Complex Facilities Research Articles

Knowledge-oriented management systems for complex objects

The article examines the issue of improving the efficiency of complex systems management through the use of knowledge-based methods and technologies. The article emphasizes the need to revise traditional approaches to scientific research and knowledge management by introducing a transdisciplinary paradigm and artificial intelligence to achieve sustainable development and knowledge evolution. The authors try to solve the problem of management in the face of uncertainty and incomplete information, which is typical for such systems. The methods of integrating knowledge from different fields to create an integrated management system are considered. The basis of management is the holarchic structure, which organizes the system in the form of a hierarchy of holons. Each holon has a specific role and knowledge, which ensures the flexibility and adaptability of the system. The study also uses self-organization and learning methods to ensure continuous improvement of the systemʼs functioning. The article discusses the requirements for knowledge-based management systems, such as flexibility, adaptability, data and knowledge integration, learning and self-organization, transparency of decisions, and resilience to errors and failures. The findings of the study emphasize the importance of implementing knowledge-based approaches in the management system of complex facilities. This allows to increase the level of adaptability and stability of management, which is critical in todayʼs environment of dynamic development of technology and knowledge. The proposed methods can be applied in various fields, which makes them universal and useful for a wide range of scientific and practical tasks, providing a high level of adaptability, efficiency and stability of complex objects management, taking into account modern requirements and challenges.

Big Science in physics: a look at the decade ahead

Abstract For decades Big Science facilities in physics and astronomy have attempted to answer some of the biggest questions possible – how did the Universe begin, how will it end, what are the fundamental constituents of matter? Tackling these questions has resulted in building bigger, ever more complex facilities. Yet with it comes costs and delays when pushing the boundaries of technological knowledge. This paper briefly reviews some of the big projects in physics and astronomy in recent years as well as looking at what lies ahead in the coming decade.

Far-field sub-diffraction focusing and controlled focus shaping of circularly polarized light using a dielectric phase plate

In recent years, sub-diffraction focusing has received substantial attention due to its versatility. However, achieving a flexible sub-diffraction focusing in the far field remains stimulating. Existing techniques either require complex fabrication facilities or are limited to the short focal length and high numerical aperture (NA) of the imaging system. Here, we introduce an optimization method for sub-diffraction focusing of a circularly polarized beam in the far field with a lens of large focal length. A cost-effective dielectric phase plate serves the purpose. By employing a phase plate composed of a thin layer of dielectric Si3N4, the phase of the propagating beam is modulated in the beam’s cross-section, which is divided into two regions of the opposite phase by the plate. A sub-diffraction focusing is achieved for a proper tunning between the two regions. In addition to sub-diffraction focusing, the phase plate is also capable of shaping the focus into a doughnut-shaped and a flat-top profile in the far field. This design provides a simple solution for sub-diffraction focusing and focus shaping that will find potential applications in optical imaging, optical trapping, and material processing.

Maximum temperature of steel bridges due to multiple under-bridge fire sources

In this study, an analytical model was developed and predictive equations were proposed to estimate the maximum temperature of steel bridges in the event of a fire originating from complex facilities beneath the bridge. Based on statistical data, a representative shape of steel bridges in South Korea was selected. A representative Heat Release Rate (HRR) curve for the complex facility was selected, and a parametric study was conducted, including variables such as Heat Release Rate Per Unit Area (HRRPUA), fully developed time, vertical clearance, and the area of the complex facility. Through correlation analysis, key parameters influencing the maximum temperature in steel bridges were examined. Based on the results, both linear and non-linear temperature prediction equations were suggested. The non-linear equation demonstrated higher predictive performance than the linear equation. This study provides foundational data for enhancing the accuracy of fire analysis methods and temperature prediction models for steel bridges.

Identification of Sources of Complexity in Various Types of Building Projects in India Based on Design and Performance Attributes

Building projects as sub-sect of construction projects are complex and different in design and performance attributes. The prominent classes of building projects are high-rise residential buildings, hospitals, hotels, general offices, retail buildings/malls, educational institutions, and warehouses. In this study, building projects have been classified based on their end use. Complexities vary between construction projects and within various types of building projects, as well as across regions and countries. Understanding the sources of complexity is imperative to strategize their successful development. This research paper attempts to identify the sources of complexities using the design and performance attributes of seven prominent building types. A survey was conducted through experienced architects and construction professionals (the mean years of experience being approximately 13.88 years) over 34 different attributes or parameters under six categories. These attributes have been shortlisted from past research work by various authors, and the pilot study for this project. The Kruskal-Wallis Test was used to calculate the mean ranking and to confirm that the medians of each building type were not the same when compared against each attribute, irrespective of the level of complexity. Using data analysis and the mean ranking scores as a representation of relative complexity, primary sources of complexity in each class of buildings have been identified and listed. The results indicate that hospitals (as a building typology) are relatively the most complex building facilities in terms of design and performance attributes, showing the highest mean ranking towards 16 attributes (with only one shared ranking). Hospitals are followed by retail/malls (10 with one shared ranking), hotels (3), high-rise residential buildings (4), educational institutions (2), general offices (0), and warehouses (0). Strategies to manage these attributes have been proposed for each building typology so that the risks emanating from the complexities of these building projects can be mitigated and effectively managed at the design stage.

Pengaruh Teknologi Informasi Dan Fitur Layanan Terhadap Keputusan Nasabah Menggunakan Aplikasi BSI Mobile (Studi Kasus Bank Syariah Indonesia KCP Palembang Demang)

The role of technology in the banking world is absolute, where the progress of the banking system has been supported by advances in information technology. The increasingly developed and complex facilities offered to facilitate service, if the Mobile banking application has complete service features, is easy for customers to use, this is one of the factors that can determine customers' decisions in using the application. This research aims to determine the influence of Information Technology and Service Features on Customer Decisions using the BSI Mobile application (case study of Bank Syariah Indonesia KCP Palembang Demang). The method used in collecting data is through a questionnaire using a Likert scale. The sample used was 100 respondents using purposive sampling. The data analysis technique used for the questionnaire was validity and reliability testing, classical assumption testing, hypothesis testing with data processing using IBM SPSS Statistics version 26. The results of this research show that information technology has no influence on customer decisions, and service features positively and significantly influence customer decisions, besides that information technology and service features simultaneously have a positive effect on customer decisions.

Challenges of radiation measurements in an institute with various large-scale research facilities

The Paul Scherrer Institute is a unique Swiss research institute that operates five large-scale research facilities in which different types of particles, such as electrons, protons, neutrons, pions and muons, are accelerated or produced. Depending on the facility and location, the operational radiation protection has to deal with challenging measurements of mixed radiation fields, which can be in addition pulsed and of high-energy. In this article, we provide insight into the associated demands and challenges using two examples with different requirements for the monitoring technology. Using the example of the high-intensity proton accelerator (HIPA), the measurement technology around high-energy accelerators is examined in more detail. On the other hand, the problems of measuring technology for pulsed radiation and its dynamic range are discussed using the example of the Swiss X-ray free electron laser SwissFEL. The aim of this paper is to highlight the different requirements and technical challenges in radiation measurements for such complex facilities and, thus, to raise awareness and provide a stimulus for further developments in measurement technology.

Survey of VA Laboratory Practices for Carbapenem-resistant Acinetobacter baumannii and Pseudomonas aeruginosa

