Skip to main content
Log in

Moment-based approximations for first- and second-order transient performance measures of an unreliable workstation

  • Original Paper
  • Published:
Operational Research Aims and scope Submit manuscript

Abstract

Performance measures of manufacturing systems have been intensively researched. However, little attention has been paid to the transient performance analysis of non-Markovian production systems. Therefore, this paper proposes a method to approximate the properties of a two-state non-Markovian system. In particular, an unreliable workstation with two states, operating and failed states, is considered. This system is a simplified version of an industrial manufacturing system. Moment-based approximations for the expected output quantity of the workstation at any arbitrary time is derived and discussed. In addition, an upper bound approximation for the variation of the produced amount is proposed. Failure and repair times are assumed to be arbitrarily distributed. The proposed approximations are compared with a simulated model using the ARENA 10 free version software to demonstrate the accuracy of the method. These approximations are nonparametric, easy to implement and depend only on the first three moments of the underlying distributions without recourse to the functional form of the distributions.

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.

Fig. 1

Similar content being viewed by others

References

  • Altiok T (1985) On the phase-type approximations of general distributions. IIE Trans 17:110–116

    Article  Google Scholar 

  • Altiok T (2007) Production lines with phase-type operation and repair times and finite buffers. Int J Prod Res 23:489–498. doi:10.1080/00207548508904723

    Article  Google Scholar 

  • Altiok T, Ranjan R (1989) Analysis of production lines with general service times and finite buffers: a two-node decomposition approach. Eng Costs Prod Econ 17:155–165. doi:10.1016/0167-188X(89)90065-7

    Article  Google Scholar 

  • Angius A, Horváth A, Colledani M (2014) Moments of accumulated reward and completion time in Markovian models with application to unreliable manufacturing systems. Perform Eval 75–76:69–88. doi:10.1016/j.peva.2014.02.005

    Article  Google Scholar 

  • Assaf R, Colledani M, Matta A (2014) Analytical evaluation of the output variability in production systems with general Markovian structure. OR Spectr 36:799–835. doi:10.1007/s00291-013-0343-6

    Article  Google Scholar 

  • Bobbio A, Telek M (1994) A benchmark for ph estimation algorithms: results for acyclic-ph. Commun Stat Stoch Model 10:661–677. doi:10.1080/15326349408807315

    Article  Google Scholar 

  • Buzacott JA, Shanthikumar JG (1993) Stochastic models of manufacturing systems. Prentice Hall, Prentice

    Google Scholar 

  • Chen C-T, Yuan J (2004) Transient throughput analysis for a series type system of machines in terms of alternating renewal processes. Eur J Oper Res 155:178–197. doi:10.1016/S0377-2217(02)00838-X

    Article  Google Scholar 

  • Chen G, Wang C, Zhang L et al (2016) Transient performance analysis of serial production lines with geometric machines. IEEE Trans Autom Control 61:877–891. doi:10.1109/TAC.2015.2444071

    Article  Google Scholar 

  • Ciprut P, Hongler M-O, Salama Y (2000) Fluctuations of the production output of transfer lines. J Intell Manuf 11:183–189. doi:10.1023/A:1008942917166

    Article  Google Scholar 

  • Colledani M, Tolio T (2009) Performance evaluation of transfer lines with general repair times and multiple failure modes. Ann Oper Res 182:31–65. doi:10.1007/s10479-009-0595-3

    Article  Google Scholar 

  • Colledani M, Ekvall M, Lundholm T et al (2010a) Analytical methods to support continuous improvements at Scania. Int J Prod Res 48:1913–1945. doi:10.1080/00207540802538039

    Article  Google Scholar 

  • Colledani M, Matta A, Tolio T (2010b) Analysis of the production variability in multi-stage manufacturing systems. CIRP Ann Manuf Technol 59:449–452

    Article  Google Scholar 

  • Dallery Y, Gershwin SB (1992) Manufacturing flow line systems: a review of models and analytical results. Queueing Syst 12:3–94. doi:10.1007/BF01158636

    Article  Google Scholar 

  • Gershwin S (1993) Variance of the output of a tandem production system. In: Proceedings of the second international conference on queueing networks with finite capacity

  • Hendricks KB (1992) The output processes of serial production lines of exponential machines with finite buffers. Oper Res 40:1139–1147. doi:10.1287/opre.40.6.1139

    Article  Google Scholar 

  • Horvath A (2003) Approximating non-Markovian behaviour by Markovian models. Budapest University of Technology and Economics, Budapest

    Google Scholar 

  • Inman R (1999) Empirical evaluation of exponential and independence assumptions in queueing models of manufacturing systems. Prod Oper Manag 8:409–432. doi:10.1111/j.1937-5956.1999.tb00316.x

    Article  Google Scholar 

  • Kambo NS, Rangan A, Hadji EM (2012) Moments-based approximation to the renewal function. Commun Stat Theory Methods 41:851–868. doi:10.1080/03610926.2010.533231

    Article  Google Scholar 

  • Lang A, Arthur J (1996) Parameter approximation for phase-type distributions. In: Alfa A, Chakravarty S (eds) Matrix-analytic methods in stochastic models. CRC Press, USA, pp 151–206

