Development of performance criteria for the selection of stone preservatives

2015 ◽  
pp. 65-71
Author(s):  
G. Sleater
Keyword(s):  
Performance Criteria ◽  
Selection Of

scholarly journals A Fuzzy Network DEA Approach to the Selection of Advanced Manufacturing Technology

2021 ◽  
Vol 13 (8) ◽  
pp. 4236
Author(s):  
Tim Lu
Keyword(s):  
Fuzzy Numbers ◽  
Weighted Average ◽  
Careful Consideration ◽  
Performance Criteria ◽  
Advanced Manufacturing ◽  
Weight Restrictions ◽  
Network Dea ◽  
Engineering Sciences ◽  
Fuzzy Network ◽  
Selection Of

The selection of advanced manufacturing technologies (AMTs) is an essential yet complex decision that requires careful consideration of various performance criteria. In real-world applications, there are cases that observations are difficult to measure precisely, observations are represented as linguistic terms, or the data need to be estimated. Since the growth of engineering sciences has been the key reason for the increased utilization of AMTs, this paper develops a fuzzy network data envelopment analysis (DEA) to the selection of AMT alternatives considering multiple decision-makers (DMs) and weight restrictions when the input and output data are represented as fuzzy numbers. By viewing the multiple DMs as a network one, the data provided by each DM can then be taken into account in evaluating the overall performances of AMT alternatives. In the solution process, we obtain the overall and DMs efficiency scores of each AMT alternative at the same time, and a relationship in which the former is a weighted average of the latter is also derived. Since the final evaluation results of AMTs are fuzzy numbers, a ranking procedure is employed to determine the most preferred one. An example is used to illustrate the applicability of the proposed methodology.

Power Control Schemes Based on Game Theory

2014 ◽  
pp. 244-276
Keyword(s):  
Game Theory ◽  
Power Control ◽  
Cellular Networks ◽  
Network Capacity ◽  
Performance Criteria ◽  
Transmitter Power ◽  
Geographic Coverage ◽  
Control Schemes ◽  
Link Data ◽  
Selection Of

Power control is the intelligent selection of transmitter power output in a communication system to achieve good performance within the system. The notion of good performance can depend on context and may include optimizing metrics such as link data rate, network capacity, geographic coverage and range, and life of the network and network devices. Power control algorithms are used in many contexts, including cellular networks, sensor networks, and wireless LANs. Typically, there is no simple answer to the problem of power control, and a good algorithm must strike a balance between the benefits and drawbacks associated with targeting a particular transmit power based on the performance criteria of most importance to the designer. This chapter discusses power control schemes.

Initial Approach to Performance (Balanced) Mix Design: The Virginia Experience

2019 ◽  
Vol 2673 (2) ◽  
pp. 335-345 ◽  
Author(s):  
Stacey D. Diefenderfer ◽  
Benjamin F. Bowers
Keyword(s):  
Performance Testing ◽  
Performance Criteria ◽  
Mix Design ◽  
Department Of Transportation ◽  
Innovative Methods ◽  
Asphalt Mix ◽  
Performance Additives ◽  
Virginia Department ◽  
Selection Of

Performance mix design (PMD) of asphalt mixtures, often referred to as balanced mix design, is a design methodology that incorporates performance testing into the mix design process. The Virginia Department of Transportation (DOT), like many owner agencies, is interested in ways to specify asphalt mix designs better in an effort to make its roadway network more sustainable, longer lasting, and more economical. By adding performance criteria through a PMD framework, that goal can be achieved. Further, a PMD framework should allow for the development of new, innovative methods to increase pavement recyclability, new performance additives, and other means to enhance pavement performance. This paper provides details and documentation of the approach being taken by the Virginia DOT in their efforts to develop a PMD specification. Aspects of development presented include PMD method options, selection of performance tests, and determination of acceptance criteria. A discussion about validating specifications with in-service performance data and addressing quality control and quality assurance is also provided. Although additional work is needed for full development and implementation, the methodology being applied has been found to provide useful outcomes for the Virginia DOT even in the initial stages of development.

The Arrow-Dot Test as a Predictor of Police Officer Performance

1977 ◽  
Vol 45 (3) ◽  
pp. 683-693 ◽  
Author(s):  
Melany E. Baehr ◽  
Ernest C. Froemel
Keyword(s):  
Police Officers ◽  
Test Battery ◽  
Performance Criteria ◽  
Regression Analyses ◽  
Potential Predictor ◽  
Officer Performance ◽  
Pencil And Paper ◽  
And Performance ◽  
Project Personnel ◽  
Selection Of

In the course of validating a test battery for the selection of police officers (Baehr, Furcon, & Froemel, 1969), project personnel were searching for objectively scored, pencil-and-paper measures of behavior variables. One product of this search was an adaptation of the Arrow-Dot subtest of the four-part IES test battery (Dombrose & Slobin, 1958). This adaptation was designed for group administration and for improved reliability as a possible predictor of performance. Intercorrelational analysis and factor analysis of intercorrelations with other potential predictor variables and performance criteria provided some information on the nature of the Arrow-Dot scores. The test's ability to predict police officers' performance was assessed through multiple regression analyses of its scores both as independent predictors and as contributors of unique variance in a wider predictor battery. Its usefulness for diagnosis of specific problems in police officers' performance was also investigated. Application in five additional studies permitted an exploration of the “characteristic” Arrow-Dot dimension profile for police officers.

