检索结果-内蒙古大学图书馆

The Use of Simulation modeling in Hospital Pharmacy Inventory Management

Procedia Computer Science 2025年 253卷 485-494页

作者： Duangpun Kritchanchai Tuangyot Supeekit Wirachchaya Chanpuypetch Department of Industrial Engineering Faculty of Engineering Mahidol University Salaya Nakhonpathom Thailand Faculty of Agro-Industry Chiang Mai University Samut Sakhon Thailand

Hospitals currently face numerous challenges in managing their pharmacy operations efficiently. While Business process Reengineering (BPR) has been proposed as a solution, its implementation in healthcare is more complex than in other industries. Healthcare professionals often struggle to identify problems and resist change. Simulation modeling is a technique that can visually present issues and facilitate user acceptance of changes. This paper systematically explores the application of discrete event simulation (DES) modeling in hospital pharmacy management. The specific problem of inefficient inventory control policies was analyzed and simulated using primary and secondary data from a tertiary care hospital case study in Thailand, focusing on a fast-moving drug called "Tear Natural Free (TNF)”. The simulation revealed the current inefficient performance, highlighting various phenomena such as demand characteristics, inventory levels, and stock-outs in each pharmacy room. The simulation outputs were utilized to identify alternative scenarios for further analysis of the effects of changing the business process. The most suitable forecasting technique and inventory replenishment policy for this type of item were determined to be Croston’s method and continuous review order-point, order-up-to-level (s, S) or min-max policy, respectively. Simulation modeling can serve as a valuable tool in identifying problems and improving business processes in hospital pharmacy management.

关键词： Simulation modeling hospital pharmacy inventory management hospital business process reengineering

来源：评论

学校读者我要写书评

暂无评论

Next-Gen Quality control Using data-Driven Approaches and Machine Learning in Metal Production

Next-Gen Quality Control Using Data-Driven Approaches and Ma...

引用

data Science, Agents & Artificial Intelligence (ICDSAAI), International conference on

作者： K. Anitha Mukesh J Muthuganesh. D Parvesh. S Vasu. S Department of Information Technology M. Kumarasamy College of Engineering Karur India

ISBN: (数字)9798331537555

ISBN: (纸本)9798331537562

The metal industry has a critical need for materials to be produced with a more economical method that minimizes or is free of any environmental impact, making the conventional quality control techniques that are heavily reliant on human inspection laborious, subjective, and prone to human error. This paper discusses how machine learning and data-driven next-generation quality control systems may represent a paradigm shift in the process of metal production. Using real-time data from several production processes, such as temperature, processing conditions, and material composition, the machine learning model can make very accurate forecasts and monitor the quality of the end product. It also adjusts the production process to make the best quality possible in real time, with the aid of pattern detection and anomalies.

关键词： Support vector machines Accuracy Computational modeling Metals Production Quality control Machine learning Predictive models Aluminum alloys Real-time systems

来源：评论

学校读者我要写书评

暂无评论

Wafer Defect Root Cause analysis with Partial Trajectory Regression DM: Big data Management and Machine Learning

Wafer Defect Root Cause Analysis with Partial Trajectory Reg...

引用

IEEE/SEMI conference and Workshop on Advanced Semiconductor Manufacturing

作者： Kohei Miyaguchi Masao Joko Rebekah Sheraw Tsuyoshi Idé IBM Research – Tokyo Tokyo Japan IBM Semiconductors Tokyo Japan IBM Semiconductors Albany NY USA IBM Semiconductors NY USA

ISBN: (数字)9798331531850

ISBN: (纸本)9798331531867

Identifying upstream processes responsible for wafer defects is challenging due to the combinatorial nature of process flows and the inherent variability in processing routes, which arises from factors such as rework operations and random process waiting times. This paper presents a novel framework for wafer defect root cause analysis, called Partial Trajectory Regression (PTR). The proposed framework is carefully designed to address the limitations of conventional vector-based regression models, particularly in handling variable-length processing routes that span a large number of heterogeneous physical processes. To compute the attribution score of each process given a detected high defect density on a specific wafer, we propose a new algorithm that compares two counterfactual outcomes derived from partial process trajectories. This is enabled by new representation learning methods, proc2vec and route2vec. We demonstrate the effectiveness of the proposed framework using real wafer history data from the NY CREATES fab in Albany.