Background: Carbapenem-resistant Acinetobacter baumannii (CRAB) and Pseudomonas aeruginosa (CRPA) are drug-resistant pathogens causing high mortality rates with limited treatment options. Understanding the incidence of these organisms and laboratory knowledge of testing protocols is important for controlling their spread in healthcare settings. This project assessed how often Veterans Affairs (VA) healthcare facilities identify CRAB and CRPA and testing practices used. Method: An electronic survey was distributed to 126 VA acute care facilities September-October 2023. The survey focused on CRAB and CRPA incidence, testing and identification, and availability of testing resources. Responses were analyzed by complexity of patients treated at VA facilities (High, Medium, Low) using Fisher’s exact tests. Result: 77 (61.1%) facilities responded, most in urban settings (85.4%). Most respondents were lead or supervisory laboratory technologists (84.2%) from high complexity facilities (69.0%). Few facilities detected CRAB ≥ once/month (4.4%), with most reporting that they have not seen CRAB at their facility (55.0%). CRPA was detected more frequently: 19% of facilities with isolates ≥ once/month, 29.2% a few times per year, and 26.9% reporting had not seen the organism. No differences in CRAB or CRPA incidence was found by facility complexity. Nearly all facilities, regardless of complexity, utilize the recommended methods of MIC or disk diffusion to identify CRAB or CRPA (91.9%) with remaining facilities reporting that testing is done off-site (7.8%). More high complexity facilities perform on-site testing compared to low complexity facilities (32.0% vs 2.7%, p=0.04). 83% of laboratories test for Carbapenemase production, with one-fourth using off-site reference labs. One-fourth of facilities perform additional antibiotic susceptibility testing for CRAB and CRPA isolates, most of which test for susceptibility to combination antibiotics; no differences between complexities were found. Agreement that sufficient laboratory and equipment resources were available was higher in high complexity than in medium complexity facilities (70.7% vs 33.3%, p=0.01), but not low complexity facilities (43.8%). Conclusion: Having timely and accurate testing protocols for CRAB and CRPA are important to quickly control spread and reduce associated mortality. This study shows that most VA protocols follow recommended testing and identification guidelines. Interestingly, there was no difference in CRAB or CRPA incidence for facilities providing higher vs lower complexity of care. While high and low complexity facilities generally reported sufficient resources for CRAB and CRPA evaluation, some medium-complexity labs, who may feel more compelled than low-complexity labs to bring testing in house, reported that additional resources would be required.

Целесообразность создания пилотной площадки по отработке безопасной эксплуатации технико- технологических средств для освоения длительнозамерзающих акваторий арктических морей

The Russian sector of the Arctic shelf to the east of the Kara Sea has been very poorly studied by seismic exploration and drilling. It is conditioned by several causes, one of which is the short ice-free period in combination with the remoteness from the shore bases, which significantly hampers operations making them extremely expensive and resource-consuming. The development of natural resources in conditions specific to the Kara Sea and to the east of it is restricted by the depths of the use of ice-resistant platforms and remoteness from the shore bases for subsea production systems. Various experts consider the perspective solutions of the implementation of subsea manned and unmanned drilling and production systems as concepts. At the same time, the existing technologies and the deep drilling technique are creatively reconsidered; the conclusion regarding the inapplicability of the currently used solutions for subsea wellhead drilling has been made. A specific focus has been made on the safety of the future oil and gas production facilities in the Arctic, considering both the operation of highly hazardous and complex manned underwater engineering facilities and the current strained geopolitical situation and the threats of terrorism. It is supposed that testing of perspective engineering solutions and technologies will be more efficient not only in conditions of plant testing laboratories and centers but also at the test site with maximally realistic conditions of the future operation. The analysis of potential test sites in accordance with selected criteria has chosen the Murmansk gas field in the southeast part of the Barents Sea as a prospective facility. Due to the large scale and complexity of the long-term challenge (20–30 years), a conclusion is made about the role of the state as an initiator and coordinator of the project involving the oil and gas companies concerned (Rosneft, Gazprom), scientific centers, and equipment manufacturers.

Organizational Readiness for Change Depends on Facility Complexity When Developing a National Stewardship Intervention

Introduction: The organizational readiness for change assessment survey (ORCA) is a tool to assess a site’s readiness for implementation and identify barriers to change. As the “Kicking CAUTI” antibiotic stewardship intervention rolled out on a national scale, we administered ORCA surveys to participating sites to capture baseline actionable information about differences among sites, to inform implementation. Methods: ORCA surveys were distributed by email to prescribing providers, nurses, pharmacists, infection preventionists, and quality managers at 40 participating VA Hospitals. VA hospital sites who submitted three or more surveys and their complexity level (measured as Level 1 (highest)-3) were included in the analysis. The highest complexity level facilities are those with the largest patient volume/risk, teaching and research, along with the largest number of physician specialists and contain at least five ICUs. Mean Likert scores were calculated for each of the 7 ORCA subscales on a scale of 1-5 (5 highest), and the mean of the 7 subscales was the overall ORCA score for a site. Non-parametric testing was performed comparing overall ORCA and each subscale based on complexity. Results: Among the participating sites, 30/40 (75%) completed at least three surveys, with a total of 202 surveys included for analysis, with 82% of surveys coming from higher complexity centers (Level 1). The highest ranked ORCA domain was the evidence subscale (measures perceived strength of evidence), mean 4.2, (SD 0.7). The lowest ranked ORCA domain across sites was resources (available to facilitate implementation), mean 3.3 (SD 0.9). Higher complexity centers had a significantly higher overall ORCA score than lower complexity centers (Level 1 or 2 vs. Level 3, p= 0.02). This difference was driven by the subscales evidence (p < 0 .01), leadership (p =0.05), measurement (p= 0.06), and resources (p=0.07) all being higher in the higher complexity facilities (Figure 1). Two of the categories (leadership and measurement) pertain to an organization’s leaders ability to create an environment for change to occur as well as promoting team building. Conclusions: The lowest scoring ORCA domain across all sites was the respondents’ perception of resources (staff, training) available for achieving change. Perceived resources were also lower in lower complexity sites, implying that medical centers of lower complexity may have higher barriers when implementing an antimicrobial stewardship intervention. This finding highlights the benefit of a national stewardship campaign that provides support to lower complexity medical centers that may not otherwise receive targeted training and support for their efforts.Disclosure: Barbara Trautner: Stock: Abbvie--sold in December 2023; Abbott Laboratories--sold in December 2023; -Bristol Myers Squibb--sold in December 2023; Pfizer--sold in December 2023; Consultant--Phiogen--consultant. Contracted research through NIAID for STRIVE trial, currently testing Shionogi product; Contracted research--Peptilogics; Contracted research—Genentech

Automated analysis and assignment of maintenance work orders using natural language processing

Maintenance management forms a core component of building facility management, which is particularly important for specialized and complex healthcare facilities. However, existing maintenance management tends to rely on manual processing, which is time-consuming and human error-prone. Recorded maintenance work orders (MWOs) are recognized as good potential data source to support maintenance activities. In this paper, the authors propose a comprehensive framework utilizing natural language processing (NLP) techniques to automate the interrogation of textual data of MWOs that assist in developing maintenance material management and preventive maintenance strategies and transforming maintenance worker assignment from a labor-intensive process to a more automated one. A set of historical MWOs from a hospital was used for model development, and our model achieved an accuracy of 0.83 on worker assignment. This study addresses the difficulty of utilizing work order information due to the unstructured nature of textual data and contributes to better maintenance management practices in buildings.

Digital reconstruction of substation equipment and facility layout via LiDAR point cloud registration

Generating as-built Building information models (BIMs) is promising in power substation construction projects because they can reflect the actual conditions of facilities. However, traditional manual-designed BIMs are different from real-world scenarios due to reality gaps. In this paper, we present a new method of reconstructing the layout of power equipment and facilities in substations using LIDAR point clouds. The proposed method extracts electric equipment and facilities via object segmentation and model retrieval. In particular, we investigate PFH, FPFH and SHOT descriptors for the 3D-SIFT keypoints in the 3D shape retrieval of complex electric equipment and facilities. After the best-match model is retrieved from a model library, the layout of typical electric equipment and facilities is reconstructed by aligning the model to the scene point cloud via point cloud registration. Experimental results validate the effectiveness of the proposed method. The proposed method enhances the efficiency of generating 3D models of power substations.

RUNWAY END SAFETY AREA: OVERRUN AND UNDERSHOT SAFETY RISK ANALYSIS

An airport is a complex facility for passenger and cargo processing, aircraft arrival, departure, and maintenance. Ensuring safe and comfortable flights for its passengers requires implementing aviation security and safety improvements in tandem with the growing number of aircraft in operation. Aviation operators and regulators are always focused on issues and potential incidents that jeopardize aviation safety and security, particularly during the landing and takeoff phases of flight, which include overrun and undershoot occurrences. Therefore, a study is required to determine the event’s probability. By adopting research methods that have been developed by the European Aviation Safety Agency (EASA), this research aimed to analyze the risk of overrun and undershoot at Sultan Syarif Kasim II Airport (SSK II) and Raja Haji Fisabilillah Airport (RHF). The research method is quantitative by comparing data collected with the Target Level of Safety (TLS), which is quantified and recommended by the aviation authority International Civil Aviation Organization (ICAO) and the British Civil Aviation Authority (CAA UK), where the acceptable TLS according to ICAO is 6.6 x 10-7 while according to the UK CAA it is 4 x 10-7. The result showed that the probability value of overrun and undershoot at SSK II Airport averages 0.66 x 10-7 and 2.98 x 10-7 at RHF Airport. This indicates that at RHF Airport, there is a higher possibility of overrun and undershooting risk frequency than at SSK II Airport. The fact that RHF Airport has just one RESA is the primary element affecting the high-risk likelihood at RHF Airport. The chance of overrun and undershoot occurrence frequency dropped to an average of 2.06 x 10-7 after simulating RESA compliance per ICAO regulations.

