Evaluating Supply Chain Risks in The Moroccan Automotive Industry: A Multi-Criteria Decision-Making Approach

Kayouh, Nabil; Dkhissi, Btissam

doi:10.2478/mspe-2025-0013

References

K.E. Stecke, S. Kumar, Sources of Supply Chain Disruptions, Factors That Breed Vulnerability, and Mitigating Strategies, Journal of Marketing Channels, vol. 16, n^o 3, pp. 193–226, juin 2009, doi: 10.1080/10466690902932551.
Search in Google Scholar Back to article
M.V.C. Fagundes, E.O. Teles, S.A.B. Vieira De Melo, F.G.M. Freires, Supply chain risk management modelling: A systematic literature network analysis review, IMA Journal of Management Mathematics, vol. 31, n^o 4, pp. 387–416, sept. 2020, doi: 10.1093/imaman/dpaa019.
Search in Google Scholar Back to article
D. Fatima-Zahra, F. Abderrahim, Influence de la pandemie du COVID-19 sur la logistique et le transport au Maroc.
Search in Google Scholar Back to article
R. Mohammed, B. Maroua, B. Chaimaa, L’impact du COVID-19 sur la chaine logistique hospitalière au Maroc, Quel effet a eu cette crise sanitaire sur les échanges internationaux?, Technical Sciences, n^o 1, 2020.
Search in Google Scholar Back to article
Morocco’s Economy Has Come Under Pressure from Supply Shocks, World Bank. Consulté le: 11 mai 2024. [En ligne]. Disponible sur: https://www.worldbank.org/en/news/press-release/2023/02/14/morocco-s-economy-has-comeunder-pressure-from-supply-shocks
Search in Google Scholar Back to article
RF. Canal de Suez: Quel a été l’impact du blocage sur l’économie mondiale?, Maritime News. Consulté le: 11 mai 2024. [En ligne]. Disponible sur: https://maritimenews.ma/7-science/9412-canal-de-suezquel-a-ete-l-impact-du-blocage-sur-l-economie-mondiale
Search in Google Scholar Back to article
Ait Ali, Abdelaaziz, The Russia-Ukraine War and Food Security in Morocco, p. 34/22, 2022.
Search in Google Scholar Back to article
Transport & Logistics sector Morocco.
Search in Google Scholar Back to article
L’usine automobile PSA de Kenitra au Maroc à l’arrêt pour 15 jours, Le Desk. Consulté le: 11 mai 2024. [En ligne]. Disponible sur: https://mobile.ledesk.ma/live-content/lusine-automobile-psa-de-kenitra-au-maroclarret-pour-15-jours/
Search in Google Scholar Back to article
Grève dans l’usine PSA de Kenitra au Maroc, L’Anticapitaliste. Consulté le: 11 mai 2024. [En ligne]. Disponible sur: https://lanticapitaliste.org/actualite/international/grevedans-lusine-psa-de-kenitra-au-maroc
Search in Google Scholar Back to article
A. Amachraa, Morocco’s Rise In The Global Automotive Industry.
Search in Google Scholar Back to article
R. Echrigui, A. Moghar, M. Hamiche, The impact of the automotive industry on the moroccan economy, EJEFR, vol. 5, n^o 2, juin 2021, doi: 10.46827/ejefr.v5i2.1100.
Search in Google Scholar Back to article
T. Hahn, G.V. Auktor, The effectiveness of Morocco’s industrial policy in promoting a national automotive industry. in Discussion paper/German Development Institute, no. 2017, 27. Bonn: Deutsches Institut für Entwicklungspolitik GmbH, 2017.
Search in Google Scholar Back to article
M. Salhi, Y. Chater, A. Maurady, The impact of safety culture dimensions on workplace accidents: an application in the Moroccan automotive industry, Int J Occup Saf Health, vol. 14, n^o 1, pp. 107–116, janv. 2024, doi: 10.3126/ijosh.v14i1.55669.
