Proceedings of the International Conference on Advanced Technology and Multidiscipline (ICATAM 2024)

Risk Management to Identify and Analyze Risks in Bio-briquette Production Operational Activities

Authors
Nispi Azzumardi1, *, Mosses Laksono Singgih1
1Department of Industrial and Systems Engineering, Faculty of Industrial Technology and Systems Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
*Corresponding author.
Corresponding Author
Nispi Azzumardi
Available Online 1 November 2024.
DOI
10.2991/978-94-6463-566-9_19How to use a DOI?
Keywords
Bio-briquettes; Failure Mode and Effect Analysis (FMEA); Production Process; Risk Matrix
Abstract

Bio-briquettes are derived from organic materials consisting of sawdust, coconut shells, and other organic waste. Bio-briquette production is also an effort to preserve the environment so as not to use fossil fuels. The production process of bio-briquettes is inseparable from risks that can interfere with the smooth running of the production process. Therefore, the risks in the production process need to be identified involving all stages of the process in bio-briquette production. The identification process in this study uses the Failure Mode and Effect Analysis (FMEA) and Risk Matrix. The approach uses the Failure Mode and Effect Analysis (FMEA) method, namely severity, occurrence, and detection, and calculating the RPN value to determine the priority of errors in the production process. Then all risks are categorized according to the risk matrix into three risk levels, namely high risk, medium risk, and low risk. The use of methods of Failure Mode and Effect Analysis (FMEA) and Risk Matrix is to improve safety in bio-briquette production process activities and product quality. The results of the research show that the risk identification results show that there are 79 risks in all bio-briquette operational activities. The identification results are categorized based on risk levels, namely very low-risk level, namely 1%, low, namely 32%, medium, namely 16%, high, namely 30% and 21% are classified as high risk. Then the results of the proposed type of treatment are mitigation by 60% and risk retention by 40%.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Advanced Technology and Multidiscipline (ICATAM 2024)
Series
Advances in Engineering Research
Publication Date
1 November 2024
ISBN
978-94-6463-566-9
ISSN
2352-5401
DOI
10.2991/978-94-6463-566-9_19How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Nispi Azzumardi
AU  - Mosses Laksono Singgih
PY  - 2024
DA  - 2024/11/01
TI  - Risk Management to Identify and Analyze Risks in Bio-briquette Production Operational Activities
BT  - Proceedings of the  International Conference on Advanced Technology and Multidiscipline (ICATAM 2024)
PB  - Atlantis Press
SP  - 293
EP  - 304
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-566-9_19
DO  - 10.2991/978-94-6463-566-9_19
ID  - Azzumardi2024
ER  -