[2] Usuda, K., Ueno, T., Ito, Y., Dote, T., Yokoyama, H., Kono, K., & Tamaki, J. (2016). Risk Assessment Study of Fluoride Salts: Probability-Impact Matrix of Renal and Hepatic Toxicity Markers.
Biological Trace Element Research,
173(1), 154-160.
https://doi.org/ 10.1007/s12011-016-0644-0
[3] Imran, M., Kang, C., & Babar Ramzan, M. (2018). Medicine supply chain model for an integrated healthcare system with uncertain product complaints.
Journal of Manufacturing Systems,
46, 13-28.
https://doi.org/10.1016/j.jmsy.2017.10.006
[5] Zaghari, M., Honarbakhsh, S., Charkhkar, S., & Safari-Asl, R. (2016). Determination of parameters for ranking the mortality risk in poultry production farms for poultry insurance.
Journal of Veterinary Research,
71(3), 335-350.
https://doi.org/10.22059 /jvr.2016.58741
[6] Rhouma, M., Lachapelle, V., Comeau, G., Quessy, S., Zanabria, R., Provost, F., Italiano, C., Holley, R., Smillie, J., Brockhoff, E., Bosch, M-L., Collins, S., Dumas, A., Chorfi, Y., Costa, M., Gaucher, M-L., & Racicot, M. (2021). Identification and selection of animal health and food safety-related risk factors to be included in the Canadian Food Inspection Agency's risk assessment model for livestock feed mills.
Food Control,
121, 107642.
https://doi.org/10.1016/j.foodcont.2020.107642
[7] Zhuang, Z., Wang, Q., Huang, S., NiñoSavala, A. G., Wan, Y., Li, H., Schweiger, A. H., Fangmeier, A., & Franzaring, J. (2023). Source-specific risk assessment for cadmium in wheat and maize: Towards an enrichment model for China.
Journal of Environmental Sciences,
125, 723-734.
https://doi.org/10.1016/j.jes.2022.02.024
[9] Mithun Ali, S., Moktadir, M. A., Kabir, G., Chakma, J., Rumi, M. J. U., & Islam, M. T. (2019). Framework for evaluating risks in food supply chain: Implications in food wastage reduction.
Journal of Cleaner Production,
228, 786-800.
https://doi.org/10. 1016/j.jclepro.2019.04.322
[10] Fan, D., Mao, Y., Xu, L., & Wang, W. (2020). Effects of livestock and poultry breeding pollution on health risks: Evidence from a hog breeding case in rural China.
Chinese Journal of Population, Resources and Environment,
18(4), 342-349.
https://doi.org/ 10.1016/j.cjpre.2021.04.008
[11] Rahimi, P., Islam, M. S., Duarte, P. M., Tazerji, S. S., Sobur, M. A., El Zowalaty, M. E., Ashour, H. M., & Rahman, M. T. (2022). Impact of the COVID-19 pandemic on food production and animal health.
Trends in Food Science & Technology,
121, 105-113.
http s://doi.org/10.1016/j.tifs.2021.12.003
[12] Grida, M., Mohamed, R., & Zaied, A. N. H. (2020). Evaluate the impact of COVID-19 prevention policies on supply chain aspects under uncertainty.
Transportation Research Interdisciplinary Perspectives,
8, 100240.
https://doi.org/10.1016/j.trip.2020.100240
[13] El Mokrini, A., Kafa, N., Dafaoui, E., El Mhamedi, A., & Berrado, A. (2016). Evaluating outsourcing risks in the pharmaceutical supply chain: Case of a multi-criteria combined fuzzy AHP-PROMETHEE approach.
International Federation of Automatic Control PapersOnLine,
49(28), 114-119.
https://doi.org/10.1016/j.ifacol.2016.11.020
[14] Hamdan, B., & Diabat, A. (2020). Robust design of blood supply chains under risk of disruptions using Lagrangian relaxation.
Transportation Research Part E: Logistics and Transportation Review,
134, 101764.
https://doi.org/10.1016/j.tre.2019.08.005
[15] Wongnak, P., Wiratsudakul, A., & Nuanualsuwan, S. (2020). A risk assessment of pathogenic Streptococcus suis in pork supply chains and markets in Thailand.
Food Control,
118, 107432.
https://doi.org/10.1016/j.foodcont.2020.107432
[16] Manning, L., Birchmore, I., & Morris, W. (2020). Swans and elephants: A typology to capture the challenges of food supply chain risk assessment.
Trends in Food Science & Technology,
106, 288-297.
https://doi.org/10.1016/j.tifs.2020.10.007
[17] Kumar, A., Mangla, S. K., Kumar, P., & Song, M. (2021). Mitigate risks in perishable food supply chains: Learning from COVID-19.
