Skip to main content
Log in

DVSMS: dynamic value stream mapping solution by applying IIoT

  • Published:
Sādhanā Aims and scope Submit manuscript

Abstract

The purpose of any business is to delight the customer as a primary stakeholder, thereby enhancing the growth and profitability. Understanding customer needs and building them on end to end value chain not only will result in serving customers on time, but also improve the effectiveness of the processes to retain competitiveness. Value stream mapping remains a popular visualization tool in the hands of the Lean Manager who seeks to produce more with less. However, value stream mapping (VSM) tends to be static and skill dependent. With the advent of Industrial Internet of Things (IIoT), there could be a paradigm shift on how VSM could be leveraged for maximizing results. IIoT makes it possible to convert the VSM as a dynamic one, enhancing with several additional parameters measured simultaneously in real time, making the relationship between cause and effect more visible. Literally, with the addition of IIoT, we could digitally re-live the moments from the past to identify the connections between the cause and effect more specifically with better accuracy. In this paper, we attempt to clarify how IIoT could enhance the VSM as a strategic differentiator for making better decisions. In a sensor-based efficiency monitoring system, the VSM becomes dynamic; thereby all the parameters including the bottleneck operations could be continuously monitored and acted upon to attain the future state eliminating the dependency on the expertise of the people.

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.

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9

Similar content being viewed by others

References

  1. Balaji V, Venkumar P, Sabitha M S, Vijayalakshmi S and Sre R R 2016 Smart manufacturing through sensor-based efficiency monitoring system (SBEMS). In: International Conference on Soft Computing and Pattern Recognition,VIT, Vellore (pp. 34–43). Springer, Cham.

  2. Mohanasundaram K and Nikhil M D 2017 Application of lean principles along with internet of things (IoT) to improve supply chain efficiencies. Int. J. Res. IT Manag. (IJRIM) 7(6): 24–33

    Google Scholar 

  3. Reddy G S, Lingareddy H and Jagadeeshwar K 2013 Value stream mapping in a manufacturing industry. Int. J. Adv. Eng. Technol. 4(2): 20–23

    Google Scholar 

  4. Dighe S B and Kakirde A 2014 Lean manufacturing implementation using value stream mapping: a case study of pumps manufacturing company. Int. J. Sci. Res. 3(6): 2492–2498

    Google Scholar 

  5. Narahari Y, Viswanadham N, Meenakshisundaram C R and Rao P H 1990 Integrated analytical models for flexible manufacturing systems. Sadhana 15(4–5): 331–342

    Article  Google Scholar 

  6. Viswanadham N and Lakshminarayanan A 1998 An agent-based information architecture for shop-floor control. Sadhana 23(4): 359–376

    Article  Google Scholar 

  7. Parihar S, Jain S and Bajpai L 2012 Value stream mapping: a case study of assembly process. Int. J. Eng. Technol. 1(8): 01–07

    Google Scholar 

  8. Dzanya M and Mukada C 2015 Value stream mapping in glide manufacturing: a case study of Insti-Tools in Zimbabwe. Int. J. Sci. Technol. Soc. 3: 6–10

    Article  Google Scholar 

  9. Mark Crawford 2017 Lean, the internet of things and manufacturing. https://www.gray.com/news/blog/2017/09/21/lean-the-internet-of-things-and-manufacturing as on 28 Feb 2019

  10. Ramadan M, Wang Z and Noche B 2012 RFID-enabled dynamic value stream mapping. In: Proceedings of 2012 IEEE International Conference on Service Operations and Logistics and Informatics, pp. 117–122

  11. Solding P and Gullander P 2009 Concepts for simulation-based value stream mapping. In: Winter Simulation Conference, pp. 2231–2237

  12. Antonelli D and Stadnicka D 2018 Combining factory simulation with value stream mapping: a critical discussion. Procedia CIRP 67: 30–35

    Article  Google Scholar 

  13. Tamás P 2016 Application of value stream mapping at flexible manufacturing systems. Key Eng. Mater. 686: 168–173

    Article  Google Scholar 

  14. Abdoli S, Kara S and Kornfeld B 2017 Application of dynamic value stream mapping in warehousing context. Mod. Appl. Sci. 11(1): 1913–1852

    Google Scholar 

  15. Rother M and Shook J 2003 Learning to see: value stream mapping to add value and eliminate muda. Lean Enterprise Institute

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M S Sabitha.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Balaji, V., Venkumar, P., Sabitha, M.S. et al. DVSMS: dynamic value stream mapping solution by applying IIoT. Sādhanā 45, 38 (2020). https://doi.org/10.1007/s12046-019-1251-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12046-019-1251-5

Keywords

Navigation