Facility Maintenance Management Research Articles

A Variable-Weight Model for Evaluating the Technical Condition of Urban Viaducts

Urban viaducts play a crucial role in transportation infrastructure and are closely linked to urban resilience. Accurate evaluation of their structural technical condition forms the basis for the scientific maintenance of urban viaducts. Currently, there is a lack of technical condition evaluation specifications for viaducts in China, and the existing bridge specifications that are similar do not fully align with the facility composition characteristics and maintenance management needs of viaducts. Therefore, this paper presents a technical condition assessment model for viaducts, based on existing bridge specifications. Considering the frequent damage to ancillary facilities of viaducts, the utilization of maintenance resources, and the impact on traffic operations, the model proposed in this paper adopts the Analytic Hierarchy Process (AHP) to introduce a new indicator layer for ancillary facilities. Subsequently, the weight values and deduction values of each layer of the model, as well as the findings of damage recorded in the new components, were determined using the Group Decision-Making (GDM) method and the Delphi method. This process forms a constant-weight evaluation model for assessing the technical condition of viaducts. Finally, to account for the impacts of significant damage to low-weight components on the structural condition, the variable-weight method was adopted to establish a comprehensive evaluation model with variable weights, which was then validated using practical viaduct examples. The results indicate that the variable-weight model provides a more accurate representation of the technical condition of viaducts, especially when components are severely damaged. Furthermore, this study examines the suitable conditions for implementing the constant-weight evaluation model and the variable-weight evaluation model, demonstrating that the variable-weight model is recommended when there is a significant disparity in the scores among the viaduct components, whereas the constant-weight model is applicable in other scenarios.

Critical factors that influence the effectiveness of facility maintenance management practice in public university buildings in Ethiopia: an exploratory factor analysis

Critical factors that influence the effectiveness of facility maintenance management practice in public university buildings in Ethiopia: an exploratory factor analysis

Application of a decision support system for monitoring and maintenance management of water valley tank facilities: A technological transformation toward sector sustainability

The conventional approach of monitoring and maintaining water valley tank facilities (WVTFs) by field visiting is allied to time and resource wastage and data inaccuracies due to human error. These shortcomings hinder the sustainable monitoring and maintenance management of WVTFs. Therefore, this study investigates the development of a user-friendly decision support system (DSS) for supporting the monitoring and maintenance management activities of WVTFs in Nakasongola, Uganda. An open-source cloud-based “Google AppSheet” was interlinked with “Google Sheets” to develop the “MWEMA” mobile application (App), built with four modules (i.e., PM plan and schedule, work order, functional status, and mapping). Additionally, the MWEMA-app was implemented in the case study area to monitor the operational status of WVTFs. A total of 41 WVTFs were monitored, and acquired data was plotted instantly on the map. Results showed that out of 41 WVTFs, 4 were functional, 27 were partially functional, 8 were non-functional, and 2 were pending construction. An economic estimation demonstrated that the implementation of the project initiative is profitable with benefit/cost ratio (B/C) and net-present worth (NPW) values of 2 and US$ 39,809, respectively. Implementing the proposed innovative DSS would support achieving society-, economy-, and environment-related targets of sustainable development goals (SDGs) for the United Nations 2030 Agenda. The technology would assist policymakers and technical managers in keeping track of the operational status of WVTFs for sustainable management and development of scarce water resources.

A Study of Environmental Education Requirements in Urban Theme Parks from the Perspective of Adolescents

Starting from the perspective of adolescents, this study selects the Maritime Silk Road Art Park in Quanzhou, Fujian Province, as the focal point for investigating environmental education requirements for urban theme parks. It comprehensively reviews existing literature and research findings, establishes evaluation indices for environmental education requirements, and systematically analyzes collected data through questionnaires and interviews. The study employs the Kano model to initiate a survey focusing on requirement types and importance ranking at the Maritime Silk Road Art Park. It aims to identify improvement factors and key factors, subsequently conducting a detailed analysis, summary, and explanation of the environmental education requirements for the youth. The results indicate that 11 out of the 25 requirement factors, categorized into five groups, significantly impact youth satisfaction. Based on the sensitivity ranking of improvement factors, these include the following: environmental education game, landscape facility, leisure and recreation facility, plant landscape planning, “five senses experience” activity, trail route design, guided signage facility, public sanitation facility, facility maintenance management, park functional zoning, and consultancy services platform. Through an in-depth analysis of the five prevalent factors influencing environmental education requirements in urban theme parks for adolescents, this study establishes a scientific evaluation system centered on the construction of urban theme parks. It integrates with the development and construction of the parks, proposing innovative and constructive suggestions based on a summary of the analysis results. The aim is to provide references and insights for similar requirements in other theme parks.

