Skip to main content
SpringerLink
Log in

Modelling and analysis of agile manufacturing system by ISM and MICMAC analysis

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

Abstract

The paper aims to examine the design and implementation model for Agile Manufacturing System (AMS). This paper contributes to the literature on AMS by identify the factors for adoption of AMS. Nevertheless, there is relatively little research on AMS and techniques that take into account the dynamic nature of manufacturing system. To address this gap, the paper firstly reviews systematically the introduction on AMS; secondly, it provides the various factors necessary to address question and implementation of AMS in industry; thirdly, it uses interpretive structural modeling and MICMAC analysis, to illustrate the designing and implementation of AMS and fourthly, highlights the influence of factors including, organizational structure, outsourcing, top management support, convertibility etc. Finally, this paper concludes with managerial implication and further research directions.

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

Similar content being viewed by others

References

  • Abdollahi M, Razmi J, Arvan M (2015) An integrated approach for supplier portfolio selection: lean or agile? Expert Syst Appl 42(1):679–690

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

    Google Scholar 

  • Attri R, Grover S, Dev N, Kumar D (2013c) Analysis of barriers of total productive maintenance (TPM). Int J Syst Assur Eng Manag 4(4):365–377

    Article  Google Scholar 

  • Chakraborty A, Mandal P (2014) Understanding challenges of supply chain sustainability in Asia. Int J Process Manag Benchmark 4(1):51–68

    Article  Google Scholar 

  • Davis T, Moon YM, Kota S (1994) Design of reconfigurable machine tools. J Manuf syst 2(3):29–30

    Google Scholar 

  • Dubey R, Guneskaran A (2015) Agile Manufacturing: framework and its empirical validation. Int J Adv Manuf Technol 76(9–12):2147–2157

    Article  Google Scholar 

  • Fullerton RR, Kennedy FA, Widener SK (2014) Lean manufacturing and firm performance: the incremental contribution of lean management accounting practices. J Oper Manag 32(7–8):414–428

    Article  Google Scholar 

  • Goyal S, Grover S (2013) Manufacturing system’s effectiveness measurement by using combined approach of ANP and GTMA. Int J Syst Assur Eng Manag 4(4):404–423

    Article  Google Scholar 

  • Gunaeskaran A (1999) Agile manufacturing: a framework for research and development. Int J Prod Econ 62(1–2):87–105

    Article  Google Scholar 

  • Gunasekaran A, Tirtiroglu E, Wolstencroft V (2002) An investigation into the application of agile manufacturing in an aerospace company. Technovation 22(7):405–415

    Article  Google Scholar 

  • Jain V, Raj T (2015a) Evaluating the intensity of variables affecting flexibility in FMS by graph theory and matrix approach. Int J Ind Syst Eng 19(2):137–154

    Google Scholar 

  • Jain V, Raj T (2015b) Modeling and analysis of FMS flexibility factors by TISM and fuzzy MICMAC. Int J Syst Assur Eng Manag 6(3):350–371

    Article  Google Scholar 

  • Jayant A, Azhar M, Singh P (2015) Interpretive structural modeling (ISM) approach: a state of the art literature review. Int J Res Mech Eng Technol 5(1):15–21

    Google Scholar 

  • Kumar S, Sharma RK (2015) An ISM based framework for structural relationship among various manufacturing flexibility dimensions. Int J Syst Assur Eng Manag 6(4):511–521

    Article  MathSciNet  Google Scholar 

  • Malhotra V (2014) Modelling the barriers affecting design and implementation of reconfigurable manufacturing system. Int J Logist Syst Manag 17(2):200–217

    Article  Google Scholar 

  • Mehrabi MG, Ulsoy AG, Koren Y, Heytler P (2002) Trends and perspectives in flexible and reconfigurable manufacturing systems. J Intell Manuf 13(2):135–146

    Article  Google Scholar 

  • Meredith S, Francis D (2000) Journey towards agility: the agile wheel explores. TQM Mag 12(2):137–143

    Article  Google Scholar 

  • Mishra RP (2014) Structural modelling and analysis of world-class maintenance system: a graph theoretic approach. Int J Process Manag Benchmark 4(1):69–88

