اخبار و اعلانات
آمار
| تعداد نشریات | 34 |
| تعداد شماره‌ها | 1,338 |
| تعداد مقالات | 9,662 |
| تعداد مشاهده مقاله | 9,926,140 |
| تعداد دریافت فایل اصل مقاله | 6,116,207 |
طراحی مدل انتخاب تأمین‌کننده در زنجیره تأمین صنعت فولاد – مطالعه موردی شرکت گروه ملی صنعتی فولاد ایران | ||
| مدیریت زنجیره تأمین | ||
| دوره 27، شماره 87، شهریور 1404، صفحه 67-82 اصل مقاله (1.45 M) | ||
| نوع مقاله: پژوهشی | ||
| نویسندگان | ||
| پرستو قریشوندی1؛ منصور زراءنژاد* 2؛ محمد همتی3؛ قنبر امیرنژاد4 | ||
| 1دانشجوی دکتری، گروه مدیریت بازرگانی، واحد اهواز، دانشگاه آزاد اسلامی، اهواز، ایران. | ||
| 2استاد، گروه مدیریت، واحد اهواز، دانشگاه آزاد اسلامی، اهواز، ایران. | ||
| 3دانشیار، گروه مدیریت، واحد سمنان، دانشگاه آزاد اسلامی، اهواز، ایران. | ||
| 4دانشیار، گروه مدیریت، واحد علوم تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران. | ||
| تاریخ دریافت: 06 آبان 1403، تاریخ بازنگری: 30 آبان 1403، تاریخ پذیرش: 21 تیر 1404 | ||
| چکیده | ||
| هدف پژوهش حاضر طراحی مدل شناسایی و رتبه‌بندی عوامل مؤثر بر انتخاب تأمین‌کنندگان شرکت گروه ملی صنعتی فولاد ایران بوده است. این پژوهش از لحاظ روش، جزء پژوهش‌های اکتشافی قرار گرفته و براساس هدف اصلی خود، مطالعه‌ای اکتشافی و تأییدی و از لحاظ هدف کاربردی محسوب می‌شود. چارچوب بکار رفته ترکیبی مبتنی بر روش‌های چندمعیاره است. در این رابطه، ابتدا براساس ادبیات تحقیق و نظرخبرگان بهروش دلفی، معیارهای ارزیابی و انتخاب تأمین‌کننده مناسب تعیین شدند. پس از غربالگری معیارها، براساس روش دیماتل معیارهای مطلوب تأثیرگذار بر ارزیابی و انتخاب تأمین‌کنندگان تعیین و ارتباط بین آنها و مدل‌سازی این ارتباطات انجام شد. در مرحله سوم، از روش ANP برای وزن‌دهی معیارها استفاده گردید. درنهایت، در مرحله چهارم، پرسشنامه تعیین روابط مدل‌سازی ساختاری توسط خبرگان سازمان تکمیل و با استفاده از داده‌های به‌دست آمده از پرسشنامه‌ها، روش معادلات ساختاری به منظور تأیید مدل اکتشافی مورد استفاده قرار گرفت. روش مورد استفاده در پژوهش حاضر نیز از نوع مصاحبه عمقی- روش دلفی، جامعة آماری تعداد 10 نفر از خبرگان مطلع با موضوع پژوهش و روش نمونه‌گیری گلوله برفی بوده است. نتایج پژوهش نشان داد که عامل اصالت کالا و مطابقت با استانداردها و آنالیز درخواستی محصول با وزن 148/0 در رتبة اول و عوامل نماینده معتبر یا انحصاری کالا و خدمات پس از فروش (گارانتی و وارانتی) با وزن‌های 144/0 و 123/0 به‌ترتیب در رتبه‌های دوم و سوم قرار دارند. | ||
| کلیدواژه‌ها | ||
| تصمیم‌گیری چندمعیاره؛ دیماتل؛ زنجیره تأمین؛ صنعت فولاد؛ فرآیند تحلیل شبکه | ||
| عنوان مقاله [English] | ||
| Identify and Rank the Factors Influencing the Selection of Suppliers of the Iran Steel National Industrial Group | ||
| نویسندگان [English] | ||
| Parastoo Ghoreishvandi1؛ Mansour Zaranezhad2؛ Mohammad Hemmati3؛ Ghanbar Amirnezhad4 | ||
| 1Ph.D. Candidate, Department of Business Management, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran. | ||
| 2Professor, Department of Management, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran. | ||
| 3Associate Professor, Department of Management, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran. | ||
| 4Associate Professor, Department of Management, Science and Research Branch, Islamic Azad University, Tehran, Iran. | ||
| چکیده [English] | ||
| The aim of the current research 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 study showed that the factors of product authenticity and compliance with standards and requested product analysis with a weight of 0.148 were in the first rank, and the factors of a reliable or exclusive representative of the product and after-sales service (guarantee and warranty) with weights of 0.144 and 0.123 were in the second and third ranks, respectively. | ||
