Two-stage hybrid model for supplier selection and order allocation considering cyber risk

References

• Allianz. 2022. Allianz risk barometer 2022 – Business interruption. [accessed Nov 14]. https://www.agcs.allianz.com/news-and-insights/expert-risk-articles/allianz-risk-barometer-2022-business-interruption.html.
   Google Scholar
• Amindoust A, Ahmed S, Saghafinia A, Bahreininejad A. 2012. Sustainable supplier selection: a ranking model based on fuzzy inference system. Appl Soft Comput. 12(6):1668–1677. doi: 10.1016/j.asoc.2012.01.023.
   Web of Science ®Google Scholar
• Analytica O. 2021. Kaseya ransomware attack underlines supply chain risks. [accessed Nov 14]. https://dailybrief.oxan.com/Analysis/ES262642/Kaseya-ransomware-attack-underlines-supply-chain-risks.
   Google Scholar
• Andres B, Poler R, Sanchis R. 2021. A data model for collaborative manufacturing environments. Comput Indus. 126:103398. doi: 10.1016/j.compind.2021.103398.
   Web of Science ®Google Scholar
• Andres B, Sanchis R, Poler R. 2016. A cloud platform to support collaboration in supply networks. Int J Prod Manage Eng. 4(1):5–13. doi: 10.4995/ijpme.2016.4418.
   Web of Science ®Google Scholar
• Asamoah D, Nuertey D, Agyei-Owusu B, Acquah IN. 2022. Antecedents and outcomes of supply chain security practices: the role of organizational security culture and supply chain disruption occurrence. IJQRM. 39(4):1059–1082. doi: 10.1108/IJQRM-01-2021-0002.
   Google Scholar
• Azadnia AH, Saman MZM, Wong KY. 2015. Sustainable supplier selection and order lot-sizing: an integrated multi-objective decision-making process. Int J Prod Res. 53(2):383–408. doi: 10.1080/00207543.2014.935827.
   Web of Science ®Google Scholar
• Baihaqi I, Sohal AS. 2013. The impact of information sharing in supply chains on organisational performance: an empirical study. Prod Plan Control. 24(8-9):743–758. doi: 10.1080/09537287.2012.666865.
   Web of Science ®Google Scholar
• Barratt M. 2004. Understanding the meaning of collaboration in the supply chain. Supply Chain Manage Int J. 9(1):30–42. doi: 10.1108/13598540410517566.
   Web of Science ®Google Scholar
• Bendas D, Saari L, Coutinho C, de Juan Marín R, Bernabé Gisbert J, Lopes L. 2017. Distributed software development of a cloud solution for collaborative manufacturing networks. 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC). doi: 10.1109/ICE.2017.8279959.
   Google Scholar
• Bhutta KS, Huq F. 2002. Supplier selection problem: a comparison of the total cost of ownership and analytic hierarchy process approaches. Supply Chain Manage Int J. 7(3):126–135. doi: 10.1108/13598540210436586.
   Google Scholar
• Blackhurst J, Das A, Ivanov D. 2021. Supply chain resilience and its interplay with digital technologies: making innovations work in emergency situations. Int J Phys Distrib Logistics Manage. 51(2):55.
   Google Scholar
• Boone A. 2017. Cyber-security must be a C-suite priority. Comput Fraud Secur. 2017(2):13–15. doi: 10.1016/S1361-3723(17)30015-5.
   Google Scholar
• Chan FTS, Kumar N, Tiwari MK, Lau HCW, Choy KL. 2008. Global supplier selection: a fuzzy-AHP approach. Int J Prod Res. 46(14):3825–3857. doi: 10.1080/00207540600787200.
   Web of Science ®Google Scholar
• Chen C-T, Lin C-T, Huang S-F. 2006. A fuzzy approach for supplier evaluation and selection in supply chain management. Int J Prod Econ. 102(2):289–301. doi: 10.1016/j.ijpe.2005.03.009.
   Web of Science ®Google Scholar
• Chen K, Xiao T. 2009. Demand disruption and coordination of the supply chain with a dominant retailer. Eur J Operat Res. 197(1):225–234. doi: 10.1016/j.ejor.2008.06.006.
