Regression Model and Control in Experimental Mechanical Processes

2014 ◽  
Vol 518 ◽  
pp. 155-160
Author(s):  
Ângelo Márcio Oliveira Sant’Anna ◽  
Danilo Marcondes Filho

The use of the regression model is usually applied in experimental mechanics processes and allowing for modeling the relationship between one or more process variables. Besides, the regression models are used for monitoring of response variables as function of one or more process variables. The scheme is based on the residuals deviance from regression model for detecting any disturbance in the control variables. This paper presents the control charts from modeling of an experimental mechanic industrial processes that involve count variables. We illustrated the performance of scheme to case study based on real process.

2015 ◽  
Vol 27 (1) ◽  
pp. 135-149 ◽  
Author(s):  
Ângelo Márcio Oliveira Sant'Anna

Purpose – The purpose of this paper is to propose a framework of decision making to aid practitioners in modeling and optimization experimental data for improvement quality of industrial processes, reinforcing idea that planning and conducting data modeling are as important as formal analysis. Design/methodology/approach – The paper presents an application was carried out about the modeling of experimental data at mining company, with support at Catholic University from partnership projects. The literature seems to be more focussed on the data analysis than on providing a sequence of operational steps or decision support which would lead to the best regression model given for the problem that researcher is confronted with. The authors use the concept of statistical regression technique called generalized linear models. Findings – The authors analyze the relevant case study in mining company, based on best statistical regression models. Starting from this analysis, the results of the industrial case study illustrates the strong relationship of the improvement process with the presented framework approach into practice. Moreover, the case study consolidating a fundamental advantage of regression models: modeling guided provides more knowledge about products, processes and technologies, even in unsuccessful case studies. Research limitations/implications – The study advances in regression model for data modeling are applicable in several types of industrial processes and phenomena random. It is possible to find unsuccessful data modeling due to lack of knowledge of statistical technique. Originality/value – An essential point is that the study is based on the feedback from practitioners and industrial managers, which makes the analyses and conclusions from practical points of view, without relevant theoretical knowledge of relationship among the process variables. Regression model has its own characteristics related to response variable and factors, and misspecification of the regression model or their components can yield inappropriate inferences and erroneous experimental results.


Water ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 37
Author(s):  
Tomás de Figueiredo ◽  
Ana Caroline Royer ◽  
Felícia Fonseca ◽  
Fabiana Costa de Araújo Schütz ◽  
Zulimar Hernández

The European Space Agency Climate Change Initiative Soil Moisture (ESA CCI SM) product provides soil moisture estimates from radar satellite data with a daily temporal resolution. Despite validation exercises with ground data that have been performed since the product’s launch, SM has not yet been consistently related to soil water storage, which is a key step for its application for prediction purposes. This study aimed to analyse the relationship between soil water storage (S), which was obtained from soil water balance computations with ground meteorological data, and soil moisture, which was obtained from radar data, as affected by soil water storage capacity (Smax). As a case study, a 14-year monthly series of soil water storage, produced via soil water balance computations using ground meteorological data from northeast Portugal and Smax from 25 mm to 150 mm, were matched with the corresponding monthly averaged SM product. Linear (I) and logistic (II) regression models relating S with SM were compared. Model performance (r2 in the 0.8–0.9 range) varied non-monotonically with Smax, with it being the highest at an Smax of 50 mm. The logistic model (II) performed better than the linear model (I) in the lower range of Smax. Improvements in model performance obtained with segregation of the data series in two subsets, representing soil water recharge and depletion phases throughout the year, outlined the hysteresis in the relationship between S and SM.


2021 ◽  
Vol 25 (8) ◽  
pp. 1477-1482
Author(s):  
O.F. Odeyinka ◽  
F.O. Ogunwolu ◽  
O.P. Popoola ◽  
T.O. Oyedokun

Process capability analysis combines statistical tools and control charts with good engineering judgment to interpret and analyze the data representing a process. This work analyzes the process capability of a polypropylene bag producing company. The case study organization uses two plants for production and data was collected over a period of nine months for this study. Analysis showed that the output spread of plant 1 was greater than the specification interval spread which implies poor capability. There are non-conforming parts below the Lower Specification Limit (LSL: 500,000 metres) and above the Upper Specification Limit (USL: 600,000 metres) and that the output requires improvement. Similarly, the capability analysis of plant 2 shows that the overall output spread is greater than the specification interval spread (poor capability). The output centre in the specification and overall interval are vertically aligned, thus specifying that the output from plant 2 is also process centered and requires improvement. Recommendations were made to improve the outputs from each production plant.


2018 ◽  
Vol 10 (12) ◽  
pp. 4564 ◽  
Author(s):  
Zhuangbin Shi ◽  
Ning Zhang ◽  
Yang Liu ◽  
Wei Xu

Reliable and accurate estimates of metro demand can provide metro authorities with insightful information for the planning of route alignment and station locations. Many existing studies focus on metro demand from daily or annual ridership profiles, but only a few concern the variation in hourly ridership. In this paper, a geographically and temporally weighted regression (GTWR) model was used to examine the spatial and temporal variation in the relationship between hourly ridership and factors related to the built environment and topological structure. Taking Nanjing, China as a case study, an empirical study was conducted with automatic fare collection (AFC) data in three weeks. With an analysis of variance (ANOVA), it was found that the GTWR model produced the best fit for hourly ridership data compared with traditional regression models. Four built-environment factors, namely residence, commerce, scenery, and parking, and two topological-structure factors, namely degree centrality and closeness centrality, were proven to be significantly related to station-level ridership. The spatial distribution pattern and temporal nonstationarity of these six variables were further analyzed. The result of this study confirmed that the GTWR model can provide more realistic and useful information by capturing spatiotemporal heterogeneity.


