Delivery
|
Risk of failure in the delivery process (Risk of transportation failure) |
(Acar et al., 2016Acar, A. Z., Önden, İ., & Gürel, Ö. (2016). Evaluation of the parameters of the green supplier selection decision in textile industry. Fibres & Textiles in Eastern Europe, 24(5), 8-14. http://doi.org/10.5604/12303666.1215520. http://doi.org/10.5604/12303666.1215520...
; Akcan & Güldeş, 2019Akcan, S., & Güldeş, M. (2019). Integrated multicriteria decision-making methods to solve supplier selection problem: A case study in a hospital. Journal of Healthcare Engineering, 2019, 5614892. http://doi.org/10.1155/2019/5614892. PMid:31687120. http://doi.org/10.1155/2019/5614892...
; Alizadeh & Yousefi, 2019Alizadeh, A., & Yousefi, S. (2019). An integrated Taguchi loss function–fuzzy cognitive map–MCGP with utility function approach for supplier selection problem. Neural Computing & Applications, 31(11), 7595-7614. http://doi.org/10.1007/s00521-018-3591-1. http://doi.org/10.1007/s00521-018-3591-1...
; Alkahtani et al., 2019Alkahtani, M., Al-Ahmari, A., Kaid, H., & Sonboa, M. (2019). Comparison and evaluation of multi-criteria supplier selection approaches: a case study. Advances in Mechanical Engineering, 11(2), 1-19. http://doi.org/10.1177/1687814018822926. http://doi.org/10.1177/1687814018822926...
; Pham et al., 2023Pham, H. T., Quang, H. T., Sampaio, P., Carvalho, M., Tran, D. L. A., Vo, V. X., & Duong, B. A. T. (2023). The impact of global risks on supply chain performance. An empirical study on construction sector in the COVID-19 pandemic. International Journal of Quality & Reliability Management, 40(4), 1009-1035. http://doi.org/10.1108/IJQRM-03-2022-0084. http://doi.org/10.1108/IJQRM-03-2022-008...
; Zakeri et al., 2023Zakeri, S., Konstantas, D., Bratvold, R. B., & Pamucar, D. (2023). A supplier selection model using the triangular fuzzy-grey numbers. IEEE Access : Practical Innovations, Open Solutions, 11, 107511-107532. http://doi.org/10.1109/ACCESS.2023.3320032. http://doi.org/10.1109/ACCESS.2023.33200...
) |
Service
|
Risk of inefficient service |
(Acar et al., 2016Acar, A. Z., Önden, İ., & Gürel, Ö. (2016). Evaluation of the parameters of the green supplier selection decision in textile industry. Fibres & Textiles in Eastern Europe, 24(5), 8-14. http://doi.org/10.5604/12303666.1215520. http://doi.org/10.5604/12303666.1215520...
; Alizadeh & Yousefi, 2019Alizadeh, A., & Yousefi, S. (2019). An integrated Taguchi loss function–fuzzy cognitive map–MCGP with utility function approach for supplier selection problem. Neural Computing & Applications, 31(11), 7595-7614. http://doi.org/10.1007/s00521-018-3591-1. http://doi.org/10.1007/s00521-018-3591-1...
; Hou & Xie, 2019Hou, Q., & Xie, L. (2019). Research on supplier evaluation in a green supply chain. Discrete Dynamics in Nature and Society, 2019, 1-14. http://doi.org/10.1155/2019/2601301. http://doi.org/10.1155/2019/2601301...
; Lee et al., 2016Lee, C. S., Chung, C. C., Lee, H. S., Gan, G. Y., & Chou, M. T. (2016). An interval-valued fuzzy number approach for supplier selection. Journal of Marine Science and Technology, 24(3), 2. http://doi.org/10.6119/JMST-015-0521-8. http://doi.org/10.6119/JMST-015-0521-8...
; Imran et al., 2020Imran, M., Agha, M. H., Ahmed, W., Sarkar, B., & Ramzan, M. B. (2020). Simultaneous customers and supplier’s prioritization: an AHP-based fuzzy inference decision support system (AHP-FIDSS). International Journal of Fuzzy Systems, 22(8), 2625-2651. http://doi.org/10.1007/s40815-020-00977-9. http://doi.org/10.1007/s40815-020-00977-...