Enhancing Recreation Opportunities: A Case Study Of Sports Parks In Yunnan Province, China

This paper explores the construction, development, and socio-economic implications of sports parks in Yunnan Province, China, aiming to foster sustainable recreational experiences. Through an in-depth analysis of three emblematic cases—Kunming Cuihu Sports Park, Dali Ancient City Sports Park, and Lijiang Yulong Sports Park—it elucidates the integration of sports, leisure, and culture within these spaces. Emphasizing characteristic construction, facility maintenance, guided tours, and emergency management, the study underscores their pivotal roles in enhancing visitor experiences. The research delves into the multifaceted impact of sports parks on social development, including the promotion of healthy lifestyles, community cohesion, and local economic growth. By extrapolating insights from these cases, the paper offers valuable references for the planning and management of sports parks in diverse regions. Additionally, it outlines future directions for research, advocating for expanded data collection, nuanced understanding of cultural differences in recreational demands, and leveraging information technology to elevate service quality. These suggestions are poised to drive continuous progress in the field of sports parks, aligning with the evolving needs and aspirations of communities for an enhanced quality of life.

Augmented reality-based facility maintenance management system

PurposeThe purpose of this paper is to address the problems of the current facilities maintenance management (FMM) system in finding necessary information, identifying defective facilities and prioritizing maintenance work orders.Design/methodology/approachIn this paper, in conjunction with building information modeling, a system is proposed to perform a preliminary inspection of each maintenance request, provide FMM staff with the location of the faulty facility and its associated details and provide recommendations for prioritizing repair work orders. Unity and Revit are used to implement the proposed system and a case study is conducted to demonstrate its effectiveness.FindingsAn augmented reality (AR)-FMM system was developed using the AR technique in this paper. This system provides the related information even if the FMM receives a problem report without facility information from the occupant and performs a preliminary inspection so that the faulty facility and the route to it are identified. In addition, a work order sequence of pending requests was provided. The visualization of the facility using AR technology has brought great convenience and ease to FMM staff.Originality/valueThis paper addresses the problems encountered in the current facility maintenance management system concerning AR technology.

Maintenance management of pneumatic equipment and facilities at a plant in the Industrial corridor in the South area of the state of Tamaulipas

Maintenance planning is focused on production, the work is to limit, avoid and correct failures. The planning is focused on the processes, all maintenance must follow a pre-established and planned process according to the company's maintenance manual. Continuous improvement and planning help to evaluate and improve the execution of maintenance and production in the company. Planning and scheduling are a fundamental part of the proper functioning of maintenance. The development of a company is an organized system that, thanks to the effort and proper functioning of the teams, such as the personnel that work in it; This entire system has an end and is to provide a high-quality service that is competitive at the national level. Each company has a different methodology to manage the maintenance of their equipment and as technology advances, they are renewed for optimum performance. In Altamira, the growth of the companies has been exponential due to a correct administration in their production line, avoiding long delays or inconveniences that affect the company in a monetary way.

Analysis of Maintenance Techniques for a Three-Dimensional Digital Twin-Based Railway Facility with Tunnels

In accordance with the paradigm of the 4th and Industrial Revolution, the introduction of building information modeling is expected in all areas related to railroad construction, operation and management, along with the establishment of a metaverse platform that combines big data, the Internet of Things, and artificial intelligence. The performance of tasks related to the safety and maintenance of railway facilities is aided by the use of digital systems free from physical and temporal constraints. Three-dimensional (3D) modeling and other 4th industrial technologies, such as unmanned aerial vehicles (UAVs) and light detection and ranging (LiDAR), are increasingly implemented in many types of infrastructure. With respect to railroads, the use of these methods to monitor tunnel spaces has been hindered by the limitations of modeling with UAV and inadequate Global Positioning System reception. Here, we conducted the domestic application of 4th industrial technologies to a railway tunnel; we addressed these problems using a BLK360, a fixed LiDAR device that combines two-dimensional panoramic images and a 3D point cloud method. The outcomes of this research will benefit railway operation managers by providing a platform combining a two-dimensional panoramic virtual reality (VR) image and a 3D model developed from a 3D scan framework for the maintenance of existing railway facilities (tunnels). Our approach was optimized for the maintenance and operational management of railroad facilities, as demonstrated for tunnels, because it continuously acquires time-series data that is appropriate for the maintenance of the corresponding space. In the future, this approach can be used for test tracks and operational lines.

