Purpose In a rapidly changing environment, many health-care systems are forced to survive with rising costs and the need for proper resources utilization. To address the requirements for effective strategic planning, ...
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Purpose In a rapidly changing environment, many health-care systems are forced to survive with rising costs and the need for proper resources utilization. To address the requirements for effective strategic planning, business process reengineering (BPR) is inevitable for health-care systems. This study aims to focus on the reengineering of central sterilization unit's business processes to obtain performance improvement and efficiency. With the obtained new process design, it is expected to get standardization in all level of the central sterilization unit. Design/methodology/approach This paper presents a BPR method for modeling the system in health-care sector to improve the productivity of the sterilization process of surgical equipment. The case study is conducted in a large hospital in Istanbul, Turkey. First, "as-is" process is modeled and the problems are determined. Then, solution methods are developed and the target system (to-be process) is redesigned and the workflows of each phase are remodeled by using ARIS tool. Enterprise resource planning (ERP)-driven BPR is used to reengineer the current processes and the future processes are operated through the modeled ERP system. Finally, by using a statistical analysis, performance of the new process is compared with the existing process using the first data obtained from the case hospital. Findings In many sterilization services, the control procedures are rarely used. Thus, an ERP solution is developed to automate sterilization tasks and track down the information flow. With the ERP solution, it is possible to track in which dates, where and by whom the items are processed. On the other hand, in the sterilization process, the sets are used efficiently according to the last sterile dates of the items. Also, with the ERP system, it is possible to reduce unnecessary paper usage and this gives the hospitals the opportunity to be more ecological and sustainable. As a result, a centralized sterilization process with
Handling processdata characterized by strong nonlinearity, high dimensionality, cross-correlations, and auto-correlations presents a considerable hurdle for data-driven soft sensor modeling. While traditional slow fe...
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ISBN:
(数字)9798350387780
ISBN:
(纸本)9798350387797
Handling processdata characterized by strong nonlinearity, high dimensionality, cross-correlations, and auto-correlations presents a considerable hurdle for data-driven soft sensor modeling. While traditional slow feature analysis (SFA) adeptly captures slow and static features from linear data, it may falter in capturing the nonlinear, high-dimensional, and dynamic features inherent in time series data. Conversely, although Long Short-Term Memory (LSTM) networks are designed to address long-term dependencies within sequences, they encounter challenges, particularly with very lengthy data sequences, in effectively capturing these dependencies. Consequently, relying solely on SFA or LSTM may prove inadequate for addressing the complexities of time series data in industrial processes. To confront these challenges, this study proposes an innovative approach termed Slow LSTM (SLSTM), which amalgamates the hidden layers of LSTM and SFA to enhance feature extraction. These extracted features are subsequently fed into a fully connected layer for prediction. The efficacy of this proposed method is validated through comparisons with various methods, including SFA-FC, LSTM, and RNN.
The paper is devoted to exploration of thermal processes during the growth of leucosapphire by the horizontal directional crystallization method. A mathematical and computer model of the technological process has been...
The paper is devoted to exploration of thermal processes during the growth of leucosapphire by the horizontal directional crystallization method. A mathematical and computer model of the technological process has been developed to predict the dynamics of temperature field in the carbon-graphite thermal node. To solve the problem of providing the required temperature field, the synthesis of a distributed high-precision regulator has been performed, the settings of which allow to provide a given temperature distribution at the crystallization front by controlling the heat flow at the sections of the lower heater. The analysis of transient graphs obtained by modeling of the closed-loop automatic control system confirmed the compliance of the developed system with the requirements of the technological process in terms of temperature field distribution in the leucosapphire.
To shorten the flight time and reduce the probability of being intercepted when the flight reaches the specified area, the overall design of a spring-foldable rotorcraft is presented. Virtual modelinganalysis and mot...
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As an important part of the information age, network security has been concerned. Industrial control system is an indispensable part of modern production process, but it is also facing the threat from cyber-attacks. I...
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Due to the complexity of industrial processes, the collected data show typical nonlinearity and dynamic characteristics, bringing significant challenges for nonlinear dynamic process monitoring. Due to the instinctive...
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Due to the complexity of industrial processes, the collected data show typical nonlinearity and dynamic characteristics, bringing significant challenges for nonlinear dynamic process monitoring. Due to the instinctive structure of equipment and different positions of measurements, time delays widely exist between variables, decreasing the accuracy of models. In this work, a linear and nonlinear hierarchical modeling method is proposed for time delay analytics and nonlinear dynamic process monitoring. First, the variables are automatically divided into several linear subgroups and nonlinear variables by extracting dynamic latent variables. Then an autoregressive autoencoder (ARAE) model is designed to describe linear and nonlinear characteristics combined with dynamic-inner principal component analysis (DiPCA). In this way, time delay analytics based on the dynamic framework is developed to enhance the effectiveness of extracting dynamic characteristics. Finally, a hierarchical monitoring strategy is developed for nonlinear processes from both linear and nonlinear, static and dynamic perspectives. The effectiveness is verified by a numerical case and a three-phase flow process. (C) 2021 Elsevier Ltd. All rights reserved.
In group decision making, reaching consensus of decision groups is important to obtain reliable decision-making result. Moreover, expert reliability can significantly affect the result reliability, and unreliable expe...
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The purpose of this research is to explore the use of deep learning technologies, namely the K-Nearest Neighbors model within the textile manufacturing process to test the improvement of the said process. To properly ...
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In a wide Mach number range, the components and functions of the air-breathing hypersonic vehicle (AHSV) are highly integrated for excellent performance, in which the coupling between aerodynamic shape and propulsion ...
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The proceedings contain 38 papers. The special focus in this conference is on Advances in Civil Engineering. The topics include: BIM and CFD Based Simulation Approach in Reducing Thermal Energy Demands of a Residentia...
ISBN:
(纸本)9789819938254
The proceedings contain 38 papers. The special focus in this conference is on Advances in Civil Engineering. The topics include: BIM and CFD Based Simulation Approach in Reducing Thermal Energy Demands of a Residential Building: A Case Study in Bangladesh;uncertainty Based Assessment of Drought Using Standardized Precipitation Index-A Case Study;Use of Water Treatment Plant Sludge (WTPS) as a Cementitious Material in Concrete;A MCDM Based Approach to Prioritizing National Highways for Road Safety Improvements;factors Influencing Pedestrian Crashes in Dhaka City: A Multiple Correspondence analysis Approach;modeling of Non-stationary Adsorption Behavior of Binary Heavy Metals to Porous Media;morphological analysis of Bishkhali River Using Multi-temporal Satellite Images and Historical Cross-Sectional data;GIS and Remote Sensing-Based Agricultural and Meteorological Drought Assessment in Rajshahi Division;user Perception and Assessment of Existing Public Toilets in Jessore, Bangladesh;effect of the Inclination Angle of Hooked Steel Fiber on the Flexural Behavior of Steel Fiber Reinforced Concrete;analyzing Historical Temperature Variation in Dhaka, Bangladesh in Climate Change Perspective;assessing the Fuel Potential of Fecal Sludge and Coal Through Co-combustion;Relationship Between Rate of Corrosion of TMT Bars and Quality of Electrolyte in Electrochemical Corrosion process;adsorption of Chloride Ions from Aqueous Solution Using Activated Carbon Obtained by Chemical Activation of Jute Stick;morphological Evolution of Andesite Railway Ballast Particle Under Rotating Drum Abrasion Test;optimization of Particle Packing Density of Industrial Wastes Incorporated Concrete;Comparative Study on Riverbank Erosion and Accretion Using HEC-RAS and Landsat Imagery;bangladeshi Drivers’ Perception on Vehicle Safety Features.
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