| کلیدواژه‌ها [English] | ||
| MCDM, DEMATEL, Supply chain, Steel industry, Network analysis process | ||
| مراجع | ||
|
[1] G. Klein, “Transformational and transactional leadership, organizational support and environmental competition intensity as antecedents of entrepreneurial behaviors”, European Research on Management and Business Economics, vol. 29, No, 2, pp. 637-656, 2024. [2] U. Kumar, & R. Shankar, “Smart dairy: Unleashing emerging ICT-enabled lean dairy supply chains through data-driven decision-making”, International Journal of Information Management Data Insights, vol.4, No.2, pp. 174-193, 2024. [3] Q, Liu, Y. Liang, C. Liu, J. Xue, H. Zhang, R. Tu, X. Zou, & Y. Liang, “Developing an integrated and collaborated evaluation index system for crude oil supply chains: A case study from China”, Chemical Engineering Research and Design, vol.28, No. 1, pp.71-88, 2024. [4] C. Rossi, L. Shen, M. Junginger, & B. Wicke, “Sustainability certification of bio-based products: Systematic literature review of socio-economic impacts along the supply chain”, Journal of Cleaner Production, vol. 468, pp. 503-522, 2023. [5] R. Silvestri, E. Carloni, D. Morrone, & S. Santovito,” The role of blockchain technology in supply chain relationships: Balancing efficiency and relational dynamics”, Journal of Purchasing and Supply Management, vol. 48, No. 4, pp. 229-246, 2024. [6] Y. Wu, J. Wang, & P. Yang, “How supply chain digitalization investment affects firm's financial and non-financial performance: Evidence from listed companies in China”, International Review of Financial Analysis, vol. No.1, pp.1-14, 2024. [7] H. Mollashahi, M.B. Fakhrzad, H. Hoseini Nasab, H., & H. Khademi Zare, “Inter-Chain Competition Based on Sustainability and Resilience Indicators in the Problem of Supply Chain Network Design” Supply chain Management, vol.26, No. 82, pp. 77-93, 2024, (In Persian). [8] S. Torabi, & Y. Heidari, “Integrated production and distribution scheduling in a dental prosthetics supply chain under additive manufacturing environment”, Industrial Management Studies, vol. 21, No. 69, pp. 43-75, 2023 (In Persian). [9] M. T. A. Amini, M. Esmaeili, M. H. H. Hosseini, & S. M. B. Bagheri, “Developing a Model of Value-Creating Defense Supply Chain Management (Approach of Creating a Competitive Advantage in Food Industry)” Military Management Quarterly, vol. 23, no. 89, pp. 149-172, 2023, (In Persian). ] 10] M. Kiani, D. Andalib Ardakani, S. H. Mirfakhredini, & H. Zare Ahmadabadi, “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, vol. 13, No.4, pp.9-45, 2023, (In Persian). [11] A. Morshedi, & N. Nezafati, “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, vol.4, No.3, pp. 175-223, 2021, (In Persian). [12] R. Shahpouri, A. Amirkhani, & A. Salehababdi, “Ranking of Financing Methods in Iran's Steel Industry through the Statistical Model of Multi-Indicator Decision Making”, Journal of Research and Economic Policies, vol. 31, No. 108, pp. 33-65, 2024, (In Persian). [13] R. Chaudhuri, S. Chatterjee, S. Gupta., & S. Kamble,” Green supply chain technology and organization performance: Moderating role of environmental dynamism and product-service innovation capability”, Technovation, vol.128, pp. 