Skip to main content
SpringerLink
Log in

Exploring the Optimal Path for Supply Chain System Using Queueing Models

  • Conference paper
  • First Online:
Intelligent Computing Applications for Sustainable Real-World Systems (ICSISCET 2019)

Part of the book series: Proceedings in Adaptation, Learning and Optimization ((PALO,volume 13))

  • 468 Accesses

Abstract

In this paper, we are exploring the optimal path for the supply chain system by using queueing models. We analyze different optimal paths are designed using various optimal channels from a different location. This article aims to obtain the best optimal path so that the delivery of the system makes more effective. The various performance measures have been determined such as queue length, response time and waiting time corresponding to store, packing, and transportation by adopting different paths. Numerical results have been obtained using MATLAB which validates for our model.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Xu, X., Munson, C.L., Zeng, S.: The impact of e-service offering on the demand of online customers. Int. J. Prod. Econ. 184, 231–244 (2017)

    Article  Google Scholar 

  2. Kvasnicova, T., Kremenova, I., Fabus, J.: From an analysis of e-services definitions and classifications to the proposal of new e-service classification. Proc. Econ. Financ. 39, 192–196 (2016)

    Article  Google Scholar 

  3. Kumar, J., Shinde, V.: Study of industrial model for five-input, five-stage network. In: Optimal Inventory Control and Management Techniques, Chap. 15, pp. 300–339. IGI Global, USA (2016). https://doi.org/10.4018/978-1-4666-9888-8

  4. Zhou, W., Huang, W., Zhang, R.: A two-stage queuing network on form postponement supply chain with correlated demands. Appl. Math. Model. 38, 2734–2743 (2014)

    Article  MathSciNet  Google Scholar 

  5. Taherdoost, H., Sahibuddin, S., Ibrahim, S., Kalantari, A.: A review paper of e-services, technology concepts. In: 8th International Conference Interdisciplinary in Engineering, INTER-ENG-2014, Romania (2014)

    Google Scholar 

  6. Mokaddis, G.S., Ismail, A., Metry, M.K.: A queueing model for solving three layer supply chain. J. Math. Comput. Sci. 2, 226–240 (2012)

    MathSciNet  Google Scholar 

  7. Sahraeian, R., Bashiri, M., Ramezani, M.: A stochastic multi-product, multi-stage supply chain design considering products waiting time in the queue. In: Proceedings of the International Conference on Industrial Engineering and Operations Management (2010)

    Google Scholar 

  8. Bhaskar, V., Lallement, P.: Modeling a supply chain using a network of queues. Appl. Math. Model. 34, 2074–2088 (2010)

    Article  MathSciNet  Google Scholar 

  9. Kerbachea, L., James, Mac-Gregor S.: Networks and the topological design of supply chain systems. Int. J. Prod. Econ. 91, 251–272 (2004)

    Article  Google Scholar 

  10. Scott, J., Mason, P., Mauricio, R., Jennifer, A.F.: Integrating the warehousing and transportation functions of the supply chain. Transp. Res. Part E 39, 141–159 (2003)

    Article  Google Scholar 

  11. Viswanadhan, N., Raghavan, N.R.S.: Performance modeling of supply chains using networks. In: Proceeding of the 2001 IEEE. In: International Conference on Robotics & Automation Seoul, 21–26 May 2001, pp. 529–534 (2001)

    Google Scholar 

  12. Medjkoune, L.B., Aissaui, D.: Performance analysis approximation in a queueing system of type M/G/1. Math. Methods Oper. Res. 63, 341–356 (2006)

    Article  MathSciNet  Google Scholar 

  13. Zhang, M., Hou, Z.: Performance analysis of M/G/1 queue with working vacations and vacation interruption. J. Comput. Appl. Math. 234(10), 2971–2985 (2010)

    Article  MathSciNet  Google Scholar 

  14. Onazine, S., Abbhan, K.: A numerical analysis of the M/G/1/N queue with vacations. In: 12th IFAC/IEEE Workshop on Discrete Event Systems Caching, 14–16 May 2004, France (2004). 978-3-902823-61-8/2014

    Google Scholar 

Download references

Acknowledgement

The authors of this paper extend their Gratitude to the Director MITS GWALIOR and TEQIP III under AICTE New Delhi for extending their necessary support.

Author information

Authors and Affiliations

  1. Department of Applied Mathematics, Madhav Institute of Technology and Science, Gwalior, M.P., India

    Jitendra Kumar & Vikas Shinde

Authors
  1. Jitendra Kumar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Vikas Shinde
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Jitendra Kumar or Vikas Shinde .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Madhav Institute of Technology and Science, Gwalior, India

    Manjaree Pandit

  2. Department of Electrical Engineering, Madhav Institute of Technology and Science, Gwalior, India

    Laxmi Srivastava

  3. Mechanical Engineering Dept, A-2 Quarter, S.V. National Institute of Technology, Surat, Gujarat, India

    Ravipudi Venkata Rao

  4. Department of Mathematics, South Asian University, New Delhi, Delhi, India

    Jagdish Chand Bansal

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kumar, J., Shinde, V. (2020). Exploring the Optimal Path for Supply Chain System Using Queueing Models. In: Pandit, M., Srivastava, L., Venkata Rao, R., Bansal, J. (eds) Intelligent Computing Applications for Sustainable Real-World Systems. ICSISCET 2019. Proceedings in Adaptation, Learning and Optimization, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-030-44758-8_17

Download citation

Publish with us

Policies and ethics

Search

Navigation