   Web of Science ®Google Scholar
• Christopher M, Peck H. 2004. Building the resilient supply chain. Int J Logistics Manage. 15(2):1–14. doi: 10.1108/09574090410700275.
   Google Scholar
• Esposito De Falco S, Renzi A, Orlando B, Cucari N. 2017. Open collaborative innovation and digital platforms. Prod Plan Control. 28(16):1344–1353. doi: 10.1080/09537287.2017.1375143.
   Web of Science ®Google Scholar
• Fatorachian H, Kazemi H. 2021. Impact of Industry 4.0 on supply chain performance. Prod Plan Control. 32(1):63–81. doi: 10.1080/09537287.2020.1712487.
   Web of Science ®Google Scholar
• Firmansyah MR, Amer Y. 2013. A review of collaborative manufacturing network models. IJMMM. 1(1):6–12. doi: 10.7763/IJMMM.2013.V1.2.
   Google Scholar
• Frank A, Dalenogare L, Ayala N. 2019. Industry 4.0 technologies: implementation patterns in manufacturing companies. Int J Prod Econ. 210:15–26. doi: 10.1016/j.ijpe.2019.01.004.
   Web of Science ®Google Scholar
• Garvey MD, Carnovale S, Yeniyurt S. 2015. An analytical framework for supply network risk propagation: a Bayesian network approach. Eur J Operat Res. 243(2):618–627. doi: 10.1016/j.ejor.2014.10.034.
   Web of Science ®Google Scholar
• Ghadge A, Weiß M, Caldwell ND, Wilding R. 2019. Managing cyber risk in supply chains: a review and research agenda. SCM. 25(2):223–240. doi: 10.1108/SCM-10-2018-0357.
   Google Scholar
• Ha B, Park Y, Cho S. 2011. Suppliers’ affective trust and trust in competency in buyers: its effect on collaboration and logistics efficiency. Int J Operat Prod Manage. 31(1):56–77. doi: 10.1108/01443571111098744.
   Web of Science ®Google Scholar
• Heide JB, Miner AS. 1992. The shadow of the future: effects of anticipated interaction and frequency of contact on buyer-seller cooperation. Acad Manage J. 35(2):265–291. doi: 10.2307/256374.
   Web of Science ®Google Scholar
• Hishamuddin H, Sarker RA, Essam D. 2013. A recovery model for a two-echelon serial supply chain with consideration of transportation disruption. Comput Ind Eng. 64(2):552–561. doi: 10.1016/j.cie.2012.11.012.
   Web of Science ®Google Scholar
• Hishamuddin H, Sarker RA, Essam D. 2014. A recovery mechanism for a two echelon supply chain system under supply disruption. Econ Model. 38:555–563. doi: 10.1016/j.econmod.2014.02.004.
   Web of Science ®Google Scholar
• Hwang C-L, Yoon K. 1981. Methods for multiple attribute decision making. In Multiple attribute decision making. New York: Springer, p. 58–191.
   Google Scholar
• Ivanov D, Dolgui A. 2021. A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Prod Plan Control. 32(9):775–788. doi: 10.1080/09537287.2020.1768450.
   Web of Science ®Google Scholar
• Ivanov D, Sokolov B. 2012. Structure dynamics control approach to supply chain planning and adaptation. Int J Prod Res. 50(21):6133–6149. doi: 10.1080/00207543.2012.693641.
   Web of Science ®Google Scholar
• Ivarsson I, Alvstam CG. 2010. Supplier upgrading in the home-furnishing value chain: an empirical study of IKEA’s sourcing in China and South East Asia. World Dev. 38(11):1575–1587. doi: 10.1016/j.worlddev.2010.04.007.
   Web of Science ®Google Scholar
• Jin M, David Wu S. 2007. Capacity reservation contracts for high-tech industry. Eur J Operat Res. 176(3):1659–1677. doi: 10.1016/j.ejor.2005.11.008.
   Web of Science ®Google Scholar
• Kache F, Seuring S. 2014. Linking collaboration and integration to risk and performance in supply chains via a review of literature reviews. Supply Chain Manage Int J. 19(5/6):664–682. doi: 10.1108/SCM-12-2013-0478.
