Designing a Model to Identify and Rank the Factors Influencing the Selection of Suppliers of the Iran Steel National Industrial Group
محورهای موضوعی : Business Strategy
Parastoo Ghoreishvandi
1
,
Mansour Zaranezhad
2
,
Mohammad Hemati
3
,
Ghanbar Amirnejad
4
1 - Ph.D. Candidate, Department of Business Management, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.
2 - Professor, Department of Management, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.
3 - Associate Professor, Department of Management, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.
4 - Associate Professor, Department of Management, Science and Research Branch, Islamic Azad University, Tehran, Iran.
کلید واژه: MCDM, DEMATEL, Supply chain, Steel industry, Network analysis process.,
چکیده مقاله :
The aim of this study was to design a model for identification and ranking of factors influencing the selection of suppliers of Iran's National Steel Industrial Group. In terms of the method, the current research is part of the descriptive research and based on its main purpose, it is an exploratory and confirmatory study, and in terms of the applied purpose. After filtering the criteria, based on the DEMATEL technique, the desired criteria affecting the evaluation and selection of suppliers will be determined and the relationship between them and the modeling of these relationships will be done. In the third step, the ANP method is used to weight the criteria. Finally, in the fourth stage, the questionnaire to determine structural modeling relationships is completed by the experts of the organization and using the data obtained from the questionnaires, the method of structural equations is used to confirm the exploratory model. The technique used in the current research was an in-depth interview-Delphi method, a statistical population of 10 knowledgeable experts on the subject of the research, and a non-probability chain sampling method. The results of the research showed that the factor of product authenticity and compliance with the standards and requested analysis of the product are in the first rank and the factors of authentic or exclusive representative of goods and after-sales services (guarantee and warranty) are in the second and third ranks, respectively.
The aim of this study was to design a model for identification and ranking of factors influencing the selection of suppliers of Iran's National Steel Industrial Group. In terms of the method, the current research is part of the descriptive research and based on its main purpose, it is an exploratory and confirmatory study, and in terms of the applied purpose. After filtering the criteria, based on the DEMATEL technique, the desired criteria affecting the evaluation and selection of suppliers will be determined and the relationship between them and the modeling of these relationships will be done. In the third step, the ANP method is used to weight the criteria. Finally, in the fourth stage, the questionnaire to determine structural modeling relationships is completed by the experts of the organization and using the data obtained from the questionnaires, the method of structural equations is used to confirm the exploratory model. The technique used in the current research was an in-depth interview-Delphi method, a statistical population of 10 knowledgeable experts on the subject of the research, and a non-probability chain sampling method. The results of the research showed that the factor of product authenticity and compliance with the standards and requested analysis of the product are in the first rank and the factors of authentic or exclusive representative of goods and after-sales services (guarantee and warranty) are in the second and third ranks, respectively.
Acar, R., Haktanır, E., Temur, G., & Beskese, A. (2024). Sustainable stationary hydrogen storage application selection with interval-valued intuitionistic fuzzy AHP. International Journal of Hydrogen Energy, 49(4), 619-634.
Amini, M. T. A., Esmaeili, M., Hosseini, M. H. H., & Bagheri, S. M. B. (2023). Developing a Model of Value-Creating Defense Supply Chain Management(Approach of Creating a Competitive Advantage in Food Industry). Military Management Quarterly, 23(89), 149-172. [In Persian]
Bazargan, A. (2024). Research methods in behavioral sciences. [In Persian]
Burgess, P., Sunmola, S., & Wertheim-Heck, S. (2023). A review of supply chain quality management practices in sustainable food networks. Journal of Heliyon, 9(11), 577-592.
Chaudhuri, R., Chatterjee, S., Gupta., S., & Kamble, S. (2023). Green supply chain technology and organization performance: Moderating role of environmental dynamism and product-service innovation capability. Technovation, (128), 694-711.
