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  • طراحی مدلی جهت مکان یابی ایستگاه های گاز با در نظر گرفتن ابعاد توسعه پایدار و فنون برنامه ریزی آرمانی خطی و مشابهت فازی

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کد مقاله : JEST-1607-2843 (R1) بازدید : 167 صفحه: 347 - 358

10.22034/jest.2018.19587.2843

نوع مقاله: پژوهشی

طراحی مدلی جهت مکان یابی ایستگاه های گاز با در نظر گرفتن ابعاد توسعه پایدار و فنون برنامه ریزی آرمانی خطی و مشابهت فازی

محورهای موضوعی : توسعه پایدار

محمد رضا فتحی 1 , محمد حسن ملکی 2

1 - استادیار، دانشکده مدیریت و حسابداری، پردیس فارابی دانشگاه تهران، قم، ایران.* (مسوول مکاتبات)
2 - استادیار، گروه مدیریت دانشکده مدیریت و اقتصاد، دانشگاه قم، قم، ایران.

تاریخ دریافت : 1395/04/29 تاریخ پذیرش : 1395/06/27 تاریخ انتشار : 1399/02/01

کلید واژه: تکنیک مشابهت فازی, توسعه پایدار, تکنیک برنامه ریزی آرمانی خطی, مکان یابی,

چکیده مقاله :

زمینه و هدف: تصمیم گیری درباره مکان استقرار، یکی از اساسی ترین تصمیمات سازمان ها به شمار می رود که می تواند در جهت گیری های استراتژیک سازمان نقشی اساسی ایفا نماید و سوداوری سازمان را در بلند مدت تحت تاثیر قرار دهد. این تحقیق با هدف ارایه الگو و مدلی جهت مکان یابی ایستگاه های گاز در شرگت گاز قم با در نظر گرفتن ابعاد توسعه پایدار انجام گرفته است. روش بررسی: محقق از طریق مطالعات کتابخانه ای و مصاحبه با کارشناسان و خبرگان شرکت گاز و تهیه پرسش نامه به شناسایی عوامل موثر با در نظر گرفتن ابعاد توسعه پایدار در این رابطه پرداخته است.در این تحقیق از دو تکنیک برنامه ریزی آرمانی خطی جهت تعیین وزن معیارها و روش مشابهت فازی جهت رتبه بندی گزینه ها استفاده شده است. یافته ها: معیارها و عوامل تاثیر گذار در مکان یابی ایستگاه های گاز شرکت گاز استان قم، شامل بعد اقتصادی هزینه احداث، نزدیکی به خطوط پر فشار گاز، سهولت دسترسی در مواقع بحرانی، قرار گرفتن ایستگاه در خیابان های عریض جهت عبور شبکه، بعد زیست محیطی شامل فاصله از مناطق مسکونی به دلیل ایجاد آلودگی صوتی، آلودگی زیست محیطی ایجاد شده و بعد اجتماعی شامل امنیت ایستگاه می باشد. در این تحقیق با انجام مقایسات زوجی فازی بین عوامل و با استفاده از برنامه ریزی آرمانی خطی، وزن این معیارها تعیین گردید. به علاوه تکنیک مشابهت فازی به عنوان یک روش نوین تصمیم‌گیری چند شاخصه، به منظور رتبه‌بندی گزینه ها استفاده شده است. بحث و نتیجه گیری: براساس نتایج بدست آمده از روش مشابهت فازی و شاخص عملکرد کلی، گزینه A5 به عنوان بهترین گزینه انتخاب شده است.

چکیده انگلیسی:

Abstract Background and Objective: Decision making about location is considered as one of the most fundamental decisions of organizations that can play a major role in the organization's strategic orientation and profitability in the long term. This study aimed at providing a new model for locating gas stations. Criteria and factors affecting site selection of Qom Gas Company gas stations were based on Dimensions of Sustainable Development. Method: Researcher through literature review and interviews with experts of Gas Company and preparing a questionnaire to identify the factors taking into consideration the dimensions of sustainable development. In this study, two linear goal programming techniques to determine the weighting of criteria and fuzzy similarity methods for ranking alternatives are used. Findings: Criteria were included the economic cost of construction, proximity to the high-pressure gas lines, easy access in times of crisis, to cross the boulevards of the station in the network, including the environmental dimension distance from residential areas due to noise pollution, pollution in the environment and the social dimension of the security station. In this study paired comparisons carried out by fuzzy goal programming. In addition, fuzzy based similarity technique as a new method of fuzzy multi-criteria decision-making, in order to rank the options used. Discussion and Conclusion: According to the results of fuzzy similarity, A5 has been chosen as the best option.  

