رتبه بندی شرکت‌های برون‌سپار دفع پسماندهای بیمارستانی با روش ترکیبی جدید تصمیم گیری چند معیاره فازی و خاکستری

نوع مقاله : مقاله پژوهشی

نویسنده

استادیار، گروه مدیریت صنعتی، واحد تهران جنوب، دانشگاه آزاد اسلامی، تهران

چکیده

DOR : 20.1001.1.24766291.1399.5.1.1.2
تضمین دفع صحیح پسماندهای بیمارستانی به چالش بزرگی برای مدیریت پسماند بیمارستان‌ها تبدیل شده است که برون‌سپاری شدن فرآیند دفع پسماند می‌تواند گزینه‌ی مناسب باشد. هدف این تحقیق انتخاب شرکت برای برون‌سپاری دفع پسماندها در بیمارستان ها برای کمک به تصمیم‌گیری صحیح مدیران می‌باشد. پژوهش حاضر از لحاظ هدف، کاربردی و روش انجام توصیفی-اکتشافی است. جامعه تحقیق خبرگان وزارت بهداشت، درمان و آموزش پزشکی به تعداد 10 نفر است. با مروری بر ادبیات نظری تحقیق مهم‌ترین معیارها شناسایی و با نظر خبرگان و روش دلفی فازی غربالگری شدند. سپس از روش ترکیبی جدید فرآیند تحلیل شبکه‌ای بر اساس دیمتل فازی برای تعیین روابط و اثرگذاری و اثرپذیری و وزن‌دهی معیارها و از روش تحلیل رابطه خاکستری اصلاح‌شده برای رتبه‌بندی شرکت‌های دفع پسماند های بیمارستانی استفاده شده است. نتایج تجزیه‌و‌تحلیل داده‌های جمع‌آوری شده از طریق پرسش‌نامه و حل به روش دیمتل نشان داد که معیار «مالی» تاثیرگذارترین و «قابلیت خدمات» تاثیرپذیرترین معیار کلیدی موفقیت در فرآیند برون‌سپاری است. زیرمعیار «پاسخگویی در خدمات» بیشترین وزن و اولویت اول را دارد.

کلیدواژه‌ها


عنوان مقاله [English]

Ranking of hospital waste disposal outsourcing companies with the new fuzzy multiple criteria decision-making hybrid method and grey.

نویسنده [English]

  • Mahmoud Modiri
Assistant Professor, Department of Industrial Management, South Tehran Branch, Islamic Azad University, Tehran
چکیده [English]

Ensuring the disposal of hospital waste is a major challenge for hospital waste management. the outsourcing process waste disposal can be a good alternative. The aim of this study is to select a company to outsourcing waste disposal to the hospital To help right decision making for managers. The research in terms of purpose is applied and the way of doing is descriptive-exploratory. The research community of Ministry of Health and Medical Education experts is about 10 people. By reviewing the theoretical literature, the most important criteria were identifing an screened by experts and Fuzzy Delphi method. Then The combined method of analytical network process based on fuzzy DEMATEL was used to determine the relationships and weights of the criteria, and the modified Grey Relational Analysis method was used to rank the companies. The results of analyzing the data collected through questionnaire and DEMATEL method showed that "financial" criteria is influencing and "serviceability" influenced for success in the outsourcing process. The "service accountability" sub-criterion has the highest weight and the first priority.

کلیدواژه‌ها [English]

