Search results

This paper extends the authors’ previous research work investigating resilience for municipal infrastructure from an asset management perspective. Therefore, this paper aims to formulate a pavement resilience index while incorporating asset management and the associated resilience indicators from the authors’ previous research work.

This paper introduces a set of holistic-based key indicators that reflect municipal infrastructure resiliency. Thenceforth, the indicators were integrated using the weighted sum mean method to form the proposed resilience index. Resilience indicators weights were determined using principal components analysis (PCA) via IBM SPSS®. The developed framework for the PCA was built based on an optimization model output to generate the required weights for the desired resilience index. The output optimization data were adjusted using the standardization method before performing PCA.

This paper offers a mathematical approach to generating a resilience index for municipal infrastructure. The statistical tests conducted throughout the study showed a high significance level. Therefore, using PCA was proper for the resilience indicators data. The proposed framework is beneficial for asset management experts, where introducing the proposed index will provide ease of use to decision-makers regarding pavement network maintenance planning.

The resilience indicators used need to be updated beyond what is mentioned in this paper to include asset redundancy and structural asset capacity. Using clustering as a validation tool is an excellent opportunity for other researchers to examine the resilience index for each pavement corridor individually pertaining to the resulting clusters.

This paper provides a unique example of integrating resilience and asset management concepts and serves as a vital step toward a comprehensive integration approach between the two concepts. The used PCA framework offers dynamic resilience indicators weights and, therefore, a dynamic resilience index. Resiliency is a dynamic feature for infrastructure systems. It differs during their life cycle with the change in maintenance and rehabilitation plans, systems retrofit and the occurring disruptive events throughout their life cycle. Therefore, the PCA technique was the preferred method used where it is data-based oriented and eliminates the subjectivity while driving indicators weights.

One of the most critical infrastructures is a data center (DC) because of it having many servers, computers and other equipment. DCs provide online services for various companies in the information technology (IT) industry. DC facilities should provide reliable online services while addressing the required quality and performance level considering maximum reliability and availability. The purpose of this study is to represent and classify the main findings in this area and to identify the main research gaps and shortcomings from the perspective of research.

This paper provides an organized and systematic literature review focusing on topics regarding the operation and maintenance (O&M) management of DCs.

Although there are several studies on O&M management systems for industrial systems and facilities, a limited number of studies with few methods and models have focused on DCs so far and these facilities require more attention. This paper identifies the issues and challenges for DC buildings and facilities and provides a conclusion of the findings to highlight the main research limitations for discovering new potential methods as future research opportunities.

The paper has highlighted the main practical issues of DCs in terms of maintenance management. Several research works have been discussed specifically for DC’s maintenance, which makes this paper a credible source for researchers, maintenance managers and companies involved in the area of DC. Because several of the reviewed literature were based on real case studies, decision-makers in the DC maintenance sector can take advantage of new research on maintenance scheduling to reduce the costs of maintenance.

The paper has presented a comprehensive list of frequent keywords in recent publications related to O&M management for DCs. It has provided a categorized list of publications based on by their topic, methodology and case study. Because this paper has discussed research works specifically for DC’s maintenance, it is a credible source for researchers, maintenance managers and companies involved in the area of DCs.

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.

The complexity and criticality of healthcare services highlight the importance of maintenance management function in healthcare facilities. The purpose of this paper is to review the literature on maintenance management of healthcare facilities and hospital buildings to provide an organized literature review and identify gaps from the perspective of research and practice.

The paper categorizes the literature and adopts a review hierarchy according to maintenance management functions in hospital buildings. It explores the impact of those functions on the performance of maintenance activities in hospitals. Furthermore, it examines the role of information technology and automated decision support systems in facilitating hospital maintenance management functions and performance.

Literature on maintenance management in healthcare facilities and hospital buildings has so far been very limited. Recently published literature focusing on healthcare facilities management and its maintenance management functions is classified into various areas and sub-areas. The paper highlights gaps in the literature and suggests avenues for future research and improvements.

The paper contains a comprehensive listing of publications and their classifications according to various attributes. It will be useful for researchers, maintenance managers, practitioners and stakeholders concerned with facility management of hospital buildings.

This study highlights the findings of an empirical study to investigate waste factors (WFs) affecting the performance and delivery of construction projects in developing countries. The objectives of this study are to identify non-physical WFs in developing nations and rank the identified factors based on their degree of influence on the key performance indicators (KPIs) of cost, quality and time.