关键词： Semiconductor device modeling Representation learning Root cause analysis Computational modeling Semiconductor device manufacture Big data Trajectory Random processes History Optimization

来源：评论

学校读者我要写书评

暂无评论

Deployment of Ontologies as Knowledge Reasoning Technique for Making Autonomous Robots: A Survey

Deployment of Ontologies as Knowledge Reasoning Technique fo...

引用

Intelligent control, Computing and Communications (IC3), International conference on

作者： Nidhi Mishra Balasubramaniam Kumaraswamy Department of CS & IT Kalinga University Raipur India

ISBN: (数字)9798331527495

ISBN: (纸本)9798331527501

Knowledge Representation and Reasoning (KR & R) is a burgeoning subject in the realm of Artificial Intelligence. Its primary objective is to depict data pertaining to a certain field, especially for use in path planning applications. Utilising ontology-based methods for knowledge representation and reasoning enhances understanding of the environment for task processing. Ontology is a valuable instrument for gathering knowledge pertaining to the environment, events, and actions. This enhances the efficacy of path planning and the autonomy of robots. Knowledge reasoning approaches are essential for dynamically deducing novel conclusions, particularly in non-deterministic situations. This work thoroughly investigates the process of representing information using ontology and analyses reasoning techniques that play a vital role in path planning. Furthermore, we offer a comprehensive analysis of several planned domain description dialects, ontology editors, developers, and robot simulations systems in the subsequent sections.

关键词： Surveys Analytical models Computational modeling Instruments Ontologies Cognition Path planning Intelligent control Autonomous robots

来源：评论

学校读者我要写书评

暂无评论

Research on Simulation Model of Urban Environment Design and Renewal Using Virtual Reality Technology

Research on Simulation Model of Urban Environment Design and...

引用

Electronics, Energy Systems and Power Engineering (EESPE), IEEE International conference on

作者： Wei Ma Changchun University of Architecture and Civil Engineering Changchun China

ISBN: (数字)9798350389579

ISBN: (纸本)9798350389586

This paper proposes a research method of urban environment design and renewal simulation model based on virtual reality technology, aiming to improve the efficiency and accuracy of urban planning and renewal process. This method takes point cloud data processing as the core technology, combines advanced 3D modeling and virtual reality technology, and constructs a high-precision urban environment simulation system. The system includes key modules such as data acquisition, optimization algorithm design, model construction, simulation verification and interactive operation. Among them, through the improved point cloud data processing algorithm, the rapid reconstruction of complex urban spatial structure is realized, and efficient 3D rendering and large-scale scene simulation are supported. data analysis of multiple actual urban scenes shows that this method has excellent performance in various environments. The simulation system supports accurate visual comparison of different urban design schemes, interactive scene adjustment through real-time dynamic operation, and quantitative evaluation of design results. Experimental data show that the system can control the simulation error within 5% in multiple urban renewal scenarios; the data processing efficiency is improved by about 30% compared with traditional methods, and the 3D reconstruction time is shortened to 70% of the original.

关键词： Point cloud compression Solid modeling Accuracy Three-dimensional displays Heuristic algorithms Urban planning Virtual reality data processing Rendering (computer graphics) data models

来源：评论

学校读者我要写书评

暂无评论

Implementation & Application of coherent control systems: Digital Twin (high frequency open loop) with R2R (low frequency closed loop)

Implementation & Application of coherent control systems: Di...

引用

IEEE/SEMI conference and Workshop on Advanced Semiconductor Manufacturing

作者： Pratik C. Kotcher Kasturi Sarang Miller Allen Siva Dhandapani Automation Products Group Applied Global Services Va USA Metal Deposition Product Semiconductor Product Group Santa Clara Ca USA Business Development Semiconductor Product Group Santa Clara Ca USA

ISBN: (数字)9798331531850

ISBN: (纸本)9798331531867

A Digital Twin (Applied Twin™) is a computational model that represents a physical asset such as a process chamber, evolving over time to reflect its structure, behavior, and context. This model treats the asset-twin system as a set of coupled dynamical systems that evolve over time, interacting through observed data and control inputs. [1] They are an evolution of modeling & simulation. The Digital Twin (DT) can be useful in integration, testing, monitoring, and maintenance. Eventually it can be utilized as an early and ad hoc fast learning tool for systems and processes. In semiconductor manufacturing, DTs have found their way in their early rudimentary form as control or predictive applications such as for production control applications like planning, scheduling, and dispatching and for equipment and process control applications like, Run-to-Run (Applied SmartFactory™ Run-2-Run) (R2R), Virtual Metrology, and predictive maintenance. Through this paper we explore the idea of idea of engineering DT and R2R algorithms with intersecting system manipulated variables or inputs between the two systems.