Search in Google Scholar Back to article
P. Pakdeenarong, T. Hengsadeekul, Supply chain risk management of organic rice in Thailand, 10.5267/j.uscm, p. 165–174, 2020, doi: 10.5267/j.uscm.2019.7.007.
Search in Google Scholar Back to article
Y. Wang, H.X., Hao Research on the supply chain risk assessment of the fresh agricultural products based on the improved toptsis algorithm, Chemical Engineering Transactions, vol. 51, pp. 445–450, juill. 2016, doi: 10.3303/CET1651075.
Search in Google Scholar Back to article
S. Paul, G. Kabir, S.M. Ali, G. Zhang, Examining transportation disruption risk in supply chains: A case study from Bangladeshi pharmaceutical industry, Research in Transportation Business & Management, vol. 37, p. 100485, déc. 2020, doi: 10.1016/j.rtbm.2020.100485.
Search in Google Scholar Back to article
Supply Chain Risk Factors and Corporate Repute in Pharma Industry of Thailand, SRP, vol. 11, n^o 04, juin 2020, doi: 10.31838/srp.2020.4.16.
Search in Google Scholar Back to article
A.C. Cagliano, A. De Marco, S. Grimaldi, et C. Rafele, An integrated approach to supply chain risk analysis, Journal of Risk Research, vol. 15, n^o 7, pp. 817–840, août 2012, doi: 10.1080/13669877.2012.666757.
Search in Google Scholar Back to article
M. Junaid, Y. Xue, M.W. Syed, Construction of Index System for Risk Assessment in Supply Chains of Automotive Industry, vol. 9, n^o 4, 2020.
Search in Google Scholar Back to article
S. Cao, K. Bryceson, et D. Hine, An Ontology-based Bayesian network modelling for supply chain risk propagation, IMDS, vol. 119, n^o 8, pp. 1691–1711, sept. 2019, doi: 10.1108/IMDS-01-2019-0032.
Search in Google Scholar Back to article
S. Mukherjee, S.S. Padhi, Sourcing decision under interconnected risks: an application of mean–variance preferences approach, Ann Oper Res, vol. 313, n^o 2, pp. 1243–1268, juin 2022, doi: 10.1007/s10479-021-04485-3.
Search in Google Scholar Back to article
R. Sukwadi, A. Caesar, An integrated approach for supply chain risk management, Engineering Management in Production and Services, vol. 14, n^o 1, p. 38–48, mars 2022, doi: 10.2478/emj-2022-0004.
Search in Google Scholar Back to article
L. Wang, A multi-level fuzzy comprehensive assessment for supply chain risks, IFS, vol. 41, n^o 4, pp. 4947–4954, nov. 2021, doi: 10.3233/JIFS-189981.
Search in Google Scholar Back to article
M.F. Blos, S.L. Hoeflich, E.M. Dias, H.-M. Wee, A note on supply chain risk classification: discussion and proposal, International Journal of Production Research, vol. 54, n^o 5, pp. 1568–1569, mars 2016, doi: 10.1080/00207543.2015.1067375.
Search in Google Scholar Back to article
M.S. Shahbaz, R.Z. RM Rasi, M.F. Bin Ahmad, A novel classification of supply chain risks: Scale development and validation, JIEM, vol. 12, n^o 1, p. 201, avr. 2019, doi: 10.3926/jiem.2792.
Search in Google Scholar Back to article
V.V. Shenoi, T.N. S. Dath, C. Rajendran, Supply chain risk management in the Indian manufacturing context: a conceptual framework.
Search in Google Scholar Back to article
H. Rogers, M. Srivastava, K.S. Pawar, J. Shah, Supply chain risk management in India – practical insights, International Journal of Logistics Research and Applications, vol. 19, n^o 4, pp. 278–299, juill. 2016, doi: 10.1080/13675567.2015.1075476.
Search in Google Scholar Back to article
R.W. Monroe, J.M. Teets, P.R. Martin, Supply chain risk management: an analysis of sources of risk and mitigation strategies, IJAMS, vol. 6, n^o 1, p. 4, 2014, doi: 10.1504/IJAMS.2014.059291.