    Google Scholar 

  • Li J, Meerkov SM (2008) Production systems engineering. Springer Science and Business Media, Berlin

    Google Scholar 

  • Li J, Blumenfeld DE, Huang N, Alden J (2009) Throughput analysis of production systems: recent advances and future topics. Int J Prod Res 47:3823–3851. doi:10.1080/00207540701829752

    Article  Google Scholar 

  • Lindsay BG, Pilla RS, Basak P (2000) Moment-based approximations of distributions using mixtures: theory and applications. Ann Inst Stat Math 52:215–230. doi:10.1023/A:1004105603806

    Article  Google Scholar 

  • Medhi J (1994) Stochastic processes, 2nd edn. Wiley, University of Michigan, New York

    Google Scholar 

  • Meerkov SM, Zhang L (2008) Transient behavior of serial production lines with Bernoulli machines. IIE Trans 40:297–312. doi:10.1080/07408170701488037

    Article  Google Scholar 

  • Miltenburg G (1987) Variance of the number of units produced on a transfer line with buffer inventories during a period of length T. Nav Res Logist 34:811–822

    Article  Google Scholar 

  • Muth EJ (1968) A method for predicting system downtime. IEEE Trans Reliab 17:97–102. doi:10.1109/TR.1968.5217522

    Article  Google Scholar 

  • Narahari Y, Viswanadham N (1994) Transient analysis of manufacturing systems performance. IEEE Trans Robot Autom 10:230–244. doi:10.1109/70.282547

    Article  Google Scholar 

  • Papadopoulos HT (1996) An analytic formula for the mean throughput of K-station production lines with no intermediate buffers. Eur J Oper Res 91:481–494. doi:10.1016/0377-2217(95)00113-1

    Article  Google Scholar 

  • Papadopoulos HT, Heavey C (1996) Queueing theory in manufacturing systems analysis and design: a classification of models for production and transfer lines. Eur J Oper Res 92:1–27. doi:10.1016/0377-2217(95)00378-9

    Article  Google Scholar 

  • Rausand M, Hoyland A (1994) System reliability theory: models, statistical methods, and applications, 2nd edn. John Wiley & Sons, Inc., Hoboken, NJ, USA, p 636

    Book  Google Scholar 

  • Rismanchian F, Hadji EM (2014) Transient analysis of single machine production line dynamics. Int J Oper Res 11:40–50

    Google Scholar 

  • Tan B (1997) Variance of the throughput of an N-station production line with no intermediate buffers and time dependent failures. Eur J Oper Res 101:560–576. doi:10.1016/S0377-2217(96)00191-9

    Article  Google Scholar 

  • Tan B (1998a) Agile manufacturing and management of variability. Int Trans Oper Res 5:375–388

    Article  Google Scholar 

  • Tan B (1998b) An analytical formula for variance of output from a series-parallel production system with no interstation buffers and time-dependent failures. Math Comput Model 27:95–112. doi:10.1016/S0895-7177(98)00031-4

    Article  Google Scholar 

  • Tan B (1998c) Effects of variability on the due-time performance of a continuous materials flow production system in series. Int J Prod Econ 54:87–100. doi:10.1016/S0925-5273(97)00132-1

    Article  Google Scholar 

  • Tan B (2000) Asymptotic variance rate of the output in production lines with finite buffers. Ann Oper Res 93:385–403. doi:10.1023/A:1018992327521

    Article  Google Scholar 

  • Tan B (2003) State-space modeling and analysis of pull-controlled production systems. Analysis and modeling of manufacturing systems. Springer, Berlin, pp 363–398

    Chapter  Google Scholar 

  • Telek M, Pfening A (1996) Performance analysis of Markov regenerative reward models. Perform Eval 27–28:1–18. doi:10.1016/S0166-5316(96)90017-6

    Article  Google Scholar 

  • Whitt W (1982) Approximating a point process by a renewal process, I: two basic methods. Oper Res 30:125–147

    Article  Google Scholar 

  • Wu W, Tang Y, Yu M, Jiang Y (2015) Computation and transient analysis of a k-out-of-n: G repairable system with general repair times. Oper Res Int J 15:307–324. doi:10.1007/s12351-015-0181-1

    Article  Google Scholar 

  • Xia B, Xi L, Zhou B, Du S (2013) An efficient analytical method for performance evaluation of transfer lines with unreliable machines and finite transfer-delay buffers. Int J Prod Res 51:1799–1819

    Article  Google Scholar 

Download references

Acknowledgments

We are indebted to the editor and anonymous referees of the journal for their constructive comments that helped us to improve the quality of this paper. In addition, the first author would like to thank Professor Alagar Rangan for sharing his insights regarding this study and for his suggestions. This work was partially supported by National Research Foundation of Korea (NRF). Grant funded by the Korean government (MSIP) under Grant No. NRF-2014R1A2A2A03003874.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Farhood Rismanchian.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rismanchian, F., Lee, Y.H. Moment-based approximations for first- and second-order transient performance measures of an unreliable workstation. Oper Res Int J 18, 75–95 (2018). https://doi.org/10.1007/s12351-016-0254-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12351-016-0254-9

Keywords

Mathematics Subject Classification

Navigation