关键词： Frequency locked loops Automation Computational modeling process control Production control Semiconductor device manufacture data models Digital twins High frequency Testing

来源：评论

学校读者我要写书评

暂无评论

Reverse engineering tools - 3D scanning - As support for precise quality control in automated special processes 6

Reverse engineering tools - 3D scanning - As support for pre...

引用

6th International conference on Industry 4.0 and Smart Manufacturing, ISM 2024

作者： Klimecka-Tatar, Dorota Krynke, Marek Czestochowa University of Technology al. Armii Krajowej 19b Czestochowa42-201 Poland

The utilization of 3D scanning and reverse engineering techniques has revolutionized quality control practices across various industries. These technologies play a pivotal role in accurately assessing and documenting the dimensional and geometric attributes of manufactured components. Reverse engineering complements 3D scanning by enabling detailed analysis and reconstruction of complex geometries, facilitating defect identification and optimization of manufacturing processes. The synergy between these methodologies not only enhances the accuracy of dimensional inspections but also supports rapid prototyping and iterative design improvements. Moreover, the ability to compare scanned data against CAD models or historical records ensures conformity to design specifications and regulatory standards. In this paper, the dimensional inspection results of a part produced through a special process - plastic injection molding are presented. The part has been made from a blend of ABS and polyamide. Material plasticization occurs in the machine chamber at a temperature of 200 °C, with the injection process conducted at a pressure of 200 bars. The parts were manufactured using a multi-cavity mold and cooled together with the mold after molding. Post-cooling, the parts underwent dimensional inspection to assess compliance with technical requirements. The dimensional inspection results were presented in the form of color-coded deviation maps. © 2024 The Authors. Published by Elsevier B.V.

关键词： Reverse engineering

来源：评论

学校读者我要写书评

暂无评论

Unleashing WSN Potential: Bowerbird Optimized Energy-Conscious Multipath Clustering with Causal Dilated Cosine for Enhanced Load Balancing 4

Unleashing WSN Potential: Bowerbird Optimized Energy-Conscio...

引用

4th International conference on Sentiment analysis and Deep Learning, ICSADL 2025

作者： Joon, Rakesh Kumar Anitha, R. Selvan, Saravana Latha Mageshwari, P.S. Gayathri Priya, S. Malathi, K. Ganga Institute of Technology and Management Department of Electronics and Communication Engineering Haryana Kablana124104 India S.A. Engineering College Department of Artificial Intelligence and Data Science Tamil Nadu Chennai600077 India School of Professional Engineering Manukau Institute of Technology Auckland2104 New Zealand Tamil Nadu Kavaraipettai601206 India R.M.D. Engineering College Department of Electronics and Communication Engineering Tamil Nadu Kavaraipettai601206 India Saveetha Engineering College Department of Artificial Intelligence and Machine Learning Tamil Nadu Chennai602105 India

ISBN: (纸本)9798331523923

Wireless Sensor Networks (WSNs) are essential in the collection of real time data across different fields, including environmental monitoring and process control. However, due to the bounded amount of energy in sensor nodes, network lifetime becomes an issue, which hinders performance and reliability. Thus, optimization of WSN performance in an attempt to minimize energy consumption is essential for reliable data transmission. In conventional routing and clustering models, network load distribution is not achieved adequately, resulting in a more significant loading of nodes and faster exhaustion of energy. To solve these problems, it is necessary to carefully design load distribution and path finding algorithms to support long-term WSN operation. The objective of this research is to design a framework-Ski-CDiCo-BO-that integrates Skill Optimization for clustering, and ensuring an energy-efficient paths while reducing redundant transmissions on nodes and conserving node energies, and uses the Causal Dilated Cosine Architecture for sophisticated load balancing, and Bowerbird Optimization for improving the parameterization of neural networks. analysis reveals that the presented Ski-CDiCo-BO framework provides improved performance of various parameters including data delivery success rate of above 99.8% and network lifetime gain by up to 99.5%. Also, load distribution accuracy remains above 99.3%, which indicates that the framework is capable of avoiding node overload and end-to-end delay improved upon by 99.6%, indicating that the solution maintains high parameters even in dynamically changing conditions. In conclusion, Ski-CDiCo-BO maximizes WSN efficiency by implementing cutting-edge clustering, load balancing, and optimization techniques, setting new standards for energy-conscious and reliable sensor network performance across diverse applications. © 2025 IEEE.

