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العنوان
Life-cycle optimization of facility management for residential communities in Egypt
المؤلف
Saleh Muhammad Saleh,
هيئة الاعداد
باحث / Saleh Muhammad Saleh
مشرف / Hesham Maged Osman
مشرف / Dina Atef Saad
مناقش / Maged Ezzat Georgy
مناقش / Mohammed Eldeeb
الموضوع
structural Engineering
تاريخ النشر
2022.
عدد الصفحات
65 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة المدنية والإنشائية
الناشر
تاريخ الإجازة
6/7/2022
مكان الإجازة
جامعة القاهرة - كلية الهندسة - structural Engineering
الفهرس
Only 14 pages are availabe for public view

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from 85

Abstract

Facility Management (FM) is a vital industry that is responsible for managing huge building and real estate investments throughout the world. FM touches upon the function, comfort, safety and efficiency of the built environment, buildings, grounds, infrastructure, and real estate. It includes operations and maintenance, communication management, emergency management, business continuity, environmental management and sustainability.
In Egypt, huge real estate investments have been made in the past decades. Improper application of FM to these assets has led to accelerated asset deterioration, lower level of service to customers and eventually higher costs are required to rectify asset condition and service levels in order to achieve their targets. Efficient allocation of limited financial resources to FM activities is a vital step to balance customer expectations and FM delivery costs. The large number of FM activities and services requires the development of comprehensive models to empower facility managers to make informed decisions on FM spending that balance life cycle costs with the desired levels of service.
This research develops a comprehensive quantitative model to enable facility managers to; 1) find an optimum solution for FM activities implementation on real estate projects, 2) incorporating interest rate and inflation rate based on historical data, 3) Provide detailed statement of the financial situation of projects, 4) monitor the performance of all assets in the project, 5) forecast revenues considering the uncertainty of the income and 6) Determine the maintenance action plan taken for the next ten years regarding deterioration rate based on historical data. The model was implemented on a number of case studies for an actual project to demonstrate its benefits.