Production strategy decisions a simulation model approach

Model building in physical, statistical, simulation or other form, is making an increasing contribution to the problem solving methodology in economics, industry, government, and technological development (1). More specifically, in the present context, simulation models can offer a distinctive and valuable contribution to the understanding by management of complex business systems, interactions and environment and indicate ways toward improvement, financial and otherwise (2). The advent of powerful computers in the last few years is the decisive factor which has decided the means of realizing the full potential of simulation models, hitherto unattainable because of the vast amount of data processing and calculation required. The purpose of this article is to indicate the approach to and scope of a computerized simulation model for long term production strategy decision making (3). While the model relates to the system and data of a specific production unit, manufacturing electronic components, the principles are widely applicable in any size and type of company. It is not a specifically large company technique.     

New venture development at Du Pont

New Products are the life blood of a growing company, but traditional methods of introducing new products are no longer adequate. Du Pont is using a new approach called Venture Management. A New Venture Development provides an ideal environment for making and carrying out decisions involved in introducing new technological developments. It combines the advantages in mobility and communications enjoyed by a small venture-orientated company with the strong technical and financial advantages of a large company.     

Socioeconomic,sociodemographic and attitudinal correlates of the tempo of divorce

The association between sociodemographic, demographic, and attitudinal measures and the timing or tempo of marital dissolution over a 14-year time span is examined. Separation is considered equivalent to divorce. Early and late divorce are differentiated by whether the event occurred before or after the average number of years married prior to divorce. Data were obtained on husbands and wives within childbearing years (up to 39 years) in the 1st years of the 1st marriage. A random stratified sample of 610 couples was drawn from records of marriages in a midwestern county between 1972-77. Reinterviews were conducted on 544 couples in April 1985. socioeconomic variables included educational attainment, occupational prestige, wife's employment status, wife's future work plans, husband's attitude to wife's future work plans, total family income, and level of satisfaction with current financial status. Demographic variables are age at marriage, number of children in 1985, marital duration, and desired family size. Attitudinal items were religiosity and gender role orientations (traditionalism, modernism, egalitarianism). Exposure to divorce was not equitably distributed for the 108 who divorced, but this was not statistically significant. The results indicate that those divorced earlier were wives who worked outside the home, worked at more prestigious jobs, planned to be employed throughout married life, and whose father had a higher level of educational attainment. This finding is not consistent with prior research which has shown that favorable socioeconomic conditions lower the probability of divorce. The timing of divorce was affected by the presence of children. Those married at younger ages divorced earlier and couples with children delayed divorcing longer than couples without children. These findings were consistent with earlier research. Catholic wives delayed divorce longer than non-Catholic wives. Males lower in sexual satisfaction divorced earlier. Divorce was postponed longer for husbands with traditional values and wives who had higher scores on egalitarianism. Wives with scores on modernism had earlier divorces than wives scoring lower on modernism. The tempo of divorce was in multiple classification analysis predicted best by wife's employment status and number of children. Cross-classification was not possible.     

Group therapists' countertransference reactions to multiple deaths from aids

Group therapists for those with HIV Related Diseases are becoming the “professional” survivors of this world-wide epidemic. From their experiences we may learn a great deal more about the effects of multiple deaths on mental health care professionals. As therapists they are constantly eliciting and listening to the fears, hopes, agonies and terrors of those with this disease. They become the bereaved. Witnesses to the deaths of many of their group members, they struggle with a wide range of emotional responses while at the same time assisting surviving group members in their struggle to live with these deaths. Mourning reactions and countertransference phenomena are in abundance as these therapists grapple with these group processes. This article identifies and examines these therapists' responses by focusing on clinical illustrations drawn from their bi-weekly supervision sessions.     

Poisson regression with misclassified counts: application to cervical cancer

"Errors in disease classification can give misleading inferences for covariate effects when the probability of error is itself related to the covariates. More accurate inferences are possible using supplemental data on both true and fallible disease counts at various covariate levels. We present a method for incorporating such supplemental data into disease rate regression and use it to show that, although observed intercountry differences in European cervical cancer mortality rates are exaggerated by errors in death certification, they are not completely explained by such errors." The data concern Belgium, England and Wales, France, and Italy.     

Adjustment of provisional mortality series: the dynamic linear model with structured measurement errors

The authors "consider the problem of adjusting provisional time series using a bivariate structural model with correlated measurement errors. Maximum likelihood estimators and a minimum mean squared error adjustment procedure are derived for a provisional and final series containing common trend and seasonal components. The model also includes measurement errors common to both series and errors that are specific to the provisional series. [The authors] illustrate the technique by using provisional data to forecast ischemic heart disease mortality."