Maintenance Of Facilities Research Articles

Optimizing facility maintenance planning under uncertainty

Maintenance of civil infrastructure is necessary to ensure assets perform as intended over their service life. As these elements age and degrade, appropriate repair planning helps ensure continued operation. Unfortunately, optimal repair planning can be complex due to uncertainty regarding component conditions. This uncertainty also makes budgeting difficult. This paper presents a novel methodology for optimizing maintenance planning of facility components under uncertainty. The proposed methodology integrates a Markov chain Monte Carlo process to capture the uncertainty inherent in equipment degradation, and a mixed integer programming model to generate an optimal repair plan and an associated minimized budget. This approach identifies an optimal set of facility components that need to be repaired to minimize the total facility repair cost required to meet or exceed a user-defined goal for facility health. The proposed method has distinct advantages over many non-linear approaches in literature as it can guarantee an optimal solution with significantly lower computational time. This computational advantage enables the technique to scale to more significant problems, such as determining repair plans across a portfolio of facilities. The method outperforms basic decision heuristics used to define repair plans and existing non-linear optimization methods in terms of consistently meeting a facility health metric at a minimal cost. Data obtained from the U.S. Army Corps of Engineers is used within a case study to demonstrate the feasibility of the proposed approach as it applies to building infrastructure maintenance.

Persepsi Kelompok Tani Nelayan Segara Asih terhadap Pengembangan Wisata Bahari di Pantai Bias Munjul, Dusun Ceningan Kangin, Desa Lembongan, Kabupaten Klungkung

Perceptions of the Segara Asih Farmers and Fishermen Group on the Development of Marine Tourism at Bias Munjul Beach, Ceningan Kangin Hamlet, Lembongan Village, Klungkung Regency
 Nusa Ceningan with an area of 306 hectares has the potential as a place for tourism development, one of which is Munjul Bias marine tourism. Thus, this study aims to analyze perceptions and determine the factors supporting and inhibiting the development of marine tourism at Bias Munjul Beach, Lembongan Village. The research was conducted at Bias Munjul marine tourism from the end of April to July 2021. Data was collected through questionnaires and in-depth interviews. The data analysis used is a qualitative-quantitative descriptive analysis. The results showed that the overall level of perception could be categorized as "Strongly Agree". Then, the supporting factors for the development of Bias Munjul marine tourism are the tourist attractions, the availability of sea transportation, and the high participation of the community. Meanwhile, the biggest inhibiting factor is accessibility and government support. Suggestions that can be given are to immediately improve internal management, increase promotions, optimize facility maintenance, and immediately resolve road access problems, so as to support the development of Bias Munjul marine tourism in the future.

A scheduling model of civil aircraft maintenance stand based on spatiotemporal constraints

PurposeMaintenance stands are the most valuable maintenance resources and provide the necessary maintenance space and maintenance facilities for aircraft maintenance. To expand the maintenance market, maintenance, repair and overhaul (MRO) urgently need to achieve a reasonable schedule between aircraft maintenance requirements and maintenance stand capability to improve aircraft maintenance continuity and reduce the risk of scratching due to aircraft movement. This study aims to design a maintenance stand scheduling (MSS) model based on spatiotemporal constraints to solve the problem of maintenance stand schedules.Design/methodology/approachTo address the problem of maintenance stand schedules, this study introduces mixed-integer programming algorithm to design the MSS model on the basis of classical hybrid flow shop structure. When designing the optimization objective function of MSS modeling, the spatiotemporal constraints are mainly considered. Specifically, first, the spatial constraints between maintenance stands are fully considered so that more aircraft can be parked in the workshop. Second, the optimization objective is designed to minimize the number of aircraft movements by defining multiple maintenance capabilities of the stand. Finally, a solution based on spatiotemporal constraints is proposed in the solving process.FindingsA set of MRO production data from Guangzhou is used as a test data set to demonstrate the effectiveness of the proposed MSS model.Originality/valueThe types of maintenance stands are defined and divided into four categories: fixed stand, temporary stand, half-body stand and engine ground test stand, which facilitates optimal modeling; a new scheduling model is designed considering both temporal constraints and spatial constraints, which can improve both the utilization of maintenance stand and safety (reduce the risk of scratching between aircraft).

ANALYSIS OF NOISE INTENSITY IN THE RAILWAY FACILITY MAINTENANCE WORK ENVIRONMENT

One example of work that has a high risk of work in the world of railways is the maintenance of railway facilities. One of the risks posed comes from the noise generated from the maintenance activities carried out. This study used a Soundlevel Meter tool to measure noise intensity in the railway facility maintenance work environment. The measured noise level is the equivalent noise level. This study also seeks to find out the impact and what impact prevention steps have been taken. The equivalent noise level in the work environment, especially in the final test, is 90.82 dB. The impact of noise experienced includes physiological disorders, psychological disorders and social disorders. Common physiological disorders experienced by facility nurses are the appearance of nausea, insomnia and shortness of breath. This feeling of discomfort will diminish and become less and less felt after some time. In the sense of hearing is also not found permanent interference. Psychological disorders can be in the form of discomfort, lack of concentration, insomnia, emotional instability, feelings of irritability to colleagues and superiors, and feeling tired quickly. One form of social disorder that can appear is masking effect, which is a lack of clear communication due to sounds that cover hearing. Noise control carried out is by isolating (separating facility nurses from noise sources), periodic toolbox meetings, administrative arrangements (setting working hours and facility nurses), providing K3 training, routine health checks, and using PPE properly and correctly.

Pengaruh Kinerja Dinas Perhubungan dalam Peningkatan Retribusi Terminal Kota Medan

The Department of Transportation is a type of organization that focuses on maximizing productivity so that the desired results can be achieved. The method used in this study is the scribent method, which utilizes quantitative data with a high need for organizing, analyzing, and evaluating all available facts using a technique called time series analysis of product. The North Sumatra Transportation Service revealed that from the following three indicators all of them were quite successful in highlighting new investment data, especially when comparing the capitalization of new investments with future new investments. To increase economic growth. The municipal government of Medanm continues to improve terminal development techniques, especially maintenance of terminal facilities. Many issues have arisen in the process of increasing the speed of tax collection during terminal deployment by the North Sumatra Transportation Agency, and many tasks have been approved by the organization.

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.

A computationally inexpensive method to outsource facility maintenance services through the internet in real-time

The paper introduces a real-time framework for selecting maintenance contractors to address building facility breakdowns promptly and cost-effectively. A faster and resource-efficient approach utilizing a Mixed Integer Linear Programming (MILP) method is proposed to achieve this. The method optimizes contractor selection by leveraging structured linked data and integrating maintenance into the Internet of Things (IoT) framework, reducing processing time. Implemented initially for elevator systems, this framework can be extended to other mechanical and electrical systems in buildings. It consists of three modules: the building's integrated data module, the application module, and the maintenance provider module. The first module integrates building databases through structured linked data, establishing a centralized information source. The second module employs mixed integer linear programming to select contractors based on cost, time, previous services quality score, and maintenance urgency. The third module facilitates communication between contractors and the building facility manager, enabling maintenance requests and offers. The MILP model considers budget and time constraints, as well as maintenance urgency to prioritize immediate maintenances. A case study demonstrates that this model offers a fast and effective information processing solution. The results indicate that the proposed framework significantly reduces decision-making time for facility managers, streamlining contractor selection. Furthermore, compared to conventional methods, this framework provides a more efficient and effective automated maintenance decision-making solution, thus making a valuable contribution to the field of building maintenance management.

Production planning in maintenance facilities under uncertain repair time

Production planning in maintenance facilities that rely on the availability of certified operators is a challenging task. This is primarily attributed to the need for the integration of workforce training with the operations schedule, in addition to the uncertain repair time of some components. We confine our attention to the repair and overhaul of advanced technological devices that are composed of several components. In this context, this study proposes a novel approach to embedding uncertain repair times of faulty components and develops a multi-stage stochastic programming model for integrated production and workforce planning in such facilities under independent random repair time. Our numerical experiments conducted on a range of problem instances expose the significant value of incorporating repair time uncertainty in this problem.

A deep feature learning method for remaining useful life prediction of drilling pumps

Remaining Useful Life (RUL) prediction of drilling pumps, pivotal components in fossil energy production, is essential for efficient maintenance and safe operation of such facilities. This paper introduces a deep feature learning method that combines a Convolutional Neural Network (CNN)-Convolutional Block Attention Module (CBAM) and a Transformer network into a parallel channel method to predict the RUL of drilling pumps. Specifically, two parallel channels independently extract time-frequency domain and time-domain features from strain signals and then proceed with degradation estimation through feature learning. The deep features derived independently from the two channels are subsequently amalgamated to predict the RUL of the drilling pump. The proposed method is validated by the operational data from four operating drilling pumps. The comparative analysis confirms the higher accuracy of the proposed method over several existing state-of-the-art approaches. Overall, the proposed method supports the safe and cost-saving-oriented operation and maintenance of drilling pumps.

К ВОПРОСУ РАЗВИТИЯ И ЭКОНОМИЧЕСКОЙ ЭФФЕКТИВНОСТИ МЕЛИОРАТИВНОЙ ОТРАСЛИ РЕСПУБЛИКИ ТАТАРСТАН

Sustainable and efficient production of agricultural products, regardless of the influence of weather and climate factors in the zone of risky farming, is largely possible only with the widespread introduction of land reclamation measures. The research was carried out with the aim of studying the current state of the reclamation industry in the Republic of Tatarstan and developing scientifically based ways of its development. In the course of the studies of the economic efficiency of irrigated agriculture in the republic, it was found that in potatoes production due to irrigation, the yield increases from 3.89 to 4.2 times, and the marketability of finished products due to improved quality and standardization of tubers by 2.58 times. It was revealed that with a potato marketability of 80%, the net income per 1 ha is 495.9 thousand rubles. The net income from 1 ha of corn for silage under irrigation is 52.4 thousand rubles. This suggests that one ruble spent on irrigation allows farms to receive up to 12 rubles of additional production in the production of grain crops. And in the production of vegetables and marketable potatoes - up to 40 rubles. The cultivation of perennial crops on irrigation makes it possible to obtain up to four full-fledged cuttings, which makes it possible to provide the livestock industry with a reliable fodder base. At this stage of development of the reclamation industry of the Republic of Tatarstan, about 1.5% of the arable land of the Republic is under irrigation reclamation, it produces up to 18.5% of the gross crop production. However, the widespread introduction of land reclamation elements by agricultural producers is limited due to a number of reasons. This series includes: the high cost of restoration, construction, operation and maintenance of reclamation facilities and their network, the lack of technical and financial resources for agricultural enterprises, the need for preliminary costly survey and design work to obtain design estimates (DED). According to expert estimates, to provide food for the inhabitants of the Republic of Tatarstan, it is necessary to have at least 150 thousand hectares of irrigated land, against the currently available 35 thousand hectares. Achieving the indicated value of irrigated lands is not possible without the adoption of a comprehensive program for the development of melioration and agrolandscape farming system, which should be adequately financially secured for the implementation of program activities.

The Policy of the Youth Sports and Tourism Office in Developing Sports Tourism in East Ogan Komering Ulu Regency

