Skip to main content
SpringerLink
Log in

Evaluation of Emerging Smartphone Manufacturing Countries by Fuzzy MCDM

  • Conference paper
  • First Online:
Advances in Mechanical Engineering and Technology

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

  • 727 Accesses

Abstract

This research aims to rank three emerging countries for smartphone manufacturing hubs for companies planning to reduce supply chain dependency on China. Evaluation of emerging mobile phone manufacturing markets can be decided on various factors, which are non-physical factors and cannot be determined quantitatively. This makes it hard for the respondent to fill the survey. Fuzzy MCDM is one method that can be applied to solve this issue to measure the performance. On the application of the Analytic Hierarchy Process (AHP) for finding the factor importance and TOPSIS to determine the ranks of the countries, it was observed that the aspects concerning smartphone manufacturing are tangible. The ten most critical factors for a hub were identified by the literature review. The final ranking was obtained by the result of the survey.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Liu T, Woo WT (2018) Understanding the US-China trade war. China Econ J 11(3):319–340

    Article  Google Scholar 

  2. Jena J, Pradhan R, Shankar R (2016) A comparative study of indian smartphone manufacturing ecosystem with global best practices for strategic insights. Global J Enterpr Inf Syst 8(4):1–10

    Google Scholar 

  3. Chen YF, Chen BC, Chen WY, Tsai CW, Lin WH (2012) Optimal strategy for the smartphone industry in Taiwan: HTC case study. Int J Intell Inf Technol (IJIIT) 8(4):62–79

    Article  Google Scholar 

  4. Cao Q (2014) Case company software potential in the second hand smartphone market in the Philippines. Taiwan, and Vietnam

    Google Scholar 

  5. Saaty TL (2008) Decision making with the analytic hierarchy process. Int J Serv Sci 1(1):83–98

    Google Scholar 

  6. Lin ZC, Yang CB (1996) Evaluation of machine selection by the AHP method. J Mater Process Technol 57(3–4):253–258

    Article  Google Scholar 

  7. Zimmermann HJ (2011) Fuzzy set theory—and its applications. Springer Science & Business Media

    Google Scholar 

  8. Pedrycz W (1994) Why triangular membership functions? Fuzzy Sets Syst 64(1):21–30

    Article  MathSciNet  Google Scholar 

  9. Hellmann M (2001) Fuzzy logic introduction. Université de Rennes, 1

    Google Scholar 

  10. Lai YJ, Liu TY, Hwang CL (1994) Topsis for MODM. Eur J Oper Res 76(3):486–500

    Article  Google Scholar 

  11. Seghier ML, Ramlackhansingh A, Crinion J, Leff AP, Price CJ (2008) Lesion identification using unified segmentation-normalisation models and fuzzy clustering. Neuroimage 41(4):1253–1266

    Article  Google Scholar 

  12. Ashtiani B, Haghighirad F, Makui A, ali Montazer, G. (2009) Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets. Appl Soft Comput 9(2):457–461

    Article  Google Scholar 

  13. Li DF, Yang JB (2004) Fuzzy linear programming technique for multiattribute group decision making in fuzzy environments. Inf Sci 158:263–275

    Article  MathSciNet  Google Scholar 

  14. Li DF (2011) Closeness coefficient based nonlinear programming method for interval-valued intuitionistic fuzzy multiattribute decision making with incomplete preference information. Appl Soft Comput 11(4):3402–3418

    Article  Google Scholar 

  15. Buckley JJ (1985) Ranking alternatives using fuzzy numbers. Fuzzy Sets Syst 15(1):21–31

    Article  MathSciNet  Google Scholar 

  16. Ahmed S (2012) Supply chain lessons for the new millenium: a case of micromax informatics. Integr Rev: A J Manag 5(2)

    Google Scholar 

  17. Wang Y, Wang J, Wang X (2020) COVID-19, supply chain disruption and China’s hog market: a dynamic analysis. China Agr Econ Rev

    Google Scholar 

  18. Hutchinson MO (1998) The use of fuzzy logic in business decision-making. Deriv Q 4:53–66

    Google Scholar 

  19. Dittrich K, Duysters G (2007) Networking as a means to strategy change: the case of open innovation in mobile telephony. J Prod Innov Manag 24(6):510–521

    Article  Google Scholar 

  20. Tang L, Murphree M, Breznitz D (2016) Structured uncertainty: a pilot study on innovation in China’s mobile phone handset industry. J Technol Transf 41(5):1168–1194

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Automobile Engineering, Delhi Technological University, Delhi, 110042, India

    Dhruv Singh Rathore, Sachin Mann, Vaibhav Panchal & M. S. Niranjan

Authors
  1. Dhruv Singh Rathore
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sachin Mann
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Vaibhav Panchal
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. M. S. Niranjan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dhruv Singh Rathore .

Editor information

Editors and Affiliations

  1. Department of Design, Department of Mechanical Engineering, Delhi Technological University, New Delhi, India

    Ranganath M. Singari

  2. Department of Mechanical Engineering, Indian Institute of Technology Indore, Indore, Madhya Pradesh, India

    Pavan Kumar Kankar

  3. Physico-Mechanical Metrology, CSIR - National Physical Laboratory, New Delhi, India

    Girija Moona

Rights and permissions

Reprints and permissions

Copyright information

© 2022 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

Rathore, D.S., Mann, S., Panchal, V., Niranjan, M.S. (2022). Evaluation of Emerging Smartphone Manufacturing Countries by Fuzzy MCDM. In: Singari, R.M., Kankar, P.K., Moona, G. (eds) Advances in Mechanical Engineering and Technology. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-9613-8_34

Download citation

  • DOI: https://doi.org/10.1007/978-981-16-9613-8_34

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-9612-1

  • Online ISBN: 978-981-16-9613-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation