Detecting assignable cause of growth: The case for nonzero slope causal variation measuremenT

Mario G. Beruvides, Ana Maria Canto

Research output: Contribution to conferencePaper

2 Scopus citations

Abstract

Statistical tools have been widely used to predict industrial process outputs for many years. One such a tool, widely used in manufacturing industries, is the control chart. However, it has been traditionally applied to analyze zero slope (no growth) systems. That is, systems whose performances are not expected to grow over time. This research attempted to address the effectiveness of the control chart framework to analyze, and measure the performance of non-zero slope systems in a manufacturing environment. In order to create a non-zero slope system that is directly related to industrial engineering work, performance in an assembly task was simulated. Growth in the system was defined as the learning curve of an operator assembling a series of products. Two different interventions were simulated to model in control and out of control situations. Learning curves for each participant's manual assembly work were analyzed using control charts. Results and discussions from the control chart detection ability are presented.

Original languageEnglish
Pages199-203
Number of pages5
StatePublished - 2007
Event28th Annual National Conference of the American Society for Engineering Management 2007 - Innovation Management: Innovation in a Flattened World, ASEM 2007 - Chattanooga, TN, United States
Duration: Nov 7 2007Nov 10 2007

Conference

Conference28th Annual National Conference of the American Society for Engineering Management 2007 - Innovation Management: Innovation in a Flattened World, ASEM 2007
CountryUnited States
CityChattanooga, TN
Period11/7/0711/10/07

Keywords

  • Control charts
  • Living systems
  • Non-zero slope growth

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    Beruvides, M. G., & Canto, A. M. (2007). Detecting assignable cause of growth: The case for nonzero slope causal variation measuremenT. 199-203. Paper presented at 28th Annual National Conference of the American Society for Engineering Management 2007 - Innovation Management: Innovation in a Flattened World, ASEM 2007, Chattanooga, TN, United States.