Deep learning-based prediction of float model performance in floatplanes: A case study on lift-to-drag coefficient ratio

Developing an engineering design is resource-intensive and time-consuming, particularly for the floats of a floatplane design, due to its complexity and limited testing facilities. Intelligent-based computational design (IBCD) techniques, which integrate computational design techniques and machine learning (ML) algorithms, offer a solution to reduce required testing by providing predictions. This paper proposes a deep learning (DL)-based IBCD method for modeling floats' lift-to-drag coefficient ratio (C<sub>L</sub>/C<sub>D</sub>), where DL is one of the most powerful ML. The proposed method consists of two phases: hyper-parameter optimization and DL model training and evaluation. A genetic algorithm (GA) is employed in the first phase to explore complex hyper-parameter combinations efficiently. Evaluation of the predicted C<sub>L</sub>/C<sub>D</sub> of the floats using the DL model resulted in a satisfactory R-squared of 0.9329 and the lowest mean squared error (MSE) of 0,001536. These results demonstrate the ability of DL model to predict the float's performance accurately and can facilitate further design optimization. Thus, the proposed method can offer a time-efficient and cost-effective solution for predicting float performance, aiding in optimizing floatplane designs and enhancing their functionalities.

Study on producing a LAMP kit for diagnosis of small liver fluke Clonorchis sinensisinfection in humans

Background: Clonorchis sinensis is one of the three species of small liver flukes that cause infections in humans. C. sinensis is found mainly in several Asian countries and Northern, Vietnam. The Loop-mediated isothermal amplification (LAMP) with a sensitivity and specificity comparable to that of the PCR method, which requires less complex equipment and facilities for performance. Methods:The research design describes the laboratory experiment and evaluates a LAMP kit for the diagnosis of C. sinensis in the laboratory and the small-scale field assessment, using 150 human stool samples from fascioliasis endemic areas. Results: The LAMP primer sets have been designed and selected; the conditions and components of the LAMP reaction for C. sinensisdiagnosis have been optimised. Evaluation results of the LAMP kit in the laboratory showed a sensitivity of the test was 98.63% (95% CI: 91.92-99.99%); a specificity was 100% (95% CI: 85.25-100%); the limit of detection was 26 gene copies/μl. The LAMP test kit was found to be stable within 12 months at -20±5oC, and 6 months after opening the tubes. The field assessment of the LAMP kit in Ninh Binh province showed a C. sinensis rate of 6.66%, which was similar to the rate obtained from the studies using the real-time PCR method. Conclusions: The research has successfullyproduced a LAMP kit for the diagnosis of C. sinensis that is sensitive >95% and highly specific >95%. The LAMP kit is stable within 12 months at -20±5oC and for 6 months after opening the tubes

Le emozioni nel lavoro o il lavoro delle emozioni? Un'analisi sul ruolo delle emozioni nelle pratiche professionali in ambito ospedaliero

The organisational, socio-technical and cultural changes that are affecting the health sector nat-urally also involve the occupational world and the health professions. Among the various changes in the socio-health ecosystem, there are also experiences from a relational point of view, placing the world of the health professions in the so-called affective turn (Leys, 2011). The role of emotions is therefore increasingly decisive, both when they are expressed and when they are latent, to interrogate and analyse the work of health professionals. At the same time, this (positive) emotional turn and the so-called feeling rules could also lead workers (dif-ferentially) to experience a kind of burnout or in other cases forms of cynicism and detach-ment that can be detrimental to both professional identity and patients. The article aims to ana-lyse these aspects through a qualitative investigation conducted within three complex facilities belonging to the Rizzoli Orthopaedic Institute.

