SU-FF-T-220: Standardizing Standards: The Development of Quality Control Criteria for Canadian Radiation Therapy Equipment

2005 ◽  
Vol 32 (6Part10) ◽  
pp. 2000-2000
Author(s):  
P Dunscombe ◽  
C Arsenault ◽  
G Mawko ◽  
J Bissonnette ◽  
H Johnson ◽  
...  
Keyword(s):  
Quality Control ◽  
Radiation Therapy ◽  
Quality Control Criteria ◽  
Control Criteria

Human resources ranking in a cloud-based knowledge sharing framework using the quality control criteria

Kybernetes ◽  
2017 ◽  
Vol 46 (5) ◽  
pp. 876-892 ◽  
Author(s):  
Parisa Fouladi ◽  
Nima Jafari Navimipour
Keyword(s):  
Quality Control ◽  
Human Resources ◽  
Hierarchical Structure ◽  
Simple Method ◽  
Content Type ◽  
Quality Control Criteria ◽  
Control Criteria ◽  
Selection Of

Purpose This paper aims to propose a new method for evaluating the quality and prioritizing of the human resources (HRs) based on trust, reputation, agility, expertise and cost criteria in the expert cloud. To evaluate some quality control (QC) factors, a model based on the SERVQUAL is used. Design/methodology/approach The aim of this paper is to offer a fast and simple method for selecting the HRs by the customers. To achieve this goal, the ranking diagram of different HRs based on the different criteria of QC is provided. By means of this method, the customer can rapidly decide on the selection of the required HRs. By using the proposed method, the scores for various criteria are evaluated. These criteria are used in the ranking of each HR which is obtained based on the evaluation conducted by previous customers and their colleagues. First, customers were asked to select their needed criteria and then by constructing a hierarchical structure, the ranking diagram of different HRs is achieved. Using a ranking system based on evaluating the quality of the model, satisfy the customer needs to be based on the properties of HRs. Also, an analytical hierarchical process-based ranking mechanism is proposed to solve the problem of assigning weights to features for considering the interdependence between them to rank the HRs in the expert cloud. Findings The obtained results showed the applicability of the radar graph using a case study and also numerically obtained results showed that a hierarchical structure increases the quality and speed rating of HR ranking than the previous works. Originality/value The suggested ranking method in this paper allows the optimal selection due to the special needs of any given customer in the expert cloud.

scholarly journals Response to Response

2021 ◽  
pp. 546-554
Author(s):  
Carol D. Ryff ◽  
Jennifer Morozink Boylan ◽  
Julie A. Kirsch
Keyword(s):  
Quality Control ◽  
Scientific Community ◽  
Well Being ◽  
Critical Element ◽  
Conceptual Foundation ◽  
Prior Literature ◽  
Quality Control Criteria ◽  
Sound Measurement ◽  
Control Criteria ◽  
Scientific Questions

We challenge the view that “one is better than none” on grounds that single-item assessments perpetuate a simplistic view of well-being, which is out of touch with how the field has progressed over recent decades. We also question blanket advocacy for measures in the absence of substantive scientific questions that require thoughtful engagement with the prior literature to make sound measurement choices. Substantive illustrations, invoking research on well-being and health in different cultural and socioeconomic contexts, are provided. Quality control is also essential in making sound measurement choices. Numerous contenders fail at this juncture because they have no conceptual foundation and also lack rigorous psychometric analyses documenting their empirical credibility. Another critical element in adjudicating measurement quality is extent of prior usage: evidence that the measures have taken hold in the scientific community, indicated by citation counts and number of published studies. We conclude that all such quality control criteria were inadequately addressed or missing in the measurement recommendations put forth in Chapter 17.

scholarly journals An update to the Surface Ocean CO<sub>2</sub> Atlas (SOCAT version 2)

2014 ◽  
Vol 6 (1) ◽  
pp. 69-90 ◽  
Author(s):  
D. C. E. Bakker ◽  
B. Pfeil ◽  
K. Smith ◽  
S. Hankin ◽  
A. Olsen ◽  
...  
Keyword(s):  
Quality Control ◽  
Carbon Sink ◽  
Synthesis Product ◽  
Individual Data ◽  
Data Set ◽  
Surface Ocean ◽  
Quality Control Criteria ◽  
Data Coverage ◽  
Ocean Carbon ◽  
Control Criteria

