Skip to main content

Improvements in Production Line Using ProModel© Simulation Software: A Case Study of Beer Beverage Company in India

  • Conference paper
  • First Online:
Advances in Industrial and Production Engineering

Abstract

In the present competitive market scenarios, the beverage industries are working hard to increase the production volume without compromising the quality of products. There are many ways to improve the effectiveness and performance of the production lines, such as minimizing the transportation time between the locations, utilizing the buffer storages, removing and replacing manually operated and semi-automatic machines, use of group technology and many more methods. In the present study, a beer production company located in Sonipat (Haryana) India is a Small-to-Medium Enterprise (SME) striving to improve its production line layout. Thus, the exiting layout of the production line has been simulated using ProModel© 7.5 simulation software and two alternative production line layouts have been suggested with improved work-in-progress, higher production volume and less transportation time. In one alternative layout, the buffer storage and rearrangement of machines for shortening the travel distance have been introduced and in another alternative layout, the automatic guided vehicle has been replaced with the conveyor as well as two machines namely filling machine and capping machine have been replaced by a machine called Filling and Capping machine in order to perform both operation at the same time. Various conclusions have been drawn and the cost analysis has been presented to justify the suggested changes.

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 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

References

  1. Monroy, D.F.Z., Vallejo, C.C.R.: Production planning and resource scheduling of a brewery with plant simulation. In: Use Cases of Discrete Event Simulation, pp. 321–330. Springer, Berlin, Heidelberg (2012)

    Google Scholar 

  2. Matende, N.R.: Optimization of packaging operations for Beer production line effeciency (Doctoral dissertation, Kyambogo University) (2019)

    Google Scholar 

  3. Savsar, M.: Flexible facility layout by simulation. Comput. Ind. Eng. 20(1), 155–165 (1991)

    Article  Google Scholar 

  4. Drira, A., Pierreval, H., Hajri-Gabouj, S.: Facility layout problems: a survey. Annual Rev. Control 31(2), 255–267 (2007)

    Article  Google Scholar 

  5. Chierotti, M., Rozenblit, J.W.: Simulation modeling in factory layout optimization. IFAC Proc. Vol. 25(28), 235–239 (1992)

    Article  Google Scholar 

  6. Phanden, R.K., Demir, H.I., Gupta, R.D.: Application of genetic algorithm and variable neighborhood search to solve the facility layout planning problem in job shop production system. In: 2018 7th International Conference on Industrial Technology and Management (ICITM), pp. 270–274. IEEE (2018)

    Google Scholar 

  7. Phanden, R.K., Saharan, L.K., Erkoyuncu, J.A.: Simulation based cuckoo search optimization algorithm for flexible job shop scheduling problem. In: Proceedings of the International Conference on Intelligent Science and Technology, pp. 50–55 (2018)

    Google Scholar 

  8. Phanden, R.K., Palková, Z., Sindhwani, R.: A framework for flexible job shop scheduling problem using simulation-based cuckoo search optimization. In: Advances in Industrial and Production Engineering, pp. 247–262. Springer, Singapore (2019)

    Google Scholar 

  9. Sharma, P., Phanden, R.K., Singhal, S.: A comparative analysis of facility layout design and optimization techniques. In: Proceedings of the 2nd National Conference on Advancements in the Era of Multi Disciplinary Systems (AEMDS-2013) (2013)

    Google Scholar 

  10. Sharma, M., Phanden, R.K., Sharma, P.: Comparative evaluation of facility layout alternatives based on material handling cost. Int. J. Technol. Res. Eng. 7(2), 748–751 (2015)

    Google Scholar 

  11. Altinkilinc, M.: Simulation-based layout planning of a production plant. In: Proceedings of the 2004 Winter Simulation Conference, 2004, vol. 2, pp. 1079–1084. IEEE (2004)

    Google Scholar 

  12. Tearwattanarattikal, P., Namphacharoen, S., Chamrasporn, C.: Using ProModel as a simulation tools to assist plant layout design and planning: case study plastic packaging factory. Songklanakarin J. Sci. Technol. 30(1) (2008)

    Google Scholar 

  13. Smutkupt, U., Wimonkasame, S.: Plant layout design with simulation. In: Proceedings of the international multi-conference of engineers and computer scientists, vol. 2, pp. 18–20 (2009)

    Google Scholar 

  14. Jayachitra, R., Prasad, P.S.S.: Design and selection of facility layout using simulation and design of experiments. Indian J. Sci. Technol. 3(4), 437–446 (2010)

    Article  Google Scholar 

  15. Edis, R.S., Kahraman, B., Araz, Ö.U., Özfırat, M.K.: A facility layout problem in a marble factory via simulation. Math. Comput. Appl. 16(1), 97–104 (2011)

