Computer integrated manufacturing applications in an automotive factory

Abstract

System integration is critical to development and implementation of CIM (computer integrated manufacture). This paper outlines the elements of the CIM system implementation strategy and deals with the representation of CIM implementation stages in TO FAS; which is a car manufacturing factory. In TOFA?, a pilot CIM project has been completed with success and other projects are in the development phase.     

Kompetenzen als Auswahlbasis von Coaches

Many companies are increasingly making use of coaching as an instrument of human resources development. The selection of the a suitable coach is more often based on intuition of the selecting human resources employees than it is objective. This underscores the need for a more systematic approach to the selection of coaches, which is based on the useable competencies of a coach and is also scientifically supported. Through a multiparadigm literature review and an explorative study, this article identifies seven base competencies of coaches, which can serve as a foundation for the selection of a coach.     

Zustandsorientierte Maschinenzuordnungs- und Instandhaltungsplanung

Previous research focuses on preventive maintenance strategies which minimize the costs of break downs and of maintenance activities. Deteriorating machine conditions with the consequence of rising scrap rates and declining productivity are mostly neglected. This paper investigates simultaneous optimization of production and maintenance planning by applying the condition-based maintenance strategy with parallel machines and overlapping capabilities. The presented model allows exploitation of machine wear considering optimal order assignments to machines which is illustrated by a numerical example.     

Critical Theorist,Postmodernist and Social Constructionist Paradigms in Organizational Analysis: A Paradigmatic Review of Organizational Learning Literature

In an effort to clarify alternative approaches to organizational analysis, this paper is concerned to stimulate the debate on how an inquiry into organizational phenomena, in general, and organizational learning, in particular, can be accomplished. Encouraging attention to different aspects of various paradigmatic approaches, the paper focuses on critical theory, postmodernism and social constructionism and how these paradigms have contributed and can contribute to the research in the subject domain of organizational learning. To this end, a paradigmatic review of the literature on organizational learning is offered in this paper. Organizational learning, as the study of learning processes of, and within, organizations, has attracted significant attention in academe since the early 1980s. There is a plethora of studies on organizational learning, which offer rich material for a paradigmatic review. This study highlights the need for further development of the field from alternative paradigmatic perspectives, with a view to generating more insights into the multifaceted, complex and changing nature of learning in contemporary organizations.     

Why perceived organizational and supervisory family support is important for organizations? Evidence from the field

Review of Managerial Science - The relationship between perceived organizational support and its work-outcomes were usually based on social exchange theories. By keeping the social exchange...     

Prostate-specific antigen decline pattern in advanced prostate cancer receiving androgen deprivation therapy and relationship with prostate-specific antigen progression

Introduction: The aim of this study is to evaluate prostate-specific antigen decline pattern including prostate-specific antigen kinetics following androgen deprivation therapy on prostate-specific antigen progression in the patients with advanced prostate cancer.

Materials and methods: Ninety-seven advanced prostate cancer patients receiving maximum androgen deprivation therapy were enrolled in case–control study. Baseline prostate-specific antigen, Gleason Score, bone metastase, nadir prostate-specific antigen, time to nadir prostate-specific antigen, declining slope to nadir prostate-specific antigen, estimated baseline prostate-specific antigen half-time, current prostate-specific antigen, post-nadir prostate-specific antigen time, estimated prostate-specific antigen, estimated decline of baseline prostate-specific antigen as quantitative, and ratio were recorded and calculated.

Results: The ratio of prostate-specific antigen progression was significantly lower at the patients who had slower declining slope to prostate-specific antigen, longer time to nadir prostate-specific antigen, and lower estimated decline ratio of baseline prostate-specific antigen (p: .016, p: .020, and p: .026, respectively).

Conclusions: The shorter time to nadir prostate-specific antigen following androgen deprivation therapy, faster declining slope to nadir prostate-specific antigen and higher estimated decline ratio of baseline prostate-specific antigen are associated with higher risk of disease progression in patients with hormone-sensitive prostate cancer.     

Telling about something that you do not really know: blind people are talking about vision!

In Turkey, the laws which define disability have become increasingly harsh, and require disabled people to be assessed in order to determine ‘how disabled’ they are. For blind people, as for other disabled people, these assessments have real consequences. This article aims to discuss an appealing piece that arose during a project, which has bearing on how disabled people tend to answer these questions. The participants are legally blind adults. We, as sighted researchers, asked totally blind individuals to describe their vision. Interestingly, they all answered this question without hesitation. The paradoxical nature of this question was only realized during the analysis. We requested the participants to talk about something they do not really know. This might be a reflection of our over-visualized world and might be due to our subtle prejudices. This type of questioning not only has implications for research, but also for assessments of disability in Turkey.     

The evaluation of socio-economic development of development agency regions in Turkey using classical and robust principal component analyses

In this study, classical and robust principal component analyses are used to evaluate socioeconomic development of regions of development agencies that give service on the purpose of decreasing development difference among regions in Turkey. Due to the high differences between development levels of regions outlier problem occurs, hence robust statistical methods are used. Also, classical and robust statistical methods are used to investigate if there are any outliers in data set. In classic principal component analyse, the number of observations must be larger than the number of variables. Otherwise determinant of covariance matrix is zero. In Robust method for Principal Component Analysis (ROBPCA), a robust approach to principal component analyse in high-dimensional data, even if the number of variables is larger than the number of observations, principal components are obtained. In this paper, firstly 26 development agencies are evaluated with 19 variables by using principal component analysis based on classical and robust scatter matrices and then these 26 development agencies are evaluated with 46 variables by using the ROBPCA method.     

An evaluation of ridge estimator in linear mixed models: an example from kidney failure data

This paper is concerned with the ridge estimation of fixed and random effects in the context of Henderson's mixed model equations in the linear mixed model. For this purpose, a penalized likelihood method is proposed. A linear combination of ridge estimator for fixed and random effects is compared to a linear combination of best linear unbiased estimator for fixed and random effects under the mean-square error (MSE) matrix criterion. Additionally, for choosing the biasing parameter, a method of MSE under the ridge estimator is given. A real data analysis is provided to illustrate the theoretical results and a simulation study is conducted to characterize the performance of ridge and best linear unbiased estimators approach in the linear mixed model.