Search in Google Scholar Back to article
S. Fazli, R. Kiani Mavi, et M. Vosooghidizaji, Crude oil supply chain risk management with DEMATEL-ANP, Oper Res Int J, vol. 15, n^o 3, pp. 453–480, oct. 2015, doi: 10.1007/s12351-015-0182-0.
Search in Google Scholar Back to article
M. Shekarian, M. Mellat Parast, An Integrative approach to supply chain disruption risk and resilience management: a literature review, International Journal of Logistics Research and Applications, vol. 24, n^o 5, pp. 427–455, sept. 2021, doi: 10.1080/13675567.2020.1763935.
Search in Google Scholar Back to article
P. Trkman, M.P.V. de Oliveira, K. McCormack, Value-oriented supply chain risk management: you get what you expect, Industrial Management & Data Systems, vol. 116, n^o 5, pp. 1061–1083, juin 2016, doi: 10.1108/IMDS-09-2015-0368.
Search in Google Scholar Back to article
J. Liu, F. Liu, H. Zhou, Y. Kong, An Integrated Method of Supply Chains Vulnerability Assessment, Scientific Programming, vol. 2016, pp. 1–10, 2016, doi: 10.1155/2016/2819238.
Search in Google Scholar Back to article
F.E. Essaber, R. Benmoussa, R. De Guio, S. Dubois, A Hybrid Supply Chain Risk Management Approach for Lean Green Performance Based on AHP, RCA and TRIZ: A Case Study, Sustainability, vol. 13, n^o 15, p. 8492, juill. 2021, doi: 10.3390/su13158492.
Search in Google Scholar Back to article
M. Er Kara, S.Ü. Oktay Fırat, A. Ghadge, A data mining-based framework for supply chain risk management, Computers & Industrial Engineering, vol. 139, p. 105570, janv. 2020, doi: 10.1016/j.cie.2018.12.017.
Search in Google Scholar Back to article
A. Sibevei, A. Azar, M. Zandieh, S.M. Khalili, M. Yazdani, Developing a Risk Reduction Support System for Health System in Iran: A Case Study in Blood Supply Chain Management, IJERPH, vol. 19, n^o 4, p. 2139, févr. 2022, doi: 10.3390/ijerph19042139.
Search in Google Scholar Back to article
A. Ghadge, S. Dani, M. Chester, R. Kalawsky, A systems approach for modelling supply chain risks, Supply Chain Management: An International Journal, vol. 18, n^o 5, pp. 523–538, juill. 2013, doi: 10.1108/SCM-11-2012-0366.
Search in Google Scholar Back to article
Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand, D. Sumrit, et S. Srisawad, Fuzzy failure mode and effect analysis model for operational supply chain risks assessment: an application in canned tuna manufacturer in Thailand, Logforum, vol. 18, n^o 1, pp. 77–96, mars 2022, doi: 10.17270/J.LOG.2022.645.
Search in Google Scholar Back to article
P. Senna, A. Reis, I.L. Santos, A.C. Dias, O. Coelho, A systematic literature review on supply chain risk management: is healthcare management a forsaken research field?, BIJ, vol. 28, n^o 3, pp. 926–956, mars 2021, doi: 10.1108/BIJ-05-2020-0266.
Search in Google Scholar Back to article
S. Anwar, T. Djatna, Sukardi, P. Suryadarma, Modelling supply chain risks and their impacts on the performance of the sago starch agro-industry, IJPPM, vol. 71, n^o 6, pp. 2361–2392, juin 2022, doi: 10.1108/IJPPM-10-2020-0556.
Search in Google Scholar Back to article
F.R. Azmi, A. Abdullah, E.R. Cahyadi, H. Musa, J.R. Sa’ari, Type of Risk in Halal Food Supply Chain: A Review, vol. 9, n^o 4, 2020.
Search in Google Scholar Back to article
A. Samvedi, V. Jain, F.T.S. Chan, Quantifying risks in a supply chain through integration of fuzzy AHP and fuzzy TOP-SIS, International Journal of Production Research, vol. 51, n^o 8, pp. 2433–2442, avr. 2013, doi: 10.1080/00207543.2012.741330.