2019 ◽  
Vol 32 (2) ◽  
pp. 401-420
Author(s):  
Michela Magliacani ◽  
Roberto Di Pietra

Purpose Accounting can affect and determine power relations. Previous studies have emphasized how accounting has been used by “central” powers; less is known from the perspective of “local” power and its capacity to resist and protect its interests. The purpose of this paper is to investigate the relationship between the Archbishop’s Seminary of Siena (ASS) (local) and Roman ecclesiastic institutions (central). This study contributes to filling the existing gap in the literature regarding how accounting could be used as a tool for deception in local/central power relations. Design/methodology/approach The research methodology is based on a case study and archival research. The ASS case study was analyzed through its archive, made up for the most part of accounting books. As to the approach adopted, the authors used the Foucault framework to observe power relations in order to identify possible ways in which accounting can be employed as a factor of deception. Findings Power relations between the ASS and Roman ecclesiastic institutions were maintained through a system of reporting that limited the influence of the ecclesiastical power of Rome over the Seminary’s administration and control. The relationship thus runs contrary to the findings in previous studies. The accounting system was managed as a factor of deception in favor of local interests and the limitation of central ecclesiastic power. Research limitations/implications This study contributes to enhancing the existing literature on governmentality, proposing a different perspective in which power relations are based on the use of accounting. The Foucaldian approach demonstrates its validity, even though the power relations under consideration have the unusual feature of occurring within the context of religious institutions. Originality/value This study on the ASS has allowed the identification of two relevant points: the local/central dichotomy is consistent with the logic of power relations as theorized by Foucault, even in cases where it highlights the role of a local power in limiting the flow of information to a central one; and the ASS accounting system was used as a factor of deception.


2008 ◽  
Vol 13 (2) ◽  
pp. 81-98 ◽  
Author(s):  
Muhammad Abdul Majid Makki ◽  
Suleman Aziz Lodhi

The aim of this study is to examine the relationship between intellectual capital efficiency and the firm's profitability. The importance of intellectual capital (IC) and the related philosophy of the knowledge economy have captured the attention of researchers and business enterprises in the World Trade Organization (WTO) era. IC is widely recognized as a tool that is critical to running a successful business in a highly competitive environment. Various models have been introduced to measure the numerous facets of IC, including the Skandia navigator, Tobin's Q, and value added intellectual coefficient (VAIC). This article examines the role of IC efficiency in the firm’s net profit using the VAIC developed by Ante Pulic (1998). It also investigates its correlation with the firm’s profitability, using regression models.


Author(s):  
Claudia Prestano ◽  
Viviana Cicero ◽  
Salvatore Gullo ◽  
Grazia Alcuri ◽  
Gianluca Lo Coco ◽  
...  

There is an emerging empirical evidence that patients with eating disorders have severe metacognitive concerns, i.e. ability to reflect on mental states. This single-case study aims to explore the relationship between limited metacognition and eating symptoms in six patients who attended a long-term group treatment. This study also aims at analysing the change of patients metacognition over the course of treatment. All the patients were female, with a mean age of 17 years. Three patients have a diagnosis of anorexia nervosa, and three have a diagnosis of bulimia nervosa. The group treatment was delivered in a outpatient clinic of the hospital of Acireale (CT). The SVaM (Carcione et al., 1997) was used to measure metacognition of patients, by analysing the transcripts of group sessions. The preliminary findings, which included the first year of the group treatment (N=27 group sessions) showed that metacognitive dysfunctions more evident concern Understanding One's Own Mind and Mastery. The first concerns abilities to reflect on the own mental states; the second concerns ability of regulation and control. Data show that patients don't present failures in the Understanding Other's Minds. The study has not identified meaningful differences between anorexic patients and bulimic patients.


2003 ◽  
Vol 46 (3) ◽  
pp. 623-648 ◽  
Author(s):  
LOUISE A. JACKSON

The term ‘policing’ is often used to refer to a broad range of regulatory practices, which have been associated with the development of educative and social work frameworks in the modern state. The relationship between the concepts of ‘welfare’ and ‘penality’ (or ‘care’ and ‘control’) has been the subject of a number of recent studies of social intervention in twentieth-century Britain. However, the role of police officers themselves in the ‘policing of families’ has rarely been elaborated. From their initial appointment to London's Metropolitan Police in 1919 until their official integration on the same terms as male officers in the early 1970s, women police officers played a significant role in the detection and prevention of child abuse, neglect, and female delinquency. Through a case study of the work of the Metropolitan Women Police branch, this article considers the negotiation of a social work ethic within policing as well as the shifting configuration of the ‘care’/‘control’ nexus in welfare legislation and professional practice. The Metropolitan Women Police tended to see ‘care’ and ‘control’ as mutually reinforcing rather than conflicting concepts. Such a formulation was resonant with the rhetoric of social work and official legislation until the early 1960s. It also reflected the philosophy of crime prevention laid down as the principal object of policing, enabling women to justify involvement in child protection and welfare as an aspect of police work.


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