Campus Units

Industrial and Manufacturing Systems Engineering

Document Type

Article

Publication Version

Accepted Manuscript

Publication Date

7-18-2019

Journal or Book Title

International Journal of Production Economics

Research Focus Area(s)

Ergonomics and Human Factors

DOI

10.1016/j.ijpe.2019.07.019

Abstract

Controlling variation is an important aspect of quality improvement. Deming distinguishes between common cause variation and special cause variation and argues that both types of variation frequently result from people participating in the process. Confusing common cause and special cause variation can lead to incorrect decisions. This article analyzes the impact of an individual's ability to distinguish between common cause and special cause variation by simulating a manufacturing system with several human operators and a production manager. We use a recognition primed decision (RPD) model to simulate how human operators and the production manager would interpret the variation and make decisions to reduce the variation. A shared mental model with the RPD framework describes the interactions between different operators and the production manager. Results from this simulation demonstrate the importance of distinguishing between common cause and special cause variation, especially when problems occur at bottleneck points in the manufacturing system.

Comments

This is a manuscript of an article published as Lei, Xue, and Cameron MacKenzie. "Distinguishing between common cause variation and special cause variation in a manufacturing system: A simulation of decision making for different types of variation." International Journal of Production Economics (2019). DOI: 10.1016/j.ijpe.2019.07.019. Posted with permission.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Copyright Owner

Elsevier B.V.

Language

en

File Format

application/pdf

Available for download on Monday, July 18, 2022

Published Version

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