This document has not been cited yet.

1. Agresti, A. Analysis of Ordinal Categorical Data. 2010 New York: Wiley:
   Paper not yet in RePEc: Add citation now
   
2. Agresti, A. Categorical Data Analysis. 2013 New York: Wiley:
   Paper not yet in RePEc: Add citation now
   
3. Ahmad Dar, A. ; Anuradha, N. Use of orthogonal arrays and design of experiment via Taguchi L9 method in probability of default. 2018 Accounting. 4 113-122
   Paper not yet in RePEc: Add citation now
   

4. Aqlan, F. ; Lam, S.S. A fuzzy-based integrated framework for supply chain risk assessment. 2015 Int. J. Prod. Econ.. 161 54-63

5. Atan, Z. ; Snyder, L.V. Supply chain disruptions: Theory and practice of managing risk. 2012 En : Gurnani, H. ; Mehrotra, A. ; Ray, S. Supply Chain Disruptions. Springer: London
   Paper not yet in RePEc: Add citation now
   
6. Bakshi, N. ; Kleindorfer, P. Coopetition and investment for supply-chain resilience. 2009 Prod. Oper. Manage.. 18 583-603
   Paper not yet in RePEc: Add citation now
   
7. Beamon, B.M. Measuring supply chain performance. 1999 Int. J. Oper. Prod. Manage.. 19 275-292
   Paper not yet in RePEc: Add citation now
   
8. Bednarski, L. ; Roscoe, S. ; Blome, C. ; Schleper, M.C. Geopolitical disruptions in global supply chains: a state-of-the-art literature review. 2023 Prod. Plan. Control. 1-27
   Paper not yet in RePEc: Add citation now
   
9. Behrendt, A. ; Moya-Quiroga Gomez, R. ; Rettig, R. ; Soubien, F. Amid disruption, automotive suppliers must reimagine their footprints. 2022 McKinsey Co.. -
   Paper not yet in RePEc: Add citation now
   
10. Burkacky, O. ; Lingemann, S. ; Ptotky, K. Coping with the auto-semiconductor shortage: Strategies for success. 2021 McKinsey Co. -
    Paper not yet in RePEc: Add citation now
    

11. Can Saglam, Y. ; Yildiz Çankaya, S. ; Golgeci, I. ; Sezen, B. ; Zaim, S. The role of communication quality, relational commitment, and reciprocity in building supply chain resilience: A social exchange theory perspective. 2022 Transp. Res. Logist. Transp. Rev.. 167 -

12. Carvalho, H. ; Barroso, A.P. ; Machado, V.H. ; Azevedo, S. ; Cruz-Machado, V. Supply chain redesign for resilience using simulation. 2012 Comput. Ind. Eng.. 62 329-341
    Paper not yet in RePEc: Add citation now
    
13. Chopra, S. ; Sodhi, M. Reducing the risk of supply chain disruptions. 2014 MIT Sloan Manage. Rev.. 55 72-80
    Paper not yet in RePEc: Add citation now
    
14. Cohen, M.A. Application of analytics to achieve supply chain resilience. 2022 IFAC-PapersOnLine. 55 2852-2856
    Paper not yet in RePEc: Add citation now
    
15. de Sá, M.M. ; Miguel, P.L.d. ; de Brito, R.P. ; Pereira, S.C.F. Supply chain resilience: the whole is not the sum of the parts. 2020 Int. J. Oper. Prod. Manage.. 40 92-115
    Paper not yet in RePEc: Add citation now
    
16. Domínguez, E. ; Pérez, B. ; Rubio, Á.L. ; Zapata, M.A. A taxonomy for key performance indicators management. 2019 Comput. Stand. Interfaces. 64 24-40
    Paper not yet in RePEc: Add citation now
    

17. Faraway, J.J. ; Augustin, N.H. When small data beats big data. 2018 Statist. Probab. Lett.. 136 142-145

18. Gani, M.O. ; Yoshi, T. ; Rahman, M.S. Optimizing firm’s supply chain resilience in data-driven business environment. 2023 J. Global Oper. Strateg. Sourc.. 16 258-281
    Paper not yet in RePEc: Add citation now
    

19. Green, P.E. ; Krieger, A.M. ; Wind, Y. Thirty years of conjoint analysis: Reflections and prospects. 2001 Interfaces. 31 56-73

20. Hassani, H. ; Beneki, C. ; Unger, S. ; Mazinani, M.T. ; Yeganegi, M.R. Text mining in big data analytics. 2020 Big Data Cogn. Comput.. 4 1-34
    Paper not yet in RePEc: Add citation now
    
21. Hedayat, A.S. ; Sloane, N.J.A. ; Stufken, J. Orthogonal arrays: Theory and applications. 1999 :
    Paper not yet in RePEc: Add citation now
    
22. Hendricks, K. ; Singhal, V. The effect of supply chain disruptions on long-term shareholder value, profitability, and share price volatility. 2005 Supply Chain Mag.. -
    Paper not yet in RePEc: Add citation now
    
23. Heyden, Y.V. ; Massart, D.L. ; Universiteit, V. Guidance for robustness / ruggedness tests in method validation. 2001 J. Pharm Biomed Anal. 24 723-753
    Paper not yet in RePEc: Add citation now
    
24. Hohenstein, N.O. ; Feisel, E. ; Hartmann, E. ; Giunipero, L. Research on the phenomenon of supply chain resilience: A systematic review and paths for further investigation. 2015 Int. J. Phys. Distrib. Logist. Manage.. 45 90-117
    Paper not yet in RePEc: Add citation now
    

25. Hosseini, S. ; Ivanov, D. ; Dolgui, A. Review of quantitative methods for supply chain resilience analysis. 2019 Transp. Res. Logist. Transp. Rev.. 125 285-307

26. Institute, M.G., 2020. Risk, Resilience, and Rebalancing in Global Value Chains. Tech. rep.
    Paper not yet in RePEc: Add citation now
    
27. Jüttner, U. ; Maklan, S. Supply chain resilience in the global financial crisis: An empirical study. 2011 Supply Chain Manag.. 16 246-259
    Paper not yet in RePEc: Add citation now
    

28. Kähkönen, A.-K. ; Evangelista, P. ; Hallikas, J. ; Immonen, M. ; Lintukangas, K. COVID-19 as a trigger for dynamic capability development and supply chain resilience improvement. 2023 Int. J. Prod. Res.. 61 -

29. Kaplan, R.S. ; Norton, D.P. The balanced scorecard: Measures that drive performance. 1992 Harv. Bus. Rev.. 83 -
    Paper not yet in RePEc: Add citation now
    
30. Karl, A.A. ; Micheluzzi, J. ; Leite, L.R. ; Pereira, C.R. Supply chain resilience and key performance indicators: A systematic literature review. 2018 Production. 28 -
    Paper not yet in RePEc: Add citation now
    
31. Kim, Y. ; Chen, Y.S. ; Linderman, K. Supply network disruption and resilience: A network structural perspective. 2015 J. Oper. Manage.. 33–34 43-59
    Paper not yet in RePEc: Add citation now
    
32. Laczkowski, K. ; Okeke-Agba, A. ; Voelker, A. ; Weddle, B. Full speed ahead: The automotive sector’s resilience improvement. 2023 McKinsey Co.. -
    Paper not yet in RePEc: Add citation now
    

33. Lam, J.S.L. ; Bai, X. A quality function deployment approach to improve maritime supply chain resilience. 2016 Transp. Res. Logist. Transp. Rev.. 92 16-27

34. Letrache, K. ; Beggar, O. ; Ramdani, M. Modeling and creating KPIs in MDA approach. 2016 Proc 4th IEEE Int. Colloqium Inform Sci. Technol.. 222-227
    Paper not yet in RePEc: Add citation now
    

35. Li, D. ; Zhi, B. ; Schoenherr, T. ; Wang, X. Developing capabilities for supply chain resilience in a post-COVID world: A machine learning-based thematic analysis. 2023 IISE Trans.. 55 1256-1276

36. Li, G. ; Xue, J. ; Li, N. ; Ivanov, D. Blockchain-supported business model design, supply chain resilience, and firm performance. 2022 Transp. Res. Logist. Transp. Rev.. 163 1-18

