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The existing concept in the building rating scheme especially in developing countries was more focused on the environment, economic, social and culture. The new approach of the classroom condition index (CCI) assessment scheme has its uniqueness in environmental and social aspects because of high building performance in secondary school buildings. The requirements set by the Ministry of Education Malaysia include providing a conducive learning environment, especially for students who are considered as the main users of classrooms in school buildings. Currently, the school administration needs to manually record the condition of the classroom to increase its comfort level. The lack of a structured scheme for classroom assessment makes it difficult for school administration to focus on the overall classroom condition (physical environmental aspect) in the school building. The purpose of this study is to develop a framework for classroom conditions by proposing a CCI assessment scheme for a secondary school building in Malaysia.

Mixed methods were used to carry out the study. The first stage of this study concentrates on developing a system for CCI that relates to physical elements in the classroom. This is done by reviewing the literature on the classroom physical performance, as well as a comparison between several building rating systems locally and abroad. The structure of the proposed CCI scheme is grouped into four main themes, namely, space management quality (SMQ), building condition (BC), indoor environmental quality (IEQ) and teaching and learning quality (TLQ). In addition, there are 12 categories and 23 indicators listed under this theme. The second stage focuses on formulating assessment categories with their relevant performance indicators. This phase undergoes a validation process by conducting a survey (questionnaire) toward the classroom’s main users, which are students and teachers. This is to ensure the accuracy of classroom conditions in the school building. A semi-structured interview was also conducted among building experts. They are building surveyors, building engineers, building designers and building performance experts to support the main findings in the second stage. Relative importance (RI) index approach has been applied to show the indicators weighting and ranking are used as data collections method by using Statistical Package of Social Science software to examine the RI of each category and indicator, respectively.

The findings show that prominent RI and balanced weights are formed from these four main themes. They are SMQ (19.9%), BC (26.6%), IEQ (33.2%) and TLQ (20.3%). The outcome of this study will contribute to a detailed assessment scheme for CCI at the secondary school building. The contribution of the CCI Assessment Scheme is more comprehensive and holistic than the conventional assessment process for BCs. It focuses specifically on classroom space as it is the most important area to achieve a high level of comfort comparing to other spaces in the school building. This holistic approach encompasses all types of classrooms. The concept of one tool fits all is seen as no longer a relevant adaptation in this context. This proposed tool is to be used only for the classroom (as the name CCI implies) and it cannot be used for the other types of spaces, for instance, teacher room, library, meeting room, toilet, canteen and, etc. This is because different spaces represent different physical indicators to be classified. This, in turn, contributes to a conducive learning environment for students in the school.

This paper provides the current information, knowledge and findings related to the classroom physical indicators in developing the assessment scheme for the classroom environment. It will assist both technical and non-technical experts to clarify the current condition of classroom physical performance that ideally may affect the students’ learning environment. The novelty of CCI development is not only on the adopted method but it also includes the ideas on next generation model of rating system that ideally need specific indicators and weighting to be generated into an intelligent computerized system.

This paper aims to provide insight into the use of a standard for condition assessment.

The paper is based on a literature review, an analysis of the development, content and practical use of the Dutch Standard for Condition Assessment of Buildings, and the findings of several research projects about condition assessment and maintenance planning by Dutch housing associations.

By using the standard for condition assessment, building inspectors can provide property managers with objective data about the condition status of building components. Aggregated condition data could be used for setting condition targets for built assets and for benchmarking. It is anticipated that as a result of the standardisation, condition surveys will become more reliable and as a consequence more popular among large‐scale property owners.

The standard has been introduced recently. At present there is little experience of the use of (aggregated) condition data for maintenance planning and benchmarking built assets.

The standard is a tool to assess the technical status of the properties to underpin the long‐term maintenance expectations. Condition assessment is not meant for preparing the annual maintenance budget and planning of the work. Supplementary information is needed in the phase of preparing for the execution of remedial work.

This paper provides practical tools for condition assessment and maintenance planning.

By adopting a condition‐dependent approach to maintenance, facility managers can exercise control over the desired maintenance performance levels and costs. The practice of condition assessment by building inspectors yielded variable results due to subjective perceptions of inspectors. Nowadays well‐trained building inspectors are able to manage condition surveys and provide property managers with objective, reliable information about performance loss and defects in building components. The implementation of various performance levels in planned maintenance requires not only the standardisation of the condition assessment method, but also the related planning methodology. This paper describes the findings from research in the Netherlands which examined the methodology of condition assessment of building components using a six‐point condition scale. Different categories of performance loss in maintenance are distinguished and linked to different kinds of maintenance activities.

Building inspection is one of the key components of building maintenance. The primary purpose of performing a building inspection is to evaluate the building's condition. Without inspection, it is difficult to determine a built asset's current condition, so failure to inspect can contribute to the asset's future failure. Traditionally, a longhand survey description has been widely used for property condition reports. Surveys that employ ratings instead of descriptions are gaining wide acceptance in the industry because they cater to the need for a quantitative approach. These kinds of surveys are also in keeping with the new RICS HomeBuyer Report 2009. This paper aims to describe an assessment method.

The paper proposes a new assessment method, derived from the current rating systems, for assessing the building's condition and rating the seriousness of each defect identified. These two assessment criteria are then multiplied to find the building's score, which is called the condition survey protocol (CSP) 1 matrix. The matrix is assessed by means of a case study.

Instead of a longhand description of a building's defects, the matrix requires concise explanations about the defects identified, thus saving on‐site time during a building inspection. The full score is used to give the building an overall rating: good, fair or dilapidated. The overall findings reflect the reliability of the CSP1 matrix.

The matrix needs to be tested on more and larger buildings to further assess its reliability.

The paper focuses on the CSPI Matrix, a reliable and practical assessment method for building inspections performed under reasonable property conditions.

The purpose of this study is to develop a condition assessment (CA) model for a building's indoor 21 environments and to improve the building's asset management process.

The methodology is based on dividing the building into spaces, which are the principal evaluated elements based on the building's indoor environmental quality (IEQ). An evaluation scheme was prepared for the identified factors and the analytical hierarchy process (AHP) technique was used to calculate the relative weight of each space inside the building as well as the contribution of each IEQ factors (IEQFs) in the overall environmental condition of each space inside the building. The multi-attribute utility theory (MAUT) was then applied to assess the environmental conditions of the building as a whole and its spaces. An educational building in Canada was evaluated using the developed model.

Each space type was found to have its own IEQFs weights, which confirms the hypothesis that the importance and allocation of each IEQF are dependent on the function and tasks carried out in each space. A similar indoor environmental assessment score was calculated using the developed model and the building CA conducted by the facility management team; “89%” was calculated, using K-mean clustering, for the physical and environmental conditions.

IEQ affects occupants' assessment of their quality of life (QOL). Despite the existence of IEQ evaluation models that correlate the building's IEQ and the occupants' perceived indoor assessments, some limitations have led to the necessity of developing a comprehensive model that integrates all factors and their sub-criteria in an assessment scheme that converts all the indoor environmental factors into objective metrics.

The purpose of this paper is to discuss a method for assessing the condition of buildings. The method was developed in Portugal as part of a new Urban Tenancy Regime approved in 2006.

The method was developed in six phases, namely: definition of objectives; analysis of existing instruments; formulation of the proposal; discussions with organisations in the rented sector; pilot; and technical presentations of the final version.

The method is viable and adequate, since a balance was achieved between the accuracy of the results in view of their importance for the contractual relationship between landlord and tenant, and feasibility in terms of human and financial resources available for its implementation.

The method has been in use for two years. Further research is needed to confirm the accuracy of the results.

The results are used to determine the maximum annual rent value and to summon landlords to carry out repairs if the state of the building falls short of the required standard of maintenance. In a broader perspective the method is also used to assess of rented stock condition of large property owners and, in an adapted form, to assess buildings viability and determine repair needs.

This paper is relevant because it describes the assessment method; the previous methods for assessing the condition of Portuguese buildings were too simplistic and lacked the accuracy, transparency and independence required.