Disporapar Ogan Komering Ulu Timur Regency as implementing policies in the field of Sports Youth and Tourism, aims to develop sports tourism in East Ogan Komering Ulu district. The aim of this research is to find out the policies of Disporapar of Ogan Komering Ulu Timur district in developing sports tourism, the factors that support and hinder policies in developing sports tourism, the response and participation of the community in sports tourism development programs. The method used in this research is using descriptive qualitative. Data collection techniques using observation techniques, interviews, and documentation or data triangulation. The main data sources or research subjects are the Head of East Ogan Komering Ulu District Disporapar, managers of tourist destinations, and the community. Research results: Indicates that the inhibiting factor in the development of sports tourism is the source of funds, because for the maintenance of sports tourism facilities and for holding events at sports tourism destinations, then the supporting factors, namely the completeness and condition of sports tourism facilities and infrastructure, are very good for used for visitors, plus the enthusiasm and interest of the community for sports tourism is very high, thus the need for coordination from various parties to achieve the development of sports tourism. Conclusion: In the development of sports tourism, it is necessary to pay attention to many aspects. One of the important aspects is that the coordination of all parties must go well, so that the desired goals can be achieved in developing sports tourism, and then must pay attention to elements such as funding, management, availability of human resources Human resources, socialization of the implementation of the sports tourism development program, the quality of the facilities and infrastructure used, and community participation so that it can become an attraction for people to go on sports tours.

Structural violence and the subversion of participatory planning—the struggle for the Warwick Market in Durban, South Africa

Deprivation, poverty, inequality, forced displacement, psychological harm, lack of public participation in planning and benign neglect are examples of structural violence in cities. In the case of benign neglect, public facilities are deliberately neglected in terms of maintenance and provision of basic facilities—a form of ‘slow violence’. Drawing from qualitative data sources that included participant observation, consultations with legal advisors and court hearings, this paper analyses the different forms of structural violence that were used in early 2009 in the city of Durban to try to replace the century old Early Morning Warwick Market which catered for the poor working class, with a mall. The Municipality’s participatory and consultative approach to upgrade the Warwick Avenue Triangle in the first democratic decade (1994–2004) is contrasted with the subversion of participatory planning in the second democratic decade (2004–2014), as Durban prepared for FIFA 2010. The mall development would have resulted in the loss of an important part of Durban’s history, heritage and culture. A key contention of this paper is that the fatally flawed neoliberal planning fiasco in Warwick Avenue was driven by a top-down process which favoured private corporate interests. The mall project was presented as a public–private partnership. However, in such partnerships local democracy is compromised as the fiscal prospects of local governments become dependent on the business decisions of the private sector. There were serious contradictions evident in the juxtaposition of large-scale public-private partnerships such as the mall, and the threats to displace low-income traders, a process which David Harvey called ‘accumulation by dispossession’. The historical and political processes of accumulated and incremental neglect and stigma which encapsulate ‘slow violence’ contributed to the decay and decline of the Early Morning Market. Attempts to displace traders and replace the market with a mall was basically a political decision, aided and abetted by some senior members in the ruling ANC government hierarchy—a shameful period in Durban’s democratic history. The threats to displace the traders in the Early Morning Market was a form of structural violence, which was reminiscent of the apartheid era. The structural violence of apartheid-capitalism continues at the level of outcomes (non-participation and displacement) even under a changed political structure (democracy), as the ANC government pursues a neoliberal agenda.

A decomposition algorithm for multi‐item production planning with independent random demand

AbstractProduction planning in a multiproduct setting where the demands for different items are independent random variables that are also featured with a dynamic behavior over the planning horizon is a challenging task. With a particular focus on maintenance facilities, this study proposes a multistage stochastic programming (MSP) model for operations planning under independent random demand of faulty components in the modular‐structured devices (e.g., gas turbines) received for repair and overhaul services. A Lagrangian relaxation‐based decomposition heuristic is also developed to efficiently solve the problem for real‐size instances. This heuristic relies on decomposing the MSP model into submodels corresponding to component STs and coordinating them via a subgradient algorithm to obtain a high‐quality feasible solution. Our numerical experiments conducted on a range of problem instances endorse the significant value of incorporating demand uncertainty and the effectiveness of the proposed solution methodology in overcoming computational complexity.