   Web of Science ®Google Scholar
• Kamal MM, Irani Z. 2014. Analysing supply chain integration through a systematic literature review: a normative perspective. Supply Chain Manage Int J. 19(5/6):523–557.
   Web of Science ®Google Scholar
• Kannan D, Mina H, Nosrati-Abarghooee S, Khosrojerdi G. 2020. Sustainable circular supplier selection: a novel hybrid approach. Sci Total Environ. 722:137936. doi: 10.1016/j.scitotenv.2020.137936.
   PubMed Web of Science ®Google Scholar
• Kaur H, Prakash Singh S. 2021. Multi-stage hybrid model for supplier selection and order allocation considering disruption risks and disruptive technologies. Int J Prod Econ. 231:107830. doi: 10.1016/j.ijpe.2020.107830.
   Web of Science ®Google Scholar
• Kuik SS, Verl Nagalingam S, Amer Y. 2011. Sustainable supply chain for collaborative manufacturing. J Manuf Technol Manage. 22(8):984–1001. doi: 10.1108/17410381111177449.
   Google Scholar
• Kumar A, Agrawal VP. 2009. Attribute based specification, comparison and selection of electroplating system using MADM approach. Expert Syst Appl. 36(8):10815–10827. doi: 10.1016/j.eswa.2008.06.141.
   Web of Science ®Google Scholar
• Leng J, Jiang P. 2018. Evaluation across and within collaborative manufacturing networks: a comparison of manufacturers’ interactions and attributes. Int J Prod Res. 56(15):5131–5146. doi: 10.1080/00207543.2018.1430903.
   Web of Science ®Google Scholar
• Li Y, Chen K, Collignon S, Ivanov D. 2021. Ripple effect in the supply chain network: forward and backward disruption propagation, network health and firm vulnerability. Eur J Oper Res. 291(3):1117–1131. doi: 10.1016/j.ejor.2020.09.053.
   Web of Science ®Google Scholar
• Lin HW, Nagalingam SV, Kuik SS, Murata T. 2012. Design of a global decision support system for a manufacturing SME: towards participating in collaborative manufacturing. Int J Prod Econ. 136(1):1–12. doi: 10.1016/j.ijpe.2011.07.001.
   Web of Science ®Google Scholar
• Lu T-P, Yih Y. 2001. An agent-based production control framework for multiple-line collaborative manufacturing. Int J Prod Res. 39(10):2155–2176. doi: 10.1080/00207540110038478.
   Web of Science ®Google Scholar
• McKinsey. 2020. Risk, resilience, and rebalancing in global value chains. [accessed Nov 14]. https://www.mckinsey.com/capabilities/operations/our-insights/risk-resilience-and-rebalancing-in-global-value-chains.
   Google Scholar
• Meena PL, Sarmah SP. 2013. Multiple sourcing under supplier failure risk and quantity discount: a genetic algorithm approach. Transport Res E Logistics Transport Review. 50:84–97. doi: 10.1016/j.tre.2012.10.001.
   Web of Science ®Google Scholar
• Müller JM, Veile JW, Voigt K-I. 2020. Prerequisites and incentives for digital information sharing in Industry 4.0 – an international comparison across data types. Comput Ind Eng. 148:106733. doi: 10.1016/j.cie.2020.106733.
   Web of Science ®Google Scholar
• Parmar D, Wu T, Callarman T, Fowler J, Wolfe P. 2010. A clustering algorithm for supplier base management. Int J Prod Res. 48(13):3803–3821. doi: 10.1080/00207540902942891.
   Web of Science ®Google Scholar
• Paul SK, Sarker R, Essam D. 2014. Managing real-time demand fluctuation under a supplier–retailer coordinated system. Int J Prod Econ. 158:231–243. doi: 10.1016/j.ijpe.2014.08.007.
   Web of Science ®Google Scholar
• Pérez-Morón J. 2022. Eleven years of cyberattacks on Chinese supply chains in an era of cyber warfare, a review and future research agenda. JABS. 16(2):371–395. doi: 10.1108/JABS-11-2020-0444.
   Google Scholar
• Pitney AM, Penrod S, Foraker M, Bhunia S. 2022. A systematic review of 2021 Microsoft exchange data breach exploiting multiple vulnerabilities. 2022 7th International Conference on Smart and Sustainable Technologies (SpliTech); July 2022. p. 5–8.
