Risk Prioritization in A Manufacturing Project with Fuzzy SWARA and Fuzzy MOORA Methods

Year 2024, Volume: 17 Issue: 1, 16 - 36, 28.03.2024

Tülay Korkusuz Polat , Gülsüm Saltan Yaşlı

https://doi.org/10.18185/erzifbed.1229541

Abstract

Businesses must constantly change and develop to keep up with customer needs and changes in the market. Not being able to adapt to change or not being ready enough can bring risks. These changes and risks can affect both the process and the outputs of the process. It is essential to be prepared for the possible risks experienced in the operations, especially in project-based, production-to-order enterprises, to meet the customer's demands and to comply with the delivery date. Businesses must implement an effective risk assessment process to achieve this. This study implemented a risk prioritization for a new business project that produces energy storage systems by having to order. Changes must be made in the production process for an additional feature to be added to the product in line with the customer's request. The risks posed by the change and the short deadline were analyzed and prioritized. A new model was developed by developing the classical Decision Matrix Risk Assessment (DMRA) method, one of the risk assessment methods to evaluate the ten identified risks. The "severity" component of the classical DMRA method is divided into three sub-components (the severity of delivery time, the severity of cost, and the severity of quality) to be evaluated more specifically. Moreover, since the weights of these sub-components on the risks are different, the components are weighted with the Fuzzy SWARA method. The weights obtained from the Fuzzy SWARA method are used in the Fuzzy MOORA method, and the risks are prioritized. Thus, the effectiveness of the classical risk assessment approach has increased by detailing the "severity" component of the risk assessment components and weighting and prioritizing the components using multi-criteria decision-making (MCDM) techniques.

Keywords

Risk Analysis, Risk Prioritization, Matrix Risk Assessment Method, Fuzzy SWARA, Fuzzy MOORA