; Karami et al., 2021Karami, S., Ghasemy Yaghin, R., & Mousazadegan, F. (2021). Supplier selection and evaluation in the garment supply chain: an integrated DEA–PCA–VIKOR approach. Journal of the Textile Institute, 112(4), 578-595. http://doi.org/10.1080/00405000.2020.1768771. http://doi.org/10.1080/00405000.2020.176...
; Kawa & Koczkodaj, 2015Kawa, A., & Koczkodaj, W. W. (2015). Supplier evaluation process by pairwise comparisons. Mathematical Problems in Engineering, 2015, 1-9. http://doi.org/10.1155/2015/976742. http://doi.org/10.1155/2015/976742...
; Er Kara & Oktay Fırat, 2018Er Kara, M., & Oktay Fırat, S. Ü. (2018). Supplier risk assessment based on best-worst method and K-means clustering: a case study. Sustainability (Basel), 10(4), 1066. http://doi.org/10.3390/su10041066. http://doi.org/10.3390/su10041066...
; Li & Wang, 2018Li, L., & Wang, H. (2018). A green supplier assessment method for manufacturing enterprises based on rough ANP and evidence theory. Information (Basel), 9(7), 162. http://doi.org/10.3390/info9070162. http://doi.org/10.3390/info9070162...
). |
Logistics
|
Risk of suppliers offering inefficient logistics |
(Akcan & Güldeş, 2019Akcan, S., & Güldeş, M. (2019). Integrated multicriteria decision-making methods to solve supplier selection problem: A case study in a hospital. Journal of Healthcare Engineering, 2019, 5614892. http://doi.org/10.1155/2019/5614892. PMid:31687120. http://doi.org/10.1155/2019/5614892...
; Chatterjee et al., 2018Chatterjee, K., Pamucar, D., & Zavadskas, E. K. (2018). Evaluating the performance of suppliers based on using the R’AMATEL-MAIRCA method for green supply chain implementation in electronics industry. Journal of Cleaner Production, 184, 101-129. http://doi.org/10.1016/j.jclepro.2018.02.186. http://doi.org/10.1016/j.jclepro.2018.02...
; Chung, 2015Chung, K. C. (2015). Applying analytical hierarchy process to supplier selection and evaluation in the hospitality industry: a multiobjective approach. Acta Oeconomica, 65(s2), 309-323. http://doi.org/10.1556/032.65.2015.s2.23. http://doi.org/10.1556/032.65.2015.s2.23...
; Pamucar et al., 2020Pamucar, D., Yazdani, M., Obradovic, R., Kumar, A., & Torres‐Jiménez, M. (2020). A novel fuzzy hybrid neutrosophic decision‐making approach for the resilient supplier selection problem. International Journal of Intelligent Systems, 35(12), 1934-1986. http://doi.org/10.1002/int.22279. http://doi.org/10.1002/int.22279...
; Pérez-Velázquez et al., 2020Pérez-Velázquez, A., Oro-Carralero, L. L., & Moya-Rodríguez, J. L. (2020). Supplier selection for photovoltaic module installation utilizing fuzzy inference and the VIKOR method: A green approach. Sustainability (Basel), 12(6), 2242. http://doi.org/10.3390/su12062242. http://doi.org/10.3390/su12062242...
; Restrepo & Villegas, 2019Restrepo, R., & Villegas, J. G. (2019). Supplier evaluation and classification in a Colombian motorcycle assembly company using data envelopment analysis. Academia (Caracas), 32(2), 159-180. http://doi.org/10.1108/ARLA-04-2017-0107. http://doi.org/10.1108/ARLA-04-2017-0107...
; Tavana et al., 2017Tavana, M., Yazdani, M., & Di Caprio, D. (2017). An application of an integrated ANP–QFD framework for sustainable supplier selection. International Journal of Logistics, 20(3), 254-275. http://doi.org/10.1080/13675567.2016.1219702. http://doi.org/10.1080/13675567.2016.121...
; Wang et al., 2017Wang, K. Q., Liu, H. C., Liu, L., & Huang, J. (2017). Green supplier evaluation and selection using cloud model theory and the QUALIFLEX method. Sustainability (Basel), 9(5), 688. http://doi.org/10.3390/su9050688. http://doi.org/10.3390/su9050688...