Search in Google Scholar Back to article
C.R. Vishnu, R. Sridharan, P.N.R. Kumar, Supply chain risk management: models and methods, Supply chain risk management.
Search in Google Scholar Back to article
A. Alora, M.K. Barua, An integrated structural modelling and MICMAC analysis for supply chain disruption risk classification and prioritisation in India.
Search in Google Scholar Back to article
J.R. Macdonald, C.W. Zobel, S.A. Melnyk, S.E. Griffis, Supply chain risk and resilience: theory building through structured experiments and simulation, International Journal of Production Research, vol. 56, n^o 12, pp. 4337–4355, juin 2018, doi: 10.1080/00207543.2017.1421787.
Search in Google Scholar Back to article
M. Kumar, P. Basu, B. Avittathur, Pricing and sourcing strategies for competing retailers in supply chains under disruption risk, European Journal of Operational Research, vol. 265, n^o 2, pp. 533–543, mars 2018, doi: 10.1016/j.ejor.2017.08.019.
Search in Google Scholar Back to article
K. Kauppi, A. Longoni, F. Caniato, M. Kuula, Managing country disruption risks and improving operational performance: risk management along integrated supply chains, International Journal of Production Economics, vol. 182, pp. 484–495, déc. 2016, doi: 10.1016/j.ijpe.2016.10.006.
Search in Google Scholar Back to article
K. Govindan, M.B. Jepsen, Supplier risk assessment based on trapezoidal intuitionistic fuzzy numbers and electre TRIC: A case illustration involving service suppliers, Journal of the Operational Research Society, vol. 67, n^o 2, pp. 339–376, févr. 2016, doi: 10.1057/jors.2015.51.
Search in Google Scholar Back to article
S. Kumar Sharma, S. Sharma, Developing a Bayesian Network Model for Supply Chain Risk Assessment, Supply Chain Forum: An International Journal, vol. 16, n^o 4, pp. 50–72, janv. 2015, doi: 10.1080/16258312.2015.11728693.
Search in Google Scholar Back to article
M. Yazdani, E.D.R.S. Gonzalez, P. Chatterjee, A multi-criteria decision-making framework for agriculture supply chain risk management under a circular economy context, MD, vol. 59, n^o 8, pp. 1801–1826, août 2021, doi: 10.1108/MD-10-2018-1088.
Search in Google Scholar Back to article
S. Carpitella, I. Mzougui, J. Izquierdo, Multi-criteria risk classification to enhance complex supply networks performance, OPSEARCH, vol. 59, n^o 3, pp. 769–785, sept. 2022, doi: 10.1007/s12597-021-00568-8.
Search in Google Scholar Back to article
J. Hou, X. Zhao, Toward a supply chain risk identification and filtering framework using systems theory, APJML, vol. 33, n^o 6, pp. 1482–1497, juin 2021, doi: 10.1108/APJML-05-2020-0342.
Search in Google Scholar Back to article
S. Althaf, C.W. Babbitt, Disruption risks to material supply chains in the electronics sector, Resources, Conservation and Recycling, vol. 167, p. 105248, avr. 2021, doi: 10.1016/j.resconrec.2020.105248.
Search in Google Scholar Back to article
S. Roscoe, H. Skipworth, E. Aktas, F. Habib, Managing supply chain uncertainty arising from geopolitical disruptions: evidence from the pharmaceutical industry and brexit, IJOPM, vol. 40, n^o 9, pp. 1499–1529, mai 2020, doi: 10.1108/IJOPM-10-2019-0668.
Search in Google Scholar Back to article
F. Jianying, Y. Bianyu, L. Xin, T. Dong, M. Weisong, Evaluation on risks of sustainable supply chain based on optimized BP neural networks in fresh grape industry, Computers and Electronics in Agriculture, vol. 183, p. 105988, avr. 2021, doi: 10.1016/j.compag.2021.105988.
