توسعه نمودارهای کنترل جهت پایش آماری شبکه دینامیک خدمات فوریتی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات تهران، گروه مهندسی صنایع، تهران، ایران

2 استاد، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات تهران، گروه مهندسی صنایع، تهران، ایران

چکیده

در دنیای واقعی علاوه بر شبکه‌های اجتماعی، طیف گسترده‌ای از مساله‌ها وجود دارد که با راهکار پایش شبکه‌ها قابل تحلیل و بهبود هستند، شبکه‌هایی مانند شبکه‌های حمل‌و‌نقل، عرضه و تقاضا، تبادلات مالی، شبکه‌های موجود در بهداشت و درمان و غیره، که پایش آن‌ها و تحلیل نتایج حاصل می‌تواند منافع قابل توجهی برای ذینفعان شبکه داشته باشد. این تحقیق برمبنای شناسایی و حل مساله واقعی شکل گرفته است، به این معنا که یک مساله واقعی در کشور شناسایی شده و برای حل آن‌ متدولوژی طراحی و اجرا می‌گردد. موردکاوی مورد نظر، پایش شبکه‌ای از مراکز یک مجموعه است که خدمات فوریتی در شهرها ارائه می‌دهد. ماهیت این شبکه دینامیک، مبتنی بر ویژگی، جهت‌دار و وزن‌دار می‌باشد. نتایج این تحقیق نشان می‌دهد با مدل کردن سیستم‌های پیچیده به عنوان یک شبکه و پایش مداوم آن می‌توان وضعیت‌های غیرعادی را زودهنگام شناسایی و مدیریت نمود و از رخداد بحران در شهرها جلوگیری کرد.

کلیدواژه‌ها

عنوان مقاله [English]

Developing Control Charts for Statistical Monitoring of a Dynamic Network of Emergency Service

نویسندگان [English]

  • Hoorieh Najafi 1
  • Abbas Saghaei 2
1 Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
چکیده [English]

Nowadays, statistical analysis and monitoring of networks and early detection of anomalies with a significant growth rate have received more attention than before in recent years. In the real world, there is a wide range of networks analyzed and improved through network monitoring solutions, such as transportation, supply-demand, financial exchanges, health care, as well as the social ones, the analysis of the results can be beneficial to the stakeholders. The basis of the research is on identifying and solving the real problem. In other words, a real problem is identified in the country and a methodology is developed to solve it. The case study is the monitoring of a network of centers that provide emergency services in cities. The nature of this network is dynamic, feature-based, directed and weighted. The results of this study show that by modeling complex systems as a network and its continuous monitoring, abnormal situations can be identified and managed early and crises in cities can be prevented.

کلیدواژه‌ها [English]

  • Attribute-based networks
  • Likelihood Ratio Test (LRT)
  • Weighted networks

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Woodall, W. H., Zhao, M. J., Paynabar, K., Sparks, R. and Wilson, J. D., 2017. An overview and perspective on social network monitoring. IISE Transactions, pp.354-365

نشریه علمی پژوهشی مهندسی و مدیریت کیفیت
دوره 11، شماره 4
اسفند 1400
صفحه 377-392

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