Technological Forecasting and Social Change,
166(2), 120643.
https://doi.org/10.1016/j.techfore.2021.120643
[18] Jiang, B., Li, J., & Shen, S. (2018). Supply Chain Risk Assessment and Control of Port Enterprises: Qingdao port as case study.
The Asian Journal of Shipping and Logistics,
34(3), 198-208.
https://doi.org/10.1016/j.ajsl.2018.09.003
[19] Wang, X., Chan, H. K., Yee, R. W. Y., & Diaz-Rainey, I. (2012). A two-stage fuzzy-AHP model for risk assessment of implementing green initiatives in the fashion supply chain.
International Journal of Production Economics,
135(2), 595-606.
https://doi. org/10.1016/j.ijpe.2011.03.021
[20] Fearne, A., Hornibrook, S., & Dedman, S. (2001). The management of perceived risk in the food supply chain: a comparative study of retailer-led beef quality assurance schemes in Germany and Italy.
The International Food and Agribusiness Management Review,
4(1), 19-36.
https://doi.org/10.1016/S1096-7508(01)00068-4
[21] Wan, C., Yan, X., Zhang, D., Qu, Z., & Yang, Z. (2019). An advanced fuzzy Bayesian-based FMEA approach for assessing maritime supply chain risks.
Transportation Research Part E: Logistics and Transportation Review,
125, 222-240.
https://doi.or g/10.1016/j.tre.2019.03.011
[22] Soon, J. M., Davies, W. P., Chadd, S. A., & Baines, R. N. (2012). A Delphi-based approach to developing and validating a farm food safety risk assessment tool by experts.
Expert Systems with Applications,
39(9), 8325-8336.
https://doi.org/10.1016/j.eswa.2012.01.189
[23] Rajesh, R., & Ravi, V. (2015). Modeling enablers of supply chain risk mitigation in electronic supply chains: A Grey–DEMATEL approach.
Computers & Industrial Engineering,
87, 126-139.
https://doi.org/10.1016/j.cie.2015.04.028
[27] Osorio Gómez, J. C., & España, K. T. (2020). Operational Risk Management in the Pharmaceutical Supply Chain Using Ontologies and Fuzzy QFD.
Procedia Manufacturing,
51(2003), 1673-1679.
https://doi.org/10.1016/j.promfg.2020.10.233
[28] Flanagan, S. (2015). 4 - Assessment and communication of allergen risks in the food chain. In S. Flanagan (Ed.),
Handbook of Food Allergen Detection and Control. Woodhead Publishing.
https://doi.org/10.1533/9781782420217.1.67
[31] Paul, S., Kabir, G., Ali, S. M., & Zhang, G. (2020). Examining transportation disruption risk in supply chains: A case study from Bangladeshi pharmaceutical industry.
Research in Transportation Business & Management,
37, 100485.
https://doi.org/10.1016/j.rtbm. 2020.100485
[32] Brosas, M. E., Kilantang, M. A., Li, N. B., Ocampo, L., Promentilla, M. A., & Yu, K. D. (2017). Novel approach for manufacturing supply chain risk analysis using fuzzy supply inoperability input-output model.
Manufacturing Letters,
12, 1-5.
https://doi. org/10.1016/j.mfglet.2017.03.001
[33] Omidvari, M., Rafighi, Z., & Omidvari, S. (2021). A Conceptual Model for Identifying and Ranking Environmental Risks in Industrial Parks (A Case Study of Hashtgerd Industrial Estate).
Journal of Health and safety at Work,
10(4), 349-375.
http://jhsw. tums.ac.ir/article-1-6412-en.html
[38] Hsu, C-W., Kuo, T-C., Chen, S-H., & Hu, A. H. (2013). Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management.
Journal of Cleaner Production,
56, 164-172.
https://doi.org/10.1016/j.jclepro.2011.09.012
[43] Qin, Y. (2011, April 15-19).
On Flexible Strategy for Operation Risk in Supply Chain. 2011 Fourth International Joint Conference on Computational Sciences and Optimization, Kunming and Lijiang City, China.
https://doi.org/10.1109/CSO.2011.184
[45] Tang, O., & Nurmaya Musa, S. (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
[46] Mustafa, M. A., & Al-Bahar, J. F. (1991). Project risk assessment using the analytic hierarchy process.
IEEE Transactions on Engineering Management,
38(1), 46-52.
https://doi.org/ 10.1109/17.65759
[47] Karimi, A., & Bozarjomehri, S. (2013). Analyzing the Financing Barriers to Small and Medium Enterprises.