; Zarbakhshnia & Jaghdani, 2018Zarbakhshnia, N., & Jaghdani, T. J. (2018). Sustainable supplier evaluation and selection with a novel two-stage DEA model in the presence of uncontrollable inputs and undesirable outputs: a plastic case study. International Journal of Advanced Manufacturing Technology, 97(5-8), 2933-2945. http://doi.org/10.1007/s00170-018-2138-z. http://doi.org/10.1007/s00170-018-2138-z...
). |
Reliability
|
Risk in assuming that the reliability of suppliers is adequate |
(Fallahpour et al., 2016Fallahpour, A., Olugu, E. U., Musa, S. N., Khezrimotlagh, D., & Wong, K. Y. (2016). An integrated model for green supplier selection under fuzzy environment: application of data envelopment analysis and genetic programming approach. Neural Computing & Applications, 27(3), 707-725. http://doi.org/10.1007/s00521-015-1890-3. http://doi.org/10.1007/s00521-015-1890-3...
; Mahmoudifard et al., 2018Mahmoudifard, S. M., Shabanpour, R., Golshani, N., Mohammadian, K., & Mohammadian, A. (2018). Supplier Evaluation Model in Freight Activity Microsimulation Estimator. Transportation Research Record: Journal of the Transportation Research Board, 2672(9), 70-80. http://doi.org/10.1177/0361198118777084. http://doi.org/10.1177/0361198118777084...
; Mohammed, 2020Mohammed, A. (2020). Towards a sustainable assessment of suppliers: an integrated fuzzy TOPSIS-possibilistic multi-objective approach. Annals of Operations Research, 293(2), 639-668. http://doi.org/10.1007/s10479-019-03167-5. http://doi.org/10.1007/s10479-019-03167-...
; Mohammed et al., 2021Mohammed, A., Harris, I., Soroka, A., Naim, M., Ramjaun, T., & Yazdani, M. (2021). Gresilient supplier assessment and order allocation planning. Annals of Operations Research, 296(1-2), 335-362. http://doi.org/10.1007/s10479-020-03611-x. http://doi.org/10.1007/s10479-020-03611-...
; Okwu & Tartibu, 2020Okwu, M. O., & Tartibu, L. K. (2020). Sustainable supplier selection in the retail industry: A TOPSIS-and ANFIS-based evaluating methodology.International journal of engineering business management,12, 1847979019899542.; Pham et al., 2023Pham, H. T., Quang, H. T., Sampaio, P., Carvalho, M., Tran, D. L. A., Vo, V. X., & Duong, B. A. T. (2023). The impact of global risks on supply chain performance. An empirical study on construction sector in the COVID-19 pandemic. International Journal of Quality & Reliability Management, 40(4), 1009-1035. http://doi.org/10.1108/IJQRM-03-2022-0084. http://doi.org/10.1108/IJQRM-03-2022-008...
). |
Geographical position
|
Risk that the location or geographical position poses to the execution of transportation and delivery procedures |
(Alizadeh & Yousefi, 2019Alizadeh, A., & Yousefi, S. (2019). An integrated Taguchi loss function–fuzzy cognitive map–MCGP with utility function approach for supplier selection problem. Neural Computing & Applications, 31(11), 7595-7614. http://doi.org/10.1007/s00521-018-3591-1. http://doi.org/10.1007/s00521-018-3591-1...
; Dotoli et al., 2016Dotoli, M., Epicoco, N., Falagario, M., & Sciancalepore, F. (2016). A stochastic cross‐efficiency data envelopment analysis approach for supplier selection under uncertainty. International Transactions in Operational Research, 23(4), 725-748. http://doi.org/10.1111/itor.12155. http://doi.org/10.1111/itor.12155...
; Ganguly et al., 2019Ganguly, A., Kumar, C., & Chatterjee, D. (2019). A decision-making model for supplier selection in Indian pharmaceutical organizations. Journal of Health Management, 21(3), 351-371. http://doi.org/10.1177/0972063419868552. http://doi.org/10.1177/0972063419868552...
; Kant & Dalvi, 2017Kant, R., & Dalvi, M. V. (2017). Development of questionnaire to assess the supplier evaluation criteria and supplier selection benefits. Benchmarking, 24(2), 359-383. http://doi.org/10.1108/BIJ-12-2015-0124. http://doi.org/10.1108/BIJ-12-2015-0124...
