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Enhancing maintenance management for Governmental buildings

تحسين إدارة الصيانة للمباني الحكومية

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 Publication date 2015
and research's language is العربية
 Created by Shamra Editor




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Building maintenance is gaining an increasing worldwide recognition in many fields of study.as a result; a remarkable shift in building maintenance management from preventive approach to predictive approach is taking a place now a days. That is achievable through building of an evaluative model to assess a variety of alternative decisions and make the right decisions, taking in the consideration building condition and the available budget for maintenance. In Syria, there is lack of effective building maintenance for governmental buildings because we use an approach depends on doing the work after the fault happened, that leads to deteriorating in the all building's parts. In this paper, we study maintenance reasons and importance degree for every single components by designing questionnaire, divide the building in to its essential parts and components, and link them to maintenance works. At the end, we get mathematical models called deterioration models assist in predictable maintenance works and distributing the budget, and to make sure about validity of these models we apply them in the dormitory in Tishreen University.


Artificial intelligence review:
Research summary
تناول البحث موضوع تحسين إدارة الصيانة للمباني الحكومية في سوريا، حيث تم التركيز على التحول من منهج الصيانة الوقائية والإصلاحية إلى منهج الصيانة التوقعية. تم تطوير نماذج رياضية تُعرف بموديلات الانتكاس، والتي تساعد في تقييم حالة المباني وتوزيع ميزانية الصيانة بشكل فعال. تم تقسيم المباني إلى مكونات أساسية وعناصر، وربط كل عنصر ببنود الصيانة الخاصة به. تم استخدام استبيان لجمع البيانات من المهندسين العاملين في مجال الصيانة، وتم تحليل البيانات باستخدام برنامج SPSS والمنطق الضبابي. تم تطبيق النماذج على السكن الجامعي في جامعة تشرين للتحقق من صحتها وفعاليتها. خلص البحث إلى أن استخدام نماذج الانتكاس يساعد في تحسين إدارة الصيانة من خلال توفير تقييم سريع لحالة المباني وتوزيع الميزانية بشكل أفضل.
Critical review
دراسة نقدية: على الرغم من أن البحث قدم مساهمة قيمة في مجال إدارة الصيانة للمباني الحكومية، إلا أن هناك بعض النقاط التي يمكن تحسينها. أولاً، كان من الأفضل تضمين عينة أكبر من المباني الحكومية لتعميم النتائج بشكل أفضل. ثانياً، يمكن تحسين دقة النماذج من خلال استخدام تقنيات تحليل بيانات أكثر تطوراً مثل التعلم الآلي. ثالثاً، لم يتطرق البحث بشكل كافٍ إلى تأثير العوامل البيئية والمناخية على حالة المباني، وهو ما يمكن أن يكون له تأثير كبير على نتائج النماذج. وأخيراً، كان من الممكن تقديم توصيات أكثر تفصيلاً حول كيفية تنفيذ الصيانة التوقعية بشكل عملي في المؤسسات الحكومية.
Questions related to the research
  1. ما هو الهدف الرئيسي من البحث؟

    الهدف الرئيسي من البحث هو تحسين إدارة الصيانة للمباني الحكومية في سوريا من خلال التحول من منهج الصيانة الوقائية والإصلاحية إلى منهج الصيانة التوقعية باستخدام نماذج رياضية تُعرف بموديلات الانتكاس.

  2. ما هي الأدوات المستخدمة في تحليل البيانات في هذا البحث؟

    تم استخدام برنامج التحليل الإحصائي SPSS والمنطق الضبابي لتحليل البيانات التي تم جمعها من الاستبيانات.

  3. ما هي الفائدة الرئيسية من استخدام نماذج الانتكاس في إدارة الصيانة؟

    تساعد نماذج الانتكاس في توفير تقييم سريع ودقيق لحالة المباني، مما يسهم في توزيع ميزانية الصيانة بشكل أفضل وتوقع الأعطال المستقبلية، وبالتالي تحسين كفاءة الصيانة وتقليل التكاليف.

  4. كيف تم التحقق من صحة نماذج الانتكاس المطورة في البحث؟

    تم التحقق من صحة نماذج الانتكاس من خلال تطبيقها على السكن الجامعي في جامعة تشرين وجمع تقييمات المهندسين المشرفين على الصيانة، ومن ثم مقارنة النتائج مع الحالة الفعلية للمباني.


References used
OLAGUNJU, R.E. Predictive Modelling for Sustainable Residential Building Maintenance in Developing Countries: A Nigeria Case. Interdisciplinary Journal of Contemporary Research in Business, Vol. 4, N. 6, 2012, 1273-1283
Barnes, B. and Fulford, G. R. (2002), Mathematical Modelling with Case Studies: A Differential Equation Approach Using Maple, Taylor and Francis Publishers, 2008, 366P
ABDEL ATY، A. Framework For Monitoring And Maintenance Subways Stations Using Building Information Modeling. Master Thesis, Cairo University, 2013, 94P
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