مسأله مکان یابی- پوشش حداکثری نمایندگی های عاملِ روغن موتورِ خودرو تولیدیِ شرکتِ نفتِ پارس
محورهای موضوعی :
مدیریت صنعتی
saeid edris ameri
1
(
M.Sc. Student. Department of Industrial Engineering, Faculty of Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran.
)
Isa Nakhaei Kamalabadi
2
(
Professor, Department of Industrial Engineering, Faculty of Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran.
)
Masoomeh Zeinalnezhad
3
(
Assistant Professor, Department of Industrial Engineering, Faculty of Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran.
)
تاریخ دریافت : 1400/09/03
تاریخ پذیرش : 1401/03/05
تاریخ انتشار : 1401/04/28
کلید واژه:
روغن موتورخودرو,
تصمیم‌گیری چند شاخصه,
آزمون و ارزیابی تصمیم‌گیری,
مکانیابی- پوشش حداکثری,
فرآیند تحلیل شبکه,
چکیده مقاله :
رقابت در حوزه شناسائی و توزیع محصولات، نگاه صنعت تولید روغن خودرو را تا حد زیادی به راهبردهای کوتاه مدت محدود کرده است. مدل های مکانیابی به جهت تاثیر بارز و اهمیت فراوان در کاستن از هزینه ها در حوزه تاسیس و راه اندازی تاسیسات تولیدی و توزیع، مورد استقبال صاحبان صنایع، مهندسین و محققین حوزه های مربوطه قرار گرفته است. از طرف دیگر به لحاظ ظرفیت پوشش جغرافیائی درحوزه توزیع این محصولات که سراسر کشور را پوشش می دهد، تاکنون تحقیقات کمی نسبت به درجه نفوذ هر محصول صورت پذیرفته است. مسئله مکانیابی پوشش حداکثری جهت پاسخگویی به کل تقاضای مشتریان و پاسخ به حداکثر برآورده سازی تقاضای مشتریان با استفاده از تسهیلات موجود منجر به افزایش منافع و سود نهائی می گردد. با توجه به این موضوع در این پژوهش اقدام به استفاده از مسئله مکانیابی- پوشش حداکثری(MCLP) جهت توزیع گسترده تر روغن خودرو در گستره جغرافیایی ایران نمودیم. لذا جهت حل مسئله مکانیابی-پوشش حداکثری از تصمیم گیری چند شاخصه (MODM) با در نظر گرفتن شاخص های کمی و کیفی بعنوان معیارهای ارزیابی استفاده شده است. فرآیند تحلیل شبکه (ANP) روشی نسبتا کارا جهت استفاده از روابط متقابل شاخص ها به طور سیستماتیک می باشد. در این راستا از روش آزمون و ارزیابی تصمیم گیری (DEMATEL) جهت تبدیل روابط علت و معلولی میان شاخص ها و تشخیص وابستگی های داخلی درون مجموعه شاخص ها استفاده گردیده است. در نهایت با توجه به داده های واقعی نمایندگی های با اولویت در استان ها تعیین گردیده است.
چکیده انگلیسی:
Competition in product identification and distribution has largely limited the automotive oil industry to short-term strategies. Location models have been welcomed by industry owners, engineers and researchers in the relevant fields due to their obvious impact and great importance in reducing costs in the field of establishment and operation of production and distribution facilities. On the other hand, in terms of geographical coverage capacity in the field of distribution of these products, which covers the whole country, so far little research has been done on the degree of penetration of each product. The problem of locating maximum coverage to meet the total demand of customers and responding to the maximum satisfaction of customer demand using the existing facilities leads to an increase in benefits and ultimate profit. Due to this issue, in this study, we used the location-maximum coverage (MCLP) problem for a wider distribution of car oil in the geographical area of Iran. Therefore, in order to solve the problem of maximum location-coverage, multi-criteria decision making (MODM) has been used by considering quantitative and qualitative indicators as evaluation criteria. Network Analysis Process (ANP) is a relatively efficient way to use the interrelationships of indicators systematically. In this regard, the test and decision evaluation method (DEMATEL) has been used to convert cause and effect relationships between indicators and identify internal dependencies within the set of indicators. Finally, according to the real data, priority agencies have been determined in the provinces.
منابع و مأخذ:
Abbasi A, GHalandari H, Nakhai . (2015). Model for Traceability and Identification of products in Supply Chain. Iranian Journal Of Supply Chain Management, 17(47). 70-83. (in persian).
