Skip to main content

Modelling, Simulation and Optimization of Product Flow in a Multi-products Manufacturing Unit: A Case Study

  • Conference paper
  • First Online:
Operations Management and Systems Engineering

Abstract

Simulation is a vital tool for validation of methods and architectures in the complex manufacturing environment before there application on shop floor for the production process. Manufacturing simulation, digital engineering tools and procedures have a positive impact on the manufacturing industry. Simulation models have been extensively used in manufacturing to enhance the design, planning and productivity of the processes. In manufacturing environment, crucial material movement, is controlled by various dynamic factors. Situations becomes cumbersome for assembling plants which deal with multi-product, owing to the dominance and interconnectedness of dynamic factors. Analysing of these factors in real-life business environment is very complex in nature and required the use of modelling and simulation tools. This chapter glimpses modelling and simulation application, in a multi-product automobile gear manufacturing plant, aimed for development of an efficient production system that expresses ability for assurance of timely product deliveries at minimal cost. For three distinct type of gear production lines, simulation-based models were developed using Arena® Simulation Software. The proposed simulation model is capable enough to increase the resource’s utilization rate and production rate of gear manufacturing process by identifying the bottlenecks in the manufacturing system. The models developed are capable enough to be synchronized with the company’s other products and hence aids in highly precise production planning and scheduling exercises within the company.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
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

Abbreviations

SCM:

Supply Chain Management

SC:

Supply Chain

WIP:

Work in Process

EOL:

End of Life

AGV:

Automated Guided Vehicle

ISO:

International Standard Organization

FIFO:

First-in, First-Out

References

  1. Forrester, J.W.: Industrial dynamics–After the first decade. Manag. Sci. 14(7), 398–415 (1968)

    Article  Google Scholar 

  2. Altiok, T., Melamed, B.: Simulation modelling and analysis with Arena. Elsevier (2010)

    Google Scholar 

  3. Rota, K., Thierry, C.: Supply chain management. Prod. Plann. Control 13(4), 370–380 (2002)

    Article  Google Scholar 

  4. Al-Khudairi, T., Al Kattan, I.Y.: Improving supply chain management effectiveness using RFID. IEEE Xplore 191–198 (2007). https://doi.org/10.1109/iemc.2007.5235073

  5. Awasthi, A., Chauhan, S.S.: A simulation model for parts selection and routing in manufacturing systems. In: Proceedings of the 13th IFAC Symposium on Information Control Problems in Manufacturing, pp. 619–623 (2009)

    Google Scholar 

  6. Baldwin, J.S., Allen, P.M., Ridgway, K.: An evolutionary complex systems decision support tool for the management of operations. Int. J. Oper. Prod. Manag. 30(7), 700–720 (2010)

    Article  Google Scholar 

  7. Patel, N.V., Tariq, T.E., Khan, M.: Theory of deferred action. J. Enterp. Inf. Manag. 23(4), 521–537 (2010)

    Article  Google Scholar 

  8. Nyemba, W.R., Dzimba, T.: The role of modelling and simulation in decision making for manufacturing enterprises. In: Proceedings of 5th International Conference on Manufacturing Processes, Systems & Operation Management, pp. 11–21 (2013)

    Google Scholar 

  9. Kumar, H.A.: A review on modelling and simulation of building energy systems. J. Renew. Sustain. Energy Rev. 56, 1272–1292 (2016)

    Google Scholar 

  10. Anderson, D.R., Sweeney, D.J., Williams, T.A., Camm, J.D., Cochran, J.J.: Quantitative methods for business. Twelfth Edition South Western College Publishing Cincinnati (2013)

    Google Scholar 

  11. Negahban, A., Smith, J.S.: Simulation for manufacturing system design and operation: literature review and analysis. J. Manuf. Syst. 33, 241–261 (2014)

    Article  Google Scholar 

  12. Ruiz, N., Giret, A., Botti, V., Feria, V.: An intelligent simualtion environment for manufacturing systems. Comput. Ind. Eng. 76, 148–168 (2014)

    Article  Google Scholar 

  13. Jayant, A., Gupta, P., Garg, S.K.: Simulation modelling and analysis of network design for closed loop supply chain: a case study of battery industry. Procedia Eng. 97, 2213–2231 (2014)

    Article  Google Scholar 

  14. Jayant, A., Gupta, P., Garg, S.K.: Reverse logistics network design for spent batteries: a simulation study. Int. J. Logist. Syst. Manag. 18(3), 343–365 (2014)

    Article  Google Scholar 

  15. Jayant, A., Azhar, M., Singh, P.: Interpretive structural modeling (ISM) approach: a state of the art literature review. Int. J. Res. Mech. Eng. Technol. 4(3), 15–21 (2014). ISSN 2249-5770

    Google Scholar 

  16. Jayant, A., Paul, V., Kumar, U.: Application of analytic network process (ANP) in business environment: a comprehensive literature review. Int. J. Res. Mech. Eng. Technol. 4(3), 29–43 (2014)

    Google Scholar 

  17. Nyemba, W.R., Mbohwa, C.: Modelling, simulation and optimization of the materials flow of a multi-product assembling plant. Procedia Manuf. 8, 59–66 (2017)

    Article  Google Scholar 

  18. Bloomfield, R., Mazhari, E., Hawkins, J., Son, Y.J.: Interoperability of manufacturing applications using the core manufacturing applications using the core manufacturing simulation data standard information model. J. Comput. Ind. Eng. 62, 1065–1079 (2012)

    Article  Google Scholar 

  19. Martis, M.S.: Validation of simulation based models: a theoretical outlook. Electron. J. Bus. Res. Methods 4(1), 39–46 (2006)

    Google Scholar 

  20. Wiktorson, M.: Consideration of legacy structures enabling a double helix development of production systems and products. In: Technology and Manufacturing Process Selection. Springer Series in Advanced Manufacturing (2014)

    Google Scholar 

  21. Kelton, D., Law, W.A.: Simulation Modelling and Analysis. McGraw-Hill, New York (1991)

    Google Scholar 

Download references

Acknowledgements

The authors are highly thankful and share gratitude to whole management and staff of XYZ company, which enabled to succeed in this presented work, by carving cooperative paths for the collection of data and providing all necessary inputs required for pursuing this research work. Editor-in-chief and anonymous referees are also thanked for their valuable suggestions and constructive comments having the potential to explore new horizons in this field.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Janpriy Sharma .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sharma, J., Jayant, A. (2019). Modelling, Simulation and Optimization of Product Flow in a Multi-products Manufacturing Unit: A Case Study. In: Sachdeva, A., Kumar, P., Yadav, O. (eds) Operations Management and Systems Engineering. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-6476-1_11

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-6476-1_11

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6475-4

  • Online ISBN: 978-981-13-6476-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics