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A Bayesian network model for resilience-based supplier selection

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  1. Hossain, Niamat Ullah Ibne & Jaradat, Raed & Hosseini, Seyedmohsen & Marufuzzaman, Mohammad & Buchanan, Randy K., 2019. "A framework for modeling and assessing system resilience using a Bayesian network: A case study of an interdependent electrical infrastructure system," International Journal of Critical Infrastructure Protection, Elsevier, vol. 25(C), pages 62-83.
  2. Zhao, Nanyang & Hong, Jiangtao & Lau, Kwok Hung, 2023. "Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model," International Journal of Production Economics, Elsevier, vol. 259(C).
  3. Hosseini, Seyedmohsen & Morshedlou, Nazanin & Ivanov, Dmitry & Sarder, M.D. & Barker, Kash & Khaled, Abdullah Al, 2019. "Resilient supplier selection and optimal order allocation under disruption risks," International Journal of Production Economics, Elsevier, vol. 213(C), pages 124-137.
  4. Qazi, Abroon & Dickson, Alex & Quigley, John & Gaudenzi, Barbara, 2018. "Supply chain risk network management: A Bayesian belief network and expected utility based approach for managing supply chain risks," International Journal of Production Economics, Elsevier, vol. 196(C), pages 24-42.
  5. Nadine Kafa & Anicia Jaegler & Joseph Sarkis, 2020. "Harnessing Corporate Sustainability Decision-Making Complexity: A Field Study of Complementary Approaches," Sustainability, MDPI, vol. 12(24), pages 1-23, December.
  6. Lin, Edward M.H. & Sun, Edward W. & Yu, Min-Teh, 2020. "Behavioral data-driven analysis with Bayesian method for risk management of financial services," International Journal of Production Economics, Elsevier, vol. 228(C).
  7. Islam, Samiul & Amin, Saman Hassanzadeh & Wardley, Leslie J., 2021. "Machine learning and optimization models for supplier selection and order allocation planning," International Journal of Production Economics, Elsevier, vol. 242(C).
  8. Nocera, Fabrizio & Contento, Alessandro & Gardoni, Paolo, 2024. "Risk analysis of supply chains: The role of supporting structures and infrastructure," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
  9. Madjid Tavana & Salman Nazari-Shirkouhi & Hamidreza Farzaneh Kholghabad, 2021. "An integrated quality and resilience engineering framework in healthcare with Z-number data envelopment analysis," Health Care Management Science, Springer, vol. 24(4), pages 768-785, December.
  10. Boutselis, Petros & McNaught, Ken, 2019. "Using Bayesian Networks to forecast spares demand from equipment failures in a changing service logistics context," International Journal of Production Economics, Elsevier, vol. 209(C), pages 325-333.
  11. Balezentis, Tomas & Zickiene, Agne & Volkov, Artiom & Streimikiene, Dalia & Morkunas, Mangirdas & Dabkiene, Vida & Ribasauskiene, Erika, 2023. "Measures for the viable agri-food supply chains: A multi-criteria approach," Journal of Business Research, Elsevier, vol. 155(PA).
  12. Yin, Jiateng & Ren, Xianliang & Liu, Ronghui & Tang, Tao & Su, Shuai, 2022. "Quantitative analysis for resilience-based urban rail systems: A hybrid knowledge-based and data-driven approach," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
  13. Niamat Ullah Ibne Hossain & Farjana Nur & Raed Jaradat & Seyedmohsen Hosseini & Mohammad Marufuzzaman & Stephen M. Puryear & Randy K. Buchanan, 2019. "Metrics for Assessing Overall Performance of Inland Waterway Ports: A Bayesian Network Based Approach," Complexity, Hindawi, vol. 2019, pages 1-17, May.
  14. Guo, Yan & Yu, Xinning & Zhou, Caifeng & Lyu, Gaoyan, 2021. "Government subsidies for preventing supply disruption when the supplier has an outside option under competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
  15. Juan Pablo Usuga Cadavid & Samir Lamouri & Bernard Grabot & Robert Pellerin & Arnaud Fortin, 2020. "Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0," Journal of Intelligent Manufacturing, Springer, vol. 31(6), pages 1531-1558, August.
  16. Li, Yuhong & Zobel, Christopher W. & Seref, Onur & Chatfield, Dean, 2020. "Network characteristics and supply chain resilience under conditions of risk propagation," International Journal of Production Economics, Elsevier, vol. 223(C).
  17. Manerba, Daniele & Mansini, Renata & Perboli, Guido, 2018. "The Capacitated Supplier Selection problem with Total Quantity Discount policy and Activation Costs under uncertainty," International Journal of Production Economics, Elsevier, vol. 198(C), pages 119-132.
  18. Xiongyong Zhou & Zhiduan Xu, 2018. "An Integrated Sustainable Supplier Selection Approach Based on Hybrid Information Aggregation," Sustainability, MDPI, vol. 10(7), pages 1-49, July.
  19. Marta Negri & Enrico Cagno & Claudia Colicchia & Joseph Sarkis, 2021. "Integrating sustainability and resilience in the supply chain: A systematic literature review and a research agenda," Business Strategy and the Environment, Wiley Blackwell, vol. 30(7), pages 2858-2886, November.
  20. Fangzhong Qi & Leilei Zhang & Kexiang Zhuo & Xiuyan Ma, 2022. "Early Warning for Manufacturing Supply Chain Resilience Based on Improved Grey Prediction Model," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
  21. Antonio Zavala-Alcívar & María-José Verdecho & Juan-José Alfaro-Saiz, 2020. "A Conceptual Framework to Manage Resilience and Increase Sustainability in the Supply Chain," Sustainability, MDPI, vol. 12(16), pages 1-38, August.
  22. Jiakuan Chen & Haoyu Wen, 2023. "The application of complex network theory for resilience improvement of knowledge-intensive supply chains," Operations Management Research, Springer, vol. 16(3), pages 1140-1161, September.
  23. Michail Tsagris, 2021. "A New Scalable Bayesian Network Learning Algorithm with Applications to Economics," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 341-367, January.
  24. Abhijit Barman & Rubi Das & Pijus Kanti De, 2022. "Logistics and supply chain management of food industry during COVID-19: disruptions and a recovery plan," Environment Systems and Decisions, Springer, vol. 42(3), pages 338-349, September.
  25. HOSSAIN, Niamat Ullah Ibne & Amrani, Safae El & Jaradat, Raed & Marufuzzaman, Mohammad & Buchanan, Randy & Rinaudo, Christina & Hamilton, Michael, 2020. "Modeling and assessing interdependencies between critical infrastructures using Bayesian network: A case study of inland waterway port and surrounding supply chain network," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
  26. Pournader, Mehrdokht & Ghaderi, Hadi & Hassanzadegan, Amir & Fahimnia, Behnam, 2021. "Artificial intelligence applications in supply chain management," International Journal of Production Economics, Elsevier, vol. 241(C).
  27. Hosseini, Seyedmohsen & Ivanov, Dmitry & Dolgui, Alexandre, 2019. "Review of quantitative methods for supply chain resilience analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 285-307.
  28. De Iuliis, Melissa & Kammouh, Omar & Cimellaro, Gian Paolo & Tesfamariam, Solomon, 2021. "Quantifying restoration time of power and telecommunication lifelines after earthquakes using Bayesian belief network model," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
  29. Zhu, Chunli & Wu, Jianping & Liu, Mingyu & Wang, Linyang & Li, Duowei & Kouvelas, Anastasios, 2021. "Recovery preparedness of global air transport influenced by COVID-19 pandemic: Policy intervention analysis," Transport Policy, Elsevier, vol. 106(C), pages 54-63.
  30. Shamsi G., N. & Ali Torabi, S. & Shakouri G., H., 2018. "An option contract for vaccine procurement using the SIR epidemic model," European Journal of Operational Research, Elsevier, vol. 267(3), pages 1122-1140.