Spatial Memory of BIM and Virtual Reality: Mental Mapping Study

Acquiring accurate spatial memory is critical to many architecture, engineering, construction, and facilities maintenance (AECFM) tasks. The literature has recognized that spatial memory (i.e., the memory of locations and spatial relationships) quality can be affected primarily by visualization methods, i.e., the formats in which spatial information is visualized and presented. In addition to traditional two-dimensional (2D) drawings, emerging visualization methods, such as building information modeling (BIM)-based models and virtual reality (VR), provide more options to visualize complex spatial information in an immersive and interactive way. Although it is well recognized that new visualization methods can benefit performance in many spatial tasks (i.e., tasks that rely or partially rely on spatial memory), there is a lack of explicit evidence about how they affect spatial memory development. Many studies used spatial task performance and spatial memory quality interchangeably, which actually are distinct. This paper presents findings of a mental mapping method (i.e., hand sketching the memorized locations and spatial relationships) to directly measure a person’s spatial memory quality of different building components and layouts. First, a human-subject experiment (n=63) was performed in which participants were instructed to review a building model with varying visualization methods [2D, BIM-based three-dimensional (3D), and VR]. Then participants were required to sketch the memorized building landmarks and layouts as an explicit measure of the spatial memory quality, followed by an inspection task in the real building. The result showed a significant impact of visualization methods on the quality of spatial memory, which was not correlated with the inspection performance. The findings suggest that explicit mental mapping measures instead of final task performance are needed for evaluating spatial memory in AECFM tasks.

Application of a fuzzy multi-criteria decision framework for safety-critical maritime infrastructure evaluation

This present paper is an investigation of a framework for Safety-Critical Maritime Infrastructure (SCMI) evaluation. The framework contains three Multi-Criteria Decision-Making (MCDM) tools, namely: fuzzy Step-wise Weight Assessment Ratio Analysis (SWARA), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Weighted Aggregates Sum Product Assessment (WASPAS). It also contains five safety practice criteria: people's safety, property safety and monitoring capabilities, response to regular and irregular threats in a robust yet flexible manner, and breaches in physical security. The framework has four safety culture criteria: learning from experience and inter-element collaboration, lack of facility maintenance, and anticipating risk events and opportunities. Through the framework, an evaluation of the safety practices and safety culture of six Nigerian seaports is done. Then, data obtained from the ports in regard to their safety practices and culture were analysed in line with the framework identified and adopted. The results revealed that the safety of people's life is the most important safety practice and contributed about 47.90% to evaluate the SCMI. Results equally showed that the most significant safety culture is learning from experience, and accounted for approximately 53.20% in assessing the SCMI. Similarly, the TOPSIS method ranked Warri (A5) and Tin Can Island A1 as the best and worst safety practices performance, respectively. Results of analyses on the TOPSIS showed that Apapa port (A2) and Onne port (A6) had the best and worst performances correspondingly. WASPAS was also analysed. The results indicated that A6 performed the best safety practice performance, while A2 had the worst safety practice performance. Analysis of the WASPAS method was equally done. It showed that A1 had the worst safety culture performance, while A5 had the best safety culture performance. Therefore, the proposed framework could serve as a veritable tool for analysing SCMI by using safety practice and safety culture criteria.

МАТЕМАТИЧЕСКАЯ МОДЕЛЬ ОПЕРАТИВНОСТИ РЕМОНТА АВТОМОБИЛЬНОЙ ТЕХНИКИ

The use of a probabilistic approach is proposed in the modeling task. Several repeatable groups of the same type of operations are considered - the search for the cause of failure and its elimination. Based on the experience of previous repairs of the same type of car components, the distribution series of values Pm (probability of repair of certain nodes) and Pn (probability of failure of certain nodes) are set. The model takes into account the qualifications of engineers and technicians of the service station, the availability and capabilities of mobile and stationary monitoring and repair facilities. After determining the probability of correct troubleshooting and planning a certain algorithm of maintenance operations, the repair efficiency is estimated as the ratio of the probabilities of performing repairs for a given time and the average repair time. The desired probability density, given the multiphase nature of the process, is determined by the method of multiple convolution. The resulting model allows us to solve two reciprocal problems. Firstly, to determine the optimal repair time, provided that diagnostic and repair tools are equipped, as well as the qualifications of technical workers. Secondly, at a given repair time, determine the required characteristics of diagnostic equipment, maintenance facilities and personnel.