; Karami et al., 2021Karami, S., Ghasemy Yaghin, R., & Mousazadegan, F. (2021). Supplier selection and evaluation in the garment supply chain: an integrated DEA–PCA–VIKOR approach. Journal of the Textile Institute, 112(4), 578-595. http://doi.org/10.1080/00405000.2020.1768771. http://doi.org/10.1080/00405000.2020.176...
; Song et al., 2024Song, S., Tappia, E., Song, G., Shi, X., & Cheng, T. C. E. (2024). Fostering supply chain resilience for omni-channel retailers: A two-phase approach for supplier selection and demand allocation under disruption risks. Expert Systems with Applications, 239, 122368. http://doi.org/10.1016/j.eswa.2023.122368. http://doi.org/10.1016/j.eswa.2023.12236...
). |
Financial stability
|
Risk that the financial condition of suppliers poses to the full execution of orders |
(Alizadeh & Yousefi, 2019Alizadeh, A., & Yousefi, S. (2019). An integrated Taguchi loss function–fuzzy cognitive map–MCGP with utility function approach for supplier selection problem. Neural Computing & Applications, 31(11), 7595-7614. http://doi.org/10.1007/s00521-018-3591-1. http://doi.org/10.1007/s00521-018-3591-1...
; Ashtarinezhad et al., 2018Ashtarinezhad, E., Sarfaraz, A. H., & Navabakhsh, M. (2018). Supplier evaluation and categorize with combine Fuzzy Dematel and Fuzzy Inference System. Data in Brief, 18, 1149-1156. http://doi.org/10.1016/j.dib.2018.03.077. PMid:29900289. http://doi.org/10.1016/j.dib.2018.03.077...
; Bouhnik et al., 2017Bouhnik, D., Giat, Y., & Zarruk, I. (2017). Supplier selection and assessment by university procurement officers. International Journal of Information Systems and Supply Chain Management, 10(1), 1-15. http://doi.org/10.4018/IJISSCM.2017010101. http://doi.org/10.4018/IJISSCM.201701010...
; Diouf & Kwak, 2018Diouf, M., & Kwak, C. (2018). Fuzzy AHP, DEA, and Managerial analysis for supplier selection and development; from the perspective of open innovation. Sustainability (Basel), 10(10), 3779. http://doi.org/10.3390/su10103779. http://doi.org/10.3390/su10103779...
, Duong et al., 2023Duong, A. T. B., Vo, V. X., Carvalho, M. D. S., Sampaio, P., & Truong, H. Q. (2023). Risks and supply chain performance: globalization and COVID-19 perspectives. International Journal of Productivity and Performance Management, 72(7), 1962-1986. http://doi.org/10.1108/IJPPM-03-2021-0179. http://doi.org/10.1108/IJPPM-03-2021-017...
). |
Ethics
|
Risk in assuming that suppliers have ethical and moral values in line with the company's values |
(Amindoust, 2018Amindoust, A. (2018). Supplier selection considering sustainability measures: an application of weight restriction fuzzy-DEA approach. Operations Research, 52(3), 981-1001. http://doi.org/10.1051/ro/2017033. http://doi.org/10.1051/ro/2017033...
; Faisal et al., 2017Faisal, M. N., Al-Esmael, B., & Sharif, K. J. (2017). Supplier selection for a sustainable supply chain: triple bottom line (3BL) and analytic network process approach. Benchmarking, 24(7), 1956-1976. http://doi.org/10.1108/BIJ-03-2016-0042. http://doi.org/10.1108/BIJ-03-2016-0042...
; Ganguly et al., 2019Ganguly, A., Kumar, C., & Chatterjee, D. (2019). A decision-making model for supplier selection in Indian pharmaceutical organizations. Journal of Health Management, 21(3), 351-371. http://doi.org/10.1177/0972063419868552. http://doi.org/10.1177/0972063419868552...
; Kant & Dalvi, 2017Kant, R., & Dalvi, M. V. (2017). Development of questionnaire to assess the supplier evaluation criteria and supplier selection benefits. Benchmarking, 24(2), 359-383. http://doi.org/10.1108/BIJ-12-2015-0124. http://doi.org/10.1108/BIJ-12-2015-0124...