    Article  Google Scholar 

  • Mittal VK, Sangwan KS (2011) Development of an interpretive structural model of obstacles to environmentally conscious technology adoption in Indian industry. In: Hesselbach J, Herrmann C (eds) Glocalized solutions for sustainability in manufacturing. Springer, Berlin, Heidelberg, pp 383–388

    Chapter  Google Scholar 

  • Mittal VK, Sangwan KS (2013) Assessment of inter-relationships and hierarchy among barriers to environmentally conscious manufacturing. World J Sci Technol Sustain Dev 10(4):297–307

    Article  Google Scholar 

  • Mittal VK, Sangwan KS (2014) Modeling drivers for successful adoption of environmentally conscious manufacturing. J Model Manag 9(2):127–140

    Article  Google Scholar 

  • Mohammed LR, Shankar R, Banwet DK (2008) Creating flex-lean-agile value chain by outsourcing: an ISM-based interventional roadmap. Bus Process Manag J 14(3):338–389

    Article  Google Scholar 

  • Pan F, Nagi R (2013) Multi-echelon supply chain network design in agile manufacturing. Int J Manag Sci 41:969–983

    Google Scholar 

  • Powell L (2002) Shedding a tier: flattening organisational structures and employee empowerment. Int J Educ Manag 16(1):54–59

    Article  Google Scholar 

  • Raj T, Shankar R, Suhaib M (2008) An ISM approach for modelling the enablers of flexible manufacturing system: the case for India. Int J Prod Res 46(24):6883–6912

    Article  Google Scholar 

  • Routroy S, Potdar PK, Shankar A (2015) Measurement of manufacturing agility: a case study. Meas Bus Excell 19(2):1–22

    Article  Google Scholar 

  • Sarkis J (2001) Benchmarking for agility. Benchmark: An Int J 8(2):88–107

    Article  Google Scholar 

  • Sindhwani R, Malhotra V (2013) Overview and drivers of agile manufacturing system : a review. Int J Mark Technol 3(12):144–154

    Google Scholar 

  • Sindhwani R, Malhotra V (2015) Lean and agile manufacturing system barriers. Int J Adv Res Innov 3(1):110–112

    Google Scholar 

  • Singh H, Khamba JS (2011) An interpretive structural modelling (ISM) approach for advanced manufacturing technologies (AMTs) utilisation barriers. Int J Mechatron Manuf Syst 4(1):35–48

    Google Scholar 

  • Singh M, Khan IA, Grover S (2011) Selection of manufacturing process using graph theoretic approach. Int J Syst Assur Eng Manag 2(4):301–311

    Article  Google Scholar 

  • Singh S, Kumar R, Kumar U (2015) Modelling factors affecting human operator failure probability in railway maintenance tasks: an ISM-based analysis. Int J Syst Assur Eng Manag 6(2):129–138

    Article  Google Scholar 

  • Speredelozzi VM, Koren Y, Hu SJ (2003) Convertibility measures for manufacturing system. CIRP Ann Manuf Technol 52(1):367–370

    Article  Google Scholar 

  • Talib F, Rahman Z, Qureshi MN (2011) An interpretive structural modelling approach for modelling the practices of total quality management in service sector. Int J Model Oper Manag 1(3):223–250

    Google Scholar 

  • Yusuf YY, Sarhadi M, Gunasekaran A (1999) Agile Manufacturing : the drivers, concepts and attributes. Int J Prod Econ 62(1):33–43

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Mechanical and Automation Engineering, Amity University, Uttar Pradesh, Noida, UP, 201313, India

    Rahul Sindhwani

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

    Vasdev Malhotra

Authors
  1. Rahul Sindhwani
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Vasdev Malhotra
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Rahul Sindhwani.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sindhwani, R., Malhotra, V. Modelling and analysis of agile manufacturing system by ISM and MICMAC analysis. Int J Syst Assur Eng Manag 8, 253–263 (2017). https://doi.org/10.1007/s13198-016-0426-2

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13198-016-0426-2

Keywords

Search

Navigation