37. Li, Y. ; Wang, X. ; Gong, T. ; Wang, H. Breaking out of the pandemic: How can firms match internal competence with external resources to shape operational resilience?. 2023 J. Oper. Manage.. 69 384-403
    Paper not yet in RePEc: Add citation now
    
38. Madani, F. ; Parast, M.M. An integrated approach to organizational resilience: a quality perspective. 2021 :
    Paper not yet in RePEc: Add citation now
    
39. Mann, S. The Research Interview. 2016 New York: MacMillan:
    Paper not yet in RePEc: Add citation now
    
40. McCullagh, P. Regression model for ordinal data (with discussion). 1980 J. R. Stat. Soc.. 42 109-127
    Paper not yet in RePEc: Add citation now
    
41. Nair, A. ; Vidal, J.M. Supply network topology and robustness against disruptions - an investigation using multi-agent model. 2011 Int. J. Prod. Res.. 49 1391-1404
    Paper not yet in RePEc: Add citation now
    
42. Pereira, C.R. ; Christopher, M. ; Lago Da Silva, A. Achieving supply chain resilience: the role of procurement. 2014 Supply Chain Manag.. 19 626-642
    Paper not yet in RePEc: Add citation now
    
43. Pettit, T.J. ; Fiksel, J. ; Croxton, K.L. Ensuring supply chain resilience: Development and implementation of an assessment tool. 2013 J. Bus. Logist.. -
    Paper not yet in RePEc: Add citation now
    
44. Pettit, T.J. ; Fiksel, J. ; Croxton, K.L. Ensuring supply chain resilience: Development of a conceptual framework. 2010 J. Bus. Logist.. 31 1-21
    Paper not yet in RePEc: Add citation now
    

45. Pujawan, I.N. Assessing supply chain flexibility: a conceptual framework and case study. 2004 Int. J. Integr. Supply Manag.. 1 79-97

46. Qu, S.Q. ; Dumay, J. The qualitative research interview. 2011 Qual. Res. Account. Manag.. 8 238-264

47. Raj Kumar Reddy, K. ; Gunasekaran, A. ; Kalpana, P. ; Raja Sreedharan, V. ; Arvind Kumar, S. Developing a blockchain framework for the automotive supply chain: A systematic review. 2021 Comput. Ind. Eng.. 157 -

48. Ramani, V. ; Ghosh, D. ; Sodhi, M.S. Understanding systemic disruption from the Covid-19-induced semiconductor shortage for the auto industry. 2022 Omega. 113 -

49. Rejikumar, G. ; Raja Sreedharan, V. ; Arunprasad, P. ; Persis, J. ; Sreeraj, K. Industry 4.0: key findings and analysis from the literature arena. 2019 Benchmarking Int. J.. 26 2514-2542
    Paper not yet in RePEc: Add citation now
    
50. Saaty, T. Decision making - the analytic hierarchy and network process. 2004 J. Syst. Sci. Syst. Eng.. 13 1-35
    Paper not yet in RePEc: Add citation now
    
51. Samad, T.A. ; Qamar, Y. Building resilience against ongoing and future pandemics: Blockchain technology to the rescue. 2023 Foster. Sustain Dev Age Technol.. 319-330
    Paper not yet in RePEc: Add citation now
    
52. Schmitt, A.J. ; Singh, M. A quantitative analysis of disruption risk in a multi-echelon supply chain. 2012 Int. J. Prod. Econ.. 139 22-32
    Paper not yet in RePEc: Add citation now
    
53. Shen, Z.M. ; Sun, Y. Strengthening supply chain resilience during COVID-19: A case study of JD.com. 2023 J. Oper. Manage.. 69 359-383
    Paper not yet in RePEc: Add citation now
    
54. Shishodia, A. ; Sharma, R. ; Rajesh, R. ; Munim, Z.H. Supply chain resilience: A review, conceptual framework and future research. 2023 Int. J. Logist. Manage.. 34 879-908
    Paper not yet in RePEc: Add citation now
    
55. Simchi-Levi, D. ; Schmidt, W. ; Wei, Y. From superstorms to factory fires managing unpredictable supply disruptions time to recovery and the risk exposure index. 2014 Harv. Bus. Rev.. -
    Paper not yet in RePEc: Add citation now
    