  31. Dohale, Vishwas & Gunasekaran, Angappa & Akarte, Milind & Verma, Priyanka, 2021. "An integrated Delphi-MCDM-Bayesian Network framework for production system selection," International Journal of Production Economics, Elsevier, vol. 242(C).
  32. Zhou, Ying & Li, Chenshuang & Zhou, Cheng & Luo, Hanbin, 2018. "Using Bayesian network for safety risk analysis of diaphragm wall deflection based on field data," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 152-167.
  33. Amin Mahmoudi & Saad Ahmed Javed, 2022. "Probabilistic Approach to Multi-Stage Supplier Evaluation: Confidence Level Measurement in Ordinal Priority Approach," Group Decision and Negotiation, Springer, vol. 31(5), pages 1051-1096, October.
  34. Ahmed Mohammed & Irina Harris & Anthony Soroka & Mohamed Naim & Tim Ramjaun & Morteza Yazdani, 2021. "Gresilient supplier assessment and order allocation planning," Annals of Operations Research, Springer, vol. 296(1), pages 335-362, January.
  35. Ni, Ni & Howell, Brendan J. & Sharkey, Thomas C., 2018. "Modeling the impact of unmet demand in supply chain resiliency planning," Omega, Elsevier, vol. 81(C), pages 1-16.
  36. Zhu, Chunli & Wu, Jianping & Liu, Mingyu & Luan, Jianlin & Li, Tingting & Hu, Kezhen, 2020. "Cyber-physical resilience modelling and assessment of urban roadway system interrupted by rainfall," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
  37. Aghajani, Mojtaba & Ali Torabi, S. & Altay, Nezih, 2023. "Resilient relief supply planning using an integrated procurement-warehousing model under supply disruption," Omega, Elsevier, vol. 118(C).
  38. Ahmadi, Somayeh & Saboohi, Yadollah & Vakili, Ali, 2021. "Frameworks, quantitative indicators, characters, and modeling approaches to analysis of energy system resilience: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
  39. Linas Martišauskas & Juozas Augutis & Ričardas Krikštolaitis & Rolandas Urbonas & Inga Šarūnienė & Vytis Kopustinskas, 2022. "A Framework to Assess the Resilience of Energy Systems Based on Quantitative Indicators," Energies, MDPI, vol. 15(11), pages 1-25, May.
  40. Naduni Madhavika & Nipuni Jayasinghe & Sandali Ehalapitiya & Thusara Wickramage & Dinimali Fernando & Vinura Jayasinghe, 2023. "Operationalizing resilience through collaboration: the case of Sri Lankan tea supply chain during Covid-19," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 2981-3018, August.
  41. Roya Ghamari & Mohammad Mahdavi-Mazdeh & Seyed Farid Ghannadpour, 2022. "Resilient and sustainable supplier selection via a new framework: a case study from the steel industry," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(8), pages 10403-10441, August.
  42. Abroon Qazi & Mecit Can Emre Simsekler & Steven Formaneck, 2023. "Supply chain risk network value at risk assessment using Bayesian belief networks and Monte Carlo simulation," Annals of Operations Research, Springer, vol. 322(1), pages 241-272, March.
  43. Dormady, Noah & Roa-Henriquez, Alfredo & Rose, Adam, 2019. "Economic resilience of the firm: A production theory approach," International Journal of Production Economics, Elsevier, vol. 208(C), pages 446-460.
  44. Abdullah Battawi & Ellie Mallon & Anthony Vedral & Eric Sparks & Junfeng Ma & Mohammad Marufuzzaman, 2022. "In-Stream Marine Litter Collection Device Location Determination Using Bayesian Network," Sustainability, MDPI, vol. 14(10), pages 1-17, May.
  45. Alireza Pooya & Morteza Pakdaman, 2019. "Optimal control model for finite capacity continuous MRP with deteriorating items," Journal of Intelligent Manufacturing, Springer, vol. 30(5), pages 2203-2215, June.
  46. Michail Tsagris, 2022. "The FEDHC Bayesian Network Learning Algorithm," Mathematics, MDPI, vol. 10(15), pages 1-28, July.