; Khan et al., 2018Khan, S. A., Kusi-Sarpong, S., Arhin, F. K., & Kusi-Sarpong, H. (2018). Supplier sustainability performance evaluation and selection: A framework and methodology. Journal of Cleaner Production, 205, 964-979. http://doi.org/10.1016/j.jclepro.2018.09.144. http://doi.org/10.1016/j.jclepro.2018.09...
; Pamucar & Ecer, 2020Pamucar, D., & Ecer, F. (2020). Prioritizing the weights of the evaluation criteria under fuzziness: The fuzzy full consistency method–FUCOM-F.Facta Universitatis, Series. Mechanical Engineering (New York, N.Y.), 18(3), 419-437.). |
Health and safety regulations
|
The risk of doing business with companies that neglect occupational health and safety standards |
(Cheaitou et al., 2019Cheaitou, A., Larbi, R., & Al Housani, B. (2019). Decision making framework for tender evaluation and contractor selection in public organizations with risk considerations. Socio-Economic Planning Sciences, 68, 100620. http://doi.org/10.1016/j.seps.2018.02.007. http://doi.org/10.1016/j.seps.2018.02.00...
; Nikfarjam et al., 2018Nikfarjam, H., Rostamy-Malkhalifeh, M., & Noura, A. (2018). A new robust dynamic data envelopment analysis approach for sustainable supplier evaluation. Advances in Operations Research, 2018, 1-20. http://doi.org/10.1155/2018/7625025. http://doi.org/10.1155/2018/7625025...
; Phochanikorn & Tan, 2019Phochanikorn, P., & Tan, C. (2019). A new extension to a multi-criteria decision-making model for sustainable supplier selection under an intuitionistic fuzzy environment. Sustainability (Basel), 11(19), 5413. http://doi.org/10.3390/su11195413. http://doi.org/10.3390/su11195413...
; Uçal Sarı et al., 2017Uçal Sarı, İ., Çayır Ervural, B., & Bozat, S. (2017). Analyzing criteria used in supplier evaluation by DEMATEL method in sustainable supply chain management and an application to health sector. Pamukkale University Journal of Engineering Sciences, 23(4), 477-485. http://doi.org/10.5505/pajes.2017.14892. http://doi.org/10.5505/pajes.2017.14892...
). |
Inefficient communication and coordination
|
The risk of hiring companies that do not have or do not practice transparent communication between those involved in the process |
(Cheaitou et al., 2019Cheaitou, A., Larbi, R., & Al Housani, B. (2019). Decision making framework for tender evaluation and contractor selection in public organizations with risk considerations. Socio-Economic Planning Sciences, 68, 100620. http://doi.org/10.1016/j.seps.2018.02.007. http://doi.org/10.1016/j.seps.2018.02.00...
; Kant & Dalvi, 2017Kant, R., & Dalvi, M. V. (2017). Development of questionnaire to assess the supplier evaluation criteria and supplier selection benefits. Benchmarking, 24(2), 359-383. http://doi.org/10.1108/BIJ-12-2015-0124. http://doi.org/10.1108/BIJ-12-2015-0124...
; Sureeyatanapas et al., 2020Sureeyatanapas, P., Waleekhajornlert, N., Arunyanart, S., & Niyamosoth, T. (2020). Resilient supplier selection in electronic components procurement: An integration of evidence theory and rule-based transformation into TOPSIS to tackle uncertain and incomplete information. Symmetry, 12(7), 1109. http://doi.org/10.3390/sym12071109. http://doi.org/10.3390/sym12071109...
) |
Poorly trained staff
|
The risk of doing business with companies that don't have staff training practices |
(Cheaitou et al., 2019Cheaitou, A., Larbi, R., & Al Housani, B. (2019). Decision making framework for tender evaluation and contractor selection in public organizations with risk considerations. Socio-Economic Planning Sciences, 68, 100620. http://doi.org/10.1016/j.seps.2018.02.007. http://doi.org/10.1016/j.seps.2018.02.00...
; Chung, 2015Chung, K. C. (2015). Applying analytical hierarchy process to supplier selection and evaluation in the hospitality industry: a multiobjective approach. Acta Oeconomica, 65(s2), 309-323. http://doi.org/10.1556/032.65.2015.s2.23. http://doi.org/10.1556/032.65.2015.s2.23...