   Google Scholar
• PwC. 2022. PwC’s 2022 global risk survey: embracing risk in the face of disruption. [accessed Nov 14]. https://www.pwc.com/sk/en/current-press-releases/global-risk-survey.html.
   Google Scholar
• Rajesh R, Ravi V. 2015. Supplier selection in resilient supply chains: a grey relational analysis approach. J Clean Prod. 86:343–359. doi: 10.1016/j.jclepro.2014.08.054.
   Web of Science ®Google Scholar
• Raweewan M, Ferrell WG Jr. 2018. Information sharing in supply chain collaboration. Comput Ind Eng. 126:269–281. doi: 10.1016/j.cie.2018.09.042.
   Web of Science ®Google Scholar
• Saaty TL. 2001. Decision making for leaders: the analytic hierarchy process for decisions in a complex world. Pittsburgh: RWS Publications.
   Google Scholar
• Samvedi A, Jain V, Chan FTS. 2013. Quantifying risks in a supply chain through integration of fuzzy AHP and fuzzy TOPSIS. Int J Prod Res. 51(8):2433–2442. doi: 10.1080/00207543.2012.741330.
   Web of Science ®Google Scholar
• Sanders NR, Autry CW, Gligor DM. 2011. The impact of buyer firm information connectivity enablers on supplier firm performance: a relational view. Int J Logistics Manage. 22(2):179–201. doi: 10.1108/09574091111156541.
   Web of Science ®Google Scholar
• Sawik T. 2013. Selection of resilient supply portfolio under disruption risks. Omega. 41(2):259–269. doi: 10.1016/j.omega.2012.05.003.
   Web of Science ®Google Scholar
• Sawik T. 2014. Optimization of cost and service level in the presence of supply chain disruption risks: single vs. multiple sourcing. Comput Oper Res. 51:11–20. doi: 10.1016/j.cor.2014.04.006.
   Web of Science ®Google Scholar
• Sawik T. 2022. A linear model for optimal cybersecurity investment in Industry 4.0 supply chains. Int J Prod Res. 60(4):1368–1385. doi: 10.1080/00207543.2020.1856442.
   Web of Science ®Google Scholar
• Shi H, Ni Y. 2021. Multiple strategies for supply chain to recover from major disruptions. IFS. 40(5):9669–9686. (Preprint):doi: 10.3233/JIFS-202176.
   Google Scholar
• Shin H, Collier DA, Wilson DD. 2000. Supply management orientation and supplier/buyer performance. J Oper Manage. 18(3):317–333. doi: 10.1016/S0272-6963(99)00031-5.
   Web of Science ®Google Scholar
• Smith GE, Watson KJ, Baker WH, Pokorski Ii JA. 2007. A critical balance: collaboration and security in the IT-enabled supply chain. Int J Prod Res. 45(11):2595–2613. doi: 10.1080/00207540601020544.
   Web of Science ®Google Scholar
• Spieske A, Birkel H. 2021. Improving supply chain resilience through industry 4.0: a systematic literature review under the impressions of the COVID-19 pandemic. Comput Ind Eng. 158:107452. doi: 10.1016/j.cie.2021.107452.
   PubMed Web of Science ®Google Scholar
• Sun C-C. 2010. A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods. Expert Syst Appl. 37(12):7745–7754. doi: 10.1016/j.eswa.2010.04.066.
   Web of Science ®Google Scholar
• Tokar T, Aloysius JA, Waller MA, Williams BD. 2011. Retail promotions and information sharing in the supply chain: a controlled experiment. Int J Logistics Manage. 22(1):5–25. doi: 10.1108/09574091111127534.
   Web of Science ®Google Scholar
• Torabi SA, Baghersad M, Mansouri SA. 2015. Resilient supplier selection and order allocation under operational and disruption risks. Transport Res E logistics Transport Rev. 79:22–48. doi: 10.1016/j.tre.2015.03.005.
   Web of Science ®Google Scholar
• Urciuoli L, Männistö T, Hintsa J, Khan T. 2013. Supply chain cyber security–potential threats. ISIJ. 29(1):51–68. doi: 10.11610/isij.2904.
   Google Scholar