Skip to main content
Log in

Immersive virtual reality to vindicate the application of value stream mapping in an US-based SME

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Value stream mapping (VSM) assists in identifying opportunities for improvement by revealing the inefficiencies in the current state. However, several difficulties appear while evaluating such “as-is” state for leaner future state. Trial and error method is often employed for continuous improvement to accomplish the desired level of future state. This causes numerous iterations and improper usage of resources which makes lean application costly and inefficient. In order to tackle this, an immersive virtual reality (IVR) approach to visualize and interact with the image of real models in a computer graphics environment is presented in this article. This allows conducting a quick experimentation in a virtual world to reach optimal future state without exhausting resources or incurring additional cost. In order to reinforce applicability and usefulness of the proposed framework, a case study of an US-based SME is also discussed. This paper first illustrates the implementation procedure of VSM in the manufacturing processes to develop current and future states. Data is collected for a year to analyse the current state and then IVR is used to validate results for future state. A reduction of more than 40 % in lead-time, 41 % in floor space and 47 % in manpower is achieved after a period of 3 months of implementing the recommendations.

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.

Similar content being viewed by others

References

  1. Morgan J, Liker J (2006) The Toyota product development system: integrating people, process, and technology. Productivity Press, New York

    Google Scholar 

  2. Tyagi SK, Choudhary A, Cai X, Yang K (2015) Value stream mapping to reduce the lead-time of a product development process. Int J Prod Econ 160(202):212

    Google Scholar 

  3. Shah R, Ward PT (2003) Lean manufacturing: context, practice bundles, and performance. J Oper Manag 21(129):149

    Google Scholar 

  4. Seth D, Gupta V (2005) Application of value stream mapping for lean operations and cycle time reduction: an Indian case study. Prod Plan Control 16(1):44–59

    Article  Google Scholar 

  5. Singh B, Garg SK, Sharma SK (2011) Value stream mapping: literature review and implications for Indian industry. Int J Adv Manuf Technol 53(5-8):799–809

    Article  Google Scholar 

  6. Houshmand M, Bizhan J (2006) An extended model of design process of lean production systems by means of process variables. Robot Comput Integr Manuf 22(1):1–16

    Article  Google Scholar 

  7. Womack J, Jones D, Roos D (1990) The machine that changed the world. Rawson Associates, New York

    Google Scholar 

  8. Womack J, Jones D (2003) Lean thinking: banish waste and create wealth in your corporation. Free Press, New York

    Google Scholar 

  9. Leonardo R, Chen FF (2007) Measuring the impact of lean tools on the cost–time investment of a product using cost–time profiles. Robot Comput Integr Manuf 23(6):684–689

    Article  Google Scholar 

  10. Fargher JSW (2005) Lean manufacturing and remanufacturing implementation tools. The Remanufacturing Institute, VA

    Google Scholar 

  11. Leo J, Vin D, Amos HC, Ng JO, Sten AF (2006) Information fusion for simulation based decision support in manufacturing. Robot Comput Integr Manuf 22(5):429–436

    Google Scholar 

  12. Biocca F, Levy MR (1995) Communication in the age of virtual reality. Lawrence Erlbaum Associates, NJ

    Google Scholar 

  13. Paez A (2004) The lean manufacturing enterprise: an emerging socio-technological system integration. Hum Factors Ergon Manuf 14(3):285–306

    Article  Google Scholar 

  14. Grajo ES (1996) Strategic layout planning and simulation for lean manufacturing a layout tutorial. Proceedings of 1996 Winter Simulation Conference, 564–568

  15. Detty RB, Yingling JC (2000) Quantifying benefits of conversion to lean manufacturing with discrete event simulation: a case study. Int J Prod Res 38(2):429–445

    Article  MATH  Google Scholar 

  16. Abdulmalek FA, Rajgopal J (2007) Analyzing the benefits of lean manufacturing and value stream mapping via simulation: a process sector case study. Int J Prod Econ 107(223):236

    Google Scholar 

  17. Fernandes KJ, Raja V, White A, Tsinopoulos CD (2006) Adoption of virtual reality within construction processes: a factor analysis approach. Technovation 26:111–120

    Article  Google Scholar 

  18. Tyagi SK, Cai X, Yang K, Chambers T (2015) Lean tools and methods to support efficient knowledge creation. Int J Inf Manag 35(2):204–214

    Article  Google Scholar 

  19. Korves B, Loftus M (2000) Designing an immersive virtual reality interface for layout planning. J Mater Process Technol 107(425):430

