نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار گروه مدیریت ،‌ دانشکده مدیریت و مهندسی صنایع، دانشگاه صنعتی مالک اشتر، تهران،‌ایران

2 دانشیار گروه مدیریت ،دانشکده مدیریت مهندسی صنایع، دانشگاه صنعتی مالک اشتر، تهران، ایران

3 دانشجوی کارشناسی ارشد مدیریت کسب و کار، دانشکده مدیریت مهندسی صنایع، دانشگاه صنعتی مالک اشتر، تهران، ایران

چکیده

رقابت میان شرکت‌ها و زنجیره تأمین آن‌ها، سبب شده است تا هر سازمان تلاش خود را به همکاری با بهترین تأمین‌کنندگان و شرکای تجاری منعطف سازد. انتخاب تأمین‌کنندگان مناسب برای هر سازمانی می‌تواند مزیت رقابتی پایدار ایجاد کرده و به سودآوری آن کمک نماید. سازمان اتکا نیز از این مسئله مستثنی نیست و با توجه به این که سازمان، وظیفه‌ی تأمین نیازهای مصرفی، اقلام و نیازمندی‌های عمومی نیروهای مسلح را برعهده دارد، مستلزم همکاری با بهترین تأمین‌کنندگانی است که بتوانند نیازها و چالش‌های سازمان را برطرف سازند. وجود اتلاف‌، عدم برخورداری از انعطاف‌پذیری، وجود راهبردهای غیرکارآمد و همچنین ریسک رخداد اختلالات، از جمله چالش‌های سازمان است، به همین علت، این پژوهش با هدف پاسخ به این نیاز، به ارائه‌ی چارچوبی برای انتخاب تأمین‌کننده ناب، چابک و تاب‌آور در زنجیره تأمین سازمان اتکا پرداخته است. در راستای رسیدن به این هدف، ابتدا از طریق مطالعه‌ی ادبیات موضوع، معیارهای انتخاب تأمین‌کننده ناب‌، چابک و تاب‌آور، شناسایی شد و سپس با استفاده از روش غربالگری فازی معیارهای مورد نظر بومی‌سازی شدند. در گام بعد، به کمک روش ترکیبی بهترین-بدترین و اعداد راف، معیارها بر اساس میزان اهمیت وزن‌دهی شدند، که در نتیجه‌ی آن مهم‌ترین معیارهای شناسایی شده، معیارهای «همکاری و هماهنگی» از رویکرد تأمین تاب‌آور، «توسعه‌ی اعتماد» از رویکرد تأمین چابک و «کیفیت محصول» از رویکرد تأمین ناب، می‌باشند. همچنین، جهت بررسی قابلیت‌های چارچوب پیشنهاد شده، 4 تأمین‌کننده در صنایع کنسروسازی انتخاب گردیدند و به کمک روش ویکور راف، رتبه‌بندی شدند؛ در نتیجه‌ی آن، شرکت کنسروسازی قائمشهر به عنوان رتبه اول انتخاب شد.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Providing a Framework for Lean, Agile, and Resilient Supplier Selection in the Supply Chain of the Etka Organization: A Rough MCDM Approach

نویسندگان [English]

  • Akbar Rahimi 1
  • mohamad hossein karimi govareshki 2
  • Amirreza zareei 3

1 Assistant Professor, Department of Management, Faculty of Management and Industrial Engineering, Malik Ashtar University of Technology, Tehran, Iran

2 Associate Professor, Department of Management, Faculty of Industrial Engineering Management, Malik Ashtar University of Technology, Tehran, Iran

3 Master's student in Business Administration, Faculty of Industrial Engineering Management, Malik Ashtar University of Technology, Tehran, Iran

چکیده [English]