Agha Ebrahimi Samani, B., & Makouei, A., & Sadr Lahijani, M. (2009). Evaluation Of Challenges Faced By Iranian Companies In Oil And Gas Projects Based On The Dematel Method. Industrial Engineering & Management Sharif (Sharif: Engineering), 24(45), 121-129. (in persian).
Arabani, A. B., & Farahani, R. Z. (2012). Facility location dynamics: An overview of classifications and applications. Computers & Industrial Engineering, 62(1), 408-420.
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Bahrami, I., Ahari, R. M., & Asadpour, M. (2020). A maximal covering facility location model for emergency services within an M (t)/M/m/m queuing system. Journal of Modelling in Management.
Farahani, R. Z., Asgari, N., Heidari, N., Hosseininia, M., & Goh, M. (2012). Covering problems in facility location: A review. Computers & Industrial Engineering, 62(1), 368-407.
Imanparast, M., & Kiani, V. (2021). A practical heuristic for maximum coverage in large-scale continuous location problem. Journal of Mathematical Modeling, 1-18.
Lee, W. S., Huang, A. Y., Chang, Y. Y., & Cheng, C. M. (2011). Analysis of decision making factors for equity investment by DEMATEL and Analytic Network Process. Expert Systems with Applications, 38(7), 8375-8383.
Li, C., Zhang, L., Ou, Z., Wang, Q., Zhou, D., & Ma, J. (2022). Robust model of electric vehicle charging station location considering renewable energy and storage equipment. Energy, 238, 121713.
Li, M., Wang, F., Kwan, M. P., Chen, J., & Wang, J. (2022). Equalizing the spatial accessibility of emergency medical services in Shanghai: A trade-off perspective. Computers, Environment and Urban Systems, 92, 101745.
Liou, J. J., Tzeng, G. H., & Chang, H. C. (2007). Airline safety measurement using a hybrid model. Journal of air transport management, 13(4), 243-249.
Rohaninejad, M., & Amiri, A., & Bashiri, M. (2015). Heuristic Methods Based On MINLP Formulation For Reliable Capacitated Facility Location Problems. International Journal Of Industrial Engineering And Production Research (IJIE), 26(3), 229-246.
Saaty T, (1980(. The analytic hierarchy process (AHP) for decision making. InKobe, Japan, 1-69.
Saaty, T. L. (1996). Decision making with dependence and feedback: The analytic network process (Vol. 4922, No. 2). Pittsburgh: RWS publications.
Schilling, D. A. (1993). A review of covering problems in facility location. Location Science, 1, 25-55.
Tirkolaee, E. B., Mardani, A., Dashtian, Z., Soltani, M., & Weber, G. W. (2020). A novel hybrid method using fuzzy decision making and multi-objective programming for sustainable-reliable supplier selection in two-echelon supply chain design. Journal of Cleaner Production, 250, 119517.
Toregas, C., Swain, R., ReVelle, C., & Bergman, L. (1971). The location of emergency service facilities. Operations research, 19(6), 1363-1373.
Tripathi, G., Tanksale, A. N., & Verma, M. (2022). Optimal location of accident relief facilities in a railway network. Safety science, 146, 105560.
Wolfslehner, B., Vacik, H., & Lexer, M. J. (2005). Application of the analytic network process in multi-criteria analysis of sustainable forest management. Forest ecology and management, 207(1-2), 157-170.
Wu, H. H., Shieh, J. I., Li, Y., & Chen, H. K. (2010). A combination of AHP and DEMATEL in evaluating the criteria of employment service outreach program personnel. Information Technology Journal, 9(3), 569-575.
Yang, J. L., & Tzeng, G. H. (2011). An integrated MCDM technique combined with DEMATEL for a novel cluster-weighted with ANP method. Expert Systems with Applications, 38(3), 1417-1424.
Zakeri, S., Chatterjee, P., Cheikhrouhou, N., & Konstantas, D. (2022). Ranking based on optimal points and win-loss-draw multi-criteria decision-making with application to supplier evaluation problem. Expert Systems with Applications, 191, 116258.
Zebardast, E. (2010). The application of analytic network process (ANP) in urban and regional planning. Honar-Ha-Ye-Ziba: Memary Va Shahrsazi, 2(41), 79-90. (in persian).
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Abbasi A, GHalandari H, Nakhai . (2015). Model for Traceability and Identification of products in Supply Chain. Iranian Journal Of Supply Chain Management, 17(47). 70-83. (in persian).