    Google Scholar 

  20. Lee WB, Cheung CF, Li JG (2001) Application of virtual reality in material processing. J Mater Process Technol 113:416–423

    Article  Google Scholar 

  21. Winn WD (1993) A conceptual basis for educational applications of virtual reality. Technical Publication R-93-9, Human Interface Technology Laboratory of the Washington Technology Center, Seattle: University of Washington

  22. Serrano I, Ochoa C, de Castro R (2008) Evaluation of value stream mapping in manufacturing system redesign. Int J Prod Res 46(16):4409–4430

    Article  Google Scholar 

  23. Conner G (2009) Lean manufacturing for the small shop. SME, Dearborn

    Google Scholar 

  24. Adams M, Componation P, Czarnecki H, Schroer BJ (1999) Simulation as a tool for continuous process improvement. Proceedings of the Winter Simulation Conference

  25. Verma A, Tyagi SK, Rai R, Yang K (2014) Modeling and optimization of direct metal laser sintering process. Int J Adv Manuf Technol 77(5-8):847–860

    Article  Google Scholar 

  26. Pavnaskar SJ, Gershenson JK, Jambekar AB (2003) Classification scheme for lean manufacturing tools. Int J Prod Res 41(13):3075–3090

    Article  Google Scholar 

  27. Rother M, Shook J (1999) Learning to see: value stream mapping to add value and eliminate MUDA. The Lean Enterprise Institute, Brookline

    Google Scholar 

  28. Lian YL, Landeghem HV (2002) An application of simulation and value stream mapping in lean manufacturing. In Proc. 14th European Simulation Symposium, European Publishing House 300–307

  29. Cookson D, Read C, Cooke M (2011) Improving the quality of emergency department care by removing waste using lean value stream mapping. Int J Clin Leadersh 17(1):25–30

    Google Scholar 

  30. Brunt D (2000) From current state to future state: mapping the steel to component supply chain. Int J Logist Res Appl 3(3):259–271

    Article  Google Scholar 

  31. Arbulu R, Iris T, Walsh K, Hershauer J (2003) Value stream analysis of a re-engineered construction supply chain. Build Res Inf 31(2):161–171

    Article  Google Scholar 

  32. Melvin A, Baglee D (2008) Value stream mapping: a dairy industry prospective. Engineering Management Conference, IEMC Europe 2008

  33. Singh B, Garg SK, Sharma SK (2009) Lean can be a survival strategy during recessionary times. Int J Prod Perform Meas 58(8):803–808

    Article  Google Scholar 

  34. Kumar M, Antony J, Singh RK, Tiwari MK, Perry D (2006) Implementing the lean sigma framework in an Indian SME: a case study. Prod Plan Control 17(4):407–423

    Article  Google Scholar 

  35. Sahoo AK, Singh NK, Shankar R, Tiwari MK (2008) Lean philosophy: implementation in a forging company. Int J Adv Manuf Technol 36(5–6):451–462

    Article  Google Scholar 

  36. Domingo R, Alvarez R, Pena MM, Calvo R (2007) Materials flow improvement in a lean assembly line: a case study. Assem Autom 27(2):141–147

    Article  Google Scholar 

  37. Grewal CS, Sareen KK (2006) Development of model for lean improvement: a case study of automobile industry. Ind Eng J 35(5):24–27

    Google Scholar 

  38. Seth D, Seth N, Goel D (2008) Application of value stream mapping (VSM) for minimization of wastes in the processing side of supply chain of cottonseed oil industry in Indian context. J Manuf Technol Manag 19(4):529–550

    Article  Google Scholar 

  39. Li Z, Jing X, Hou F, Wei F, Na L (2008) Cycle time reduction in assembly and test manufacturing factories: a KPI driven methodology. Ind Eng Eng Manag IEEE Int Conf 1234:1238

    Google Scholar 

  40. McDonald T, Van AEM, Rentes AF (2002) Utilizing simulation to enhance value stream mapping: a manufacturing case application. Int J Logist Res Appl 5(2):213–232

    Article  Google Scholar 

  41. Cai X, Tyagi SK, Yang K (2011) Activity-based costing model for MGPD. Improving complex systems today 409–416

  42. Tyagi SK, Yang K, Tyagi A, Verma A (2012) A fuzzy goal programming approach for optimal product family design of mobile phones and multiple-platform architecture. IEEE Trans Syst Man Cybern Part C Appl Rev 42(6):1519–1530