56. Simchi-levi, D. ; Schmidt, W. ; Wei, Y. ; Zhang, P.Y. ; Combs, K. ; Ge, Y. ; Sanders, M. ; Zhang, D. Identifying risks and mitigating disruptions in the automotive supply chain. 2015 Interfaces. 45 375-390

57. Simchi-Levi, D. ; Zhu, F. ; Loy, M. Fixing the semiconductor supply chain. 2022 Harv. Bus. Rev.. -
    Paper not yet in RePEc: Add citation now
    
58. Singh, C.S. ; Soni, G. ; Badhotiya, G.K. Performance indicators for supply chain resilience: review and conceptual framework. 2019 J. Ind. Eng. Int.. 15 105-117
    Paper not yet in RePEc: Add citation now
    
59. Sokri, A. Military supply chain flexibility measures. 2014 J. Modelling Manag.. 9 78-86
    Paper not yet in RePEc: Add citation now
    

60. Suryawanshi, P. ; Dutta, P. Optimization models for supply chains under risk, uncertainty, and resilience: A state-of-the-art review and future research directions. 2022 Transp. Res. Logist. Transp. Rev.. 157 -

61. Taguchi, G. . 1986 En : Introduction to Quality Engineering: Designing Quality into Products and Processes. Asian Productivity Organization: Tokyo, Japan
    Paper not yet in RePEc: Add citation now
    
62. Tomar, A. ; Pimplapure, A. ; Bavankumar, S. ; Prathyusha, M. ; Kumar Sahu, A. ; Kumar Jain, S. An empirical investigation of the impact of data-driven decision-making on supply chain resilience in the automotive industry. 2023 J. Propuls Technol.. 44 -
    Paper not yet in RePEc: Add citation now
    

63. Tran, T.H. ; Dobrovnik, M. ; Kummer, S. Supply chain risk assessment: A content analysis-based literature review. 2018 Int. J. Logist. Syst. Manag.. 31 562-591

64. Tutz, G. Ordinal regression: A review and a taxonomy of models. 2022 Wiley Interdiscip. Rev. Comput. Stat.. 14 1-28
    Paper not yet in RePEc: Add citation now
    
65. Vieira, A.A. ; Dias, L.M. ; Santos, M.Y. ; Pereira, G.A. ; Oliveira, J.A. Simulation of an automotive supply chain using big data. 2019 Comput. Ind. Eng.. 137 -
    Paper not yet in RePEc: Add citation now
    
66. Warren, J. Key performance indicators (KPI) - definition and action integrating KPIs into your company’s strategy. 2011 AT Internet - Online Intell. Solut. -
    Paper not yet in RePEc: Add citation now
    
67. Wayland, M. Chip shortage expected to cost auto industry $110 billion in revenue in 2021. 2021 CNBC. -
    Paper not yet in RePEc: Add citation now
    
68. Wieland, A. ; Durach, C.F. Two perspectives on supply chain resilience. 2021 J. Bus. Logist.. 42 315-322
    Paper not yet in RePEc: Add citation now
    

69. Zhang, Y. ; Snyder, L.V. ; Ralphs, T.K. ; Xue, Z. The competitive facility location problem under disruption risks. 2016 Transp. Res. Logist. Transp. Rev.. 93 453-473

1. Identification, establishment of connection, and clustering of social risks involved in the agri-food supply chains: a cross-country comparative study. (2024). Liu, Shaofeng ; Zhang, Jinhua ; Lu, Haiyan ; Zhao, Guoqing ; Lopez, Carmen ; Wang, YI.
   In: Annals of Operations Research.
   RePEc:spr:annopr:v:338:y:2024:i:2:d:10.1007_s10479-024-06040-2.

   Full description at Econpapers || Download paper

2. Measuring supply chain resilience along the automotive value chain — A comparative research on literature and industry. (2024). Spinler, Stefan ; Raaymann, Sophia.
   In: Transportation Research Part E: Logistics and Transportation Review.
   RePEc:eee:transe:v:192:y:2024:i:c:s1366554524003831.