694-711, 2023 [14] D. De Moor, J. Wagenaar, R. Poos, D. Den Hertog, & H. Fleuren” A robust approach to food aid supply chains”, European Journal of Operational Research, vol. 318, No.1, pp. 269-285, 2024. [15] M. Junaid, Q. Zhang, M. Cao, & A. Luqman, “Nexus between technology enabled supply chain dynamic capabilities, integration, resilience, and sustainable performance: An empirical examination of healthcare organizations”, Technological Forecasting and Social Change, vol.196, pp.443-457, 2023. [16] L. Maretto, M. Faccio, & D. Battini, “A Multi-Criteria Decision-Making Model Based on Fuzzy Logic and AHP for the Selection of Digital Technologies”, IFAC-PapersOnLine, vol.55, No. 2, pp. 319-324, 2022. [17] S. Da Silva, L. Favero, M. Moreira, & M. Dos Santos “Proposal of a diversified investment portfolio in stocks: An approach to AHP-Gaussian method” Procedia Computer Science, vol. 221, pp. 418-425, 2023. [18]P. Taebi, M. H. Alavi Sadr, & S. M. A. Khatami Firouzabadi “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, vol. 28, No.112, pp. 46-63, 2024, (In Persian). [19] S. A. Gholamian, “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, vol. 4, No.1, pp.1-21, 2024, (In Persian). [20] M. Keshavarz-Ghorabaee” 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, vol. 22, no.74, pp.1-25, 2024, (In Persian). [21] S. A. Nasri, A. Sarabi, A. Shabanian, S. M. Hosseini, & R. Nowshadi, “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, vol.9, No.1, pp. 210-235, 2023, (In Persian). [22] C. Wulandari, P. Astutik, R. Soegito, Y. Dharmawan, H. Munawaroh, & T. Bariyah, “Hybrid MCDM Career Recommendation System for Information System Student Using AHP, VIKOR and Weighted Euclidean Distance”, Procedia Computer Science, vol.234, pp. 364-372, 2024. [23] R. Acar, E, Haktanır, G, Temur, & A, Beskese, “Sustainable stationary hydrogen storage application selection with interval-valued intuitionistic fuzzy AHP”. International Journal of Hydrogen Energy, vol. 49, No.4, pp. 619-634, 2024. [24] V. Muerza, M. Milenkovic, E. Larrode, & N. Bojovic, “Selection of an international distribution center location: A comparison between stand-alone ANP and DEMATEL-ANP applications”, Research in Transportation Business & Management, vol.56, pp.74-92, 2024. [25] F. Mizrak, G. Akkartal, “Prioritizing cybersecurity initiatives in aviation: A dematel-QSFS methodology” , Journal of Heliyon, vol.10, pp. 325-339, 2024. [26] M. Shanta, I. Choudhury, & S. Salman,” Municipal solid waste management: Identification and analysis of technology selection criteria using Fuzzy Delphi and Fuzzy DEMATEL technique” Journal of Heliyon, vol.10, no. 1, pp. 507-522, 2024. [27] F. Pang, G. Miao, Y. Li, & Y. Shi, “Key Factors Influencing Sustainable Population Growth: A DEMATEL-ANP Combined Approach” ,Journal of Heliyon ,vol.10, No.4 , pp. 245-257, 2024. [28] A. Bazargan, A. (2024). Research methods in behavioral sciences, 2024, (In Persian). [29] J. Mason, “Qualitative research method”, Translated by Mohammad Heidarpour Kelidsar, Tehran: Shahrab, 2023, (In Persian). [30] M. Gall, “Quantitative and qualitative research methods”, Translated by Ahmadreza Nasr, Tehran: SAMT, 2023, (In Persian). [31] D. Delavar, “Educational and Psychological research”, Tehran: Virayesh, 2021, (In Persian). | ||
|
آمار تعداد مشاهده مقاله: 106 تعداد دریافت فایل اصل مقاله: 16 |
||