Da Silva, S., Favero, L., Moreira, M., & Dos Santos, M. (2023). Proposal of a diversified investment portfolio in stocks: An approach to AHP-Gaussian method. Procedia Computer Science, (221), 418-425.
Delavar, D. (2021). Educational and Psychological research. Tehran: Virayesh. [In Persian]
De Meyer, A., Verdonck, S., Storms, I., & Muys, B. (2024). Spatio-temporal feedstock availability and techno-economic constraints in the design and optimization of supply chains: The case of domestic woody biomass for biorefining. Journal of Cleaner Production, (440), 51-68.
De Moor, D., Wagenaar, J., Poos, R., Den Hertog, D., & Fleuren, H. (2024). A robust approach to food aid supply chains. European Journal of Operational Research, 318(1), 269-285.
Ersahin, E., Giannetti, M., & Huang, R. (2024). Trade credit and the stability of supply chains. Journal of Financial Economics, (155), 91-110.
Gall, M. (2023). Quantitative and qualitative research methods. Translated by Ahmadreza Nasr, Tehran: SAMT. [In Persian]
Gholamian, S. A. (2024). Evaluation and selection of a sustainable supplier by providing a decision support system based on a new data envelopment analysis model and cumulative star utility. Journal of System and Productivity Engineering, 4(1), 1-21. [In Persian]
Helli, S. S., Mokhtari, H., & Dehnavi, S. (2024). Optimizing the Construction Supply Chain Network Considering the Flow of Materials, Equipment, Manpower, Drawings and Technical Documents. Research in Production and Operations Management, 15(2), 27-55. [In Persian]
Junaid, M., Zhang, Q., Cao, M., & Luqman, A. (2023). Nexus between technology enabled supply chain dynamic capabilities, integration, resilience, and sustainable performance: An empirical examination of healthcare organizations. Technological Forecasting and Social Change, (196), 443-457.
Keshavarz-Ghorabaee, M. (2024). A multi-objective model based on group decision-making and interval-valued Pythagorean fuzzy sets for the supplier selection and order allocation problem. Industrial Management Studies, 22(74), 1-25. [In Persian]
Keyhanizadeh, A. (2024). Examining the Role of Behavioral Dimensions and Technical Dimensions of Green Supply Chain Management on the Performance of the Organization with Regard to the Mediating Role of Information Technology Capabilities in the Food Industry of Kaveh Industrial City, New Research Approaches in Management Sciences, 13(33), 1-12. [In Persian]
Kiani, M., Andalib Ardakani, D., Mirfakhredini, S. H., & Zare Ahmadabadi, H. (2023). An Analysis of the Barriers to the Implementation of the Circular Economy and Industry 4.0 in the Supply Chain: The Meta-Synthesis Approach and Fuzzy DANP. Journal of Industrial Management Perspective, 13(4), 9-45. [In Persian]
Klein, G. (2024). Transformational and transactional leadership, organizational support and environmental competition intensity as antecedents of intrapreneurial behaviors. European Research on Management and Business Economics, 29(2), 637-656.
Kumar, U., & Shankar, R. (2024). Smart dairy: Unleashing emerging ICT-enabled lean dairy supply chains through data-driven decision-making. International Journal of Information Management Data Insights, 4(2), 174-193.
Liu, Q., Liang, Y., Liu, C., Xue, J., Zhang, H., Tu, R., Zou, X., & Liang, Y. (2024). Developing an integrated and collaborated evaluation index system for crude oil supply chains: A case study from China. Chemical Engineering Research and Design, 28(1), 71-88.
Maretto, L., Faccio, M., & Battini, D. (2022). A Multi-Criteria Decision-Making Model Based on Fuzzy Logic and AHP for the Selection of Digital Technologies. IFAC-PapersOnLine, 55(2), 319-324.
Mason, J. (2023). Qualitative research method. Translated by Mohammad Heidarpour Kelidsar, Tehran: Shahrab. [In Persian]
Mizrak, F., & Akkartal, G. (2024). Prioritizing cybersecurity initiatives in aviation: A dematel-QSFS methodology. Journal of Heliyon, 10(16), 325-339.