   Full description at Econpapers || Download paper

3. A model for agribusiness supply chain risk management using fuzzy logic. Case study: Grain route from Ukraine to Poland. (2024). Montewka, Jakub ; Medvediev, Ievgen ; Muzylyov, Dmitriy.
   In: Transportation Research Part E: Logistics and Transportation Review.
   RePEc:eee:transe:v:190:y:2024:i:c:s1366554524002825.

   Full description at Econpapers || Download paper

4. Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications. (2023). Schoenherr, Tobias ; Singh, Shalabh ; Choudhary, Nishat Alam ; Ramkumar, M.
   In: Annals of Operations Research.
   RePEc:spr:annopr:v:322:y:2023:i:2:d:10.1007_s10479-022-04700-9.

   Full description at Econpapers || Download paper

5. Supply chain risk network value at risk assessment using Bayesian belief networks and Monte Carlo simulation. (2023). Formaneck, Steven ; Emre, Mecit Can ; Qazi, Abroon.
   In: Annals of Operations Research.
   RePEc:spr:annopr:v:322:y:2023:i:1:d:10.1007_s10479-022-04598-3.

   Full description at Econpapers || Download paper

6. Setting the Grounds for the Transition from Business Analytics to Artificial Intelligence in Solving Supply Chain Risk. (2022). Gaidelys, Vaidas ; Vaitkien, Rimgail ; Igien, Gerda ; Rybakovas, Egidijus.
   In: Sustainability.
   RePEc:gam:jsusta:v:14:y:2022:i:19:p:11827-:d:919751.

   Full description at Econpapers || Download paper

7. Applying Integrated QFD-MCDM Approach to Strengthen Supply Chain Agility for Mitigating Sustainable Risks. (2022). Liu, Wan-Ling ; Yu, Ru-Yue ; Hsu, Chih-Hung ; Chang, An-Yuan ; Sun, An-Ching.
   In: Mathematics.
   RePEc:gam:jmathe:v:10:y:2022:i:4:p:552-:d:746723.

   Full description at Econpapers || Download paper

8. Tactical Risk Assessment Method for Resilient Fuel Supply Chains for a Military Peacekeeping Operation. (2021). Ryczyski, Jacek ; Tubis, Agnieszka A.
   In: Energies.
   RePEc:gam:jeners:v:14:y:2021:i:15:p:4679-:d:606708.

   Full description at Econpapers || Download paper

9. The effects of supply chain diversification during the COVID-19 crisis: Evidence from Chinese manufacturers. (2021). Lin, Yongjia ; Shi, Xuanyi ; Fu, Maggie ; Fan, DI.
   In: Transportation Research Part E: Logistics and Transportation Review.
   RePEc:eee:transe:v:155:y:2021:i:c:s1366554521002556.

   Full description at Econpapers || Download paper

10. Exploring the relations between supply chain performance and organizational culture: A fuzzy grey group decision model. (2021). Gerolamo, Mateus Cecilio ; Ribeiro, Luiz Cesar ; Zanon, Lucas Gabriel ; Marcelloni, Francesco.
    In: International Journal of Production Economics.
    RePEc:eee:proeco:v:233:y:2021:i:c:s0925527320303728.

    Full description at Econpapers || Download paper

11. A fuzzy rule-based industry 4.0 maturity model for operations and supply chain management. (2021). Gusmo, Rodrigo Goyannes ; Ivson, Paulo ; Gavio, Luiz Octavio ; Scavarda, Luiz Felipe ; Garza-Reyes, Jose Arturo ; de Mattos, Daniel Luiz.
    In: International Journal of Production Economics.
    RePEc:eee:proeco:v:231:y:2021:i:c:s0925527320302401.

    Full description at Econpapers || Download paper

12. Analysing the risks of adopting circular economy initiatives in manufacturing supply chains. (2021). , Vimal ; Arasu, Thanigai ; Nadeem, Simon Peter ; Ethirajan, Manavalan ; Kandasamy, Jayakrishna ; Kumar, Anil.
    In: Business Strategy and the Environment.
    RePEc:bla:bstrat:v:30:y:2021:i:1:p:204-236.