The competitive landscape among companies and their supply chains necessitates a heightened focus on collaborating with the best suppliers. The appropriate selection of suppliers presents an opportunity for organizations to gain a sustainable competitive advantage while enhancing profitability. The Etka organization, responsible for meeting the consumption and general needs of the armed forces, is no exception. Consequently, it requires establishing partnerships with suppliers across industries. To address this need, this research aims to provide a framework for selecting suppliers with lean, agile, and resilient approaches within the supply chain of the Etka organization. To achieve this objective, an extensive review of the relevant literature on lean, agile, and resilient supplier selection was undertaken. Through this process, key selection criteria were identified, and the fuzzy screening method was employed to localize and refine these criteria. Furthermore, the combined rough best-worst method was utilized to assign weights to each criterion, reducing uncertainties associated with expert opinions. "Cooperation and coordination" emerged as the most critical criterion from the resilient supply perspective, "trust development" from the agile supply approach, and "product quality" from the lean supply approach. The application of the rough VIKOR method then facilitated the ranking of selected suppliers, resulting in the Qaemshahr canning company being identified as the most desirable supplier in the related industry. This study presents a comprehensive framework for selecting lean, agile, and resilient suppliers within the supply chain of the Etka organization, enabling fruitful partnerships that contribute to competitive advantage and overall profitability.
Introduction
The foundational importance of ensuring the timely provision of high-quality sustenance to the armed forces at reasonable costs stands as a cornerstone in bolstering a nation's defense preparedness. The Etka organization, entrenched in the responsibility of orchestrating the seamless delivery of top-tier nourishment to military personnel from farm to table, grapples with the imperative of devising astute supply chain management strategies. As global challenges, such as the ramifications of the COVID-19 pandemic, underscore the criticality of resilient supply chains, Etka's commitment to fortifying its procurement infrastructure gains newfound significance. While Etka cultivates a portion of its food internally, strategic partnerships play a pivotal role in ensuring the efficient fulfillment of diverse demands. In tandem, industry-wide strategies like adopting lean, agile, and resilient supply chain methodologies could guide organizations toward operational efficiency, profitability, and customer-centricity. The nimble nature of the agile approach, coupled with the waste-reducing prowess of the lean strategy, and the resilience to rebound after disruptions embody the ethos underpinning modern supply chain excellence. Effective supplier selection emerges as a linchpin in the quest for operational optimization and enhanced competitiveness, particularly manifesting as an imperative facet in Etka's role as a custodian of the armed forces' nutritional sustenance. This necessitates meticulous scrutiny, evaluation, and collaboration with suppliers aligned with the organization's criteria to ensure streamlined procurement processes. This scholarly endeavor embarks on architecting a comprehensive roadmap for selecting suppliers harmonized with Etka's requisites through the delineation of precise procurement criteria and strategic imperatives.
Literature Review
In the area of supplier selection, various studies have been conducted. Among these, there are studies that have selected suppliers based on one, two, or all of the essential, agile, and resilient approaches. These three approaches are of significant importance in the matter of selecting suppliers, to the extent that almost all recent research in the field of supplier selection has examined at least one of these approaches. Therefore, in this study, after reviewing and studying the literature on the subject, we proceed to identify the criteria for selecting essential, agile, and resilient suppliers. The identified criteria for selecting essential suppliers include: cost, quality, lead time, collaborative relationships with suppliers, level of service and customer satisfaction, flexibility, just in time, information sharing, implementation of quality management systems, waste management, automatic inventory replenishment, and inventory management. The identified criteria for selecting agile suppliers include: production flexibility, delivery flexibility and speed, resource flexibility, market sensitivity, information sharing, reliability, responsiveness, capacity to create new production lines, process integration through IT, quality improvement, minimizing uncertainty, innovation capability, cost flexibility and reduction, trust development, reducing resistance to change, and improving after-sales services. The identified criteria for selecting resilient suppliers include: excess inventory, reliability, adaptability, multiple sourcing, collaboration and coordination, identifying vulnerable points, awareness of risks and their management, redundancy in production equipment, having a list of alternative materials, technological capability, demand-driven management, and warehouse location flexibility.