  47. Dongsheng Xu & Xiangxiang Cui & Huaxiang Xian, 2020. "An Extended EDAS Method with a Single-Valued Complex Neutrosophic Set and Its Application in Green Supplier Selection," Mathematics, MDPI, vol. 8(2), pages 1-14, February.
  48. Alexander Pavlov & Dmitry Ivanov & Frank Werner & Alexandre Dolgui & Boris Sokolov, 2022. "Integrated detection of disruption scenarios, the ripple effect dispersal and recovery paths in supply chains," Annals of Operations Research, Springer, vol. 319(1), pages 609-631, December.
  49. Sonia Irshad Mari & Muhammad Saad Memon & Muhammad Babar Ramzan & Sheheryar Mohsin Qureshi & Muhammad Waqas Iqbal, 2019. "Interactive Fuzzy Multi Criteria Decision Making Approach for Supplier Selection and Order Allocation in a Resilient Supply Chain," Mathematics, MDPI, vol. 7(2), pages 1-16, February.
  50. Seyedmohsen Hosseini & Dmitry Ivanov, 2022. "A new resilience measure for supply networks with the ripple effect considerations: a Bayesian network approach," Annals of Operations Research, Springer, vol. 319(1), pages 581-607, December.
  51. Sunghae Jun, 2019. "Bayesian Structural Time Series and Regression Modeling for Sustainable Technology Management," Sustainability, MDPI, vol. 11(18), pages 1-12, September.
  52. Iman Kazemian & S. Ali Torabi & Christopher W. Zobel & Yuhong Li & Milad Baghersad, 2022. "A multi-attribute supply chain network resilience assessment framework based on SNA-inspired indicators," Operational Research, Springer, vol. 22(3), pages 1853-1883, July.
  53. Patrucco, Andrea S. & Moretto, Antonella & Knight, Louise, 2021. "Does relationship control hinder relationship commitment? The role of supplier performance measurement systems in construction infrastructure projects," International Journal of Production Economics, Elsevier, vol. 233(C).
  54. Mohammed, Ahmed & Lopes de Sousa Jabbour, Ana Beatriz & Koh, Lenny & Hubbard, Nicolas & Chiappetta Jabbour, Charbel Jose & Al Ahmed, Teejan, 2022. "The sourcing decision-making process in the era of digitalization: A new quantitative methodology," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
  55. Hossain, Niamat Ullah Ibne & Nur, Farjana & Hosseini, Seyedmohsen & Jaradat, Raed & Marufuzzaman, Mohammad & Puryear, Stephen M., 2019. "A Bayesian network based approach for modeling and assessing resilience: A case study of a full service deep water port," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 378-396.
  56. André Souza Oliveira & Bruno Caetano dos Santos Silva & Cristiano Vasconcellos Ferreira & Renelson Ribeiro Sampaio & Bruna Aparecida Souza Machado & Rodrigo Santiago Coelho, 2021. "Adding Technology Sustainability Evaluation to Product Development: A Proposed Methodology and an Assessment Model," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
  57. Hu, Shaolong & Dong, Zhijie Sasha, 2019. "Supplier selection and pre-positioning strategy in humanitarian relief," Omega, Elsevier, vol. 83(C), pages 287-298.
  58. Noah C. Dormady & Robert T. Greenbaum & Kim A. Young, 2021. "An experimental investigation of resilience decision making in repeated disasters," Environment Systems and Decisions, Springer, vol. 41(4), pages 556-576, December.
  59. Corinne Curt & Jean‐Marc Tacnet, 2018. "Resilience of Critical Infrastructures: Review and Analysis of Current Approaches," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2441-2458, November.
  60. Kaur, Harpreet & Prakash Singh, Surya, 2021. "Multi-stage hybrid model for supplier selection and order allocation considering disruption risks and disruptive technologies," International Journal of Production Economics, Elsevier, vol. 231(C).
  61. Rukiye Kaya & Said Salhi & Virginia Spiegler, 2023. "A novel integration of MCDM methods and Bayesian networks: the case of incomplete expert knowledge," Annals of Operations Research, Springer, vol. 320(1), pages 205-234, January.
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