Research on Smart Construction Education Training Contents Using a Drone Simulator

Recently, application field of drone is expending throughout the growth of drone technology in the structural change of whole society which calls the 4th industrial Revolution. So, the construction field has been already using drone video shooting in construction design and efforts to introduce drone, which is one of smart construction technology, are also increasing even in facility maintenance management. It takes so much time and costs to train drone experts who are required in the smart construction field so training contents studies, which are for smart construction education, demand to acquire professional skills and expend education opportunities using a drone simulator. Therefore, we present real-world-images based on spatial information for realistic images using the flight dynamics modeling of a quad rotor drone and render a smart construction drone simulator for drone pilots education training to inspect facilities safety.

Rapid Detection of Tools of Railway Works in the Full Time Domain

Construction tool detection is an important link in the operation and maintenance management of professional facilities in public works. Due to the large number and types of construction equipment and the complex and changeable construction environment, manual checking and inventory are still required. It is very challenging to count the variety of tools in a full-time environment automatically. To solve this problem, this paper aims to develop a full-time domain target detection system based on a deep learning network for difficult, complex railway environment image recognition. First, for the different time domain images, the image enhancement network with brightness channel decision is used to set different processing weights according to the images in different time domains to ensure the robustness of image enhancement in the entire time domain. Then, in view of the collected complex environment and the overlapping placement of the construction tools, a lightweight attention module is added on the basis of YOLOX, which makes the detection more purposeful, and the features cover more parts of the object to be recognized to improve the model. Overall detection performance. At the same time, the CIOU loss function is used to consider the distance fully, overlap rate, and penalty between the two detection frames, which is reflected in the final detection results, which can bring more stable target frame regression and further improve the recognition accuracy of the model. Experiments on the railway engineering dataset show that our RYOLO achieves a mAP of 77.26% for multiple tools and a count frame rate of 32.25FPS. Compared with YOLOX, mAP increased by 3.16%, especially the AP of woven bags with a high overlap rate increased from 0.15 to 0.57. Therefore, the target detection system proposed in this paper has better environmental adaptability and higher detection accuracy in complex railway environments, which is of great significance to the development of railway engineering intelligence.

A Digital Twin predictive maintenance framework of air handling units based on automatic fault detection and diagnostics

The building industry consumes the most energy globally, making it a priority in energy efficiency initiatives. Heating, ventilation, and air conditioning (HVAC) systems create the heart of buildings. Stable air handling unit (AHU) functioning is vital to ensuring high efficiency and extending the life of HVAC systems. This research proposes a Digital Twin predictive maintenance framework of AHU to overcome the limitations of facility maintenance management (FMM) systems now in use in buildings. Digital Twin technology, which is still at an initial stage in the facility management industry, use Building Information Modeling (BIM), Internet of things (IoT) and semantic technologies to create a better maintenance strategy for building facilities. Three modules are implemented to perform a predictive maintenance framework: operating fault detection in AHU based on the APAR (Air Handling Unit Performance Assessment Rules) method, condition prediction using machine learning techniques, and maintenance planning. Furthermore, the proposed framework was tested in a real-world case study with data between August 2019 and October 2021 for an educational building in Norway to validate that the method was feasible. Inspection information and previous maintenance records are also obtained through the FM system. The results demonstrate that the continually updated data combined with APAR and machine learning algorithms can detect faults and predict the future state of Air Handling Unit (AHU) components, which may assist in maintenance scheduling. Removing the detected operating faults resulted in annual energy savings of several thousand dollars due to eliminating the identified operating faults.

Facility Maintenance Management and Its Effects on Employee Performance: A Positivist Approach

This study aims to investigate the role facility maintenance management plays on employee performance at a institution of higher learning in the Eastern Cape of South Africa.. This study employed a quantitative research approach, and the data were gathered from 150 employees who were chosen through a random sampling method. The data were analyzed using the Statistical Package for the Social Scientist (SPSS) Version 24.0. The analysis was of frequencies and standard deviations. The study findings revealed that the current facilities at the institution need an upgrade to a level that is conducive, suitable, and adequate for employees to perform their duties satisfactorily to reach the objectives of the institution. An efficient method for preparing, scheduling, and coordinating facility maintenance tasks needs to be applied to ensure effective maintenance service is performed effectively. This empirical study provided fruitful implications for academicians by making a significant contribution to the facility maintenance literature by systematically exploring the effect of facility maintenance management on the employee performance at a higher learning institution within the Eastern Cape province of South Africa. This study, consequently, stands to greatly add new knowledge to the existing literature related to maintenance performance measurement in Africa, a research setting that has been neglected by academic researchers of late.

