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West Virginia University

Data mining OIPEA database for waste and productivity enhancements in manufacturing units

Abstract

dc:description.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.

Degree

thesis:*
Name thesis:degree_name
MS
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Industrial and Managements Systems Engineering
Year dc:date.available
1999

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ipe, Jaison John
Contributors dc:contributor
  • B. Gopalakrishnan.

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:researchrepository.wvu.edu:etd-1991

Chain of custody

source
Harvested from
West Virginia University
Base URL
researchrepository.wvu.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Ipe, Jaison John. Data mining OIPEA database for waste and productivity enhancements in manufacturing units. Thesis thesis, 1999. https://doi.org/10.33915/etd.988