Skip to main content
SpringerLink
Log in

Modelling the quality enabled factors of facility layout design stage of production system life cycle

  • Original Article
  • Published:
International Journal of System Assurance Engineering and Management Aims and scope Submit manuscript

Abstract

The aim of this paper is to identify and develop the structural cause and effect relationship among the various quality enabled factors that affect the facility layout design stage of production system life cycle. In the paper, nine factors are identified from literature survey and experts’ opinion and then these are validated by questionnaire survey. Then, interpretive structural modelling approach is utilized to obtain the structural relationship among these factors of facility layout design stage. This developed structural model not only provides a complete structural relationship among the various factors but also provides the direction to the manufacturing managers for designing and implementing appropriate policies in order to have efficient facility layout design. Moreover, classification of factors has been carried out on the basis of dependence and driving power with the help of MICMAC analysis in order to find the key factors of facility layout design stage.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Attri R, Grover S (2015a) Production system life cycle: an inside story. Int J Ind Syst Eng 19(4):483–514

    Google Scholar 

  • Attri R, Grover S (2015b) Analyzing the scheduling system stage of production system life cycle. Manag Sci Lett 5(5):431–442

    Article  Google Scholar 

  • Attri R, Grover S (2015c) Contextual relationship among the quality enabled factors of inventory control system stage. Int J Recent Adv Mech Eng 4(2):45–57

    Article  Google Scholar 

  • Attri R, Grover S, Dev N, Kumar D (2013a) An ISM approach for modelling the enablers in the implementation of Total Productive Maintenance (TPM). Int J Syst Assur Eng Manag 4(4):313–326

    Article  Google Scholar 

  • Attri R, Grover S, Dev N, Kumar D (2013b) Analysis of barriers of Total Productive Maintenance (TPM). Int J Syst Assur Eng Manag 4(4):365–377

    Article  Google Scholar 

  • Attri R, Dev N, Sharma V (2013c) Interpretive structural modelling (ISM) approach: an overview. Res J Manag Sci 2(2):3–8

    Google Scholar 

  • Borade AB, Bansod SV (2011) Interpretive structural modelling-based framework for VMI adoption in Indian industries. Int J Adv Manuf Technol 58(9–12):1227–1242

    Google Scholar 

  • Dubey R, Ali SS (2014) Identification of flexible manufacturing system dimensions and their interrelationship using total interpretive structural modelling and fuzzy MICMAC analysis. Global J Flex Syst Manag 15(2):131–143

    Article  Google Scholar 

  • Govindan K, Azevedo SG, Carvalho H, Cruz-Machado V (2013) Lean, green and resilient practices influence on supply chain performance: interpretive structural modeling approach. Int J Environ Sci Technol. doi:10.1007/s13762-013-0409-7

    Google Scholar 

  • Hadi-Vencheh A, Mohamadghasemi A (2013) An integrated AHP–NLP methodology for facility layout design. J Manuf Syst 32:40–45

    Article  Google Scholar 

  • Jadhav JR, Mantha SS, Rane SB (2014a) Development of framework for sustainable Lean implementation: an ISM approach. J Ind Eng Int. doi:10.1007/s40092-014-0072-8

    Google Scholar 

  • Jadhav JR, Mantha SS, Rane SB (2014b) Analysis of interactions among the barriers to JIT production: interpretive structural modelling approach. J Ind Eng Int. doi:10.1007/s40092-014-0092-4

    Google Scholar 

  • Jadhav JR, Mantha SS, Rane SB (2014c) Roadmap for Lean implementation in Indian automotive component manufacturing industry: comparative study of UNIDO Model and ISM Model. J Ind Eng Int. doi:10.1007/s40092-014-0074-6

    Google Scholar 

  • Jayalakshmi B, Pramod (2014) Total interpretive structural modeling (TISM) of the enablers of a flexible control system for industry. Global J Flex Syst Manag. doi:10.1007/s40171-014-0080-y

    Google Scholar 

  • Kannan D, Diabat A, Shankar KM (2014) Analyzing the drivers of end-of-life tire management using interpretive structural modeling (ISM). Int J Adv Manuf Technol 72(9–12):1603–1614