Integrating inspection management (IM) in piping system of petroleum industry in Iran

PurposeThis paper aims to report on the findings from a research project, incorporated by Iran’s Ministry of Petroleum, investigating the integration of inspection management with analysis of document information.Design/methodology/approachA combination of group and individual interviews were undertaken with qualitative methods of analysis to develop an integrated process model. The model developed uses integrity management factors, which allows flexibility and the early integration of inspection management systems at a strategic level, although detailed planning is still required through the use of integrated management tools. The model combines information on responsibilities, tasks and policies, of personnel in the inspection management of the piping system with the oil and gas industry.FindingsThe six inspection activities recognized for the main practical model are, namely, identify pipeline situation; inspect and measure defects; inspection assessment; design inspection; implement inspection activities and measure and report inspection.Originality/valueThis research presented not only a process but also the framework and techniques to manage and improve management effectiveness and inspection efficiency in pipelines of the oil and gas industry. This study will be useful to researchers maintenance professionals and others concerned with inspection and maintenance management of facilities and equipment in the oil and gas industry.

WITHDRAWN: Distributed Treatment of Rural Environmental Wastewater by Artificial Ecological Geographic Information System

County rural sewage geographic information system, is the use of geographic information technology and computer graphics, digital storage and management of sewage treatment facilities, the sewage treatment plant equipment management, water purification and sewage network and its surrounding corresponding facilities location information and physical attributes of the two combined, according to the needs of users, the sewage treatment process required data in the form of graphics and text to show to According to the user's needs, the data required in the process of sewage treatment is displayed to the user in a graphic way, so as to meet the needs of government departments for comprehensive control of the operation and maintenance management of sewage treatment facilities. Solve the problem of slow update of basic data in sewage treatment projects and ambiguous presentation of water quality monitoring data caused by paper records. The system uses Web-GIS technology, combined with NET development platform, using MVC model design and implementation. The front-end Bootstrap framework for interface optimization display, the back-end ORM framework to provide persistence classes and database tables between the mapping relationship, convenient to complete the migration of the database. The system function design uses the visualization and analysis function of GIS to manage the wastewater treatment facilities and the wastewater purification process for real-time operation and maintenance supervision, and uses the three-dimensional engine to visualize and display the study of the wastewater pipe network on the Web side. Mainly divided into the following modules: water quality parameters supervision module, mainly real-time monitoring of the sewage treatment process, the parameters are in line with the sewage purification indicators, to play a monitoring and early warning role; equipment operation and maintenance module, mainly for the sewage treatment facilities for fault detection and maintenance of property information; statistical analysis module, the water quality information of different sewage treatment plants for horizontal and vertical comparison and analysis, to improve the sewage treatment The statistical analysis module, which provides data for improving the sewage treatment process; and the 3D pipe network visualization module, which uses virtual reality technology to visualize the sewage pipe network on the Web side to make up for the lack of information on the pipe network in the third dimension.

A Review of Embedding Artificial Intelligence in Internet of Things and Building Information Modelling for Healthcare Facility Maintenance Management

Latest innovations in Internet of Things (IoT) technologies as well as the new paradigms in Artificial Intelligence systems are opening up opportunities to create smart computing infrastructures for the Healthcare Facility Management. However, the current scenario of hospital buildings maintenance management is strongly characterized by slow, redundant, and not integrated processes, which lead to loss of money, resources, and time. On the other hand, lack of data and information in as-built digital models considerably limits the potential of Building Information Modelling in Facility Maintenance Management. Consequently, optimization of data collection process and management is required. In this light, this paper presents a review of embedding AI (Artificial Intelligence) in BIM-IoT integration for the process of healthcare Facility Maintenance Management (FMM) in order to conquer the current challenges. The first challenge in front of integrating IoT– BIM, is the lack of information; the second challenge is BIM’s sematic information that has not been able to display indoor conditions’ elements which should be reconsidered; and the third challenge is the data size which is stored in systems as well as the eligibility of individuals to apply the related data. Additionally, some emerging trends in IoT are reviewed such as the combination of Machine Learning and Artificial Intelligence in order to exploit their advantages and complement their limitations, which enable new promising IoT applications.

Renovating Healthcare Facility Maintenance Planning: A Case Study From Walter Reed National Military Medical Center (WRNMMC).