Search in Google Scholar Back to article
E. Benedito, C. Martínez-Costa, S. Rubio, Introducing Risk Considerations into the Supply Chain Network Design, Processes, vol. 8, n^o 6, p. 743, juin 2020, doi: 10.3390/pr8060743.
Search in Google Scholar Back to article
S. Mithun Ali, Md. A. Moktadir, G. Kabir, J. Chakma, Md. J.U. Rumi, Md. T. Islam, Framework for evaluating risks in food supply chain: Implications in food wastage reduction, Journal of Cleaner Production, vol. 228, pp. 786–800, août 2019, doi: 10.1016/j.jclepro.2019.04.322.
Search in Google Scholar Back to article
S. Anwar, T. Djatna, Sukardi, P. Suryadarma, Modelling supply chain risks and their impacts on the performance of the sago starch agro-industry, IJPPM, vol. 71, n^o 6, pp. 2361–2392, juin 2022, doi: 10.1108/IJPPM-10-2020-0556.
Search in Google Scholar Back to article
A. Deiva Ganesh, P. Kalpana, Future of artificial intelligence and its influence on supply chain risk management – A systematic review, Computers & Industrial Engineering, vol. 169, p. 108206, juill. 2022, doi: 10.1016/j.cie.2022.108206.
Search in Google Scholar Back to article
M.M. Parast, N. Subramanian, An examination of the effect of supply chain disruption risk drivers on organizational performance: evidence from Chinese supply chains, SCM, vol. 26, n^o 4, pp. 548–562, mai 2021, doi: 10.1108/SCM-07-2020-0313.
Search in Google Scholar Back to article
H. Jiao, W. Ding, Y. Shi, N. Zhao, B. Wang, Supply chain risk assessment model based on cloud model with subjective preference weight allocation algorithm, IDT, vol. 14, n^o 2, pp. 133–142, juill. 2020, doi: 10.3233/IDT-180001.
Search in Google Scholar Back to article
X. Lei, C.A. MacKenzie, Assessing risk in different types of supply chains with a dynamic fault tree, Computers & Industrial Engineering, vol. 137, p. 106061, nov. 2019, doi: 10.1016/j.cie.2019.106061.
Search in Google Scholar Back to article
M.N. Khan, P. Akhtar, Y. Merali, Strategies and effective decision-making against terrorism affecting supply chain risk management and security: A novel combination of triangulated methods, IMDS, vol. 118, n^o 7, pp. 1528–1546, sept. 2018, doi: 10.1108/IMDS-09-2017-0449.
Search in Google Scholar Back to article
P. Kumar Tarei, G. Kumar, M. Ramkumar, A Mean-Variance robust model to minimize operational risk and supply chain cost under aleatory uncertainty: A real-life case application in petroleum supply chain, Computers & Industrial Engineering, vol. 166, p. 107949, avr. 2022, doi: 10.1016/j.cie.2022.107949.
Search in Google Scholar Back to article
R. Rostamzadeh, M.K. Ghorabaee, K. Govindan, A. Esmaeili, H.B.K. Nobar, Evaluation of sustainable supply chain risk management using an integrated fuzzy TOPSISCRITIC approach, Journal of Cleaner Production, vol. 175, pp. 651–669, févr. 2018, doi: 10.1016/j.jclepro.2017.12.071.
Search in Google Scholar Back to article
Y. Cao, W. Wei, L. Huang, H. Qiao, J. Du, Research on supply chain risk coping strategy based on fuzzy logic, IFS, vol. 37, n^o 4, pp. 4537–4546, oct. 2019, doi: 10.3233/JIFS-179287.
Search in Google Scholar Back to article
C. Bode, S.M. Wagner, Structural drivers of upstream supply chain complexity and the frequency of supply chain disruptions, Journal of Operations Management, vol. 36, n^o 1, pp. 215–228, mai 2015, doi: 10.1016/j.jom.2014.12.004.