    Article  Google Scholar 

  • Kumar S, Luthra S, Haleem A (2013) Customer involvement in greening the supply chain: an interpretive structural modeling methodology. J Ind Eng Int. doi:10.1186/2251-712X-9-6

    Google Scholar 

  • Mandal A, Deshmukh SG (1994) Vendor selection using interpretive structural modeling (ISM). Int J Oper Prod Manag 14(6):52–59

    Article  Google Scholar 

  • Maniya KD, Bhatt MG (2011) An alternative multiple attribute decision making methodology for solving optimal facility layout design selection problems. Comput Ind Eng 61:542–549

    Article  Google Scholar 

  • Mathiyazhagan K, Haq AN (2013) Analysis of the influential pressures for green supply chain management adoption—an Indian perspective using interpretive structural modeling. Int J Adv Manuf Technol 68(1–4):817–833

    Article  Google Scholar 

  • Pandey VC, Suresh G, Ravi S (2005) An interpretive structural modelimg of enabler variables for integration in supply chain management. Productivity 46(1):93–108

    Google Scholar 

  • Raj T, Attri R (2011) Identification and modelling of barriers in the implementation of TQM. Int J Product Qual Manag 8(2):153–179

    Article  Google Scholar 

  • Raj T, Attri R, Jain V (2012) Modelling the factors affecting flexibility in FMS. Int J Ind Syst Eng 11(4):350–374

    Google Scholar 

  • Rao RV, Singh D (2012) Weighted Euclidean distance based approach as a multiple attribute decision making method for plant or facility layout design selection. Int J Ind Eng Comput 3:365–382

    Google Scholar 

  • Ravi V, Shankar R (2005) Analysis of interactions among the barriers of reverse logistics. Technol Forecast Soc Chang 72:1011–1029

    Article  Google Scholar 

  • Sage A (1977) Interpretive structural modeling: Methodology for largescale systems. McGraw-Hill, New York

    Google Scholar 

  • Singh MD, Kant R (2008) Knowledge management barriers: an interpretive structural modelling approach. Int J Manag Sci Eng Manag 3(2):141–150

    Google Scholar 

  • Singh RK, Garg SK, Deshmukh SG, Kumar M (2007) Modeling of critical success factors for implementation of AMTs. J Model Manag 2(3):232–250

    Article  Google Scholar 

  • Sivaprakasam R, Selladurai V, Sasikumar P (2014) Implementation of interpretive structural modelling methodology as a strategic decision making tool in a Green Supply Chain Context. Ann Oper Res. doi:10.1007/s10479-013-1516-z

    MATH  Google Scholar 

  • Soti A, Shankar R, Kaushal OP (2010) Modeling the enablers of Six Sigma using interpreting structural modeling. J Model Manag 5(2):124–141

    Article  Google Scholar 

  • Sule DR (1994) Manufacturing facilities location, planning and design. PWS Publishing Company, Boston

    Google Scholar 

  • Taghavi A, Murat A (2011) A heuristic procedure for the integrated facility layout design and flow assignment problem. Comput Ind Eng 61:55–63

    Article  Google Scholar 

  • Tompkins JA, White JA, Bozer YA, Frazelle EH, Tanchoco JM, Trevino J (1996) Facilities planning. Wiley, New York

    Google Scholar 

  • Warfield JW (1974) Developing interconnected matrices in structural modelling. IEEE Transcr Syst Men Cybern 4(1):51–81

    MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, YMCA University of Science and Technology, Faridabad, Haryana, 121006, India

    Rajesh Attri & Sandeep Grover

Authors
  1. Rajesh Attri
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sandeep Grover
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Rajesh Attri.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Attri, R., Grover, S. Modelling the quality enabled factors of facility layout design stage of production system life cycle. Int J Syst Assur Eng Manag 8 (Suppl 1), 413–423 (2017). https://doi.org/10.1007/s13198-015-0386-y

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13198-015-0386-y

Keywords

Search

Navigation