주택 재건축사업 제고를 위한 조합원 선호 요인 분석

The housing reconstruction project is an essential process for the city to further develop and modernize. The demolition of existing buildings and the construction of new buildings play a major role in improving the infrastructure and residential environment of the area. The housing reconstruction project is a government-regulated project aimed at reorganizing existing urban areas and improving them in functional, environmental and social aspects. These projects are mainly aimed at densely populated areas or areas that are structurally old and need improvement, and are promoted for the purpose of urban regeneration, efficiency of land use, and residential environment improvement. Therefore, in order to facilitate the reconstruction project, it is suggested that the reconstruction conditions required by the members be examined by referring to the preference factors of the members, and the results of the survey analysis are presented as follows. First, in the internal environment, four factors show significant preference factors: ⅰ) structure, ⅱ) storage space, ⅲ) noise, and ⅳ) finishing materials. Second, public facilities have four significant preferences: parking facilities, public facilities, safety facilities, and safety. Third, as for the external environment, four factors such as public transportation, convenience facilities, educational environment, and parks around them show significant preference factors. Fourth, facility management shows significant preference factors: ⅰ) cleaning status, ⅱ) facility maintenance, and ⅲ) safety management.

Masjid Friendly: Mosque Based Economic Empowerment

Background. This research aims to offer a friendly mosque movement. The friendly mosque movement aims to make the mosque the main base in empowering the people's economy by referring to QS. at-Taubah (9): 18. Purpose. To examine this in this study, researchers used the type of library research (literature study), using primary and secondary sources, and using data analysis techniques which include data reduction, data presentation, and verification. Method. Of these four programs, it can be realized in the form of a friendly mosque movement that can be used as a foundation for the economic empowerment of the people. Results. The results of this study are the friendly mosque movement through three management instruments, namely: 'idarah (management); 'imarah (pemmukran); ri'ayah (maintenance and procurement of facilities), can realize four programs which include: 1) Eco-Masjid Program; 2) Independent Mosque Program; 3) Productive Mosque Program; 4) Child Friendly Mosque Program. Conclusion. If the idea of a friendly mosque with these four programs is applied to 290,161 mosques in Indonesia, then the economic problems of the people will be solved and the mosque will be the main instrument in solving these social problems.

Bootstrap-LOCI data mining methodology for anomaly detection in buildings energy efficiency

An automated methodology is proposed to identify anomalies in buildings’ HVAC systems, through Local Correlation Integral (LOCI) algorithm, improved by Bootstrap to obtain a rule from its score distribution. It has been performed to solve the case study of anomaly detection for HVAC facilities maintenance in a clothing store in Panama. It is defined by a dataset composed of 24 daily readings recorded during 434 days. In each reading, 15 critical quality variables for thermal comfort and energy efficiency were monitored. For algorithm training, anomalous events recorded by HVAC system operators are considered. In this stage, the LOCI parameters that best fit the data are estimated, to obtain a score for each of the observations and then study their distribution by applying Bootstrap techniques to improve the classification performance. For the algorithm performance evaluation, cross-validation is used and from these results, it is compared with two benchmark supervised classification methods such as Logistic Regression and Support Vector Machines with polynomial kernel. The LOCI method has been improved by the application of bootstrap resampling, providing estimates of the LOCI score distribution and a critical value from which we define an anomalous observation. It provides the best balance between real anomaly detection and prevention of false alarm identification than current proposals for LOCI.

Моделирование жизненного цикла здания спортивного комплекса на стадии проектирования, эксплуатации и реконструкции

Building Information Modeling (BIM) and lifecycle management (PLM) is becoming an innovative way of virtual design and project management. In recent years, corresponding successes have been achieved in the field of modeling, analysis, design, monitoring and maintenance of facilities. The construction industry is currently undergoing a transition to a life-cycle-oriented design philosophy.
 This study examines the modeling of the life cycle of a building at the stage of design, operation and reconstruction in the Revit software package.