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Research Papers

Supporting Vehicle Option Change Management Through a Graph-Based Visualization Tool

[+] Author and Article Information
Keith Phelan

Research Assistant
Department of Mechanical Engineering,
Clemson University,
134 EIB,
Clemson, SC 29634-0921
e-mail: ktphela@g.clemson.edu

Brian Pearce

Research Assistant
Department of Industrial Engineering,
Clemson University,
104A Freeman Hall,
Clemson, SC 29634
e-mail: bpearce@g.clemson.edu

Joshua Summers

Professor
Department of Mechanical Engineering,
Clemson University,
EIB 203,
Clemson, SC 29634-0921
e-mail: jsummer@clemson.edu

Mary Beth Kurz

Associate Professor
Department of Industrial Engineering,
Clemson University,
104A Freeman Hall,
Clemson, SC 29634
e-mail: mkurz@clemson.edu

Contributed by the Computers and Information Division of ASME for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received October 7, 2015; final manuscript received August 4, 2016; published online November 7, 2016. Editor: Bahram Ravani.

J. Comput. Inf. Sci. Eng 17(1), 011004 (Nov 07, 2016) (15 pages) Paper No: JCISE-15-1320; doi: 10.1115/1.4034472 History: Received October 07, 2015; Revised August 04, 2016

When implementing configuration management methods, the amount of data required can be problematic when validating changes to the database. This is especially true for rule-based configuration management techniques. This paper presents a graph visualization tool to assist in validating changes to the rule database. The development and implementation of the tool is presented, along with the execution and results of two user studies designed to test specific aspects of the support tool. The paper then presents how the visualization tool was implemented for four ongoing configuration changes at the original equipment manufacturer (OEM) to prove the effectiveness of the tool in assisting in validating configurations changes.

Copyright © 2017 by ASME
Topics: Visualization
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Figures

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Fig. 1

Example of a visualization graph (provided to groups 1 and 7)

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Fig. 2

Modified 100 mm confidence scale

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Fig. 3

Graph of the correctness for each question based on availability of information

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Fig. 4

Graph of the correctness for each question based on color-coding

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Fig. 5

Graph for the correctness of each question based on layout

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Fig. 6

Graph of the correctness for each question based on order

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Fig. 7

Example graph node input file

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Fig. 8

Example graph edge input file

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Fig. 9

Rule and corresponding graph for an inclusive, binary relationship

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Fig. 10

Rule and corresponding graph for an exclusive, binary relationship

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Fig. 11

Rule and corresponding graph for a relationship requiring an OR node

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Fig. 12

Rule and corresponding graph for a relationship with an AND node

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Fig. 13

Another rule and corresponding graph for a relationship with an AND node

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Fig. 14

Graph visualization for a specific change

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Fig. 15

Rule system graph provided to the experimental groups

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Fig. 16

Percent correct responses for change 1

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Fig. 17

Percent correct responses for change 2

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Fig. 18

Percent correct responses for change 3

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Fig. 19

Visualization graph for windshield option change (case 1)

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Fig. 20

Visualization graph for existing model

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Fig. 21

Visualization graph for replacement model

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Fig. 22

Existing model graph with the Australian country option already available

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Fig. 23

Graph of the model to which the country option will be added

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