Experimental study of dynamic pressure disturbances in cylindrical pipes filled with liquid

Diagnostics of the condition of main pipelines is an important task to ensure the safe operation of fuel and energy complex facilities. Many technological processes, including emergency ones, cause disturbances in the flow of the pumped liquid, resulting in dynamic disturbances propagating through the pipeline. Using pressure measuring instruments, wave parameters are recorded, by analyzing which it is possible to determine the location of the source and the reason causing this disturbance. In this work, dynamic pressure disturbances propagating through the pipeline of the laboratory installation “Stand with a variable profile for the study of non-stationary processes arising in multiphase hydrocarbon flows” created at Transneft R&D were investigated. Dynamic disturbances are formed due to the selection of part of the pumped liquid into the reservoir. The data obtained during the experiment, from pressure and flow sensors, were processed according to the original method proposed by the authors in order to determine the location of the source of disturbance. A series of experiments was also carried out to assess the accuracy of localization of the disturbance source depending on the amplitude of the pressure wave.

ПРОБЛЕМЫ ОПРЕДЕЛЕНИЯ ВЕСА НА ОБЪЕКТАХ ТОПЛИВНО-ЭНЕРГЕТИЧЕСКОГО КОМПЛЕКСА

Methods for solving the problem of weighing cargo at fuel and energy complex facilities have been studied. Their advantages and limitations are identified, it is established that the choice of method should be based on the conditions and needs for accuracy and availability of equipment, as well as taking into account the characteristics and features of the cargo

Enhancing FM digitalization strategies for shopping complexes amidst post-COVID-19: a case study analysis and improvement insights

PurposeThis study aims to improve the use of digitalization in facilities management (FM) for shopping complex facilities in the post-COVID-19 era. The resumption of economic activities, especially in shopping complexes, poses challenges for FM with throngs of shoppers. To tackle these challenges, enhanced and innovative FM practices are necessary.Design/methodology/approachThe study used a qualitative research approach, incorporating case studies, interviews, observations and documentation. It focused on super-regional shopping complexes in the Klang Valley, Malaysia, selecting two complexes for qualitative data collection. Supplementary data were gathered from various sources, including government policy publications, websites, books, journal papers and archival records.FindingsThe research provides valuable insights into FM innovations and the application of FM digitalization in shopping complexes after the COVID-19 pandemic. It also addresses challenges faced by FM teams during this period. Recommendations for implementing FM digitalization in super-regional shopping complexes post-COVID-19 include developing skilled personnel, defining appropriate work scopes, strategies and policies, using cost-effective software, and increasing occupant awareness. The involvement of outsourced service providers is advised, emphasizing their understanding of the organization’s business model and innovative approaches.Originality/valueThe findings offer new perspectives on the characteristics of FM digitalization in the commercial sector during business disruptions caused by the pandemic. The proposed strategies are grounded in real industry implementations, aiming to enhance the FM digitalization approach for improved business performance.

Interactive simulations as a tool for logistics and maintenance of IFMIF-DONES

Pre-configured virtual reality (VR) simulations of the logistics and maintenance processes have proven to be useful for identifying potential design issues as well as planning operations during an early design phase of facility. But VR simulations can also be used to deeply explore the feasibility of these procedures in a more interactive manner, so that we can identify potential risks and difficulty levels from early stages and study different maintenance strategies to assist the maintenance worker during these procedures. This article presents a framework to design and validate logistics and maintenance procedures in complex facilities, such as the International Fusion Materials Irradiation Facility DEMO Oriented Neutron Source (IFMIF-DONES). Our framework begins with a preparatory phase where essential information about the procedures and Computer-Aided Design (CAD) models is compiled into a comprehensive Virtualization Task Document (VTD). Differently from previous work, this VTD allows representation of parallel tasks. We implement the interactive version of the virtual environment, where the different maintenance and logistics equipment, as well as a virtual maintenance worker is controlled by the user (the person executing the interactive simulation). We have validated this interactive framework with two simulations for the installation process of the Superconducting Radio Frequency Linear accelerator (SRF Linac) modules in IFMIF-DONES. In one simulation (the automatic one), the procedures are reproduced as they are planned, while in the second simulation (the interactive one) the user freely controls the movements of the moving parts of the crane, grab and release plant equipment, move platforms, etc. Based on our simulations, the interactive version allows easier detection of potential points of collisions as well as more precise assessment of the difficulty of the tasks to be performed.