Search in Google Scholar Back to article
S. Aghajanian, R.I. Shevchenko-Perepy, An Empirical Procurement Risk Management Framework in Supply Chain Networks: A Hybrid Approach, IEMS, vol. 17, n^o 4, pp. 730–744, déc. 2018, doi: 10.7232/iems.2018.17.4.730.
Search in Google Scholar Back to article
X. Zhang, B. Sun, X. Chen, X. Chu, J. Yang, An approach to evaluating sustainable supply chain risk management based on BWM and linguistic value soft set theory, IFS, vol. 39, n^o 3, pp. 4369–4382, oct. 2020, doi: 10.3233/JIFS-200372.
Search in Google Scholar Back to article
Dematerialization of Customs procedures: Feedback from Moroccan Customs, WCO News. Consulté le: 11 mai 2024. [En ligne]. Disponible sur: https://mag.wcoomd.org/magazine/wco-news-94/dematerialization-of-customs-procedures-morocco/
Search in Google Scholar Back to article
A. Av, Customs and excise administration.
Search in Google Scholar Back to article
K. Khan, A. Keramati, A Framework for Smart Supply Chain Risk Assessment: An Empirical Study, International Journal of Information Systems and Supply Chain Management, vol. 16, n^o 1, pp. 1–17, janv. 2023, doi: 10.4018/IJISSCM.316167.
Search in Google Scholar Back to article
Failure Mode and Effect Analysis (FMEA), in Service Design for Six Sigma, Hoboken, NJ, USA: John Wiley & Sons, Inc., 2005, pp. 241–261. doi: 10.1002/0471744719.ch11.
Search in Google Scholar Back to article
N. Rezki, M. Mansouri, Improving supply chain risk assessment with artificial neural network predictions, AL, vol. 10, n^o 04, pp. 645–658, déc. 2023, doi: 10.22306/al.v10i4.444.
Search in Google Scholar Back to article
H.S. Kilic, S.K. Canbakis, M. Karabas, S. Koseoglu, E. Unal, Z.T. Kalender, Integrated Supply Chain Risk Assessment Methodology Based on Modified FMEA, JRACR, vol. 13, n^o 2, juin 2023, doi: 10.54560/jracr.v13i2.359.
Search in Google Scholar Back to article
A. Nalhadi, A. Kurniasari, N. Djamal, S. Suryani, S. Supriyadi, Supply chain risk assessment of cotton shirt production uses the house of risk method, J. Phys.: Conf. Ser., vol. 1381, n^o 1, p. 012060, nov. 2019, doi: 10.1088/1742-6596/1381/1/012060.
Search in Google Scholar Back to article
G.C. Dias, C.T. Hernandez, U.R. de Oliveira, Supply chain risk management and risk ranking in the automotive industry, Gest. Prod., vol. 27, n^o 1, p. e3800, 2020, doi: 10.1590/0104-530x3800-20.
Search in Google Scholar Back to article
I. Mzougui, S. Carpitella, A. Certa, Z.E. Felsoufi, Assessing Supply Chain Risks in the Automotive Industry through a Modified MCDM-Based FMECA, p. 22, 2020.
Search in Google Scholar Back to article
M.A.T. Dvaipayana, I.K. Sriwana, Prambudia, Design of supply chain risk mitigation system using house of risk and Fuzzy AHP methods in precast concrete, Sinergi, vol. 28, n^o 1, p. 93, déc. 2023, doi: 10.22441/sinergi.2024.1.010.
Search in Google Scholar Back to article
R. Guo, Z. Wu, Social sustainable supply chain performance assessment using hybrid fuzzy – AHP-DEMATEL-VIKOR: a case study in manufacturing enterprises, Environ Dev Sustain, vol. 25, n^o 11, pp. 12273–12301, nov. 2023, doi: 10.1007/s10668-022-02565-3.
Search in Google Scholar Back to article
I. Masudin, R.W. Wardana, M.W.T. Wijayanti, D.P. Restuputri, Usability website evaluation for fresh food product in sme’s online business with fuzzy AHP-topsis integration, AEJ, vol. 13, n^o 3, pp. 71–79, août 2023, doi: 10.11113/aej.v13.19159.
