Risk Identification Activities Warehouse using Fuzzy AHP and Fuzzy FMEA Method

Garnisa Ikwanus Sofa Ullul Albab; Supriyadi Supriyadi; Ahmad Nalhadi; Mohamad Jihan Shofa; Ardita Maharani

doi:10.22441/ijiem.v4i3.20516

Authors

Garnisa Ikwanus Sofa Ullul Albab Universitas Serang Raya, Indonesia
Supriyadi Supriyadi Universitas Serang Raya, Indonesia http://orcid.org/0000-0001-6613-8385
Ahmad Nalhadi Universitas Serang Raya, Indonesia
Mohamad Jihan Shofa Universitas Serang Raya, Indonesia
Ardita Maharani Universitas Serang Raya, Indonesia

DOI:

https://doi.org/10.22441/ijiem.v4i3.20516

Keywords:

AHP, FMEA, Fuzzy, Warehouse

Abstract

Warehouse is an important part of a company's supply chain. The supply chain of a company involves various stages of activity, including the inspection stage, product¬ion stage, marketing stage, material handling stage, and finished product stage. Problems that occur related to the handling of poor product processes have an impact on the loading process and product delivery to consumers. Resolution methods from the literature can use AHP, FMEA, Fuzzy FMEA, and Fuzzy AHP-FMEA. This research tries to integrate Fuzzy AHP and Fuzzy FMEA to get a priority ranking of risk levels and provide recommen¬dations for decisions in warehouse management. The use of fuzzy in both methods because both methods use expert opinion and fuzzy can minimize the bias value of each respondent. The result of the research is a recommendations for the priority order of improvement of various potential risks that occur in the warehouse.

Downloads

Download data is not yet available.

References

Anshori, Y. (2012). Pendekatan Triangular Fuzzy Number dalam Metode Analytic Hierarchy Process. Foristek, 2(1), 126–135. https://foristek.fatek.untad.ac.id/index.php/foristek/article/view/93

Balaraju, J., Govinda Raj, M., & Murthy, C. S. (2019). Fuzzy-FMEA risk evaluation approach for LHD machine-A case study. Journal of Sustainable Mining, 18(4), 257–268. https://doi.org/10.1016/j.jsm.2019.08.002

Chan, F. T. S., Kumar, N., Tiwari, M. K., Lau, H. C. W., & Choy, K. L. (2008). Global supplier selection: a fuzzy-AHP approach. International Journal of Production Research, 46(14), 3825–3857. https://doi.org/10.1080/00207540600787200

Chanamool, N., & Naenna, T. (2016). Fuzzy FMEA application to improve decision-making process in an emergency department. Applied Soft Computing, 43, 441–453. https://doi.org/10.1016/j.asoc.2016.01.007

Dağsuyu, C., Göçmen, E., Narlı, M., & Kokangül, A. (2016). Classical and fuzzy FMEA risk analysis in a sterilization unit. Computers & Industrial Engineering, 101, 286–294. https://doi.org/10.1016/j.cie.2016.09.015

Du, Y., Lu, X., Su, X., Hu, Y., & Deng, Y. (2016). New Failure Mode and Effects Analysis: An Evidential Downscaling Method. Quality and Reliability Engineering International, 32(2), 737–746. https://doi.org/https://doi.org/10.1002/qre.1753

Fazli, M., & Kazerooni, M. (2022). Investigation of FMEA Improvement to Present a New Framework for an Efficient Failure Risk Analysis of the Products, Considering Cost Matter. Iranian Journal of Science and Technology, Transactions of Mechanical Engineering, 46(4), 1225–1244. https://doi.org/10.1007/s40997-021-00474-w

Hassan, A., Purnomo, M. R. A., & Anugerah, A. R. (2020). Fuzzy-analytical-hierarchy process in failure mode and effect analysis (FMEA) to identify process failure in the warehouse of a cement industry. Journal of Engineering, Design and Technology, 18(2), 378–388. https://doi.org/10.1108/JEDT-05-2019-0131

Hu, A. H., Hsu, C.-W., Kuo, T.-C., & Wu, W.-C. (2009). Risk evaluation of green components to hazardous substance using FMEA and FAHP. Expert Systems with Applications, 36(3, Part 2), 7142–7147. https://doi.org/10.1016/j.eswa.2008.08.031

Indrawati, S., Karunia Ningtyas, K. N., Khoirani, A. B., & Shinta, R. C. (2018). Risk analysis of warehouse operation in a power plant through a Modified FMEA. MATEC Web of Conferences, 154, 01089. https://doi.org/10.1051/matecconf/201815401089

Ivančan, J., & Lisjak, D. (2021). New FMEA Risks Ranking Approach Utilizing Four Fuzzy Logic Systems. In Machines (Vol. 9, Issue 11). https://doi.org/10.3390/machines9110292

Javanbarg, M. B., Scawthorn, C., Kiyono, J., & Shahbodaghkhan, B. (2012). Fuzzy AHP-based multicriteria decision making systems using particle swarm optimization. Expert Systems with Applications, 39(1), 960–966. https://doi.org/10.1016/j.eswa.2011.07.095

