Semester
Fall
Date of Graduation
1999
Document Type
Thesis
Degree Type
MS
College
Statler College of Engineering and Mineral Resources
Department
Industrial and Managements Systems Engineering
Committee Chair
B. Gopalakrishnan.
Abstract
Small and medium-sized manufacturing plants (those with fewer than 500 employees) represent more than 98 percent of the more than 374,000 establishments in the U.S. manufacturing industry, 64 percent of employees in the total manufacturing labor force, and more than 42 percent of total manufacturing energy consumption.;In 1976 the federal government started funding industrial energy audits for small and medium sized manufacturing firms under the auspices of the Industrial Assessment Centers (IAC) that are spread throughout the U.S. The data collected from the hundreds of energy audits that are conducted each year is collected in a database maintained by the Office of Industrial Productivity and Energy Assessment (OIPEA) at Rutgers University.;This database contains a wealth of information about small and medium scale industries that are spread throughout the U.S. The objective of this research it to develop a database querying tool to analyze the database to elicit useful information about waste and productivity issues to help research any trends that may exist in the data.
Recommended Citation
Ipe, Jaison John, "Data mining OIPEA database for waste and productivity enhancements in manufacturing units" (1999). Graduate Theses, Dissertations, and Problem Reports. 988.
https://researchrepository.wvu.edu/etd/988