Open Access

ARTICLE

Weighing and Prioritizing Noise Control Methods Using the Delphi Technique and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) in an Iranian Tire Manufacturing Factory

Mohammad Reza Ghotbi-Ravandi¹, Davoud Hassanvand², Sajad Zare^3,*, Milad Beytollahi⁴

1 Associate Professor, Department of Occupational Health, School of Public Health, Kerman University of Medical Sciences and Health Services, Kerman, Iran
2 Master of Occupational Health, Student Research Committee, School of Public Health, Kerman University of Medical Sciences and Health Services, Kerman, Iran
3 Assistant Professor, Department of Occupational Health, School of Public Health, Kerman University of Medical Sciences and Health Services, Kerman, Iran
4 Department of Industrial Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran

* Corresponding Author: Sajad Zare. Email:

Sound & Vibration 2020, 54(3), 201-213. https://doi.org/10.32604/sv.2020.08651

Received 19 September 2019; Accepted 24 December 2019; Issue published 31 August 2020

Abstract

Undoubtedly, noise has become a major hazardous issue in today’s industrial world, with a lot of people suffering from exposure to excessive noise in their work environments. This study was conducted to weigh and prioritize noise control methods in an Iranian tire manufacturing complex in Iran. The Delphi method and the Technique for Order Preference by Similarity and an Ideal Solution (TOPSIS) were utilized for this purpose. This cross-sectional, descriptive study was conducted in the baking hall of an Iranian tire manufacturing factory in 2016. To weigh and prioritize noise control methods, Analytic Hierarchy Process (AHP) and TOPSIS were applied. In total, 4 criteria and 8 alternatives were examined. An AHP and TOPSIS questionnaire was then designed to prioritize noise control methods in the light of the objectives, criteria, and alternatives. Then, the collected data were fed into Expert Choise. V. 11 and Excel and data analysis was carried out using TOPSIS. The results of data analysis indicated that the inconsistency rate in all the cases was smaller than 10%, hence the consistency of the responses was verified. According to the TOPSIS results and experts’ opinions about the criteria, implementation and maintenance cost (with a weight of 0.481) and method effectiveness and efficiency (with a weight of 0.046) had the highest and lowest priority respectively. Based on the weights TOPSIS, the appropriate methods for controlling noise in tire manufacturing are designing and manufacturing silencer, requiring people in charge to quickly fix the leaks and change baking press washers on time.

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