A1 Journal article (refereed), original research

Introduction to cause-effect chain analysis plus with an application in solving manufacturing problems


Open Access publication

Publication Details
Authors: Lee Min Gyu, Chechurin Leonid, Lenyashin Vassili
Publisher: Springer Verlag (Germany)
Publication year: 2018
Language: English
Related Journal or Series Information: International Journal of Advanced Manufacturing Technology
Volume number: 99
Issue number: 9-12
Start page: 2159
End page: 2169
Number of pages: 11
ISSN: 0268-3768
eISSN: 1433-3015
JUFO-Level of this publication: 1
Open Access: Open Access publication

Abstract

Root-cause analysis (RCA) is useful in solving inventive problems in any
area including manufacturing. It often plays the central role because
the root causes revealed can directly imply directions for solutions.
This study introduces a new RCA method called cause-effect chain
analysis plus (CECA+), improved from the existing method, cause-effect
chain analysis (CECA). CECA+ uses a single diagram built and updated in
seven steps to manage all the main information of a problem solving
process in a systematic and intuitive way. The seven steps are problem
definition (1), building and verifying cause-effect chains (2, 3),
building and verifying solving direction chains (4, 5), and building and
verifying idea chains (6, 7). Based on the theory of solving inventive
problems (TRIZ), it can help users to reveal hidden, overlapping or
contradictory causes and to generate comprehensive solving directions
semi-automatically. It also greatly improved the drawing convenience and
readability by using a versatile free diagramming software and a set of
intuitive and systematic drawing conventions. CECA+ has been used
successfully in many problem solving projects. Application to solving a
real problem in manufacturing process was described with tips for using.


Last updated on 2019-22-03 at 10:20