Quantitative Selection of Variation Reduction Plans

2000 ◽  
Vol 122 (2) ◽  
pp. 185-193 ◽  
Author(s):  
Anna C. Thornton
Keyword(s):  
Product Quality ◽  
Performance Criteria ◽  
Performance Requirement ◽  
Variation Reduction ◽  
Variation Propagation ◽  
Design And Manufacturing ◽  
Optimal Resource ◽  
Multiple Product ◽  
Reduction Costs ◽  
Selection Of

Quality has been a rallying call in design and manufacturing for the last two decades. One way to improve quality is through variation reduction (VR). VR teams use tools such as Design of Experiments (DoE) and robust design to improve product performance and quality by reducing variation introduced by manufacturing processes. Because VR teams are typically resource constrained, they must carefully select where to focus their efforts. Planning for VR is complex because reduction efforts are executed on individual features and processes but benefits are accrued when the overall product quality improves. The problem is further complicated by the existence of multiple performance criteria and hundreds of processes and dimensions that effect each performance requirement. Consequently, VR teams typically use qualitative assessments to prioritize and schedule their efforts. This paper provides a mathematical model capable of optimally allocating VR resources for a complex product. The VR model has three parts: a model of variation propagation, a model of variation costs, and a model of variation reduction costs. These models are used to directly calculate the optimal resource allocation plan and schedule for a product with multiple product quality requirements. An example from the aerospace industry is used to demonstrate the theory. [S1050-0472(00)00602-4]

Characteristics Charts for Preliminary Design and Selection of a Gas Turbine Cogeneration Plant

1995 ◽  
Author(s):  
K. Sarabchi ◽  
G. T. Polley
Keyword(s):  
Performance Analysis ◽  
Gas Turbine ◽  
Performance Prediction ◽  
Integrated System ◽  
Performance Criteria ◽  
Preliminary Design ◽  
Cogeneration Plant ◽  
Work Efficiency ◽  
Boiler Efficiency ◽  
Selection Of

The important and well-established performance criteria for assessment of a gas turbine cogeneration plant (GTCP) were examined. It was found that expressions could be derived for these criteria in terms of two key parameters: work efficiency and boiler efficiency. Three characteristics charts were then constructed. These covered gas turbine analysis, boiler analysis and GTCP performance analysis respectively. It is then demonstrated how these charts may be used as an effective tool for both performance prediction and preliminary design analysis. Thermodynamic design of a GTCP as an integrated system is also investigated and discussed.

scholarly journals A Review of Relay Assignment Problem in the Cooperative Wireless Sensor Networks

Electronics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 443
Author(s):  
Mohammed S. Al-kahtani
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Relay Selection ◽  
Relay Node ◽  
Cooperative Networks ◽  
Performance Criteria ◽  
Wireless Sensor ◽  
Proper Selection ◽  
Relay Assignment ◽  
Selection Of

The relay selection is a promising approach of maximizing the diversity gain achieved in the cooperative wireless sensor networks. In the cooperative networks, the proper selection of relay node is a challenging task. The proper selection of relay nodes not only improves the source–destination performance, but also maximizes the overall system performance. There are many factors involved in designing a relay selection algorithm. The different relay selection algorithms have different focus, criteria, objective, mechanism, and performance issues. In this article, several relay assignment algorithms have been analyzed to show the effectiveness of channel capacity, power allocation, coverage expansion and interference mitigation in term of proper relay selection schemes. Moreover, this paper discusses some relay selection schemes, their challenging issues, limitations, performance criteria, and mechanisms. This article also highlights the significant design issues of relay selection methods and compares them that are appropriate in the cooperative wireless sensor networks.

Charts of operational process specifications ("OPSpecs charts") for assessing the precision, accuracy, and quality control needed to satisfy proficiency testing performance criteria

1992 ◽  
Vol 38 (7) ◽  
pp. 1226-1233 ◽  
Author(s):  
J O Westgard
Keyword(s):  
Quality Control ◽  
Proficiency Testing ◽  
Measurement Procedure ◽  
Performance Criteria ◽  
Operating Point ◽  
Operational Process ◽  
Testing Performance ◽  
Analytical Errors ◽  
Current Operating ◽  
Selection Of

Abstract “Operational process specifications” have been derived from an analytical quality-planning model to assess the precision, accuracy, and quality control (QC) needed to satisfy Proficiency Testing (PT) criteria. These routine operating specifications are presented in the form of an “OPSpecs chart,” which describes the operational limits for imprecision and inaccuracy when a desired level of quality assurance is provided by a specific QC procedure. OPSpecs charts can be used to compare the operational limits for different QC procedures and to select a QC procedure that is appropriate for the precision and accuracy of a specific measurement procedure. To select a QC procedure, one plots the inaccuracy and imprecision observed for a measurement procedure on the OPSpecs chart to define the current operating point, which is then compared with the operational limits of candidate QC procedures. Any QC procedure whose operational limits are greater than the measurement procedure's operating point will provide a known assurance, with the percent chance specified by the OPSpecs chart, that critical analytical errors will be detected. OPSpecs charts for a 10% PT criterion are presented to illustrate the selection of QC procedures for measurement procedures with different amounts of imprecision and inaccuracy. Normalized OPSpecs charts are presented to permit a more general assessment of the analytical performance required with commonly used QC procedures.

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