Search in Google Scholar Back to article
R.M. Mouhoumed, Ö. Ekmekcioğlu, E.E. Başakın, M. Özger, Integrated Fuzzy AHP-TOPSIS Model for Assessing Managed Aquifer Recharge Potential in a Hot Dry Region: A Case Study of Djibouti at a Country Scale, Water, vol. 15, n^o 14, p. 2534, juill. 2023, doi: 10.3390/w15142534.
Search in Google Scholar Back to article
T.K.L. Nguyen, T.L.H. Nguyen, T.L. Ngo, B.A. Hoang, H.H. Le, T.T.H. Tran, An Integrated Approach of Fuzzy Analytic Hierarchy Process and Super Slack-Based Measure for the Logistics Industry in Vietnam, Sustainability, vol. 15, n^o 16, p. 12654, août 2023, doi: 10.3390/su151612654.
Search in Google Scholar Back to article
S.E. Helmy, G.H. Eladl, M. Eisa, Fuzzy analytical hierarchy process (fahp) using geometric mean method to select best processing framework adequate to big data. Vol., n^o 1, p. 20, 2005.
Search in Google Scholar Back to article
A.G. Abdullah, M.A. Shafii, S. Pramuditya, T. Setiadipura, K. Anzhar, Multi-criteria decision making for nuclear power plant selection using fuzzy AHP: Evidence from Indonesia, Energy and AI, vol. 14, p. 100263, oct. 2023, doi: 10.1016/j.egyai.2023.100263.
Search in Google Scholar Back to article
S.H. Anbarkhan, A Fuzzy-TOPSIS-Based Approach to Assessing Sustainability in Software Engineering: An Industry 5.0 Perspective, Sustainability, vol. 15, n^o 18, pp. 13844, sept. 2023, doi: 10.3390/su151813844.
Search in Google Scholar Back to article
T. Althaqafi, Cultivating Sustainable Supply Chain Practises in Electric Vehicle Manufacturing: A MCDM Approach to Assessing GSCM Performance, WEVJ, vol. 14, n^o 10, p. 290, oct. 2023, doi: 10.3390/wevj14100290.
Search in Google Scholar Back to article
S.W. Chisale, H.S. Lee, Evaluation of barriers and solutions to renewable energy acceleration in Malawi, Africa, using AHP and fuzzy TOPSIS approach, Energy for Sustainable Development, vol. 76, p. 101272, oct. 2023, doi: 10.1016/j.esd.2023.101272.
Search in Google Scholar Back to article
A. Tubis, S. Werbińska-Wojciechowska, Fuzzy topsis in selecting logistic handling operator: case study from Poland, Transport, vol. 38, n^o 1, pp. 12–30, avr. 2023, doi: 10.3846/transport.2023.17074.
Search in Google Scholar Back to article
O.I.S. El Dardery, I. Gomaa, A.R.M. Rayan, Frendy, G.E. Khayat, S.H. Sabry, Using Fuzzy TOPSIS and Balanced Scorecard for Kaizen Evaluation, Business Systems Research Journal, vol. 14, n^o 1, pp. 112–130, sept. 2023, doi: 10.2478/bsrj-2023-0006.
Search in Google Scholar Back to article
M. Ahani, H. R. Bahrami, M. Rostami, Determining and ranking dimensions of knowledge management implementation using Hicks model and fuzzy TOPSIS Technique, msl, vol. 3, n^o 2, pp. 721–730, févr. 2013, doi: 10.5267/j.msl.2012.11.023.
Search in Google Scholar Back to article
S.H. Kia, A. Danaei, M. Oroei, An application of fuzzy TOP-SIS on ranking products: A case study of faucet devices, 10.5267/j.dsl, p. 43–48, 2014, doi: 10.5267/j.dsl.2013.08.004.
Search in Google Scholar Back to article

Evaluating Supply Chain Risks in The Moroccan Automotive Industry: A Multi-Criteria Decision-Making Approach

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