    Article  Google Scholar 

  43. Forno AJ, Pereira FA, Forcellini FA, Kipper LM (2014) Value stream mapping: a study about the problems and challenges found in the literature from the past 15 years about application of lean tools. Int J Adv Manuf Technol 72(5-8):779–790

    Article  Google Scholar 

  44. Hicks BJ (2007) Lean information management: understanding and eliminating waste. Int J Inf Manag 27(4):233–249

    Article  Google Scholar 

  45. Wu P, Low SP, Jin X (2013) Identification of non-value adding (NVA) activities in precast concrete installation sites to achieve low-carbon installation. Resour Conserv Recycl 81:60–70

    Article  Google Scholar 

  46. Schroer B (2004) Simulation as a tool in understanding the concepts of lean manufacturing. Simulation 80(3):171–175

    Article  Google Scholar 

  47. Marvel JH, Standridge CR (2009) A simulation-enhanced lean design process. J Ind Eng Manag 2(1):90–113

    Google Scholar 

  48. Juggler VR (2001) A virtual platform for virtual reality application development. International Conference on Computer Graphics and Interactive Techniques

  49. Comm CL, Mathaisel Dennis FX (2000) A paradigm for benchmarking lean initiatives for quality improvement. Benchmark Int J 7(2):118–127

    Article  Google Scholar 

  50. Tyagi SK, Ghorpade A, Karunakaran KP, Tiwari MK (2007) Optimal part orientation in layered manufacturing using evolutionary stickers-based DNA algorithm. Virtual Phys Prototyp 2(1):3–19

    Article  Google Scholar 

  51. Whitman L, Madhavan V, Malzahn D. Twomey J (2002) Virtual reality model to aid case learning. In Proceedings of the Industrial Engineering Research Conference, 84–89

  52. Dewar RG, Carpenter ID, Ritchie JM, Simmons JEL (1997) Assembly planning in a virtual environment. Proc. Portland Int’l Conf. on Management of Engineering and Technology, IEEE Press, Piscataway, pp 664–667

    Google Scholar 

  53. Juggler VR. A virtual platform for virtual reality application development. International Conference on Computer Graphics and Interactive Techniques. http://rdeveux.files.wordpress.com/2008/10/iowa-state-virtual-reality-room.jpg

  54. Richard P, Hareux P, Coiffet P, Burdea G (1998) Effect of stereoscopic viewing on human tracking performance in dynamic virtual environments. Lecture Notes in Computer Science

  55. Baumann J. (2010) Military applications of virtual reality. Human Interface Technology Laboratory

  56. McDougall EM et al (2009) Preliminary study of virtual reality and model simulation for learning laparoscopic suturing skills. J Urol 182(3):1018–1025

    Article  Google Scholar 

  57. Aziz FA, Mousavi M (2009) A review of haptic feedback in virtual reality for manufacturing industry. J Mech Eng 40(1): 68–71

  58. Bricken M, Byrnes CM (1993) Summer students in virtual reality: a pilot study on educational applications of virtual reality technology. Academic, Boston, pp 199–217

    Google Scholar 

  59. Tyagi SK, Yang K, Verma A (2013) Non-discrete ant colony optimisation (NdACO) to optimise the development cycle time and cost in overlapped product development. Int J Prod Res 51(2):346–361

    Article  Google Scholar 

  60. Tyagi SK, Yang K, Tyagi A, Dwivedi SN (2011) Development of a fuzzy goal programming model for optimization of lead time and cost in an overlapped product development project using a Gaussian adaptive particle swarm optimization-based approach. Eng Appl AI 24(5):866–879

    Google Scholar 

  61. Schulze A, Schmitt P, Heinzen M, Mayrl P, Heller D, Boutellier R (2013) Exploring the 4I framework of organisational learning in product development: value stream mapping as a facilitator. Int J Comput Integr Manuf 26(12):1136–1150

    Article  Google Scholar 

  62. Shen SX, Han CF (2006) China electrical manufacturing services industry value stream mapping collaboration. Int J Flex Manuf Syst 18(4):285–303

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Satish Tyagi.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tyagi, S., Vadrevu, S. Immersive virtual reality to vindicate the application of value stream mapping in an US-based SME. Int J Adv Manuf Technol 81, 1259–1272 (2015). https://doi.org/10.1007/s00170-015-7301-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-015-7301-1

Keywords

Navigation