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Articles

Causal effect analysis of logistics processes risks in manufacturing industries using sequential multi-stage fuzzy cognitive map: a case study

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Pages 1055-1075 | Received 07 Aug 2019, Accepted 08 Mar 2020, Published online: 10 Apr 2020

References

  • Abbasgholizadeh Rahimi, S., A. Jamshidi, D. Ait‐Kadi, and A. Ruiz. 2015. “Using Fuzzy Cost‐based FMEA, GRA and Profitability Theory for Minimizing Failures at a Healthcare Diagnosis Service.” Quality and Reliability Engineering International 31 (4): 601–615. doi:10.1002/qre.1619.
  • Arvanitoyannis, I. S., and T. H. Varzakas. 2008. “Application of ISO 22000 and Failure Mode and Effect Analysis (FMEA) for Industrial Processing of Salmon: A Case Study.” Critical Reviews in Food Science and Nutrition 48 (5): 411–429. doi:10.1080/10408390701424410.
  • Asher, H. 1983. Causal Modeling. Beverly Hills, CA: Sage Ed.
  • Baghery, M., S. Yousefi, and M. J. Rezaee. 2018. “Risk Measurement and Prioritization of Auto Parts Manufacturing Processes Based on Process Failure Analysis, Interval Data Envelopment Analysis and Grey Relational Analysis.” Journal of Intelligent Manufacturing 29 (8): 1803–1825. doi:10.1007/s10845-016-1214-1.
  • Bakhtavar, E., R. Aghayarloo, S. Yousefi, K. Hewage, and R. Sadiq. 2019. “Renewable Energy Based Mine Reclamation Strategy: A Hybrid Fuzzy-based Network Analysis.” Journal of Cleaner Production 230: 253–263. doi:10.1016/j.jclepro.2019.05.073.
  • Bakhtavar, E., and S. Yousefi. 2018. “Assessment of Workplace Accident Risks in Underground Collieries by Integrating a Multi-goal Cause-and-effect Analysis Method with MCDM Sensitivity Analysis.” Stochastic Environmental Research and Risk Assessment 32 (12): 3317–3332. doi:10.1007/s00477-018-1618-x.
  • Bakhtavar, E., and S. Yousefi. 2019. “Analysis of Ground Vibration Risk on Mine Infrastructures: Integrating Fuzzy Slack-based Measure Model and Failure Effects Analysis.” International Journal of Environmental Science and Technology 16 (10): 6065–6076. doi:10.1007/s13762-018-2008-0.
  • Behraftar, S., S. M. F. Hossaini, and E. Bakhtavar. 2017. “MRPN Technique for Assessment of Working Risks in Underground Coal Mines.” Journal of the Geological Society of India 90 (2): 196–200. doi:10.1007/s12594-017-0699-3.
  • Çelebi, D., D. Bayraktar, and L. Bingöl. 2010. “Analytical Network Process for Logistics Management: A Case Study in A Small Electronic Appliances Manufacturer.” Computers & Industrial Engineering 58 (3): 432–441. doi:10.1016/j.cie.2009.09.002.
  • Chanamool, N., and T. Naenna. 2016. “Fuzzy FMEA Application to Improve Decision-making Process in an Emergency Department.” Applied Soft Computing 43: 441–453. doi:10.1016/j.asoc.2016.01.007.
  • Chin, K. S., Y. M. Wang, G. K. K. Poon, and J. B. Yang. 2009. “Failure Mode and Effects Analysis by Data Envelopment Analysis.” Decision Support Systems 48 (1): 246–256. doi:10.1016/j.dss.2009.08.005.
  • Dabbagh, R., and S. Yousefi. 2019. “A Hybrid Decision-making Approach Based on FCM and MOORA for Occupational Health and Safety Risk Analysis.” Journal of Safety Research 71: 111–123. doi:10.1016/j.jsr.2019.09.021.
  • Dickerson, J. A., and B. Kosko. 1994. “Virtual Worlds as Fuzzy Cognitive Maps.” Presence: Teleoperators & Virtual Environments 3 (2): 173–189. doi:10.1109/VRAIS.1993.380742.
  • Ekmekçioğlu, M., and A. Can Kutlu. 2012. “A Fuzzy Hybrid Approach for Fuzzy Process FMEA: An Application to A Spindle Manufacturing Process.” International Journal of Computational Intelligence Systems 5 (4): 611–626. doi:10.1080/18756891.2012.718104.
  • Enright, J., H. Lewis, and A. Ryan. 2013. “FMEA as Applied to Electronic Manufacturing: A Revised Approach to Develop A More Robust and Optimized Solution.” In Advances in Sustainable and Competitive Manufacturing Systems, edited by A. Azevedo, 197–206. Heidelberg: Springer.
  • Fausett, L. 1994. Fundamentals of Neural Networks: Architectures, Algorithms, and Applications. Englewood Cliffs: Prentice-Hall.
  • Gan, Z., G. Yu, S. Li, X. He, R. Chen, C. Zheng, and W. Ning. 2016. “A Novel Intelligent Adaptive Control of Laser-based Ground Thermal Test.” Chinese Journal of Aeronautics 29 (4): 1018–1026. doi:10.1016/j.cja.2016.06.015.
  • Georgopoulos, V. C., and C. D. Stylios. 2015. “Supervisory Fuzzy Cognitive Map Structure for Triage Assessment and Decision Support in the Emergency Department.” In Simulation and Modeling Methodologies, Technologies and Applications, edited by M. S. Obaidat, S. Koziel, J. Kacprzyk, L. Leifsson, T. Ören, 255–269. Cham: Springer.
  • Ghoushchi, S. J., S. Yousefi, and M. Khazaeili. 2019. “An Extended FMEA Approach Based on the Z-MOORA and Fuzzy BWM for Prioritization of Failures.” Applied Soft Computing 81: 105505. doi:10.1016/j.asoc.2019.105505.
  • Gleissner, H., and J. C. Femerling. 2013. “The Principles of Logistics.” In Logistics, 3–18. Cham: Springer.
  • Hajiagha, S. H. R., S. S. Hashemi, Y. Mohammadi, and E. K. Zavadskas. 2016. “Fuzzy Belief Structure Based VIKOR Method: An Application for Ranking Delay Causes of Tehran Metro System by FMEA Criteria.” Transport 31 (1): 108–118. doi:10.3846/16484142.2016.1133454.
  • Kengpol, A., and S. Tuammee. 2016. “The Development of a Decision Support Framework for a Quantitative Risk Assessment in Multimodal Green Logistics: An Empirical Study.” International Journal of Production Research 54 (4): 1020–1038. doi:10.1080/00207543.2015.1041570.
  • Kim, E., and H. Kim. 2015. “A Reliability Model of Truck Transportation Using FMEA and FTA.” In Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering (MCM 2015), 256. Barcelona, July.
  • Kosko, B. 1986. “Fuzzy Cognitive Maps.” International Journal of Man-machine Studies 24 (1): 65–75. doi:10.1016/S0020-7373(86)80040-2.
  • Kumara, S. A. 2014. “FMEA Technique Applied to Inbound Logistics Process as a Means of Preventive Quality Management.” ACADEMICIA: An International Multidisciplinary Research Journal 4 (7): 143–152.
  • Kumru, M., and P. Y. Kumru. 2013. “Fuzzy FMEA Application to Improve Purchasing Process in a Public Hospital.” Applied Soft Computing 13 (1): 721–733. doi:10.1016/j.asoc.2012.08.007.
  • Kyriakarakos, G., A. I. Dounis, K. G. Arvanitis, and G. Papadakis. 2017. “Design of A Fuzzy Cognitive Maps Variable-load Energy Management System for Autonomous PV-reverse Osmosis Desalination Systems: A Simulation Survey.” Applied Energy 187: 575–584. doi:10.1016/j.apenergy.2016.11.077.
  • Liu, H. C., L. Liu, and N. Liu. 2013. “Risk Evaluation Approaches in Failure Mode and Effects Analysis: A Literature Review.” Expert Systems with Applications 40 (2): 828–838. doi:10.1016/j.eswa.2012.08.010.
  • Liu, H. C., J. X. You, Q. L. Lin, and H. Li. 2015. “Risk Assessment in System FMEA Combining Fuzzy Weighted Average with Fuzzy Decision-making Trial and Evaluation Laboratory.” International Journal of Computer Integrated Manufacturing 28 (7): 701–714. doi:10.1080/0951192X.2014.900865.
  • Liu, H. T., and Y. L. Tsai. 2012. “A Fuzzy Risk Assessment Approach for Occupational Hazards in the Construction Industry.” Safety Science 50 (4): 1067–1078. doi:10.1016/j.ssci.2011.11.021.
  • Lopez, C., and J. L. Salmeron. 2014. “Dynamic Risks Modelling in ERP Maintenance Projects with FCM.” Information Sciences 256: 25–45. doi:10.1016/j.ins.2012.05.026.
  • McFarlane, D., V. Giannikas, and W. Lu. 2016. “Intelligent Logistics: Involving the Customer.” Computers in Industry 81: 105–115. doi:10.1016/j.compind.2015.10.002.
  • Mourhir, A., T. Rachidi, E. I. Papageorgiou, M. Karim, and F. S. Alaoui. 2016. “A Cognitive Map Framework to Support Integrated Environmental Assessment.” Environmental Modelling & Software 77: 81–94. doi:10.1016/j.envsoft.2015.11.018.
  • Multaharju, S., K. Lintukangas, J. Hallikas, and A. K. Kähkönen. 2017. “Sustainability-related Risk Management in Buying Logistics Services.” The International Journal of Logistics Management 28 (4): 1351–1367. doi:10.1108/IJLM-05-2016-0134.
  • Olazabal, M., and U. Pascual. 2016. “Use of Fuzzy Cognitive Maps to Study Urban Resilience and Transformation.” Environmental Innovation and Societal Transitions 18: 18–40. doi:10.1016/j.eist.2015.06.006.
  • Özesmi, U., and S. Özesmi. 2003. “A Participatory Approach to Ecosystem Conservation: Fuzzy Cognitive Maps and Stakeholder Group Analysis in Uluabat Lake, Turkey.” Environmental Management 28 (4): 0518–0531. doi:10.1108/IJLM-05-2016-0134.
  • Papageorgiou, E. I., and A. Kannappan. 2012. “Fuzzy Cognitive Map Ensemble Learning Paradigm to Solve Classification Problems: Application to Autism Identification.” Applied Soft Computing 12 (12): 3798–3809. doi:10.1016/j.asoc.2012.03.064.
  • Papageorgiou, E. I., C. Stylios, and P. P. Groumpos. 2006. “Unsupervised Learning Techniques for Fine-tuning Fuzzy Cognitive Map Causal Links.” International Journal of Human-Computer Studies 64 (8): 727–743. doi:10.1016/j.ijhcs.2006.02.009.
  • Papageorgiou, E. I., C. D. Stylios, and P. P. Groumpos. 2004. “Active Hebbian Learning Algorithm to Train Fuzzy Cognitive Maps.” International Journal of Approximate Reasoning 37 (3): 219–249. doi:10.1016/j.ijar.2004.01.001.
  • Ren, S. 2012. “Assessment on Logistics Warehouse Fire Risk Based on Analytic Hierarchy Process.” Procedia Engineering 45: 59–63. doi:10.1016/j.proeng.2012.08.121.
  • Rezaee, M. J., A. Salimi, and S. Yousefi. 2017a. “Identifying and Managing Failures in Stone Processing Industry Using Cost-based FMEA.” The International Journal of Advanced Manufacturing Technology 88 (9–12): 3329–3342. doi:10.1007/s00170-016-9019-0.
  • Rezaee, M. J., and S. Yousefi. 2018. “An Intelligent Decision Making Approach for Identifying and Analyzing Airport Risks.” Journal of Air Transport Management 68: 14–27. doi:10.1016/j.jairtraman.2017.06.013.
  • Rezaee, M. J., S. Yousefi, and M. Babaei. 2017b. “Multi-stage Cognitive Map for Failures Assessment of Production Processes: An Extension in Structure and Algorithm.” Neurocomputing 232: 69–82. doi:10.1016/j.neucom.2016.10.069.
