Production capital and technology (i.e., total factor productivity) in U.S. manufacturing are fundamental for understanding output and productivity growth of the U.S. economy but are unobserved at this level of aggregation and must be estimated before being used in empirical analysis. Previously, we developed a method for estimating production capital and technology based on an estimated dynami...

Simulation technology has been demonstrated to be an effective tool for reducing costs, improving quality, and shortening the time-to-market for manufactured goods in the manufacturing industry. But, there are a number of technical and economic barriers that hinder the use of this technology in the manufacturing industry. The cost of developing, implementing, and using simulation technology is ...

The race to economic superiority is increasingly occurring on a global scale. Competitors from different countries are employing new types of growth strategies in attempts to win that race. The United States cannot, therefore, continue to rely on outdated economic growth strategies, which include an inability to understand the complexity of the typical industrial technology and the synergies am...

In many developing countries, agriculture hires at least as many workers as manufacturing industries. We investigate an economic geography model in which agricultural goods are costly to transport and in which manufactures hire labor from the local agricultural sector as unskilled labor. Our conclusions show that the parameters in the agricultural sector are crucial to determine the spatial con...

A dynamical model of optimal economic growth is used for the comparison of catalogues of real econometric data and synthetic growth scenarios. The model is calibrated on a database of the Tokyo Institute of Technology. A special attention is paid to the aggregated data of the Japanese manufacturing industry in period 1955-1992. A description of an algorithm of modeling optimal trends in the tec...

We use the new economic geography perspective to explore the impacts of the Internet on the market linkages of two manufacturing and two service IT industries, and the consequential effects on their agglomeration. We study IT industry agglomeration at the county level across the entire United States during 1998-2004. The industries that we study are: computer manufacturing, semiconductors manuf...

This paper develops an artificial neural network (ANN) model to forecast the optimum level of raw materials inventory as a function of product demand, manufacturing lead-time, supplier reliability, material holding cost, and material cost. The model selects a feed-forward back-propagation ANN with twelve hidden neurons as the optimum network. We test the model with pharmaceutical company data. ...

Integrating components and systems of the manufacturing process is an important area of research to enable the future development and deployment of the Smart Manufacturing paradigm. An economic model predictive control (EMPC) scheme is proposed that effectively integrates scheduled preventive control actuator maintenance, process economics, and process control into a unified methodology. To acc...

transformation. Structural transformation is the reallocation of economic activity across the broad sectors of agriculture, manufacturing, and services that accompanies the process of modern economic growth. Long-term evidence from developed countries indicates two stages of structural transformation: labor moves (i) out of agriculture into manufacturing and services and then (ii) out of both a...