    Full description at Econpapers || Download paper

13. Risk Assessment of New Energy Vehicle Supply Chain Based on Variable Weight Theory and Cloud Model: A Case Study in China. (2020). Li, Wei ; Yan, Qingyou ; Zhang, Meijuan ; Qin, Guangyu.
    In: Sustainability.
    RePEc:gam:jsusta:v:12:y:2020:i:8:p:3150-:d:345305.

    Full description at Econpapers || Download paper

14. Challenges in Applying Artificial Intelligence for Supply Chain Risk Management. (2020). Vaitkiene, Rimgaile ; Zigiene, Gerda ; Rybakovas, Egidijus.
    In: International Journal of Economics & Business Administration (IJEBA).
    RePEc:ers:ijebaa:v:viii:y:2020:i:4:p:299-318.

    Full description at Econpapers || Download paper

15. Portfolio optimisation of material purchase considering supply risk – A multi-objective programming model. (2020). Li, jianping ; Sun, Xiaolei ; Hao, Jun ; Wu, Dengsheng.
    In: International Journal of Production Economics.
    RePEc:eee:proeco:v:230:y:2020:i:c:s092552732030178x.

    Full description at Econpapers || Download paper

16. A risk-based optimization framework for integrated supply chains using genetic algorithm and artificial neural networks. (2020). Nezamoddini, Nasim ; Aqlan, Faisal ; Gholami, Amirhosein.
    In: International Journal of Production Economics.
    RePEc:eee:proeco:v:225:y:2020:i:c:s0925527319304128.

    Full description at Econpapers || Download paper

17. A decision making model based on fuzzy inference to predict the impact of SCOR® indicators on customer perceived value. (2020). Munhoz, Rafael Ferro ; Ribeiro, Luiz Cesar ; Zanon, Lucas Gabriel ; del Rosso, Lucas Daniel.
    In: International Journal of Production Economics.
    RePEc:eee:proeco:v:223:y:2020:i:c:s0925527319303329.

    Full description at Econpapers || Download paper

18. A Neutrosophic AHP and TOPSIS Framework for Supply Chain Risk Assessment in Automotive Industry of Pakistan. (2019). Xue, YE ; Syed, Muzzammil Wasim ; Ullah, Muhammad Zia ; Junaid, Muhammad ; Zu, JI.
    In: Sustainability.
    RePEc:gam:jsusta:v:12:y:2019:i:1:p:154-:d:301368.

    Full description at Econpapers || Download paper

19. Optimal budget allocation for risk mitigation strategy in trucking industry: An integrated approach. (2019). Sarmah, S P ; Jena, Sarat Kumar ; Naikan, V. N. A., ; Dadsena, Krishna Kumar.
    In: Transportation Research Part A: Policy and Practice.
    RePEc:eee:transa:v:121:y:2019:i:c:p:37-55.

    Full description at Econpapers || Download paper

20. Develop Eco-Friendly Enterprise: Aligning Enablers with Strategy. (2017). Mi, Chuanmin ; Chang, Yu-Hsuan ; Lin, Ching-Torng.
    In: Sustainability.
    RePEc:gam:jsusta:v:9:y:2017:i:4:p:570-:d:95322.

    Full description at Econpapers || Download paper

21. Interrelationships of risks faced by third party logistics service providers: A DEMATEL based approach. (2016). Govindan, Kannan ; Chaudhuri, Atanu.
    In: Transportation Research Part E: Logistics and Transportation Review.
    RePEc:eee:transe:v:90:y:2016:i:c:p:177-195.

    Full description at Econpapers || Download paper

22. An orders-of-magnitude AHP supply chain risk assessment framework. (2016). Dong, Qingxing ; Cooper, Orrin.
    In: International Journal of Production Economics.
    RePEc:eee:proeco:v:182:y:2016:i:c:p:144-156.

    Full description at Econpapers || Download paper

23. A maturity model for enterprise risk management. (2016). Oliva, Fabio Lotti.
    In: International Journal of Production Economics.
    RePEc:eee:proeco:v:173:y:2016:i:c:p:66-79.

    Full description at Econpapers || Download paper

Report date: 2025-10-04 11:21:05 || Missing content? Let us know