Developing an Activity Model for Selecting Dimensional-Metrology Systems in Inspection Planning

2017 ◽  
Author(s):  
Shaw C. Feng ◽  
Thomas R. Kramer ◽  
John A. Horst ◽  
Thomas D. Hedberg ◽  
Allison Barnard Feeney
Keyword(s):  
Decision Rules ◽  
Software Systems ◽  
Quality Information ◽  
Measurement Equipment ◽  
Inspection Planning ◽  
Dimensional Metrology ◽  
Activity Model ◽  
Dimensional Measurement ◽  
Rule Model ◽  
Information Framework

This paper describes an activity model that represents activities and information flow in dimensional metrology systems based on design information and measurement requirements from manufacturers. The purpose of developing the activity model is to facilitate measurement equipment selection rules and conformity decision rules development. The rules can be for users to plan a measurement process using functionally complex and highly capable dimensional measurement equipment and measurement software systems. This activity model provides a basis for developing a rule model as a part of the Quality Information Framework (QIF) standard.

Rule Model for Selecting Dimensional Measurement Equipment in Inspection Planning

2020 ◽  
pp. 1-51
Author(s):  
Shaw C. Feng ◽  
John A. Horst ◽  
Allison Barnard Feeney ◽  
Albert T. Jones
Keyword(s):  
Measurement Equipment ◽  
Inspection Planning ◽  
Dimensional Metrology ◽  
Negative Effects ◽  
Activity Model ◽  
Equipment Selection ◽  
Dimensional Measurement ◽  
Measurement Analysis ◽  
Standard Rule ◽  
And Performance

Abstract Process uncertainty can have negative effects on part quality and is, therefore, critical to the safety and performance of products. Those effects are manifested in the dimensional measurement uncertainty associated with those parts and products. To minimize the effects of process uncertainties, the sources of dimensional uncertainty must be identified and clearly communicated to collaborators and suppliers. A principal source of dimensional uncertainty is the measurement equipment itself. This paper presents an activity model, rule types, and sample rules for selecting dimensional-metrology equipment. The activity model represents key operations and information flows associated with dimensional measurement. Analysis of the included activity model facilitates the development of rule types for measurement-equipment selection as described in the Quality Information Framework (QIF) standard. Rule types are based on design information and measurement requirements. Standard rule types enable industrial metrologists to capture, exchange, and share equipment-selection rules with their collaborators. Example QIF rules are defined for successful and cost-saving use in planning a measurement process with functionally complex and appropriate dimensional-measurement equipment.

Quality Metrics and Bayesian Analysis

2011 ◽  
pp. 223-243
Author(s):  
Francisco Macias ◽  
Mike Holcombe
Keyword(s):  
Extreme Programming ◽  
Agile Development ◽  
Software Systems ◽  
Medium Size ◽  
Quality Information ◽  
Student Groups ◽  
Recent Emergence ◽  
Software Construction ◽  
The Bayesian Approach

This chapter presents an empirical assessment of the quality of the process of building software systems in light of the recent emergence of agile development methodologies, which were designed to to help with the development of higher quality information systems under given conditions. The purpose of this research was to assess one of these agile approaches, eXtreme Programming (XP), through a comparison with a traditional (design-driven) software construction process. With this aim we observed and measured the work of several student groups using different approaches to produce software for commercial companies during a semester. The data collected were analyzed following the Bayesian approach. Our results indicate that that XP could cope with small/medium size projects of software construction delivering a measurable improvement in the quality of the system as judged by the business clients.

Investigating Behavioral Differences in Heterogeneous Decision Rule Segments: An Empirical Analysis

2018 ◽  
Vol 2672 (47) ◽  
pp. 231-241
Author(s):  
Parthan Kunhikrishnan ◽  
Karthik K. Srinivasan
Keyword(s):  
Decision Rule ◽  
Decision Rules ◽  
Decision Makers ◽  
Behavioral Differences ◽  
Restrictive Assumption ◽  
Factors Affecting ◽  
Travel Choice ◽  
Regret Minimization ◽  
Rule Model ◽  
Show Evidence

Conventional and contemporary models of travel choice make the restrictive assumption of homogeneity in decision rules. Recent literature has shown empirical evidence for potential heterogeneity in decision rules with regard to utility maximization and regret minimization. Notwithstanding these advances in modeling decision rules, behavioral understanding in the differences in these alternative decision rule segments has not been sufficiently understood. Moreover, the factors which influence the choice of these decision rules have not received significant attention. This study proposes a framework which considers decision makers to have both utility maximizing and regret minimizing tendencies. The variation in these tendencies across decision makers renders the framework heterogeneous. A heterogeneous decision rule model is developed assuming the decision rule adopted to be a latent construct. The study characterizes the regret minimizing and utility maximizing segments based on average values of the segmental attributes. The empirical findings show evidence to confirm that utility maximizers tend to be predominantly captive to personal vehicle usage while regret minimizers might be non-captive to any particular mode. The nature and extent of influence of factors affecting the choice of decision rule is also examined.

scholarly journals End-to-End Quality Information Framework (QIF) Technology Survey

2016 ◽  
Author(s):  
John Michaloski ◽  
Tom Hedberg ◽  
Hui Huang ◽  
Thomas Kramer
Keyword(s):  
Quality Information ◽  
End To End ◽  
Information Framework

scholarly journals Design of a Silicon Micromachined Artifact for Hybrid Dimensional Measurement

2006 ◽  
Author(s):  
Andrew D. Oliver ◽  
Hy D. Tran ◽  
Andre A. Claudet
Keyword(s):  
High Accuracy ◽  
Measurement Equipment ◽  
Coordinate Measuring Machines ◽  
Manufacturing Costs ◽  
Measurement Systems ◽  
Dimensional Measurement ◽  
Silicon Bulk ◽  
Production Metrology

We are developing calibration artifacts for mesoscale metrology (especially vision probing) by using silicon bulk micromachining. We evaluate these artifacts on both high accuracy coordinate measuring machines (CMMs) and on typical production vision-based measurement systems. This will improve the accuracy of vision-based measurement equipment used in production. Successful realization of these mesoscale artifacts will enhance both production metrology capabilities and reduce manufacturing costs.

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