Mollashahi, H., Fakhrzad, M. B., Hoseini Nasab, H., & Khademi Zare, H. (2024). Inter-Chain Competition Based on Sustainability and Resilience Indicators in the Problem of Supply Chain Network Design. Supply Chain Management, 26(82), 77-93. [In Persian]
Morshedi, A., & Nezafati, N. (2021). The Interpretation of Knowledge Management Implementation Challenges and the Design of Relevant Solutions in Supply Chains (Case study: Steel Industry). Strategic Management of Organizational Knowledge, 4(3), 175-223. [In Persian]
Muerza, A., Milenkovic, M., LarrodE, E., & Bojovic. N. (2024). Selection of an international distribution center location: A comparison between stand-alone ANP and DEMATEL-ANP applications. Research in Transportation Business & Management, (56), 74-92.
Nasri, S. A., Sarabi, A., Shabanian, A., Hosseini, S. M., & Nowshadi. R. (2023). Defining and prioritizing criteria for sustainable supplier selection in the oil and petrochemical industry (case study: National Iranian Oil Company). Quarterly Journal of Energy Policy and Planning Research, 9(1), 210-235. [In Persian]
Pang, F., Miao, G., Li, Y., & Shi, Y. (2024). Key Factors Influencing Sustainable Population Growth: A DEMATEL-ANP Combined Approach. Journal of Heliyon, 10(4), 245-257.
Romano, A., Ferreira, L., & Caeiro, S. (2023). Why companies adopt supply chain sustainability practices: A study of companies in Brazil. Journal of Cleaner Production, (433), 220-238.
Rossi, C., Shen, L., Junginger, M., & Wicke, B. (2023). Sustainability certification of bio-based products: Systematic literature review of socio-economic impacts along the supply chain. Journal of Cleaner Production, (468), 503-522.
Shahpouri, R., Amirshahi, A., & Salehababdi, A. (2024). Ranking of Financing Methods in Iran's Steel Industry through the Statistical Model of Multi-indicator Decision Making. Journal of Research and Economic Policies, 31(108), 33-65. [In Persian]
Shanta, M., Choudhury, I., & Salman, S. (2024). Municipal solid waste management: Identification and analysis of technology selection criteria using Fuzzy Delphi and Fuzzy DEMATEL technique. Journal of Heliyon, 10(1), 507-522
Silvestri, R., Carloni, E., Morrone, D., & Santovito, S. (2024). The role of blockchain technology in supply chain relationships: Balancing efficiency and relational dynamics. Journal of Purchasing and Supply Management, 48(4), 229-246.
Taebi, P., Alavi Sadr, M. H., & Khatami Firouzabadi, S. M. A. (2024). Identification and prioritization of suitable supplier selection criteria based on the four dimensions of sustainability with a multi-criteria decision-making approach. Iranian Rubber Industry, 28(112), 46-63. [In Persian]
Torabi, S., & Heidari, Y. (2023). Integrated production and distribution scheduling in a dental prosthetics supply chain under additive manufacturing environment. Industrial Management Studies, 21(69), 43-75. [In Persian]
Wu,Y., Wang, J., & Yang, P. (2024). How supply chain digitalization investment affects firm's financial and non-financial performance: Evidence from listed companies in China. International Review of Financial Analysis, 32(1), 1-14.
Wulandari, C., Astutik, P., Soegito, R., Dharmawan, Y., Munawaroh, H., & Bariyah, T. (2024). Hybrid MCDM Career Recommendation System for Information System Student Using AHP, VIKOR and Weighted Euclidean Distance. Procedia Computer Science, (234), 364-372.
Xu, J., Yu, Y., & Hu, L. (2023). Political ties and information technology: Untangling their impact on supply chain social responsibility and sustainable performance. Journal of Purchasing and Supply Management, 29(5), 1-14.