In total, 34 WFs were identified through a detailed literature review and consolidated using semi-structured interviews with construction practitioners. The statistical analysis involved a normality test using the Shapiro–Wilk test to determine if sample data have been drawn from a normally distributed population, ranking the WFs using the Frequency Index (FI), Severity Index (SI) and Importance Index (IMPI), ranking the WFs based on their effect on the project KPIs of cost, quality and time, and identify clustering structures for the identified WFs to using factor analysis (FA).

The results revealed ineffective planning and scheduling, rework/repair of defective work and resource quality problems (human, material and equipment) as the three most important WFs affecting construction projects. The factor analyses showed that WFs can be grouped into five interrelated components, suggesting the need for integrated and holistic strategies to overcome the identified WF.

Understanding the effects of WFs on construction projects is a first step towards designing holistic solutions to ensuring projects deliver value to the clients and other stakeholders. The findings of this study provide direction to construction practitioners on where to focus appropriate strategies to manage the identified WFs effectively and, therefore, improve the productivity of construction projects.

This study provides the first holistic analysis of WFs affecting the productivity of construction projects in developing countries.

This paper aims to present an objective overview of the factual discourse around the wasting nature of real estate for an appreciation of the resultant exacting management responsibility. The durability feature of real estate has had consequential implications on the appreciation of the asset class.

The paper uses literature survey and key informant interview to identify the peculiar features of real estate to understand the exacting responsibility of its ownership and management.

The study reveals that real estate is a specialised investment asset that requires extra management care, costs and specialised expertise to retain its investment value. Thus, the asset is not inherently perpetual but wasting and requires conscious physical and functional management, which are dependent on sound financial management.

Real estate investment decisions must be made with the exacting management responsibility in mind. Both individual and corporate investors must use a sinking fund policy to meet the financial liability involved in managing both income and non-income properties. The Government of Ghana must create a National Infrastructure Maintenance Fund and adopt a National Infrastructure Management Strategy for managing the existing stock of public real estate.

It is the first literature appraisal and facts collation on the wasting nature of real estate and its attendant exacting management responsibility with a call for paradigm shift in our understanding of this investment asset.

This paper aims to investigate the relevance of the relationally integrated value networks (RIVANS) concept for integrating project management (PM) and asset management (AM) for total asset management (TAM). The specific objectives are to test the RIVANS for TAM concept postulated by Kumaraswamy (2011) and Kumaraswamy et al. (2012); discover ways to enable PM and AM teams to work in an integrated manner; and recommend strategies and operational measures to promote greater team integration in the industry.

This study is based in Hong Kong with parallel studies in the UK, Singapore and Sri Lanka. Through a comprehensive questionnaire, a case study on an organization engaged in both design and construction and operations and maintenance (O&M) works, interviews and hosting a workshop (all conducted with experienced industry practitioners and experts), a set of recommendations are derived to guide the industry toward greater team integration.

Early involvement of O&M staff is important for better anticipating obstacles and learning from past experiences, but PM and AM teams generally work independently with limited interaction. Priorities of the stakeholders are often different. Knowledge management is increasingly important, but knowledge sharing is not always a priority. The three focus areas in the set of recommendations developed from Hong Kong are: organizational/management structure, procurement strategies and operational mechanisms; fostering culture of team building and providing additional means of communication; and informal communication tools.

There has been little research into the communication, interaction and integration between PM and AM priorities and teams. However, increasing industry emphasis on sustainable buildings, end-user satisfaction and designing for maintainability dictates that PM and AM teams must work closer together, hence the imperative for mapping useful directions to be pursued.

The purpose of this study is to examine the relationship and pricing effects of physical infrastructure on house rents using the hedonic technique.

Primary data are derived through a questionnaire survey and secondary data from existing literature. Sampling data on 211 detached residential buildings with a range of physical infrastructure attributes within Lekki Phase 1 area of Lagos are analysed with the hedonic regression technique.

Results reveal significant impacts and a range of price premium estimates of physical infrastructure on house rents in the study area.

The study suggests a nouvelle and contextualized approach for sustainable infrastructure delivery, improvement and maintenance. Appropriate pricing will help to guide and support physical infrastructure development and sustainability. When tailored in line with market support, achievable pricing can be attained in setting land-based user charges and tariffs for cost recovery on projected developments and reform. Results from empirical market evidence also provide demand and viability indicators that offer invaluable blueprints, by which governments, policy/decision makers, investors, town-planning authorities and other stakeholders can take sustainable decisions based on priority, in the face of budgetary constraints – a significant characteristic of the Nigerian economy.