Effect analysis and design on array geometry for coincidence imaging radar based on effective rank theory

2016 ◽  
Author(s):  
Guofeng Zha ◽  
Hongqiang Wang ◽  
Zhaocheng Yang ◽  
Yongqiang Cheng ◽  
Yuliang Qin
Keyword(s):  
Effect Analysis ◽  
Analysis And Design ◽  
Imaging Radar ◽  
Coincidence Imaging ◽  
Effective Rank ◽  
Array Geometry

scholarly journals Integrating Quality Tools and Methods to Analyze and Improve a Hospital Sterilization Process

Healthcare ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 544
Author(s):  
Amira Kammoun ◽  
Wafik Hachicha ◽  
Awad M. Aljuaid
Keyword(s):  
Quality Function Deployment ◽  
Failure Modes ◽  
Integrated Approach ◽  
Effect Analysis ◽  
Healthcare Facilities ◽  
Analysis And Design ◽  
Sterilization Process ◽  
Fmea Method ◽  
Sterilization Service ◽  
Quality Tools

Healthcare facilities are facing major issues and challenges. Hospitals continuously search approaches to improve operations quality, optimize performance, and minimize costs. Specifically, an efficient hospital sterilization process (HSP) allows reusable medical devices (RMDs) to be more quickly available for healthcare activities. In this context, this paper describes an integrated approach developed to analyze HSP and to identify the most critical improvement actions. This proposed approach integrates four quality tools and techniques. Firstly, a structured analysis and design technique (SADT) methodology is applied to describe HSP as a hierarchy of activities and functions. Secondly, the failure modes and effects analysis (FMEA) method is used as a risk assessment step to determine which activity processes need careful attention. Thirdly, a cause–effect analysis technique is used as a tool to help identify all the possible improvement actions. Finally, priority improvement actions are proposed using the quality function deployment (QFD) method. To validate the proposed approach, a real sterilization process used at the maternity services of Hedi-Cheker Hospital in the governorate of Sfax, Tunisia, was fully studied. For this specific HSP, the proposed approach results showed that the two most critical activities were (1) improving the coordination between the sterilization service and the surgery block and (2) minimizing the average duration of the sterilization process to ensure the availability of RMDs in time.

Multi-state reliability assessment for hydraulic lifting system based on the theory of dynamic Bayesian networks

2016 ◽  
Vol 230 (6) ◽  
pp. 533-544 ◽  
Author(s):  
Chun Su ◽  
Ning Lin ◽  
Yequn Fu
Keyword(s):  
Bayesian Network ◽  
Failure Modes ◽  
Reliability Assessment ◽  
Mechanical Systems ◽  
Dynamic Bayesian Network ◽  
Dynamic Bayesian Networks ◽  
Effect Analysis ◽  
Analysis And Design ◽  
Reliability Modelling ◽  
Lifting System

Mechanical systems and their components usually have multiple failure modes and different performance states. Most existing system reliability modelling theories are developed on the basis of binary logic, which lack sufficient ability to describe the above phenomena. In this article, dynamic Bayesian network theory is employed to evaluate the multi-state reliability of a hydraulic lifting system. First, failure mode and effect analysis and structural analysis and design technique are comprehensively applied to analyse the functionalities and failure modes of the components. Afterwards, the time factor is integrated into the model by considering the state transition of the components. In this way, the multi-state reliability model of the system is established by dynamic Bayesian network. The reliability assessment and diagnostic analysis are performed by taking advantage of the dynamic Bayesian network’s bi-directional reasoning ability, and the results are in good agreement with actual situation. It shows that the proposed approach is effective and convenient for multi-state reliability modelling and analysis for mechanical systems.

scholarly journals Multipactor Effect Analysis and Design Rules for Wedge-Shaped Hollow Waveguides

2010 ◽  
Vol 57 (12) ◽  
pp. 3508-3517 ◽  
Author(s):  
Jaime Hueso ◽  
Carlos Vicente ◽  
Benito Gimeno ◽  
Vicente E. Boria ◽  
Stephan Marini ◽  
...  
Keyword(s):  
Design Rules ◽  
Effect Analysis ◽  
Analysis And Design ◽  
Hollow Waveguides

Failure Mode Critical Effect Analysis and Design of Experiment-Based Robust Chromatographic Method for Simultaneous Estimation Lornoxicam and Eperisone Hydrochloride

2020 ◽  
Vol 58 (10) ◽  
pp. 929-939
Author(s):  
Pintu Prajapati ◽  
Vipul Radadiya ◽  
Shailesh Shah
Keyword(s):  
Failure Mode ◽  
Design Of Experiment ◽  
Failure Modes ◽  
Risk Control ◽  
Quadratic Model ◽  
Simultaneous Estimation ◽  
Effect Analysis ◽  
Analysis And Design ◽  
Critical Effect ◽  
Hptlc Method

Abstract Failure mode critical effect analysis and design of experiment-based high performance thin layer chromatography (HPTLC) method has been developed for simultaneous estimation of lornoxicam (LOC) and eperisone hydrochloride (EPR). Failure modes were identified on the basis of prior knowledge and experimental data with the help of Ishikawa diagram for the development of method. The criticality of failure mode was assessed by giving risk priority number and criticality rank on the basis of preliminary experimental trials. The identified critical failure modes were analyzed for their effect by design of experiment (DoE)-based Plackett–Burman screening design. From 11 critical factors, the volume of methanol and modifier in mobile phase composition were found as critical failure modes. Critical failure mode was further analyzed by DoE based on central composite design for study of their relationship with resolution of both drugs. Quadratic model suggested by design was further used for failure mode risk control and navigation of design space for a resolution of both drugs more than 1.5. Failure mode risk control strategy was set for robust HPTLC method for simultaneous estimation of both drugs in laboratory mixture. Developed and validated HPTLC method was applied for assay of LOC and EPR in their laboratory mixture and assay values were found in good agreement with a spiked amount of drugs.

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