An AN ANALYSIS OF EMERGENCY RESPONSE COSTS DUE TO FALSE ALARM SYSTEM

  • Isrorudin Isrorudin Industrial Engineering Department, BINUS Graduate Program – Master of Industrial Engineering, Bina Nusantara University, Jakarta, Indonesia, 11480
  • Agus Maulana Industrial Engineering Department, BINUS Graduate Program – Master of Industrial Engineering, Bina Nusantara University, Jakarta, Indonesia, 11480
  • Asep Maryono Industrial Engineering Department, BINUS Graduate Program – Master of Industrial Engineering, Bina Nusantara University, Jakarta, Indonesia, 11480
  • Fergyanto E. Gunawan Industrial Engineering Department, BINUS Graduate Program – Master of Industrial Engineering, Bina Nusantara University, Jakarta, Indonesia, 11480
  • Muhammad Asrol Industrial Engineering Department, BINUS Graduate Program - Master of Industrial Engineering, Bina Nusantara University, Jakarta, Indonesia 11480
https://doi.org/10.35457/jares.v7i1.1665
Abstract views: 373 , PDF downloads: 399
Keywords: Alarm systems, Cost analysis, Cost Comparison, False alarm, Fire Detection

Abstract

Losses from fire events can be minimized if the fire detection and alarm system installed in an area function properly. The conditions will be different if an alarm that sounds is not the result of real conditions that can trigger a fire - also known as a false alarm. The false alarm condition gives a loss to the company. In this research, an analysis and comparison of costs in the detection and alarm systems conducted on the existing company fires with the same risk of false alarms, repairs fire detection and alarm system, and investment costs. The probability of a false alarm calculated in the existing condition, to know the potential losses charged to the company due to unnecessary emergency response activities. As well, investment costs were analysed to improve the performance of the system. Two alternative conditions were found to improve company’s performance.

Downloads

Download data is not yet available.

References

Ahrens, M. (2013). Development of a Risk-Based Decision Support Tool to Assist Fire Departments in Managing Unwanted Alarms Task 2 Deliverable-Literature Review Final Report. www.nfpa.org/Foundation
Ahrens, M. (2016). NFPA Journal - The Unwanted Conundrum. NFPA Journal. https://www.nfpa.org/News-and-Research/Publications-and-media/NFPA-Journal/2016/May-June-2016/Features/Unwanted-alarms
Anwar, F., Boby, R. I., Rashid, M. M., Alam, M. M., & Shaikh, Z. (2017). Network-Based Real-time Integrated Fire Detection and Alarm (FDA) System with Building Automation. IOP Conference Series: Materials Science and Engineering, 260(1), 012025. https://doi.org/10.1088/1757-899X/260/1/012025
Bin Bahrudin, M. S., Kassim, R. A., & Buniyamin, N. (2013). Development of Fire alarm system using Raspberry Pi and Arduino Uno. 2013 International Conference on Electrical, Electronics and System Engineering, ICEESE 2013, August, 43–48. https://doi.org/10.1109/ICEESE.2013.6895040
Cahill, J., Cullen, P., Anwer, S., Gaynor, K., & Wilson, S. (2020). The Requirements for New Tools for Use by Pilots and the Aviation Industry to Manage Risks Pertaining to Work-Related Stress (WRS) and Wellbeing, and the Ensuing Impact on Performance and Safety. Technologies, 8(3), 40. https://doi.org/10.3390/technologies8030040
Cai, K. Y. (1996). System failure engineering and fuzzy methodology An introductory overview. Fuzzy Sets and Systems, 83(2), 113–133. https://doi.org/10.1016/0165-0114(95)00385-1
Chagger, R, & Smith, D. (2014). The causes of false fire alarms in buildings Briefing Paper. www.bre.co.uk
Chagger, Raman. (2012). Reducing false fire alarms in buildings. BRE Group. https://www.bregroup.com/insights/reducing-false-fire-alarms-in-buildings/
Chow, W. K., Fong, N. K., & Ho, C. C. (1999). Analysis of Unwanted Fire Alarm: Case Study. Journal of Architectural Engineering, 5(2), 62–65. https://doi.org/10.1061/(asce)1076-0431(1999)5:2(62)
Colombo, A. (2018). Fighting False Fire Alarms In Facilities. Facility Excecutive . https://facilityexecutive.com/2018/12/fighting-false-fire-alarms-facilities/
Durrel, B. (n.d.). How Much Does a Home Security System cost? | Butler Durrell Security. Retrieved April 29, 2021, from https://www.butlerdurrellsecurity.com/how-much-does-a-home-security-system-cost/
Jafari, M. J., Pouyakian, M., khanteymoori, A., & Hanifi, S. M. (2020). Reliability evaluation of fire alarm systems using dynamic Bayesian networks and fuzzy fault tree analysis. Journal of Loss Prevention in the Process Industries, 67(July), 104229. https://doi.org/10.1016/j.jlp.2020.104229
Karter, M. (2013). NFPA report - False alarm activity in the U.S. In National Fire Protection Association . https://www.nfpa.org/News-and-Research/Data-research-and-tools/Emergency-Responders/False-alarm-activity-in-the-US
Marks, M. (2014). False alarms and cost analysis of monitored fire detection system.
Proulx, G. (2000). Why do building occupants so often ignore fire alarm . Construction Technology Update , 1–5. https://nrc-publications.canada.ca/eng/view/ft/?id=fff17388-a26d-4d7f-b307-d8030d1a6b4a
Qu, N., Cheng, N., Li, Z., & Li, J. (2013). Failure risk assessment of fire alarm system. Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013, 250–253. https://doi.org/10.1109/MEC.2013.6885079
Thomas, I. R. (2002). Effectiveness of Fire Safety Components and Systems. Journal of Fire Protection Engineering, 12(2), 63–78. https://doi.org/10.1177/1042391502012002784
To, H., & Fong, N. (2013). Investigation of the performance and improvement of optical smoke detectors. Procedia Engineering, 62, 985–993. https://doi.org/10.1016/j.proeng.2013.08.152
Wang, J., Asce, S. M., Razavi, S. N., & Asce, M. (2014). Low False Alarm Rate Model for Unsafe-Proximity Detection in Construction. Journal of Computing in Civil Engineering, 30(2). https://doi.org/10.1061/(ASCE)CP.1943-5487.0000470
Yaping He, & Nelson, D. (2008). A Comparative Study of Effectiveness of Smoke Alarms in Two Types of Buildings. Journal of Fire Sciences, 26(5), 415–434. https://doi.org/10.1177/0734904108092112
Zafar, R., Zaib, S., & Asif, M. (2020). False fire alarm detection using data mining techniques. International Journal of Decision Support System Technology, 12(4), 21–35. https://doi.org/10.4018/IJDSST.2020100102

PlumX Metrics

Published
2022-03-25
How to Cite
Isrorudin, I., Maulana, A., Maryono, A., Gunawan, F. E., & Asrol, M. (2022). An AN ANALYSIS OF EMERGENCY RESPONSE COSTS DUE TO FALSE ALARM SYSTEM. JARES (Journal of Academic Research and Sciences), 7(1), 1-10. https://doi.org/10.35457/jares.v7i1.1665
Issue
Vol. 7 No. 1 (2022): March 2022
Section
Articles

Copyright (c) 2022 JARES (Journal of Academic Research and Sciences)

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Authors who publish with this journal agree to the following terms:

  1. Copyright on any article is retained by the author(s).
  2. Author grant the journal, right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work’s authorship and initial publication in this journal.
  3. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  4. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
  5. The article and any associated published material is distributed under the Creative Commons Attribution-ShareAlike 4.0 International License