  • waste disposal
  • Outsourcing
  • DEMATEL
  • Analytical Network Process
  • modified Grey Relational Analysis
[1]     Jaafari, J., Dehghani, M.H., Hoseini, M. & Safari, G.H. Investigation of hospital solid waste management in IRAN. World Review of Science, Technology and Sust, 12(2), 2015, 111-125.
[2]     Almuneef, M. & Memish, Z.A, Effective medical waste management: it can be done. American Journal of Infection Control, 31(3), 2003, 188–192.
[3]     Thakur, V. &  Ramesh, A., Selection of waste disposal firms using grey theory based multi-criteria decision making technique. Procedia - Social and Behavioral Sciences, 189, 2015, 81-90.
[4]     4 . Zazouli, M. &  Bagheri Ardebilian, M. Survey of hospital waste management, case study: State hospitals of ARDABIL city. Journal of Health, 1(2), 2010, 24-34.
[5]     Hsu, P.F., Wu, C.R. &  Li, Y.T.  Selection of infectious medical waste disposal firms by using the analytic hierarchy process and sensitivity analysis. Waste Management, 28(8), 2008, 1386–1394.
[6]     Marinkovic, N., Vitale, K., Holcer, N.J., Dzˇakula, A. & Pavic´, T.  Management of hazardous medical waste in Croatia. Waste Management, 28, 2008, 1049 1056.
[7]     Buyukozkan, G. & Gocer, F. Selection of medical waste logistic firms by using AHP-TOPSIS methodology. International Journal of Biology and Biomedicine, 1, 2016, 14-18.
[8]     Ho, C.C. Optimal evaluation of infectious medical waste disposal using the fuzzy analytic hierarchy process. Waste Management, 31(7), 2001, 1553-1562.
[9]     Pan, T.Y. and Chen, J.L.  A study on the treatment of the medical wastes. Chia Nan Annual Bulletin, 23, 1997, 96–107.
[10]  Fu, S.Q., Manage of medical waste. Bimonthly Journal of Research and Evaluation, 1998. 22(5): p. 100–104.
[11]  Gu, Y.J. &  Pan, J.C. The Question of the infectious waste and management countermeasure. Highlight of Industrial Pollution Control, 135(12), 1999,  138–151.
[12]  12. Chen, Y.R. Discussion of medical and industrial waste treatment policy. Chinese Journal of Public Health, 19(4), 2000, 303–308.
[13]   Yang, C.Y., Chen, R.F., Ye, Q.H. &  Zeng, D.W. Solve the method of medical waste effectively. Taiwan Medical Journal, 45(7), 2002, 55–56.
[14]   Hsiao, K.W., Yang, Y.C., Hong, J.J., Tam, S.C. & Tan, C.H. A study of the disposal ways and fees of medical waste in Taiwan hospitals. Journal of Healthcare Management, 5(1), 2004, 79–100.
[15]   Kaya, I. Evaluation of outsourcing alternatives under fuzzy environment for waste management. Resources, Conservation and Recycling, 60, 2012, 107– 118.
[16]   Hsu, C.C., Liou, J.J. & Chuang, Y.C. Integrating DANP and modified grey relation theory for the selection of an outsourcing provider. Expert Systems with Applications, 40, 2013, 2297–2304.
[17]   Yeh, T. M., & Huang, Y. L. Factors in determining wind farm location: Integrating GQM, fuzzy DEMATEL, and ANP. Renewable Energy, 66, 2014, 159-169.
[18]   Zavadskas, E.K., Arefi, S.L., Zolfani, S. & Bitarafan, M. Evaluating the construction methods of cold-formed steel structures in reconstructing the areas damaged in natural crises, using the methods AHP and COPRAS-G. Archives of Civil and Mechanical Engineering, 12(3), 2012, 360-367.
[19]   Valipour Khatir, M., kianifar, F., & dowlati, A. Analysing the structural relationships of influential factors on Effectiveness of selecting ERP system. Modern Research in Decision Making, 3(1), 2018, 299-323.
[20]   parsaei, M., & nili ahmadabadi, M. Prioritizing Maintenance Strategies with a Combination Approach DEMATEL-ANP-COPRAS in Auto Parts Manufacturing Industry Case Study: Milad Company of Qom. Modern Research in Decision Making, 2(1), 2017, 29-50.
[21]   Safaei Ghadikolaei, A. S. G., Tabibi, M. T., & Hajiabadi, F. H. Fuzzy ANP-DEMATEL Combined Approach to Prioritize Green Supplier Performance Assessment Criteria: Iran Heavy Diesel Company. IQBQ. 17 (3), 2013, 129-149
[22]   Khatami Firouzabadi, S. A., Vafadar Nikjoo, A., & Shahabi, A. Determining most significant project risk's categories with considering causal relations between them in the fuzzy environment. IQBQ. 17 (3), 2013, 49-69.
[23]   Jeng, D. G., &  Tzeng, G-H. Social Influence on the Use of Clinical Decision Support Systems: Revisiting the Unified Theory of Acceptance and Use of Technology by the Fuzzy DEMATEL Technique. Computers & Industrial Engineering, 62(3), 2012, 819-828.
[24]   Wang, F. K., Hsu, C. H., & Tzeng, G. H. The best vendor selection for conducting the recycled material based on a hybrid MCDM model combining DANP with VIKOR. Resources. Conservation and Recycling, 66, 2012, 95– 111.
[25]   Hashemkhani Zolfani, S., Rezaeiniya, N., Zavadskas, E.K. & Turskis, Z. Forest roads locating based on AHP-COPRAS-G methods—an empirical study based on Iran. Economics and Management, 14 (4), 2011, 6–21.
[26]   Zavadskas, E.K., Kaklauskas, A.,  Turskis, Z., Tamosaitiene, J. & Kalibatas, D. Assessment of the indoor environment of dwelling houses by applying the COPRAS-G method : Lithuania case study. Environmental Engineering and Management Journal, 10 (5), 2011, 637–647.
[27]   Liou, J., Tamošaitienė, J., K. Zavadskas, E., & Tzeng, G. H. New hybrid COPRAS-G MADM Model for improving and selecting suppliers in green supply chain management. International Journal of Production Research, 24(1), 2015, 114-134.