  • Rezaee, M. J., S. Yousefi, M. Eshkevari, M. Valipour, and M. Saberi. 2020. “Risk Analysis of Health, Safety and Environment in Chemical Industry Integrating Linguistic FMEA, Fuzzy Inference System and Fuzzy DEA.” Stochastic Environmental Research and Risk Assessment 34 (1): 201–218. doi:10.1007/s00477-019-01754-3.
  • Rezaee, M. J., S. Yousefi, and J. Hayati. 2019. “Root Barriers Management in Development of Renewable Energy Resources in Iran: An Interpretative Structural Modeling Approach.” Energy Policy 129: 292–306. doi:10.1016/j.enpol.2019.02.030.
  • Rezaee, M. J., S. Yousefi, M. Valipour, and M. M. Dehdar. 2018. “Risk Analysis of Sequential Processes in Food Industry Integrating Multi-stage Fuzzy Cognitive Map and Process Failure Mode and Effects Analysis.” Computers & Industrial Engineering 123: 325–337. doi:10.1016/j.cie.2018.07.012.
  • Romano, P. 2003. “Co-ordination and Integration Mechanisms to Manage Logistics Processes across Supply Networks.” Journal of Purchasing and Supply Management 9 (3): 119–134. doi:10.1016/S1478-4092(03)00008-6.
  • Salmeron, J. L., T. Mansouri, M. R. S. Moghadam, and A. Mardani. 2019. “Learning Fuzzy Cognitive Maps with Modified Asexual Reproduction Optimisation Algorithm.” Knowledge-Based Systems 163: 723–735. doi:10.1016/j.knosys.2018.09.034.
  • Segismundo, A., and P. A. C. Miguel. 2008. “Failure Mode and Effects Analysis (FMEA) in the Context of Risk Management in New Product Development.” International Journal of Quality & Reliability Management 25 (9): 899–912. doi:10.1108/02656710810908061.
  • Silva, M. M., A. P. H. de Gusmão, T. Poleto, L. C. E. E Silva, and A. P. C. S. Costa. 2014. “A Multidimensional Approach to Information Security Risk Management Using FMEA and Fuzzy Theory.” International Journal of Information Management 34 (6): 733–740. doi:10.1016/j.ijinfomgt.2014.07.005.
  • Šolc, M. 2012. “Applying of Method FMEA (Failure Mode and Effects Analysis) in the Logistics Process.” Advanced Research in Scientific Areas, Zilina, December, 1906–1911.
  • Song, W., X. Ming, Z. Wu, and B. Zhu. 2013. “Failure Modes and Effects Analysis Using Integrated Weight-based Fuzzy TOPSIS.” International Journal of Computer Integrated Manufacturing 26 (12): 1172–1186. doi:10.1080/0951192X.2013.785027.
  • Trafialek, J., and W. Kolanowski. 2014. “Application of Failure Mode and Effect Analysis (FMEA) for Audit of HACCP System.” Food Control 44: 35–44. doi:10.1016/j.foodcont.2014.03.036.
  • Tsai, M. C. 2006. “Constructing a Logistics Tracking System for Preventing Smuggling Risk of Transit Containers.” Transportation Research Part A: Policy and Practice 40 (6): 526–536. doi:10.1016/j.tra.2005.11.001.
  • Widrow, B., and M. E. Hoff. 1960. Adaptive Switching Circuits. California, USA: Stanford Univ Ca Stanford Electronics Labs.
  • Yang, C. C., W. T. Lin, M. Y. Lin, and J. T. Huang. 2006. “A Study on Applying FMEA to Improving ERP Introduction.” International Journal of Quality & Reliability Management 23 (3): 298–322. doi:10.1108/02656710610648242.
  • Yang, Z., and J. Wang. 2015. “Use of Fuzzy Risk Assessment in FMEA of Offshore Engineering Systems.” Ocean Engineering 95: 195–204. doi:10.1016/j.oceaneng.2014.11.037.
  • Yu, K., J. Cadeaux, and H. Song. 2017. “Flexibility and Quality in Logistics and Relationships.” Industrial Marketing Management 62: 211–225. doi:10.1016/j.indmarman.2016.09.004.

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