    Google Scholar 

  16. Shariatzadeh, N., Sivard, G., Chen, D.: Software evaluation criteria for rapid factory layout planning, design and simulation. Procedia CIRP 3, 299–304 (2012)

    Article  Google Scholar 

  17. John, B., Jenson, J.E.: Analysis and simulation of factory layout using ARENA. Int. J. Sci. Res. Publ. 3(2), 1–8 (2013)

    Google Scholar 

  18. Said, M.A.B.M., Ismail, N.B.: Improvement of production line layout using arena simulation software. In: Applied Mechanics and Materials. vol. 446, pp. 1340–1346. Trans Tech Publications Ltd. (2014)

    Google Scholar 

  19. Kumar, V., Verma, P., Onkar, S.P.S., Katiyar, J.: Facility and process layout analysis of an SME using simulation: a case study of a manufacturing company. In: Conference Paper Presented at: International Conference on Industrial Engineering and Operations Management, pp. 8–10 (2016)

    Google Scholar 

  20. Polshettiwar, A.A., Trivedi, D.P., Sardar, M.V.B., Rajhans, N.R.: Optimization of plant layout using simulation software. In: Conference 6th International and 27th All India Manufacturing Technology, Design and Research Conference (AIMTDR-2016), 16–18 Dec 2016 at College of Engineering, Pune, Maharashtra, India (2016)

    Google Scholar 

  21. Patil, R.J., Kubade, P.R., Kulkarni, H.B.: Optimization of machine shop layout by using flexsim software. In: AIP Conference Proceedings, vol. 2200, no. 1, p. 020033. AIP Publishing LLC, (2019)

    Google Scholar 

  22. Singh, P.L., Sindhwani, R., Dua, N.K., Jamwal, A., Aggarwal, A., Iqbal, A., Gautam, N.: Evaluation of common barriers to the combined lean-green-agile manufacturing system by two-way assessment method. In: Advances in Industrial and Production Engineering, pp. 653–672. Springer, Singapore (2019)

    Google Scholar 

  23. Sindhwani, R., Singh, P.L., Prajapati, D.K., Iqbal, A., Phanden, R.K., Malhotra, V.: Agile system in health care: literature review. In: Advances in Industrial and Production Engineering, pp. 643–652. Springer, Singapore (2019)

    Google Scholar 

  24. Mittal, V.K., Sindhwani, R., Singh, P.L., Kalsariya, V., Salroo, F.: Evaluating significance of green manufacturing enablers using MOORA method for Indian manufacturing sector. In: Proceedings of the International Conference on Modern Research in Aerospace Engineering, pp. 303–314. Springer, Singapore (2018)

    Google Scholar 

  25. Sindhwani, R., Singh, P.L., Iqbal, A., Prajapati, D.K., Mittal, V.K.: Modeling and analysis of factors influencing agility in healthcare organizations: an ISM approach. In: Advances in Industrial and Production Engineering, pp. 683–696. Springer, Singapore, (2019)

    Google Scholar 

  26. Mittal, V.K., Sindhwani, R., Shekhar, H., Singh, P.L.: Fuzzy AHP model for challenges to thermal power plant establishment in India. Int. J. Oper. Res. 34(4), 562–581 (2019)

    Article  Google Scholar 

  27. Sindhwani, R., Singh, P.L., Chopra, R., Sharma, K., Basu, A., Prajapati, D.K., Malhotra, V.: Agility evaluation in the rolling industry: a case study. In: Advances in Industrial and Production Engineering, pp. 753–770. Springer, Singapore (2019)

    Google Scholar 

  28. Sindhwani, R., Mittal, V.K., Singh, P.L., Kalsariya, V., Salroo, F.: Modelling and analysis of energy efficiency drivers by fuzzy ISM and fuzzy MICMAC approach. Int. J. Prod. Quality Manag. 25(2), 225–244 (2018)

    Google Scholar 

Download references

Acknowledgements

We are highly thankful for the company management to provide us the complete details of machines and equipment. Also, we are grateful to the managers of the company for their kind support and guidance.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jatinder Chhabra .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Phanden, R.K., Chhabra, J., Chaudhary, T., Kaliramna, A. (2021). Improvements in Production Line Using ProModel© Simulation Software: A Case Study of Beer Beverage Company in India. In: Phanden, R.K., Mathiyazhagan, K., Kumar, R., Paulo Davim, J. (eds) Advances in Industrial and Production Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-33-4320-7_2

Download citation

  • DOI: https://doi.org/10.1007/978-981-33-4320-7_2

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-4319-1

  • Online ISBN: 978-981-33-4320-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics