Operation Research Methodologies in Industrial Engineering: A Survey

The results are presented of a survey taken among members of the Operations Research Division of the American Institute of Industrial Engineers. The survey concerned the perceived utility and familiarity with 12 operations research methodologies commonly utilized in the practice of industrial engine...

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Bibliographic Details
Published in:IIE transactions 1980-12, Vol.12 (4), p.364
Main Authors: Shannon, Robert E, Long, S Scott, Buckles, Billy P
Format: Article
Language:English
Subjects:
Applications
Decision trees
Game theory
Industrial engineering
Integer programming
Linear programming
Management science
Methods
Operations research
Polls & surveys
Research methodology
Utility
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Summary:The results are presented of a survey taken among members of the Operations Research Division of the American Institute of Industrial Engineers. The survey concerned the perceived utility and familiarity with 12 operations research methodologies commonly utilized in the practice of industrial engineering. These methodologies included linear programming, simulation, network analysis, queueing theory, decision trees, dynamic programming, etc. A modification to the method of majority rule for weighting the opinions of respondents, based on their degree of familiarity or expertise, is also reported. Findings include: 1. Simulation and linear programming are by far the most widely used and are considered to have the greatest utility. 2. Game theory was in last place in all 3 categories of familiarity, utility, and interest. 3. The biggest disagreements among survey respondents were over integer programming, decision trees, and queueing theory. Respondents were from government, academia, and industry.
ISSN:2472-5854
2472-5862