Publication Type:

Conference Paper

Source:

2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016, Institute of Electrical and Electronics Engineers Inc. (2017)

ISBN:

9781509006113

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019978749&doi=10.1109%2fICCIC.2016.7919602&partnerID=40&md5=91882bcd6d245b4993f73dc83d7e8d33

Keywords:

Accident prevention, Artificial intelligence, Computation theory, Computational technique, Continuous improvements, Fuzzy logic, Industrial research, Information integration, Manufacture, Manufacturing organizations, Multigrade, Organizational commitment, Risk management, Safety factor, Safety practices, Traditional manufacturing

Abstract:

Safety emphasis in manufacturing organizations is given prior importance compared to traditional manufacturing practices. This paper discusses about safety practice index calculation using multi grade fuzzy approach. A conceptual model has been developed for calculation of safety index. Usage of Fuzzy logic gives a unique advantage of being compatible and having a clear quantitative computation avoiding bias. Factors which affect the safety level of an organization is identified. Major impacting factors include organizational commitment and information integration. Usage of computational techniques in manufacturing organization makes information available to every employee in organization transparently. Research scope is limited to current manufacturing standards which are on practice and addition of variables can be done accordingly to change in practice standards. A case study test is computed to a manufacturing organization to ensure the effectiveness of the formulation. It revealed most important factor in driving safety level of organization is their auditing procedures. Improvement actions for the organization under study are also proposed. Although there is adequate facilities available to enhance safety practice in manufacturing organization, implementation of safety practices is most important and difficult process.

Notes:

cited By 0; Conference of 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016 ; Conference Date: 15 December 2016 Through 17 December 2016; Conference Code:127661

Cite this Research Publication

J. Ganesh and Dr. Suresh M., “Safety practice level assessment using multigrade fuzzy approach: A case of Indian manufacturing company”, in 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016, 2017.

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