Abstract. The Surface Ocean CO2 Atlas (SOCAT), an activity of the international marine carbon research community, provides access to synthesis and gridded fCO2 (fugacity of carbon dioxide) products for the surface oceans. Version 2 of SOCAT is an update of the previous release (version 1) with more data (increased from 6.3 million to 10.1 million surface water fCO2 values) and extended data coverage (from 1968–2007 to 1968–2011). The quality control criteria, while identical in both versions, have been applied more strictly in version 2 than in version 1. The SOCAT website (http://www.socat.info/) has links to quality control comments, metadata, individual data set files, and synthesis and gridded data products. Interactive online tools allow visitors to explore the richness of the data. Applications of SOCAT include process studies, quantification of the ocean carbon sink and its spatial, seasonal, year-to-year and longerterm variation, as well as initialisation or validation of ocean carbon models and coupled climate-carbon models. Data coverage Repository-References: Individual data set files and synthesis product: doi:10.1594/PANGAEA.811776 Gridded products: doi:10.3334/CDIAC/OTG.SOCAT_V2_GRID Available at: http://www.socat.info/ Coverage: 79° S to 90° N; 180° W to 180° E Location Name: Global Oceans and Coastal Seas Date/Time Start: 16 November 1968 Date/Time End: 26 December 2011

IMPROVEMENT OF QUALITY CONTROL SYSTEM FOR BRANDY PRODUCTS

2018 ◽  
Author(s):  
И.В. ОСЕЛЕДЦЕВА ◽  
Ю.Ф. ЯКУБА
Keyword(s):  
Quality Control ◽  
Control System ◽  
Raw Materials ◽  
Statistical Processing ◽  
Quality Control System ◽  
Volatile Impurity ◽  
Oak Wood ◽  
Quality Control Criteria ◽  
Cis Countries ◽  
Control Criteria

Усовершенствована система контроля качества коньячной продукции путем расширения перечня показателей контроля. Объектом исследований были коньяки и коньячные дистилляты, молодые и выдержанные от 1 года до 40 лет, выработанные в условиях разных географических зон стран СНГ и ЕС; опытные образцы дистиллятов на основе виноградного, яблочного и зернового сырья, образцы коньячных дистиллятов, выдержанных на дубовой клепке из древесины дуба кавказского и французского. С учетом результатов многолетних исследований обоснован выбор дополнительных показателей контроля качества коньячных дистиллятов и коньяков. Сформированы три группы критериев контроля качества: единичные летучие примесные компоненты состава, единичные экстрагируемые компоненты состава и блок расчетных критериев на основе соотношений концентраций компонентов состава. Статистическую обработку результатов исследований проводили с использованием компьютерной программы Statistica 6.0. Установлены 22 критериальных компонента состава, которые могут быть использованы в качестве единичных показателей контроля, и 8 расчетных показателей контроля качества, позволяющих подтверждать подлинность коньячной продукции и выявлять признаки фальсификации, оценивать соответствие использованного сырья заявленному наименованию и требуемым нормативам качества, обнаруживать использование запрещенных приемов на стадии переработки винограда и при проведении выдержки коньячных дистиллятов в контакте с древесиной дуба, а также нарушения в процессе дистилляции и факты внесения запрещенных добавок. The quality control system of cognac products by expanding the list of control indicators has been improved. The research materials were brandy and distillates young and mature, aged from 1 year to 40 years, developed under different geographical zones of the CIS countries and the EU; the test samples of the distillate on the basis of grape, Apple and grain raw materials, samples of cognac distillates aged on oak rivets from oak wood Caucasian and French. Taking into account the results of many years of research, the choice of additional indicators of quality control of brandy and distillates is justified. Three groups of quality control criteria: single volatile impurity components of the composition, single extractable components of the composition and a block of design criteria based on the ratio of the concentrations of the components of the composition – are formed. Statistical processing of the research results was performed using a computer program Statistica 6.0. 22 criteria components of the composition, which can be used as single indicators of control, and 8 calculated indicators of quality control, allowing to confirm the authenticity of brandy products and to identify signs of falsification, to assess the compliance of the used raw materials to the declared name and the required quality standards, to detect the use of prohibited methods at the stage of processing grapes and during the aging of distillates in contact with oak wood, as well as violations in the distillation process and the facts of introduction of prohibited additives, have been established.

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