A SIMULATION ANALYSIS OF THE JAPANESE JUST-IN-TIME TECHNIQUE (WITH KANBANS) FOR A MULTILINE,MULTISTAGE PRODUCTION SYSTEM

The Japanese “just-in-time with kanban” technique reduces in-process inventory to absolute minimal levels, in concert with the Japanese belief that inventory is an unnecessary evil. Due to the success of Japanese firms that employ this type of system, American firms would like to import this technique and emulate Japanese successes. But this Japanese success may be attributable not only to the just-in-time with kanban technique but also to the production environment in which the technique is employed. This paper simulates the just-in-time with kanban technique for a multiline, multistage production system in order to determine its adaptability to an American production environment that might include such characteristics as variable processing times, variable master production scheduling, and imbalances between production stages. The results have practical implications for those firms considering adoption of the Japanese technique.     

The Effect of Occupational Sex Composition on the Gender Gap in Workplace Authority

This article compares women and men's attainment of workplace authority in female-dominated, mixed, and male-dominated occupations. It is based on a representative mobility study of Jewish women in the Israeli labor force conducted in 1991–1992. Two sets of hypotheses are offered based on two competing theories. The first theory predicts that in female occupations women have more influence and mutual support than in male occupations, and, hence, they will have more access to authority. The opposing perspective argues that in male-dominated occupations the competition between women and men is weaker, and therefore men have a smaller incentive to discriminate against women. Our findings support the second argument. The gender gap in authority is larger in female-dominated occupations, and women have the highest chances to have authority when they work in male occupations; men have similar chances, no matter in which type of occupation they are employed.     

On predictive distributions and Bayesian networks

In this paper we are interested in discrete prediction problems for a decision-theoretic setting, where the task is to compute the predictive distribution for a finite set of possible alternatives. This question is first addressed in a general Bayesian framework, where we consider a set of probability distributions defined by some parametric model class. Given a prior distribution on the model parameters and a set of sample data, one possible approach for determining a predictive distribution is to fix the parameters to the instantiation with the maximum a posteriori probability. A more accurate predictive distribution can be obtained by computing the evidence (marginal likelihood), i.e., the integral over all the individual parameter instantiations. As an alternative to these two approaches, we demonstrate how to use Rissanen's new definition of stochastic complexity for determining predictive distributions, and show how the evidence predictive distribution with Jeffrey's prior approaches the new stochastic complexity predictive distribution in the limit with increasing amount of sample data. To compare the alternative approaches in practice, each of the predictive distributions discussed is instantiated in the Bayesian network model family case. In particular, to determine Jeffrey's prior for this model family, we show how to compute the (expected) Fisher information matrix for a fixed but arbitrary Bayesian network structure. In the empirical part of the paper the predictive distributions are compared by using the simple tree-structured Naive Bayes model, which is used in the experiments for computational reasons. The experimentation with several public domain classification datasets suggest that the evidence approach produces the most accurate predictions in the log-score sense. The evidence-based methods are also quite robust in the sense that they predict surprisingly well even when only a small fraction of the full training set is used.     

Mobilities and peace

This article considers how an increasingly visible set of mobilities has implications for how peace and conflict are imagined and responded to. We are particularly interested in how these mobilities take form in everyday actions and shape new forms of peace and challenge existing ones. The article considers fixed categories associated with orthodox peace such as the international, borders and the state that are predicated on territorialism, centralized governance, and static citizenship. The article can be read as a critique of liberal peacebuilding and a contribution to current debates on migration, space and the everyday. Through conceptual scoping we develop the notion of mobile peace to characterize the fluid ways in which is being constructed through the mobilitiy of people and ideas.     

Ecosystem services deficits in cross-boundary landscapes: spatial mismatches between green and grey systems

Urban Ecosystems - Quantitative analyses of the influence of boundary lines on ecosystem services distributions remain rare. Approaches towards integrative assessments of green and grey landscape...     

Rap music,race, and perceptions of crime

Scholars who study rap music have long expressed concerns that criticism of the genre is inextricably linked to stereotypes of young Black men in the United States. Yet minimal research has empirically examined how rap music is linked to race in ways that legitimize and maintain anti‐Black attitudes, particularly attitudes related to crime. This article reviews how scholars have typically challenged seemingly racialized concerns about rap music before surveying the handful of studies that empirically examine attitudes related to rap music, race, and crime. In so doing, this essay highlights a growing need for broader conceptualizations of race/ethnicity and social control.