منابع و مأخذ:


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_||_

  1. Guneri, A.F., Cengiz, M. and Seker, S. (2009). A Fuzzy ANP approach to shipyard location selection, Expert system with application, Vol. 36, pp 213-224.
    2.
  2. Coyle, J.J., Bardi. E.J and Langley. C.J. (2003). The management of business logistic” A Supply chain perspective, seventh ed, Thomson South Western.
    3.
  3. Azvaji, A., Kermani, M. (2001). Modeling of the establishment of aluminum industry in Iran, Modares Journal, No. 19, p. 21. ( in Persian)
    4.
  4. Bozbura, F., & Beskese, A. (2007). Prioritization of organizational capital measurement indicators using fuzzy AHP, International Journal of Approximate Reasoning, 44, 124–147.
    5.
  5. Baygi, M., Zolfani, S., Rezaeiniya, N., & Aghdaie, M. (2011). Using Fuzzy AHP to Develop Intellectual Capital Evaluation Model in Hotel Industry, European Journal of Scientific Research, 59 (2), 170-178.
    6.
  6. Lee, S.-H. (2010). Using fuzzy AHP to develop intellectual capital evaluation model for assessing their performance contribution in a university, Expert Systems with Applications, 37, 4941–4947.
    7.
  7. Tai, W.S., & Chen, C.T. (2009). A new evaluation model for intellectual capital based on computing with linguistic variable, Expert Systems with Applications, 36, 3483–3488.
    8.
  8. Deng, H. (2007). A Similarity-Based Approach to Ranking Multicriteria Alternatives, ICIC 2007, LNAI 4682,Springer-Verlag, Berlin Heidelberg, 253-262.
    9.
  9. Puladez, M. (1997) Location Selection and Efficiency of Industrial, Tehran, Bonyad Publishing. (In Persian)
    10.
  10. Sadeghi, Sh. (2008), optimal placement of distribution centers in Taliya's marketing process using mathematical methods, Master thesis, University of Tehran. (In Persian)
    11.
  11. Mehrabhi, A. (2001), Location Selection of Industries Using Multi-Criteria Decision Making at the Power Plant, Thesis, University of Tehran. (In Persian)
    12.
  12. Entezari, A. (2004), Planning of Industrial Units, Tehran, Jam e Jam Publication, Imam Hossein University.
    13.
  13. Forghani, A, Yazdanshenas, N, Akhundi, A. (2007), Providing a Framework for Industrial Locations at the National Level, with Case Study, Management Knowledge, No. 77, p. 24. (In Persian)
    14.
  14. Finch, B.J., (2003),Operation prices (Value and Profitability), McGrave- Hill, New York.
    15.
  15. Shamsaee Fard, Kh. (2003), Location Selection of sanitary landfill site of municipal solid waste using GIS. Case study of Borujerd city, Master's thesis, Tehran, Tarbiat Moalem University. (In Persian)
    16.
  16. Safari, H., Faghih, A and Fathi, M.R., (2012), Fuzzy multi-criteria decision making method for facility location selection”, African Journal of Business Management, Vol. 6(1), pp. 206-212.
    17.
  17. Zanjirani, R., and Asgari, N., (2007), Combination of MCDM and covering techniques in a hierarchical model foe facility location: A case study”, European journal of Operation Research, Vol. 176, pp. 1839- 1858.
    18.
  18. Kuo, M.S., (2011), optimal location selection for an international distribution center by using a new hybrid method, Expert system with application, Vol. 38, pp. 7208-7221.
    19.
  19. Momeni, M., Fathi, M.R., and Kashef, M., (2011), A fuzzy VIKOR approach for plant location selection, Journal of American Science, 7(9), pp. 766-771.
    20.
  20. Momeni, M. (2006), New Issues in Operations Research, Tehran University, , Faculty of Management. (In Persian)
    21.
  21. Momeni, M. (2010), New Issues in Research in Operations, Tehran, Momeni Publishing. ( in Persian)
    22.
  22. Khorshid, S, Taslimi, M. S (2012). Ranking of Kerman State Banks Based on Social Capital Level Using Multi-Purpose Decision-Making Techniques, Management of Organizational Culture, Vol 10, No 2, pp. 58-29. ( in Persian)
    23.
  23. Hwang, C. & Yoon, K. (1981). Multiple Attribute Decision Making: Theory and Applications, Springer-Verlag, New York.
    24.
  24. Chen, S. & Hwang, C. (1992). Fuzzy Multiple Attribute Decision Making: Methods and applications, Springer-Verlag, New York.
    25.




 



 




 



 

 

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