Methodology
The current study is characterized by an applied research type with a descriptive methodological approach. The nature of this research as a questionnaire-based inquiry categorizes it as a descriptive-survey study. The statistical population targeted in this investigation comprises experts and managers from the business department of the Etka organization. Data collection methods employed in this study encompass both library research for theoretical foundations and field research for practical investigations. The foundational knowledge and background were cultivated through a meticulous examination of authoritative texts and articles, aligning with the library research method. Conversely, the actual data collection process involved direct engagement with the subjects through the distribution of a questionnaire, reflecting the field research method. Upon establishing the supplier selection criteria derived from existing literature, a questionnaire was formulated to screen these criteria, which was subsequently shared with the experts at Etka organization. Through expert consultation, certain identified criteria deemed less critical for the organization were eliminated following a fuzzy screening process. Subsequently, the best and worst criteria were identified through a second questionnaire distributed among the experts. Using the rough Best-Worst Method (BWM), expert-valued criteria were quantified and prioritized within the lean, agile, and resilient frameworks. Subsequently, a final questionnaire was administered to experts, aiming to evaluate suppliers from the Etka Organization based on the weighted criteria determined in the previous stages. These supplier evaluations were quantified using Raff's numbers, supported by Raff's theory relationships. Finally, a comparative analysis was conducted to rank the selected suppliers utilizing the VIKOR method relationships. This methodological approach employed a systematic process of refining criteria, expert consultation, and quantitative analysis to effectively evaluate and rank suppliers within the organizational context of the Etka organization.
Results
The findings of this research indicate that when selecting a supplier for the Etka organization, the most critical approaches in order of importance are resilience, agility, and lastly, the lean approach. Consequently, a framework was developed for the selection of suppliers optimized for Lean, Agile, and Resilient (LAR) characteristics within this organization. The key criteria for supplier selection across lean, agile, and resilient approaches were identified as product quality criteria, trust development, and cooperation and coordination, respectively. Moreover, through a comparative analysis of the weight and significance of these criteria, it is evident that among the top five essential criteria recognized, three fall within the realm of resilience. This reaffirms the significance of prioritizing resilient suppliers in the selection process. Lastly, the research findings highlight that the Qaemshahr cannery demonstrates exemplary performance concerning Lean, Agile, and Resilient approaches.
Conclusion and Discussion
The framework devised for selecting suppliers using Lean, Agile, and Resilient (LAR) approaches offers several practical applications for the Etka organization. A comprehensive assessment of the prevailing supply conditions within the organization revealed a minimal adoption of the key criteria outlined in this research in the practical supplier selection processes at Etka. With attention to these findings, the Etka organization stands to enhance its supply chain operations within the food industry significantly by revisiting and fine-tuning its supply policies in alignment with the framework established in this study. The suggested course of action entails the organization reconsidering its supplier selection criteria to prioritize suppliers who align with the identified criteria, fostering improved operational performance. By recalibrating its supplier selection practices in accordance with the research framework, the Etka organization can strive towards optimizing its supply chain operations, enhancing efficiency, and fostering resilience in the face of challenges. Therefore, leveraging the insights gleaned from this research framework presents an opportunity for the Etka organization to refine its supplier selection strategies, bolster operational efficacy, and cultivate relationships with suppliers that align closely with the organization's objectives and requirements.

