Classification of performance and quality indicators in manufacturing

Author(s):  
Fiorenzo Franceschini ◽  
Maurizio Galetto ◽  
Domenico Maisano
Keyword(s):  
2019 ◽  
Vol 1 (7) ◽  
pp. 53-59
Author(s):  
S. A. Nazarevich ◽  
V. G. Farafonov ◽  
A. V. Vinnichenko

The article describes the modernization of consumer characteristics, through the selection of the quality indicators nomenclature using cluster analysis, and bringing the complex technical system (CTS) model using the example of civil aviation technology (CAE) to an invariant form. Also, the article uses a methodological apparatus for assessing the degree of product innovation taking into account the total number of product technical characteristics presented by regulatory and design documentation for the products being created. The obtained characteristics were synthesized by translating consumer requirements of the main participants of the civil aviation equipment market segment. Taking into account the opinions of various consumer groups, five clusters were created and the basic structures of the model of a complex technical system were modeled. Applied technological device suitable for solving problems related to structured and classification of valuable technical characteristics with a planning horizon of 10 years various representatives of the company producing different brands of products related to complex technical systems of civil aviation equipment.


1999 ◽  
Vol 8 (4) ◽  
pp. 396-406 ◽  
Author(s):  
LENA GUNNINGBERG ◽  
CHRISTINA LINDHOLM ◽  
MARIANNE CARLSSON ◽  
PER‐OLOW SJÖdÉn

2020 ◽  
Vol 75 (10) ◽  
pp. e138-e144
Author(s):  
Zoe Burns ◽  
Srijesa Khasnabish ◽  
Ann C Hurley ◽  
Mary Ellen Lindros ◽  
Diane L Carroll ◽  
...  

Abstract Background Many hospital systems in the United States report injurious inpatient falls using the National Database of Nursing Quality Indicators categories: None, Minor, Moderate, Major, and Death. The Major category is imprecise, including injuries ranging from a wrist fracture to potentially fatal subdural hematoma. The purpose of this project was to refine the Major injury classification to derive a valid and reliable categorization of the types and severities of Major inpatient fall-related injuries. Methods Based on published literature and ranking of injurious fall incident reports (n = 85) from a large Academic Medical Center, we divided the National Database of Nursing Quality Indicators Major category into three subcategories: Major A—injuries that caused temporary functional impairment (eg, wrist fracture), major facial injury without internal injury (eg, nasal bone fracture), or disruption of a surgical wound; Major B—injuries that caused long-term functional impairment or had the potential risk of increased mortality (eg, multiple rib fractures); and Major C—injuries that had a well-established risk of mortality (eg, hip fracture). Based on the literature and expert opinion, our research team reached consensus on an administration manual to promote accurate classification of Major injuries into one of the three subcategories. Results The team tested and validated each of the categories which resulted in excellent interrater reliability (kappa = .96). Of the Major injuries, the distribution of Major A, B, and C was 40.3%, 16.1%, and 43.6%, respectively. Conclusions These subcategories enhance the National Database of Nursing Quality Indicators categorization. Using the administration manual, trained personnel can classify injurious fall severity with excellent reliability.


Author(s):  
Natalia S. Petrova ◽  
Natalia Yu. Denisova ◽  
Aliaksei V. Kirykovich

The requirements of complex subsoil use are increasing in the Pripyat potash-bearing basin: potash ore of new technologic types, with lower contents of useful components, increased concentrations of harmful impurities. Using all complex of quality indicators assessment of natural types of potash ore is undoubtedly prioritized by characteristic of potash deposits. The study of structural and textural features and composition of potash deposits has been given attention since the time of discover of the Starobin deposit. Systematic study of salt rock petrology has been started after the discovery of the Starobin deposit. Until now in the petrology, there is no recognized rational genetic classification of the structures of salt rocks being potash (potassium-magnesium) ore. The name of certain structure is based on the secondary features that are brightly expressed, color or similarity with different objects. The aim of the present work is an element recognition of the primary sedimentary features of rocks, systematization of primary and secondary characteristics and their typification according to petrochemical parameters. In the article the main microfabric types of potash ore that are typical for the deposits of red-colored and mottled hypersaline association of the Pripyat basin.


2021 ◽  
Author(s):  
Johannes Hengelbrock ◽  
Johannes Rauh ◽  
Jona Cederbaum ◽  
Maximilian Kaehler ◽  
Michael Hoehle

Background For evaluating the quality of care provided by hospitals, special interest lies in the identification of performance outliers. We study a setting where the decision to classify hospitals as performance outliers or non-outliers is based on the observed result of a single binary quality indicator. Methods We propose to embed the classification of providers into a Bayesian decision theoretical framework which enables the derivation of optimal decision rules with respect to the expected decision consequences. We argue that these consequences depend upon for which pathway to quality improvement the profiling of hospitals takes place. We propose paradigmatic utility functions for the two pathways external reporting and change in care delivery and compare the resulting optimal decision rules with regard to their threshold values, sensitivity and specificity. We further apply them to the area of hip replacement surgeries, for which we re-evaluate hospital performances for five quality indicators in Germany during 2017. Results Based on the utilities we assigned to the classification decisions, the decision rule for change in care delivery classifies more high-volume providers as outliers compared to the decision rule for external reporting, with consequences for both sensitivity and specificity. The re-evaluation of the five quality indicators illustrates that classification decisions are highly dependent upon the underlying utilities. Conclusion Analyzing the classification of hospitals as a decision theoretic problem and considering pathway-specific consequences of decisions can help to derive an appropriate decision rule. Contrasting decision rules with regard to their underlying assumptions about the utilities of classification consequences can be helpful to make implicit assumptions transparent and justifiable.


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