Group selection for production yield among k manufacturing lines

Producing qualified items or products is essential to meet the requirement preset by customers. Evaluation and selection of desired manufacturing lines become challenging tasks for decision makers. Production yield is one of the important factors in measuring production performance. The goal of this paper is to screen a group of manufacturing lines and identify the best one with the highest yield. For the production lines with extremely low fraction of defectives, the yield index, S_pk, is an efficient indicator for quality level. This paper considers the production selection problem by using S_pk to compare k (k>2) manufacturing lines. A subset is constructed to contain the production lines with the highest yield. A systematic approach of test order k compares selected pairs of manufacturing lines along with the Bonferroni method is proposed to solve this problem. Each pair of production yields is compared by taking ratio. The paper provides critical values and required sample sizes of the group selection procedure. An application example on evaluating four power inductor productions is presented to illustrate the practicality of the proposed approach.     

Lower confidence bounds as precision measure for truncated processes

Process capability index C_p has been the most popular one used in the manufacturing industry to provide numerical measures on process precision. For normally distributed processes with automatic fully inspections, the inspected processes follow truncated normal distributions. In this article, we provide the formulae of moments used for the Edgeworth approximation on the precision measurement C_p for truncated normally distributed processes. Based on the developed moments, lower confidence bounds with various sample sizes and confidence levels are provided and tabulated. Consequently, practitioners can use lower confidence bounds to determine whether their manufacturing processes are capable of preset precision requirements.     

Evaluation of the importance of ornamental plants for pollinators in urban and suburban areas in Stuttgart,Germany

Urban Ecosystems - Urban landscapes are often characterized by a wide range of diverse flowering plants consisting of native and exotic plants. These flower-rich habitats have proven to be...     

Multiple change points detection and clustering in dynamic networks

The increasing amount of data stored in the form of dynamic interactions between actors necessitates the use of methodologies to automatically extract relevant information. The interactions can be represented by dynamic networks in which most existing methods look for clusters of vertices to summarize the data. In this paper, a new framework is proposed in order to cluster the vertices while detecting change points in the intensities of the interactions. These change points are key in the understanding of the temporal interactions. The model used involves non-homogeneous Poisson point processes with cluster-dependent piecewise constant intensity functions and common discontinuity points. A variational expectation maximization algorithm is derived for inference. We show that the pruned exact linear time method, originally developed for change points detection in univariate time series, can be considered for the maximization step. This allows the detection of both the number of change points and their location. Experiments on artificial and real datasets are carried out, and the proposed approach is compared with related methods.     

Saving Academic Sociology

In this paper, I argue that academic sociology threatens to slip into the very limited relevance of scholasticism. Saving it from such a fate will require less academic interest in textual or epistemological analysis and more academic interest in the contributions to empirical understanding that applied sociology can make.     

Inflation,decimalization and the estimated sizes of coins

Subjects who were asked, in 1976, to estimate the sizes of British coins either under their current names or under their names before decimalization in 1971, gave bigger estimates under the old names. This difference is attributed to the loss of value of the coins since 1971.     

The Silent Message: Communication in a Family with a Dying Patient*

This paper discusses the functionality of the linguistic code in the communication processes of a family in a crisis situation and in need of concealing its plight. Basic concepts of verbal interaction are discussed to show the difficulties of any open exchange of messages within a family with a dying patient. The paper concludes with two observations from a case study.     

Reporting Suspected Child Maltreatment: Educating Social Work Students in Decision Making and Maintaining the Relationship

ABSTRACT

As future mandated reporters, social work students face the dual challenge of rendering accurate reporting decisions while concurrently maintaining the therapeutic relationship in an effort to decrease future child abuse and neglect. To address the paucity of training in this regard, 42 bachelor of social work (n=18) and master of social work (n=24) students participated in a workshop focused on decision making and the therapeutic relationship in mandatory reporting of child abuse and neglect. Participants were given a case vignette and responded in writing to structured questions. Two patterns emerged from the qualitative analysis: factors that centered on the case and those that centered on the social worker. Implications for social work education are suggested.     

What we learned from the Dust Bowl: lessons in science,policy, and adaptation

This article provides a review and synthesis of scholarly knowledge of Depression-era droughts on the North American Great Plains, a time and place known colloquially as the Dust Bowl era or the Dirty Thirties. Recent events, including the 2008 financial crisis, severe droughts in the US corn belt, and the release of a popular documentary film, have spawned a resurgence in public interest in the Dust Bowl. Events of the Dust Bowl era have also proven in recent years to be of considerable interest to scholars researching phenomena related to global environmental change, including atmospheric circulation, drought modeling, land management, institutional behavior, adaptation processes, and human migration. In this review, we draw out common themes in terms of not only what natural and social scientists have learned about the Dust Bowl era itself, but also how insights gained from the study of that period are helping to enhance our understanding of climate–human relations more generally.