شناسایی و رتبه بندی بنگاه های اقتصادی حمل و نقلی بر اساس شاخص های ارزیابی عملکرد با استفاده از روش مولتی مورا
الموضوعات :gholam reza einy sarkalleh 1 , hosien MAHMODY 2 , Hossien Afzali 3 , MOSTEFA REZVANY DOST 4 , hafez ashkan 5
1 - exper
2 - مدیر کل
3 - Researcher at the institute for Trade Student and Research (ITSR)
4 - STUDENT
5 - هیئت علمی
الکلمات المفتاحية: تصمیم گیری چند معیاره, حمل و نقل, بنگاههای اقتصادی, تصمیم گیری گروهی,
ملخص المقالة :
امروزه صنعت حمل و نقل در کشور پیشرفت روز افزون داشته و در عین حال هزینه های عملیاتی زیادی را به خود اختصاص داده است. شناسایی و ارزیابی عملکرد بنگاههای اقتصادی و در نهایت بازخور و تحلیل شاخص های ارزیابی یکی از موضوعات اساسی در صنعت حمل و نقل می باشد. در این تحقیق با استفاده از تکنیک های تصمیم گیری چند معیاره و روش خبرگی (دلفی) به شناسایی شاخص های تاثیر گذار در عملکرد یک بنگاه اقتصادی حمل و نقلی پرداخته و سپس با استفاده از روش تصمیم گیری مولتی مورا که یکی از روش های نوین در تصمیم گیری چند معیاره می باشد و با در نظر گرفتن معیارهای تعیین شده، اولویت بندی و رتبه بندی بین شاخص های عملکردی پیشنهادی صورت می پذیرد. مقاله حاضر علاوه بر شناسایی شاخص های تاثیرگذار در ارزیابی عملکرد بنگاه های اقتصادی حمل و نقلی به مطالعه موردی در خصوص پنج شرکت حمل و نقلی و رتبه بندی آن، به تشریح گام های روش مولتی مورا و نیز پرداخته شده است.
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- Karimzadeh, R. (2008). Selection of favorable projects in transport companies using Bernardo's decision-making method. Journal of Transportation, 4(4), 329-338.
- Leonidovna Zaytseva, A., Anatol'yevna Menukhova, T. (2016). On the Issue of the Innovation Policy at the Road Transport Enterprises, 11(4), 2206-2211.
- Rajak, S., Parthiban, P., Dhanalakshmi, R. (2016). Sustainable transportation systems performance evaluation using fuzzy logic, 503-513.
- Skrypnikov, A., Dorokhin, S., Kozlov, V. G., Chernyshova, E. V. (2017). Mathematical Model of Statistical Identification of Car Transport Informational Provision, 12, (2).
- Sun, J., Yuan, Y., Yang, R., Ji, X., Wu, J. (2018). Performance evaluation of Chinese port enterprises under significant environmental concerns: An extended DEA-based analysis, 75-86.
- Thokala, P., Devlin, N., Marsh, K., Stuart Peacock, S. (2016). Multiple Criteria Decision Analysis for Health Care Decision Making an Introduction: Report 1 of the ISPOR MCDA Emerging Good Practices Task Force, 1–13.
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- Arzu Akyuz, G., Erman Erkan, T., Mahallesi, K. (2010). Supply chain performance measurement: a literature review, 5137–5155.
- Bergquist, K., Fink, C., Raffo, J. (2017). Identifying and ranking the world’s largest clusters of inventive activity, No. 34.
- Biswas, P., Pramanik, S., Giri, B. (2015). TOPSIS method for multi-attribute group decision-making under single-valued neutrosophic environment.
- Carvalho, L., Meier, S., W. Wang, S. (2016). Poverty and Economic Decision-Making: Evidence from Changes in Financial Resources at Payday, 260-84.
- Einy Sarkalleh, Gholam Reza, Afzali, Hossien, Khademy Nejad, Mojtba, Miandoabchi, Elnaz. (2017). Proposing a New Genetic Algorithm Multi-capacity to Solve the Multi-Storage Routing problem with Multi-capacity Vehicles. Journal of Industrial Management, 12(42), 87-98.
- Evaluating Significance of Green Manufacturing Enablers Using MOORA Method for Indian Manufacturing Sector, 303-314.
- FHWA/FTA. (1993). U.S. Department of Transportation. Metropolitan Planning Process: Major Metropolitan Transportation Investments, Federal Register, Part II,
- Guerra, E., de Lara, A., Malizia, Díaz, P. (2009). MULTICRITERIA DECISION MAKING: Advances in MCDM Models, Algorithms, Theory, and Applications, 51(4).
- Gunasekaran, A., Kobu, B. (2007). Performance measures and metrics in logistics and supply chain management: a review of recent literature (1995–2004) for research and applications.
- Gunasekaran, A., Patel, C., Tirtiroglu, E. (2016). Performance measures and metrics in a supply chain environment, 71 - 87.
- Hafezalkotob, A. Hafezalkotob, A. (2015). Comprehensive MULTIMOORA method with target-based attributes and integrated significant coefficients for materials selection in biomedical applications, Mater. Dec., 87, 949–959.
- Hafezalkotob, A., Hafezalkotob, A. (2015). Extended MULTIMOORA method based on Shannon entropy weight for materials selection, Journal of Ind. Eng. Int., 12(1), 1–13.
- Karimzadeh, R. (2008). Selection of favorable projects in transport companies using Bernardo's decision-making method. Journal of Transportation, 4(4), 329-338.
- Leonidovna Zaytseva, A., Anatol'yevna Menukhova, T. (2016). On the Issue of the Innovation Policy at the Road Transport Enterprises, 11(4), 2206-2211.
- Rajak, S., Parthiban, P., Dhanalakshmi, R. (2016). Sustainable transportation systems performance evaluation using fuzzy logic, 503-513.
- Skrypnikov, A., Dorokhin, S., Kozlov, V. G., Chernyshova, E. V. (2017). Mathematical Model of Statistical Identification of Car Transport Informational Provision, 12, (2).
- Sun, J., Yuan, Y., Yang, R., Ji, X., Wu, J. (2018). Performance evaluation of Chinese port enterprises under significant environmental concerns: An extended DEA-based analysis, 75-86.
- Thokala, P., Devlin, N., Marsh, K., Stuart Peacock, S. (2016). Multiple Criteria Decision Analysis for Health Care Decision Making an Introduction: Report 1 of the ISPOR MCDA Emerging Good Practices Task Force, 1–13.
- Wang, J., Wu, J., Wang, J., Zhang, H., Chen, X. (2015). TOPSIS method for multi-attribute group decision-making, under single-valued neutrosophic environment.