Journal of Entrepreneurship Development,
6(1), 125-144.
https://doi.org/10.2 2059/jed.2013.36253
[49] Micheli, G. J. L., Cagno, E., & Zorzini, M. (2008). Supply risk management vs supplier selection to manage the supply risk in the EPC supply chain.
Management Research News,
31(11), 846-866.
https://doi.org/10.1108/01409170810913042
[51] Ben Hammouda, H., Karingi, S. N., Njuguna, A. E., & Sadni Jallab, M. (2010). Growth, productivity and diversification in Africa.
Journal of Productivity Analysis,
33(2), 125-146.
https://doi.org/10.1007/s11123-009-0155-5
[53] Goh, M., Lim, J. Y. S., & Meng, F. (2007). A stochastic model for risk management in global supply chain networks.
European Journal of Operational Research,
182(1), 164-173.
https://doi.org/10.1016/j.ejor.2006.08.028
[54] Neuenkirch, M., & Neumeier, F. (2015). Always affecting the wrong people? The impact of US sanctions on poverty.
University of Trier Research Papers in Economics(3/15), 1-17.
https://doi.org/10.2139/ssrn.2590259
[55] Ebrahimnejad, S., Mousavi, S. M., & Mojtahedi, S. M. H. (2008, September 21-24).
A model for risk evaluation in construction projects based on fuzzy MADM. 2008 4th IEEE International Conference on Management of Innovation and Technology, Bangkok, Thailand.
https://doi.org/10.1109/ICMIT.2008.4654381
[56] Sofyalıoğlu, Ç., & Kartal, B. (2012). The Selection of Global Supply Chain Risk Management Strategies by Using Fuzzy Analytical Hierarchy Process – A Case from Turkey.
Procedia - Social and Behavioral Sciences,
58, 1448-1457.
https://doi.org/10.1016/j.sbspro.2012.09 .1131
[58] Bengtsson, M., Boter, H., & Vanyushyn, V. (2007). Integrating the Internet and Marketing Operations:A Study of Antecedents in Firms of Different Size.
International Small Business Journal,
25(1), 27-48.
https://doi.org/10.1177/0266242607071780
[61] Majumdar, D., Dutta, C., Mukherjee, A. K., & Sen, S. (2008). Source apportionment of VOCs at the petrol pumps in Kolkata, India; exposure of workers and assessment of associated health risk.
Transportation Research Part D: Transport and Environment,
13(8), 524-530.
https://doi.org/10.1016/j.trd.2008.09.011
[62] Zander, J. E., King, P. M., & Ezenwa, B. N. (2004). Influence of flooring conditions on lower leg volume following prolonged standing.
International Journal of Industrial Ergonomics,
34(4), 279-288.
https://doi.org/10.1016/j.ergon.2004.04.014
[63] Harris, S. K., Herr-Zaya, K., Weinstein, Z., Whelton, K., Perfas, J. F., Castro-Donlan, C., Straus, J., Schoneman, K., Botticelli, M., & Levy, S. (2012). Results of a Statewide Survey of Adolescent Substance Use Screening Rates and Practices in Primary Care.
Substance Abuse,
33(4), 321-326.
https://doi.org/10.1080/08897077.2011.645950
[64] Falaki, S., Akbari, H., Derakhshan, M., Hannani, M., & Motalebi Kashani, M. (2016). Prevalence and postural risk factors associated with musculoskeletal disorders among medical laboratory personnel in Kashan 2012.
Iran Occupational Health Journal,
12(6), 58-68.
http://ioh.iums.ac.ir/article-1-1436-en.html
[65] Nasiry Zarrin Ghabaee, D., Haresabadi, M., Bagheri Nesami, M., & Talebpour Amiri, F. (2016). Work-Related Musculoskeletal Disorders and Their Relationships with the Quality of Life in Nurses.
Journal of Ergonomics,
4(1), 39-46.
https://doi.org/10. 21859/joe-04015
[66] Janwantanakul, P., Pensri, P., Moolkay, P., & Jiamjarasrangsi, W. (2011). Development of a risk score for low back pain in office workers - a cross-sectional study.
Bio Med Central Musculoskeletal Disorders,
12(1), 23.
https://doi.org/10.1186/1471-2474-12-23
[67] Busch-Vishniac, I. J., West, J. E., Barnhill, C., Hunter, T., Orellana, D., & Chivukula, R. (2005). Noise levels in Johns Hopkins Hospital.
The Journal of the Acoustical Society of America,
118(6), 3629-3645.
https://doi.org/10.1121/1.2118327