Jin, G., Meng, Q., & Feng, W. (2022). Optimization of Logistics System with Fuzzy FMEA-AHP Methodology. Processes, 10(10), 1973. https://doi.org/10.3390/pr10101973

Kabir, S., & Papadopoulos, Y. (2018). A review of applications of fuzzy sets to safety and reliability engineering. International Journal of Approximate Reasoning, 100, 29–55. https://doi.org/10.1016/j.ijar.2018.05.005

Kutlu, A. C., & Ekmekçioğlu, M. (2012). Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP. Expert Systems with Applications, 39(1), 61–67. https://doi.org/10.1016/j.eswa.2011.06.044

Lee, H., Lee, H., Baik, J., Kim, H., & Kim, R. (2017). Failure mode and effects analysis drastically reduced potential risks in clinical trial conduct. Drug Design, Development and Therapy, 11, 3035–3043. https://doi.org/10.2147/DDDT.S145310

Mandal, S., & Maiti, J. (2014). Risk analysis using FMEA: Fuzzy similarity value and possibility theory based approach. Expert Systems with Applications, 41(7), 3527–3537. https://doi.org/10.1016/j.eswa.2013.10.058

Oskoue, A. K., Modiri, M., Alesheikh, A., & Hosnavi, R. (2016). Assessment of spatial data infrastructure from risk perspective. International Journal of Spatial Data Infrastructures Research, 11, 98–127. https://ijsdir.sadl.kuleuven.be/index.php/ijsdir/article/view/412

Roghanian, E., & Mojibian, F. (2015). Using fuzzy FMEA and fuzzy logic in project risk management. Iranian Journal of Management Studies, 8(3), 373. https://ijms.ut.ac.ir/article_53634.html

Sadiq, R., & Tesfamariam, S. (2009). Environmental decision-making under uncertainty using intuitionistic fuzzy analytic hierarchy process (IF-AHP). Stochastic Environmental Research and Risk Assessment, 23(1), 75–91. https://doi.org/10.1007/s00477-007-0197-z

Schuller, B. W., Burns, A., Ceilley, E. A., King, A., LeTourneau, J., Markovic, A., Sterkel, L., Taplin, B., Wanner, J., & Albert, J. M. (2017). Failure mode and effects analysis: A community practice perspective. Journal of Applied Clinical Medical Physics, 18(6), 258–267. https://doi.org/10.1002/acm2.12190

Sukwadi, R., Wenehenubun, F., & Wenehenubun, T. W. (2017). Pendekatan Fuzzy FMEA dalam Analisis Faktor Risiko Kecelakaan Kerja. Jurnal Rekayasa Sistem Industri, 6(1), 29–38. https://doi.org/10.26593/jrsi.v6i1.2425.29-38

Supriyadi, S., Ramayanti, G., & Afriansyah, R. (2017). Analisis Total Productive Maintenance Dengan Metode Overall Equipment Effectiveness dan Fuzzy Failure Mode and Effects Analysis. Sinergi: Jurnal Teknik Mercu Buana, 21(3), 165–172. https://doi.org/10.22441/sinergi.2017.3.002

Tang, O., & Musa, S. N. (2011). Identifying risk issues and research advancements in supply chain risk management. International Journal of Production Economics, 133(1), 25–34. https://doi.org/10.1016/j.ijpe.2010.06.013

Trikal, S. P., & Thakare, S. A. (2018). Systematic approach for FMEA to stringent implementation of Law of Land for Flammable Goods Warehouse. International Journal of Scientific Research in Science, Engineering and Technology, 4(8), 590–594. https://ijsrset.com/IJSRSET1848126

Ustundag, A. (2012). Risk Evaluation of Warehouse Operations Using Fuzzy FMEA. In S. Greco, B. Bouchon-Meunier, G. Coletti, M. Fedrizzi, B. Matarazzo, & R. R. Yager (Eds.), Advances in Computational Intelligence (pp. 403–412). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-31724-8_42

Ustundag, A. (2014). A Fuzzy Risk Assessment Model for Warehouse Operations. Journal of Multiple-Valued Logic & Soft Computing, 22(1-2), 133–149. http://www.oldcitypublishing.com/journals/mvlsc-home/mvlsc-issue-contents/mvlsc-volume-22-number-1-2-2014/mvlsc-22-1-2-p-133-149/

Vahdani, B., Salimi, M., & Charkhchian, M. (2015). A new FMEA method by integrating fuzzy belief structure and TOPSIS to improve risk evaluation process. The International Journal of Advanced Manufacturing Technology, 77(1), 357–368. https://doi.org/10.1007/s00170-014-6466-3

Yazdi, M. (2019). Improving failure mode and effect analysis (FMEA) with consideration of uncertainty handling as an interactive approach. International Journal on Interactive Design and Manufacturing (IJIDeM), 13(2), 441–458. https://doi.org/10.1007/s12008-018-0496-2

Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X

Zadeh, L. A. (2015). Fuzzy logic—a personal perspective. Fuzzy Sets and Systems, 281, 4–20. https://doi.org/10.1016/j.fss.2015.05.009