The U.S. Department of Energy (DOE) Office of Industrial Technologies (OIT) established the Industries of the Future (IOF) program to increase energy efficiency, reduce waste production and to improve competitiveness, currently focusing on nine sectors. The IOF is a partnership strategy...

The Office of Industrial Technologies (OIT) within the US DOE has recently initiated the Industrial Waste Reduction Program, which is designed to reduce industrial energy use and pollution by reducing the amount of waste materials generated. The Program's primary focus is to develop and...

Approximately a hundred years ago the petrochemical industry was in its infancy, while the chemical industry was already well established. Today, both of these industries, which are almost indistinguishable, are a substantial part of the makeup of the U.S. economy and the lifestyle we enjoy. It...

Retail agrichemical dealers have become increasingly familiar with the concept of containment over the past several years. Currently, containment regulations are in place in 13 states, and are being drafted in 7 others. Agrichemical dealers in these states will be required to assess the...

The incentives for establishing and the expertise for implementing successful waste minimization programs can be found in every company. The “in-house” expertise that discovers, designs, builds and manages manufacturing processes understand chemicals and chemical processes, and are the best...

This paper establishes the tactics that auditors use in negotiations with their client-management. It analyses those tactics to determine whether they are related by some underlying dimensions and their relevant strategies. Auditors performed a sorting task on 38 audit-specific tactics and...

In many regression applications, users are often faced with difficulties due to nonlinear relationships, heterogeneous subjects, or time series which are best represented by splines. In such applications, two or more regression functions are often necessary to best summarize the underlying...

This paper develops a maximum likelihood based method for simultaneously performing multidimensional scaling and cluster analysis on two-way dominance or profile data. This MULTICLUS procedure utilizes mixtures of multivariate conditional normal distributions to estimate a joint space of...

This paper develops a maximum likelihood based methodology for simultaneously performing multidimensional unfolding and cluster analysis on two-way dominance or profile data. This new procedure utilizes mixtures of multivariate conditional normal distributions to estimate a joint space of...