This article documents the development and implementation of a new approach for health facilities construction and maintenance planning, the use of a Facilities and Clinical Coordination (FCC) Council, at Walter Reed National Military Medical Center (WRNMMC). WRNMMC is preparing for the largest and most complex renovation project in recent Department of Defense history. There is sparse documentation demonstrating stepwise frameworks for the implementation of effective and efficient health facilities maintenance management tools and techniques. This study discusses the development and evaluation of the FCC Council. Clarity to the literature sources guiding the development of the FCC Council is provided, followed by the survey approach undertaken to assess Council efficacy based on participants' perceptions. Data are analyzed using descriptive and inferential statistics. Our study suggests routine cross-functional synchronous FCC Council meetings improve perceptions of safety and communication, encourage teamwork, and are more productive when conducted using synchronous rather than asynchronous communication. Clinician participants strongly supported the face-to-face meeting approach and considered such meetings more effective as they are perceived to maintain staff and patient safety as a constant organizational focus. The FCC's perceived effectiveness toward improving healthcare facilities maintenance planning centers on engaged leadership, the inclusion of diverse subject matter experts, and structured group facilitation. Our results inform health facilities planners of the value the FCC Council brings to an organization by helping to develop organizational buy-in for major facilities renovation projects.

Mobile crowdsourcing-based data collection for user-centered facility maintenance management

Current facility maintenance management (FMM) practices rely heavily on data collection by facility management professionals and FMM systems and, at times, results in inefficiency in facility condition data collection and decision-making for FMM. This is partially because data collection enabled by existing FMM systems lacks (1) top-down information solicitation on facility conditions, such as crowdsourcing task division, and (2) geo-referenced occupant feedback data. Mobile crowdsourcing has great potential to improve current FMM practices, especially in terms of timely data collection. In this context, this study explores the feasibility of mobile crowdsourcing for FMM data collection and highlights the associated opportunities and challenges. A survey was conducted on a university campus to gain an understanding of the human, data, system, geospatial, and automation characteristics of mobile crowdsourcing for FMM data collection on post-secondary campuses. The survey results were confirmed by FM professionals through a focus group discussion and analyzed to reveal the challenges and recommendations for mobile crowdsourcing for user-centered FMM. A conceptual framework is proposed to apply mobile crowdsourcing to the FMM. This research contributes to the body of knowledge by synthesizing the challenges and opportunities associated with mobile crowdsourcing-based data collection for facility maintenance and providing a framework for its application.

Facility operation and maintenance management model for small and medium-sized hotels in Turkey

Facility operation and maintenance management model for small and medium-sized hotels in Turkey

Building Information Model and Optimization Algorithms for Supporting Campus Facility Maintenance Management: A Case Study of Maintaining Water Dispensers

Effective management for the maintenance of water dispensers dispersed throughout an academic campus is essential for ensuring the quality of drinking water. Conventionally, water dispenser maintenance is conducted approximately bimonthly or when a passive fault notice is obtained. This maintenance frequency usually results in ineffective allocation of maintenance staff and poor maintenance quality. This study proposes a new model for campus facility maintenance management that enables maintenance staff to maintain water dispensers at the optimal time and select the shortest maintenance path. The proposed model was developed using the maintenance information of the Construction Operations Building Information Exchange obtained from building information models of multiple buildings, water dispenser operation data from a water dispenser monitoring module, and an optimization algorithm developed by integrating Dijkstra’s algorithm, simulated annealing, and a genetic algorithm to identify the shortest maintenance path. The proposed model was tested on a campus in Northern Taiwan. The application results revealed that maintenance strategies could be systematically established to determine the optimal time to dispatch maintenance staff based on the lowest unit cost criterion; this approach was also used to identify the shortest maintenance path through multiple buildings.

Investigation of Demands for Efficient Management of Small-sized Studio Housing : Focusing on Gwangju City, Gyeonggi Province

The purpose of this study is to find an efficient management plan for small-sized studio housing and to promote the revitalization of small-sized housing. Management items were derived by conducting a preliminary research survey, and questionnaires were produced. The analysis results are as follows. First, as a result of the T-test analysis of the corresponding sample, there were significant differences between the importance and performance of 8 items of safety, 6 items of sociality, 4 items of vitality, 6 items of representativeness, and 6 items of health. Second, the demand was calculated by the Borich demand formula, and the Locus for Focus graph was derived. The priority management items for small-sized studio houses include safety crime prevention management items, safety fire management items, safety electrical facilities safety management items, safety facility maintenance management items, and health-related surrounding odors, hygiene management items, and safety surrounding traffic. Safety management items, representative organization