References

• [1]Calapoğlu A., Şişeci Çeşmeli M., Pençe İ., Çetinkaya Bozkurt Ö. (2021) Siparişe göre üretim yapan firmalarda sipariş sıralaması ve teslim tarihi problemi için bir karar modeli, Acta Infologica, 5(2), pp 341-357.
• [2]Oehmen, J., Olechowski, A., Kenley, C.R., Ben-Daya, M., (2014) Analysis of the effect of risk management practices on the performance of new product development, Technovation, 34, pp 441-453.
• [3]De Oliveira, U.R., Neto, L.A., Abreu, P.A.F., Fernandes, V.A., (2021) Risk Management applied to the reverse logistics of solid waste, Journal of Cleaner Production, 296, 126517.
• [4]Okudan, O., Budayan, C., Dikmen, I., (2021) A knowledge-based risk management tool for construction projects using case-based reasoning, Expert Systems With Applications, 173, 114776.
• [5]Yılmaz N., Şenol M.B. (2017) İş sağlığı ve güvenliği risk değerlendirme süreci için bulanık çok kriterli bir model ve uygulaması, Journal of the Faculty of Engineering and Architecture of Gazi University, 32(1), pp 77-87.
• [6]Tomak, N., Korkusuz Polat, T., (2022) Risk prioritization model driven by success factor in the light of multi-criteria decision making, Open Chemistry, vol 20, no 1, pp 759-776. https://doi.org/10.1515/chem-2022-0188.
• [7]Becker, R.W., Jachstet, L.A., Dallegrave, A., Ruiz-Padillo, A., Zanello, R., Sirtori, C., (2021) Multi-criteria decision-making techniques associated with (Q) SAR risk assessment for ranking surface water microcontaminants identified using LC-QTOF MS, Science of the Total Environment, 797, 149002.
• [8]Bid, S., Siddique, G., (2019) Humans risk assessment of Panchet Dam in India using TOPSIS and WASPAS multi-criteria decision-making (MCDM) methods, Helion, 5, e01956.
• [9]Jena, R., Pradhan, B., Beydoun, G., (2020), Earthquake vulnerability assessment in Northern Sumatra province by using a multi-criteria decision-making model, International Journal of Disaster Risk Reduction, vol 46, 101518, ISSN 2212-4209, https://doi.org/10.1016/j.ijdrr.2020.101518 .
• [10] Senthill, S., Murugananthan, K., Ramesh, A., (2018) Analysis and prioritisation of risks in reverse logistics network using hybrid multi-criteria decision making methods, Journal of Cleaner Production, 179, pp 716-730.
• [11] Sivageerthi, T., Bathrinath, S., Uthayakumar, M., Bhalaji, R.K.A., (2022) A SWARA method to analyze the risks in coal supply chain management, Materials Today: Proceedings, 50, pp 935-940.
• [12] Tian, D., Chen, J., Wu, X., (2022) A two stage risk assessment model based on interval- valued fuzzy numbers and risk attitudes, Engineering Applications of Artificial Intelligence, 114, 105086.
• [13] Korkusuz Polat, T., (2019) Risk priority with fuzzy Logic: Application of a textile factory, Sakarya University Journal of Science, 23(2), 203-212, DOI: 10.16984/saufenbilder.458807.
• [14] Moreno Cabezali, M.M., Fernandez-Crehuet, J.M., (2020) Application of a fuzzy-logic based model for risk assessment in additive manufacturing R&D projects, Computers & Industrial Engineering, 145, 106529.
• [15] Lin, S-S., Shen, S-L., Zhou, A., Xu, Y-S., (2021) Risk assessment and management of excavation system based on fuzzy set theory and machine learning methods, Automation in Construction, 122, 103490.
• [16] Yazdani, M., Mohammed, A., Bai, C., Labib, A., (2021) A novel hesitant-fuzzy-based group decision approach for outsourcing risk, Expert Systems With Applications, 184, 115517.
• [17] Xu, F., Gao, K., Xiao, B., Liu, J., Wu, Z., (2022) Risk assessment for the integrated energy system using a hesitant fuzzy multi-criteria decision-making framework, Energy Reports, 8, pp 7892-7907.
• [18] Shannazi, R., Alimohammadlou, M., (2022) Investigating risks in renewable energy in oil-producing countries through multi-criteria decision-making methods based on interval type-2 fuzzy sets: A case study of Iran, Renewable Energy, 191, pp 1009-1027.
• [19] Singer, H., Över Özçelik, T., (2022) Bir risk temelli karar verme yaklaşımı ile metalik biyomalzeme değerlendirme, Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 37(2), pp 641-654.
• [20] Gölcük, İ., Durmaz, E.D., Şahin, R., (2023) Bulanık FUCOM ve bulanık çizge teorisi- matris yaklaşımı ile iş güvenliği risklerinin önceliklendirilmesi, Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 38(1), pp 57-69.
• [21] Ali, Y., Awan, M.A., Bilal, M., Khan, J., Petrillo, A., (2019) Risk assessment of China- Pakistan Fiber Optic Project (CPFOP) in the light of multi-criteria decision making (MCDM), Advanced Engineering Informatics, 40, pp 36-45.
• [22] Jokar, E., Aminnejad, B., Lork, A., (2021) Assessing and prioritizing risks in public- private partnership (PPP) projects using the integration of fuzzy multi-criteria decision- making methods, Operations Research Perspective, 8, 100190.
• [23] Severi, C.A., Pérez, Ví., Pascual, C., Muñoz, Raú., Lebrero, R., (2022) Identification of critical operational hazards in a biogas upgrading pilot plant through a multi-criteria decision making and FTOPSIS-HAZOP approach, Chemosphere, DOI: https://doi.org/10.1016/j.chemosphere.2022.135845 .
• [24] Yücenur, G.N., Şenol, K., (2021) Sequential SWARA and fuzzy VIKOR methods in elimination of waste and creation of lean construction processes, Journal of Building Engineering, 44, 103196
• [25] Dehshiri, S.S.H., (2022) New hybrid multi-criteria decision making method for offshore windfarm site location in Persian Gulf, Iran, Ocean Engineering, 256, 111498
• [26] Arabsheybani, A., Khasmeh, A.A., (2021) Robust and resilient supply chain network design considering risks in food industry: flavour industry in Iran, International Journal of Management Science and Engineering Management, 16(3), pp 197-208, DOI: 10.1080/17509653.2021.1907811.
• [27] Arabsheybani, A., Paydar, M.M., Safaei, A.S., (2018) An integrated fuzzy MOORA method and FMEA technique for sustainable supplier selection considering quantity discounts and supplier's risk, Journal of Cleaner Production, 190, pp 577-591.
• [28] Wu, C., Zhou, L., Jin, J., Ning, S., Zhang, Z., Bai, L., (2020) Regional water resource carrying capacity evaluation based on multi-dimensional precondition cloud and risk matrix coupling model, Science of the Total Environment, 710, 136324.
• [29] Wu, K.F., Sasidharan, L., Thor, C.P., Chen, S.Y., (2018) Crash sequence based risk matrix for motorcycle crashes, Accident Analysis and Prevention, 117, pp 21-31.
• [30] Marhavilas, P.K., Koulouriotis, D., Gemeni, V., (2011) Risk analysis and assessment methodologies in the work sites: On a review, classification and comparative study of the scientific literature of the period 2000-2009, Journal of Loss Prevention in the Process Industries, 24, pp 477-523.
• [31] Jusoh, Z., Shattar, N.A., Majid, HAMA, Adenan, N.D., (2016) Determination of hazard in captive hotel laundry using semi quantitative risk assessment matrix, Procedia – Social and Behavioral Sciences, 222, pp 915-922.
• [32] Zadeh, L.A., (1996) Fuzzy Control: Issues, contentions and perspectives, IFAC, 13th Triennial World Congress, San Francisco, USA.