) |
Honesty of suppliers
|
Risk of assuming that the company will honor its commitments |
(Kant & Dalvi, 2017Kant, R., & Dalvi, M. V. (2017). Development of questionnaire to assess the supplier evaluation criteria and supplier selection benefits. Benchmarking, 24(2), 359-383. http://doi.org/10.1108/BIJ-12-2015-0124. http://doi.org/10.1108/BIJ-12-2015-0124...
; Su & Gargeya, 2016Su, J., & Gargeya, V. B. (2016). Supplier selection in small-and medium-sized firms: The case of the US textile and apparel industry. American Journal of Business, 31(4), 166-186. http://doi.org/10.1108/AJB-12-2015-0037. http://doi.org/10.1108/AJB-12-2015-0037...
) |
Political stability
|
Risk in assuming that the company's internal policy works properly and meets objectives |
(Kant & Dalvi, 2017Kant, R., & Dalvi, M. V. (2017). Development of questionnaire to assess the supplier evaluation criteria and supplier selection benefits. Benchmarking, 24(2), 359-383. http://doi.org/10.1108/BIJ-12-2015-0124. http://doi.org/10.1108/BIJ-12-2015-0124...
; Er Kara & Oktay Fırat, 2018Er Kara, M., & Oktay Fırat, S. Ü. (2018). Supplier risk assessment based on best-worst method and K-means clustering: a case study. Sustainability (Basel), 10(4), 1066. http://doi.org/10.3390/su10041066. http://doi.org/10.3390/su10041066...
) |
Operational risk
|
Risk in assuming that operational activities are carried out efficiently and effectively |
(Er Kara & Oktay Fırat, 2018Er Kara, M., & Oktay Fırat, S. Ü. (2018). Supplier risk assessment based on best-worst method and K-means clustering: a case study. Sustainability (Basel), 10(4), 1066. http://doi.org/10.3390/su10041066. http://doi.org/10.3390/su10041066...
; Sureeyatanapas et al., 2020Sureeyatanapas, P., Waleekhajornlert, N., Arunyanart, S., & Niyamosoth, T. (2020). Resilient supplier selection in electronic components procurement: An integration of evidence theory and rule-based transformation into TOPSIS to tackle uncertain and incomplete information. Symmetry, 12(7), 1109. http://doi.org/10.3390/sym12071109. http://doi.org/10.3390/sym12071109...
) |
Manufacturing capacity risk
|
Risk in assuming that the company is working within its production capacity and that the order placed will be delivered as agreed |
(Er Kara & Oktay Fırat, 2018Er Kara, M., & Oktay Fırat, S. Ü. (2018). Supplier risk assessment based on best-worst method and K-means clustering: a case study. Sustainability (Basel), 10(4), 1066. http://doi.org/10.3390/su10041066. http://doi.org/10.3390/su10041066...
) |
Risk of contractual commitment
|
Risk in assuming that the company will honor all the terms of the contract |
(Er Kara & Oktay Fırat, 2018Er Kara, M., & Oktay Fırat, S. Ü. (2018). Supplier risk assessment based on best-worst method and K-means clustering: a case study. Sustainability (Basel), 10(4), 1066. http://doi.org/10.3390/su10041066. http://doi.org/10.3390/su10041066...
) |
Catastrophic risks
|
The risk of hiring companies that don't have disaster contingency plans. |
(Er Kara & Oktay Fırat, 2018Er Kara, M., & Oktay Fırat, S. Ü. (2018). Supplier risk assessment based on best-worst method and K-means clustering: a case study. Sustainability (Basel), 10(4), 1066. http://doi.org/10.3390/su10041066. http://doi.org/10.3390/su10041066...
) |
Supplier country risk
|
Risk to which the company is subject when contracting foreign suppliers, including factors such as the company's financial situation, legal measures, etc. |
(Segura & Maroto, 2017Segura, M., & Maroto, C. (2017). A multiple criteria supplier segmentation using outranking and value function methods. Expert Systems with Applications, 69, 87-100. http://doi.org/10.1016/j.eswa.2016.10.031. http://doi.org/10.1016/j.eswa.2016.10.03...
) |