4. W. Whitt, “The queueing network analyzer”,Bell System Technical Journal,62(9), part 1, pp. 2779–2815, 1983.

    Google Scholar 

  5. B. Pourbabai, “An assembly cell with an automated quality control station: generally distributed processing times”,International Journal of Robotics and Computer-Integrated Manufacturing,6(2), pp. 117–123, 1989.

    Google Scholar 

  6. B. Pourbabai, “An assembly cell with an automated quality control station: a finite capacity and generally distributed processing times”,International Journal of Computers and Mathematics,18(4), pp. 321–328, 1989.

    Google Scholar 

  7. P. H. Waghodekar and S. Sahu, “Group technology: a research bibliography”,Research,20(4), pp. 225–249, 1983.

    Google Scholar 

  8. A. V. Feigenbaum,Total Quality Control, 3rd Edn, McGraw-Hill, New York, 1983.

    Google Scholar 

  9. D. Gross and C. M. Harris,Fundamentals of Queueing Theory, Wiley, New York, 1975.

    Google Scholar 

  10. R. L. Disney, D. Konig and V. Schmidt, “Stationary queue length and waiting time distributions in single server feedback queues”,Advances in Applied Probability,16, pp. 437–446, 1984.

    Google Scholar 

  11. N. M. Akulinichev and V. A. Ivannikov, “Distribution of the characteristics of a stream of lost calls”,Izv. Akad. Nauk SSSR, Tech Kibernetika,4, pp. 85–90 (Engl. transl. “Distribution of lost calls”,Engineering Cybernetics,4, pp. 695–700, 1970).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Pourbabai, B. Effect of reworking on defective parts in a flexible assembly cell. Int J Adv Manuf Technol 8, 96–101 (1993). https://doi.org/10.1007/BF01748774

Download citation

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01748774

Keywords

Navigation