Abstract/Details

Expert and novice performance in an industrial engineering scaled -world simulation


2003 2003

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Abstract (summary)

Expert and novice problem solving has been a subject of research for many years. Problem solving of textbook problems and case studies in various domains such as math, physics, chess, music, system design, medical diagnosis, and business sub-domains have been the norm as the subject of this type of research. Few if any research efforts have undertaken the study of real world problem solving that occurs over an extended time such as those solved by industrial engineers in a manufacturing setting. This research studies the expert and novice problem solving performance in a scaled-world simulation of a manufacturing company experiencing a high backlog of customer orders. Research time consists of eight hours of problem solving behavior for teams of two as they diagnose the problem and make decisions to meet the problem goal. Participants can advance simulation time forward for weeks to get feedback on their decisions. The seven research hypotheses are: (1) experts will generate a better outcome for the primary problem goal in the test situation in the given time period than novices; (2) experts will make more correct decisions in solving the problem in the test situation than novices; (3) experts will understand the system dynamics of the problem in the test situation better than novices; (4) experts will search for data and situation information better than novices in solving the problem in the test situation; (5) experts will recognize and use data and situation information better than novices in solving the problem in the test situation; (6) experts will use more domain knowledge than novices in solving the problem in the test situation; and, (7) experts will use a forward or top-down problem solving method and novices will use a backward or bottom-up problem solving method. The experimental results support all seven research hypotheses. Discussion ensues about the unexpected results such as fixation on scheduling. The conclusions are that the research simulation discriminates between novice and expert performance which indicates its potential for measuring levels of industrial engineering expertise. Suggestions for future research with the scaled-world simulation and its use in the classroom are given.

Indexing (details)


Subject
Curricula;
Teaching;
Industrial engineering;
Cognitive therapy;
Occupational psychology
Classification
0727: Curricula
0727: Teaching
0546: Industrial engineering
0633: Cognitive therapy
0624: Occupational psychology
Identifier / keyword
Education; Psychology; Applied sciences; Industrial engineering; Problem-solving; Scaled-world simulation; Virtual worlds
Title
Expert and novice performance in an industrial engineering scaled -world simulation
Author
Elson, John L., II
Number of pages
242
Publication year
2003
Degree date
2003
School code
0168
Source
DAI-A 64/10, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
Advisor
Mount-Campbell, Clark
University/institution
The Ohio State University
University location
United States -- Ohio
Degree
Ph.D.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
3109124
ProQuest document ID
305303658
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/305303658/fulltextPDF
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