skip to main content
10.1145/3647444.3647837acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicimmiConference Proceedingsconference-collections
research-article

Fuzzy Logic Decision Making Approach to identify the maximum influencing factor on productivity

Published: 13 May 2024 Publication History

Abstract

Enhancing productivity is a core objective of any organization whether it is manufacturing or service one. Several factors both technological and human related are responsible for an improved performance. Beyond continuous improvement in process, sound product design and efficient process design, factors related with human aspects are responsible for enhanced performance of any manufacturing organization. Organization structure, ergonomics, motivation and group cohesiveness are significant human related factors. This article has considered those human related factors and applied the multi criteria decision making technique fuzzy logic to rank those factors based on the survey conducted in a small-scale manufacturing industry. The paper ranks those factors by fuzzy scores and identifies the most influencing factor for the organization.

References

[1]
Sammarco, M., Fruggiero, F., Neumann, W. P., & Lambiase, A. (2013). Agent-based modelling of movement rules in DRC systems for volume flexibility: human factors and technical performance. International Journal of Production Research, 52(3), 633–650. 
[2]
Sun, X., Houssin, R., Renaud, J., & Gardoni, M. (2018). A review of methodologies for integrating human factors and ergonomics in engineering design. International Journal of Production Research, 1–16. 
[3]
Lee, M. T., & Raschke, R. L. (2016). Understanding employee motivation and organizational performance: Arguments for a set-theoretic approach. Journal of Innovation & Knowledge, 1(3), 162–169. 
[4]
Maslow, A. H. (1943). A theory of human motivation. Psychological Review, 50(4), 370–396. 
[5]
Spanemberg, F., Ferreira, A., Silva, M. and Sellitto, M. (2020). Investing in the knowledge of shop floor workforce – a systemic analysis. International Journal of Industrial Engineering: Theory, Practice and Applications. 27(4). Pp 546-557
[6]
Müceldili, B., & Erdil, O. (2015). Cultivating Group Cohesiveness: The Role of Collective Energy. Procedia - Social and Behavioral Sciences, 207, 512–518. 
[7]
Chen, L., & Wang, P. P. (2002). Fuzzy relation equations (I): the general and specialized solving algorithms. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 6(6), 428–435.
[8]
Hsieh, T.-Y., Lu, S.-T., & Tzeng, G.-H. (2004). Fuzzy MCDM approach for planning and design tenders selection in public office buildings. International Journal of Project Management, 22(7), 573–584. 
[9]
Dursun, M. and Arslan, O. (2020). A combined fuzzy multi-criteria group decision making framework for material selection procedure: integration of fuzzy qfd with fuzzy topsis, International Journal of Industrial Engineering, Theory, Practice and Applications.27(4).pp 585-601.
[10]
Mohanty, B. K., & Bhasker, B. (2005). Product classification in the Internet business—a fuzzy approach. Decision Support Systems, 38(4), 611–619. 
[11]
Olfat, L., Mahsa Pishdar, M., and Ghasemzadeh, F. (2019). A type-2 fuzzy network data envelopment analysis for fmcg distributors’ performance evaluation with sustainability approach. International Journal of Industrial Engineering:Theory, Practice and Applications. 26(5). Pp 663-687.
[12]
Carron, A. V., Bray, S. R., & Eys, M. A. (2002). Team cohesion and team success in sport. Journal of Sports Sciences, 20(2), 119–126. 

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
ICIMMI '23: Proceedings of the 5th International Conference on Information Management & Machine Intelligence
November 2023
1215 pages
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 May 2024

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. Artificial intelligence
  2. Knowledge representation and reasoning
  3. Vagueness and fuzzy logic
  4. computing methodologies
  5. ergonomics
  6. fuzzy logic
  7. group cohesiveness
  8. motivation
  9. organizational structure
  10. productivity

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Conference

ICIMMI 2023

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 11
    Total Downloads
  • Downloads (Last 12 months)11
  • Downloads (Last 6 weeks)3
Reflects downloads up to 15 Feb 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media