A building deteriorates over time due to aging, wear and tear, and inadequate maintenance. Building diagnosis requires a sound knowledge of engineering, building defects, and detection tools to assess the condition of a building. The physical deterioration of a building reduces its ability to perform its intended function, while environmental deterioration influences the comfort and health of building occupants. This study presents a multi-tiered framework for the inspection of building elements and the environmental conditions of a building.

A three-tiered building inspection framework is proposed in this study, which consists of the following: Tier-I—a preliminary inspection, Tier-II—a detailed inspection, and Tier-III—an expert investigation. Each tier of inspection assesses the severity of building defects using different technologies for different levels of inspection.

Proposed multi-tier inspection framework is tested and implemented on a case study. Results were promising, with organized data management on a common platform for both physical and environmental condition inspection having the potential to save time.

The application program developed for the implementation of structured multi-tiered building inspection provides better documentation and data management for building inspection data that can save time involved in manual data operations in traditional paper-based processes.

The purpose of this study is to minimize cost and minimize building condition. Weibull distribution approach was employed to generate deterioration curves over time. The third floor of Concordia University’s Engineering And Visual Arts (EV) Complex in Montreal, Canada, served as a case study to test the maintenance model and determine the optimal maintenance activities to be performed.

This research has demonstrated that there is insufficient fund allocation for the maintenance of non-residential buildings. Therefore, this research focused on designing and developing a maintenance optimization model that provides the type of spaces (architectural system) in a building. Sensitivity analysis was used to calculate weights to validate the model. Particle swarm optimization, based explicitly on multiple objectives, was applied for the optimization problem using MATLAB.

Following 100 iterations, 13 non-dominant solutions were generated. Not only was the overall maintenance cost minimized, but the condition of the building was also maximized. Moreover, the condition prediction model demonstrated that the window system type has the most rapid deterioration in educational buildings.

The model is flexible and can be modified by facility managers to align with the required codes or standards.

There has been a growing public concern over the importance of building management in apartment buildings. However, people's views toward the effects of building management on building performance have long been divergent due to a lack of empirical study. This study aims to empirically test the relationship between building management regimes and the conditions of private apartment buildings in Hong Kong.

An assessment scheme was developed to assess the health and safety conditions of 134 apartment buildings. Multiple regression models were then applied to analyze the effect of building management regimes on building conditions. The optimal functional form of the regression models was selected using Box‐Cox transformation.

The empirical results suggested that the presence of incorporated owners and property management agents (PMA) are significant factors in enhancing building conditions.

The sample was confined to single block buildings located in one particular district in Hong Kong. Further research is needed to validate the findings in estate‐type developments as well as those in other districts.

The empirical results assisted building owners in determining which management regimes to adopt should they want better building conditions. The government may also consider giving more support to owners by incorporating them and employing PMAs to create a pleasant living environment for society.

Our study is the first in the literature to provide an empirical test reconciling the divergent views toward the effects of building management with the conditions of buildings.

The purpose of this paper is to identify key variables that affect the quantifiable key performance indicators (KPIs) and to derive equations to measure these indicators. Qualitative KPIs are also discussed in terms of the aspects that need to be covered while carrying out qualitative performance assessment.

A combination of literature and an industry opinion-based qualitative approach is applied to develop equations to calculate the quantifiable KPIs. A facility asset management consulting firm is included in the process of deriving the equations. Key aspects of a facility's qualitative performance assessment are categorized and discussed by performing a literature review.

Mathematical expressions for core performance indicators are presented and discussed along with key variables. In addition, the information needed to quantify these core indicators is also discussed.

This paper represents the second step towards establishment of a relevant list of quantifiable and measurable core KPIs, which were identified and categorized in Part I of this paper. In Part II, the authors derive equations to quantify the core KPIs. Future research is needed to use relevant information from industry for validating these equations.

A need for a concise and relevant list of KPIs was identified in Part I of this paper. Part II provides an approach to quantify the core KPIs based on information that is available in the industry. This research will help facility management professionals in not only selecting the indicators of choice, but also quantifying them based on available information yielding enhanced facility management decisions with measurable facility performance outcomes.

This paper provides equations and variables to measure a facility's physical, functional and financial performance using both quantitative and qualitative performance assessments.