Agha Ebrahimi Samani, B., & Makouei, A., & Sadr Lahijani, M. (2009). Evaluation Of Challenges Faced By Iranian Companies In Oil And Gas Projects Based On The Dematel Method. Industrial Engineering & Management Sharif (Sharif: Engineering), 24(45), 121-129. (in persian).
Arabani, A. B., & Farahani, R. Z. (2012). Facility location dynamics: An overview of classifications and applications. Computers & Industrial Engineering, 62(1), 408-420.
Asgharpour, M. J. (2004). Multiobjective decision making. Tehran, University of Tehran press (UTP), 456. (in persian).
Bahrami, I., Ahari, R. M., & Asadpour, M. (2020). A maximal covering facility location model for emergency services within an M (t)/M/m/m queuing system. Journal of Modelling in Management.
Farahani, R. Z., Asgari, N., Heidari, N., Hosseininia, M., & Goh, M. (2012). Covering problems in facility location: A review. Computers & Industrial Engineering, 62(1), 368-407.
Imanparast, M., & Kiani, V. (2021). A practical heuristic for maximum coverage in large-scale continuous location problem. Journal of Mathematical Modeling, 1-18.
Lee, W. S., Huang, A. Y., Chang, Y. Y., & Cheng, C. M. (2011). Analysis of decision making factors for equity investment by DEMATEL and Analytic Network Process. Expert Systems with Applications, 38(7), 8375-8383.
Li, C., Zhang, L., Ou, Z., Wang, Q., Zhou, D., & Ma, J. (2022). Robust model of electric vehicle charging station location considering renewable energy and storage equipment. Energy, 238, 121713.
Li, M., Wang, F., Kwan, M. P., Chen, J., & Wang, J. (2022). Equalizing the spatial accessibility of emergency medical services in Shanghai: A trade-off perspective. Computers, Environment and Urban Systems, 92, 101745.
Liou, J. J., Tzeng, G. H., & Chang, H. C. (2007). Airline safety measurement using a hybrid model. Journal of air transport management, 13(4), 243-249.
Rohaninejad, M., & Amiri, A., & Bashiri, M. (2015). Heuristic Methods Based On MINLP Formulation For Reliable Capacitated Facility Location Problems. International Journal Of Industrial Engineering And Production Research (IJIE), 26(3), 229-246.
Saaty T, (1980(. The analytic hierarchy process (AHP) for decision making. InKobe, Japan, 1-69.
Saaty, T. L. (1996). Decision making with dependence and feedback: The analytic network process (Vol. 4922, No. 2). Pittsburgh: RWS publications.
Schilling, D. A. (1993). A review of covering problems in facility location. Location Science, 1, 25-55.
Tirkolaee, E. B., Mardani, A., Dashtian, Z., Soltani, M., & Weber, G. W. (2020). A novel hybrid method using fuzzy decision making and multi-objective programming for sustainable-reliable supplier selection in two-echelon supply chain design. Journal of Cleaner Production, 250, 119517.
Toregas, C., Swain, R., ReVelle, C., & Bergman, L. (1971). The location of emergency service facilities. Operations research, 19(6), 1363-1373.
Tripathi, G., Tanksale, A. N., & Verma, M. (2022). Optimal location of accident relief facilities in a railway network. Safety science, 146, 105560.
Wolfslehner, B., Vacik, H., & Lexer, M. J. (2005). Application of the analytic network process in multi-criteria analysis of sustainable forest management. Forest ecology and management, 207(1-2), 157-170.
Wu, H. H., Shieh, J. I., Li, Y., & Chen, H. K. (2010). A combination of AHP and DEMATEL in evaluating the criteria of employment service outreach program personnel. Information Technology Journal, 9(3), 569-575.
Yang, J. L., & Tzeng, G. H. (2011). An integrated MCDM technique combined with DEMATEL for a novel cluster-weighted with ANP method. Expert Systems with Applications, 38(3), 1417-1424.
Zakeri, S., Chatterjee, P., Cheikhrouhou, N., & Konstantas, D. (2022). Ranking based on optimal points and win-loss-draw multi-criteria decision-making with application to supplier evaluation problem. Expert Systems with Applications, 191, 116258.
Zebardast, E. (2010). The application of analytic network process (ANP) in urban and regional planning. Honar-Ha-Ye-Ziba: Memary Va Shahrsazi, 2(41), 79-90. (in persian).