关键词： Sensor nodes

来源：评论

学校读者我要写书评

暂无评论

Design and Finite Element analysis of Pneumatically Actuated Soft Gripper under Combined Positive and Negative Pressure

Design and Finite Element Analysis of Pneumatically Actuated...

引用

2025 International conference on Advances in Design, Materials, Manufacturing and Surface Engineering for Mobility, ADMMS 2025

作者： Lalson, Abirami Sadique, Anwar Government Engineering College Thrissur India

Soft-bending actuators have garnered significant interest in robotics and biomedical engineering due to their ability to mimic the bending motions of natural organisms. Using either positive or negative pressure, most soft pneumatic actuators for bending actuation have modified their design accordingly. In this study, we propose a novel soft bending actuator that utilizes combined positive and negative pressures to achieve enhanced performance and control. The actuator consists of a flexible elastomeric chamber divided into two compartments: a positive pressure chamber and a negative pressure chamber. controlled bending motion can be achieved by selectively applying positive and negative pressures to the respective chambers. The combined positive and negative pressure allowed for faster response times and increased flexibility compared to traditional soft actuators. Because of its adaptability, controllability, and improved performance can be used for various jobs that call for careful handling or compliant environmental contact. The actuator's simple design and cost-effective manufacturing process contribute to its practicality and scalability. The modeling and conducting simulations on a soft robotic combined positive and negative pressure actuator also aim to design an adaptive soft-robotic gripper with reduced effort and investigate the up scaling of such grippers to extend their applicability to heavy payload handling and assembly. Once the results from simulations and experiments conducted by models are collaborated, the geometrical parameters are modified to get improved results. The improved model is compared in terms of pressure range, bending angle, versatility, and weight-carrying capacity. Simulation is done on Ansys for real-time results. The parametric study helps in establishing correlations between pressure and deflections to accurately control the motion of soft grippers © 2025 SAE International. All Rights Reserved.

关键词： Grippers

来源：评论

学校读者我要写书评

暂无评论

AI-Assisted data modeling and High-Resolution Image Synthesis: An Interactive Framework with Latent Diffusion Model Visualization

AI-Assisted Data Modeling and High-Resolution Image Synthesi...

引用

Intelligent control, Computing and Communications (IC3), International conference on

作者： Asha Rani Borah Archana K. Pushpa Rani Sajjad Ziara Sorabh Lakhanpal Chalasanvi Vidyadhari Department of Computer Science Engineering New Horizon College of Engineering Bangalore India Department of Electrical Electronics & Communication Engineering Galgotias university Gerater Noida Uttar Pradesh Department of Computer Science and Engineering MLR Institute of Technology Hyderabad Telangana India Radiology Techniques Department College of Medical Technology The Islamic University Najaf Iraq Lovely Professional University Phagwara Punjab India Department of Information Technology GRIET Bachupally Hyderabad Telangana India

ISBN: (数字)9798331527495

ISBN: (纸本)9798331527501

In this research paper, we present the design and implementation of an AI assisted interactive framework for data modeling and high resolution image synthesis that leverages both state of the art latent diffusion models and visualisation of the real-time algorithm. The system proposed enables user to be able to better understand complex data modeling processes and creates high resolution images in the latent space using diffusion. The framework is both interactive, allowing modifications in parameters and real time visualization of change, making it a useful tool both for educational and for advanced AI research. In this paper, we also discuss the underpinning AI-assisted data modeling algorithms, and why they enable efficient data manipulation as well as high quality image synthesis then provide simulation results and practical applications to illustrate the capabilities of the framework of visualizing the latent diffusion process and generating high resolution images.

关键词： Image resolution Image synthesis Computational modeling Simulation data visualization Streaming media Diffusion models Real-time systems data models Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：