کلیدواژه‌ها [English]

  • Lean Supplier Selection
  • Agile Supplier Selection
  • Resilient Supplier Selection
  • Rough MCDM Method
  1. آذر، عادل و فرجی، حجت. (1395). علم مدیریت فازی. تهران: مؤسسه کتاب مهربان نشر.
  2. امینی، امین، علی نژاد، علیرضا و قراخانی، داود. (1402). رویکرد یکپارچه برای انتخاب تأمین‌کننده پایدار بر اساس روش بهترین‌ ـ بدترین و نظریه مجموعه‌های راف (موردمطالعه: شرکت ایران‌خودرو)، چشم‌انداز مدیریت صنعتی. 13(3), 9-38. doi: 10.48308/jimp.13.3.9
  3. ابراهیمی، سعید، چالاکی، کامیار و سلطان پناه، هیرش. (1401). انتخاب تأمین‌کنندگان پایدار با استفاده از رویکرد ترکیبی چندمعیاره راف-فازی (مطالعه موردی: شرکت گاز استان کردستان)، فصلنامه پژوهش‌های نوین در تصمیم‌گیری. 7(4), 20-49. https://dorl.net/dor/20.1001.1.24766291.1401.7.4.2.9
  4. اسماعیل‌زاده، منصور و طایفی، ستایش سادات. (1402). اولویت‌بندی شاخص‌های انتخاب تأمین‌کننده در زنجیره تأمین لارجز با استفاده از BWM در صنعت خودروسازی، فصلنامه پژوهش‌های علوم مدیریت. 5(16), 115-137.
  5. ایزدی قهفرخی، محمدعلی. (1397). تحلیلی بر معیار‌های انتخاب تأمین‌کننده در زنجیره تأمین لارج (ناب، چابک، انعطاف‌پذیر و سبز) با رویکرد تحلیل شبکه‌ای فازی (مطالعه موردی: شرکت آهن و فولاد ارفع). پایان‌نامه کارشناسی‌ارشد، دانشگاه علم و هنر یزد.
  6. توکلی، جواد. (1399). رویکردی ترکیبی برای انتخاب تأمین‌کننده پایدار، ناب و چابک در صنعت فرآورده‌های گوشتی. پایان‌نامه کارشناسی‌ارشد، موسسه آموزش عالی سبز.
  7. خواجه، مصطفی، امیری، مقصود، الفت، لعیا و زندیه، مصطفی. (1399). ارزیابی و انتخاب تامین‌کنندگان پایدار در محیط فازی شهودی با رویکرد ترکیبی چندمعیاره بهترین بدترین و ویکور. تحقیق در عملیات در کاربردهای آن، ۱۷ (۱): ۲۵-۴۸. http://dorl.net/dor/20.1001.1.22517286.2020.17.1.6.2
  8. رحیمی، اکبر، تقی زاده، قاسم و محمودآبادی، سمیرا. (1401). ارائۀ مدل ساختاری تفسیری موانع به‌کارگیری فناوری بلاکچین در زنجیرۀ تأمین صنایع غذایی. پژوهش در مدیریت تولید و عملیات، 13(1), 79-104. doi: 10.22108/jpom.2022.131836.1412
  9. علیرضایی، اسداله، ربانی، مژده، بابایی میبدی، حمید و صادقیان، ابوالفضل. (1401). ارائه چارچوبی به‌منظور انتخاب تأمین‌کننده پایدار- تاب‌آور با رویکرد فازی، فصلنامه علوم و تکنولوژی محیط‌زیست، 24(5)، 91-109. doi: 10.30495/JEST.2023.64887.5590
  10. قدیر، امیرحسین. (1401). ارائه مدل یکپارچه در راستای ارزیابی تأمین‌کنندگان بر اساس معیارهای LARS، موردمطالعه صنایع لبنی. پایان‌نامه کارشناسی‌ارشد، دانشگاه تهران.
  11. کریمی، تورج و صادقی مقدم، محمدرضا. (1394). مجموعه‌های راف و مجموعه‌های خاکستری (مبانی، کاربرد، نرم‌افزار). تهران: مؤسسه کتاب مهربان نشر.
  12. محمودی پیرنعیمی، محسن. (1400). استفاده از رویکرد تصمیم‌گیری ترکیبی فازی برای مسئله انتخاب تأمین‌کننده ناب، تاب‌آور و سبز. پایان‌نامه کارشناسی‌ارشد، دانشگاه علوم و فنون مازندران.
  13.  Afrasiabi, A., Tavana, M., & Di Caprio, D. (2022). An extended hybrid fuzzy multi-criteria decision model for sustainable and resilient supplier selection. Environmental Science and Pollution Research, 29(25), 37291-37314. https://doi.org/10.1007/s11356-021-17851-2
  14. Agarwal, A., Shankar, R., & Tiwari, M. K. (2007). Modeling agility of supply chain. Industrial marketing management, 36(4), 443-457. https://doi.org/10.1016/j.indmarman.2005.12.004
  15. Aisyah, S., Jaqin, C., & Purba, H. H. (2019, November). Identification of lean, agile, resilient, and green (larg) practices on agro industry Indonesia. In 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019) (pp. 62-69). Atlantis Press. https://doi.org/10.2991/icoemis-19.2019.10
  16. Alamroshan, F., La’li, M., & Yahyaei, M. (2022). The green-agile supplier selection problem for the medical devices: a hybrid fuzzy decision-making approach. Environmental Science and Pollution Research, 29(5), 6793-6811. https://doi.org/10.1007/s11356-021-14690-z
  17. Amiri, M., Hashemi-Tabatabaei, M., Ghahremanloo, M., Keshavarz-Ghorabaee, M., Zavadskas, E. K., & Banaitis, A. (2021). A new fuzzy BWM approach for evaluating and selecting a sustainable supplier in supply chain management. International Journal of Sustainable Development & World Ecology, 28(2), 125-142. https://doi.org/10.1080/13504509.2020.1793424
  18. Amiri, M., Hashemi-Tabatabaei, M., Ghahremanloo, M., Keshavarz-Ghorabaee, M., Zavadskas, E. K., & Salimi-Zavieh, S. G. (2022). Evaluating barriers and challenges of circular supply chains using a decision-making model based on rough sets. International Journal of Environmental Science and Technology, 1-22. https://doi.org/10.1007/s13762-021-03899-7
