مدل‌سازی سیستم استنتاج فازی برای ارزیابی ریسک‎های بالقوه در تجهیزات پزشکی

نوع مقاله: مقاله علمی پژوهشی

نویسندگان

1 استادیار گروه مدیریت صنعتی، دانشکدۀ علوم اقتصادی و اداری، دانشگاه مازندران، مازندران، ایران

2 کارشناس ارشد مدیریت صنعتی، دانشکدۀ علوم اقتصادی و اداری، دانشگاه مازندران، مازندران، ایران

چکیده

امروزه ارزیابی ریسک شکست تجهیزات پزشکی با توجه به نقش حیاتی عملکرد صحیح این تجهیزات، ضرورت اجتناب‌ناپذیری است. در این مطالعه تلاش شده است ریسک شکست تجهیزات اتاق عمل در یکی از بیمارستان‌های شهر تهران تحلیل شود. برای این کار، پس از طراحی سیستم استنتاج فازی چند مرحله‌ای، میزان ریسک نُه مورد از شکست‌های مهم تجهیزات این بخش با سیستم مذکور ارزیابی شد. مسئلۀ شایان توجه این مطالعه، ارزیابی شاخص‌های فرعی و مهم مربوط به عوامل اصلی ریسک شکست است که تاکنون در طراحی سیستم‌های استنتاج به آن توجه نشده بود. نتایج حاکی از آن است که شکست‌های «اشکال در کنترل و تنظیمات فشار CO2» و«خرابی باتری‌های نیکل ـ کادمیوم»،به ترتیب از بیشترین و کمترین ریسک برخوردارند و این نتیجه با ارزیابی خبره‌های با تجربۀ تحقیق نیز سازگار بوده است؛ از این رو طراحی نوعی برنامۀ نرم‎افزاری کاربرپسند بر مبنای الگوی ارائه شده می‌تواند به بیمارستان‌ها کمک کند تا بدون نیاز به بازرسی‌های حضوری کارشناسان خبره، ریسک خرابی تجهیزات را در دوره‎های معین ارزیابی کنند.

کلیدواژه‌ها


عنوان مقاله [English]

Fuzzy Inference System modeling to assess the potential risks in the medical equipment

نویسندگان [English]

  • Mohammad Valipour khatir 1
  • Narjes Ghasemnia Arabi 2
1 Assistant Prof. of Industrial Management, Faculty of Economic and Administrative Sciences, University of Mazandaran, Mazandaran, Iran
2 MSc. in Industrial Management, Faculty of Economic and Administrative Sciences, University of Mazandaran, Mazandaran, Iran
چکیده [English]

Nowadays failure risk assessment of medical equipment considering the crucial role of proper functioning of these equipment, make it unavoidable necessity. In this study, the risk of equipment failure in the operating room of a hospital in one of the hospital in Tehran is analyzed. In this regard, after designing the multi-stage fuzzy inference system, the risks of nine major failures of equipment were evaluated by the system. The notable issue in this article, evaluation sub-attribute and the main factors related to failure risks that until now have been neglected in design of inference systems. The results indicate that the failures "Error in control and regulate the co2 pressure" and "Nickel-Cadmium batteries failure " have respectively the highest and lowest risk among others and this result is compatible with the experienced experts’s opinion in this study; Therefore, designing a user friendly software program based on a proposed model can help hospitals to evaluate the risk of equipment failure in certain periods without need to presence inspections of certified experts.

کلیدواژه‌ها [English]

  • Fuzzy inference system
  • Failure Modes and Effects Analysis
  • Medical equipment
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