  19. ForouzeshNejad, A. A. (2023). Leagile and sustainable supplier selection problem in the Industry 4.0 era: a case study of the medical devices using hybrid multi-criteria decision making tool. Environmental Science and Pollution Research, 30(5), 13418-13437. https://doi.org/10.1007/s11356-022-22916-x
  20. Habibi, A., Jahantigh, F. F., & Sarafrazi, A. (2015). Fuzzy Delphi technique for forecasting and screening items. Asian Journal of Research in Business Economics and Management, 5(2), 130-143. http://dx.doi.org/10.5958/2249-7307.2015.00036.5
  21. Kazemitash, N., Fazlollahtabar, H., & Abbaspour, M. (2021). Rough best-worst method for supplier selection in biofuel companies based on green criteria. Operational Research in Engineering Sciences: Theory and Applications, 4(2), 1-12. https://doi.org/10.31181/oresta20402001k
  22. Li, Y., Diabat, A., & Lu, C. C. (2020). Leagile supplier selection in Chinese textile industries: a DEMATEL approach. Annals of Operations Research, 287, 303-322. https://doi.org/10.1007/s10479-019-03453-2
  23. Maharjan, R., & Kato, H. (2022). Resilient supply chain network design: a systematic literature review. Transport Reviews, 42(6), 739-761. https://doi.org/10.1080/01441647.2022.2080773
  24. Mohamadi Zanjiran, D., Hashemkhani Zolfani, S., & Prentkovskis, O. (2019). LARG supplier selection based on integrating house of quality, Taguchi loss function and MOPA. Economic research-Ekonomska istraživanja, 32(1), 1944-1964. https://doi.org/10.1080/1331677X.2019.1635036
  25. Mostafa, S., Dumrak, J., & Soltan, H. (2013). A framework for lean manufacturing implementation. Production & Manufacturing Research, 1(1), 44-64. https://doi.org/10.1080/21693277.2013.862159
  26. Piprani, A. Z., Aziz, A., & Ahmad, Z. (2021). Prioritizing Lean, Agile, Resilient and Green Supply Chain Practices: An Application of Analytical Hierarchy Process (AHP) in FMCG sector of Pakistan. JISR management and social sciences & economics (JISR-MSSE), 19(2), 1-16. https://doi.org/10.31384/jisrmsse/2021.19.2.1
  27. Pramanik, D., Haldar, A., Mondal, S. C., Naskar, S. K., & Ray, A. (2017). Resilient supplier selection using AHP-TOPSIS-QFD under a fuzzy environment. International journal of management science and engineering management, 12(1), 45-54. https://doi.org/10.1080/17509653.2015.1101719
  28. Rajesh, R., & Ravi, V. (2015). Supplier selection in resilient supply chains: a grey relational analysis approach. Journal of cleaner production, 86, 343-359. https://doi.org/10.1016/j.jclepro.2014.08.054
  29. Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49-57. https://doi.org/10.1016/j.omega.2014.11.009
  30. Sahu, A. K., Sharma, M., Raut, R. D., Sahu, A. K., Sahu, N. K., Antony, J., & Tortorella, G. L. (2023). Decision-making framework for supplier selection using an integrated MCDM approach in a lean-agile-resilient-green environment: evidence from Indian automotive sector. The TQM Journal, 35(4), 964-1006. https://doi.org/10.1108/TQM-12-2021-0372
  31. Sonar, H., Gunasekaran, A., Agrawal, S., & Roy, M. (2022). Role of lean, agile, resilient, green, and sustainable paradigm in supplier selection. Cleaner Logistics and Supply Chain, 4, 100059. https://doi.org/10.1016/j.clscn.2022.100059
  32. Stojić, G., Stević, Ž., Antuchevičienė, J., Pamučar, D., & Vasiljević, M. (2018). A novel rough WASPAS approach for supplier selection in a company manufacturing PVC carpentry products. Information, 9(5), 121. https://doi.org/10.3390/info9050121
  33. Torğul, B., & Paksoy, T. (2019). A new multi objective linear programming model for lean and green supplier selection with fuzzy TOPSIS. Lean and Green Supply Chain Management: Optimization Models and Algorithms, 101-141. https://doi.org/10.1007/978-3-319-97511-5_4
  34. Zhu, G. N., Hu, J., Qi, J., Gu, C. C., & Peng, Y. H. (2015). An integrated AHP and VIKOR for design concept evaluation based on rough number. Advanced Engineering Informatics, 29(3), 408-418. https://doi.org/10.1016/j.aei.2015.01.010