TY - GEN
T1 - Monitoring dynamic systems
T2 - International Annual Conference of the American Society for Engineering Management 2013, ASEM 2013
AU - Guadalupe, Leonidas J.
AU - Tercero-Gómez, Víctor G.
AU - Cordero-Franco, Alvaro E.
AU - Beruvides, Mario G.
PY - 2013
Y1 - 2013
N2 - Engineering Managers do not have an adequate tool for monitoring the progression of a living system. Most living systems undergo Non-zero slope behavior, which makes it difficult to discern special cause from common causes of variation. The features of the Self-Starting CUSUM chart provide a fertile base for the development of a tool that addresses this issue. This research paper proposes a modification to the estimators of the Self-Starting CUSUM chart to develop a tool for engineering managers who are interested in monitoring increasing and decreasing trends in systems. A historical account of the logical developments leading to this idea is presented. Then a subsequent explanation of the model is detailed. Finally, a discussion of possible impact areas and conclusions about the feasibility, and applicability of the methodology, concludes this work. The efforts of this paper intend to help engineering managers gain more predictive power over living systems.
AB - Engineering Managers do not have an adequate tool for monitoring the progression of a living system. Most living systems undergo Non-zero slope behavior, which makes it difficult to discern special cause from common causes of variation. The features of the Self-Starting CUSUM chart provide a fertile base for the development of a tool that addresses this issue. This research paper proposes a modification to the estimators of the Self-Starting CUSUM chart to develop a tool for engineering managers who are interested in monitoring increasing and decreasing trends in systems. A historical account of the logical developments leading to this idea is presented. Then a subsequent explanation of the model is detailed. Finally, a discussion of possible impact areas and conclusions about the feasibility, and applicability of the methodology, concludes this work. The efforts of this paper intend to help engineering managers gain more predictive power over living systems.
KW - Dynamic behavior
KW - Linear profile monitoring
KW - Non-zero slope
KW - Self-starting CUSUM
UR - http://www.scopus.com/inward/record.url?scp=84903289407&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84903289407
SN - 9781632660541
T3 - International Annual Conference of the American Society for Engineering Management 2013, ASEM 2013
SP - 224
EP - 230
BT - International Annual Conference of the American Society for Engineering Management 2013, ASEM 2013
PB - American Society for Engineering Management
Y2 - 3 October 2013 through 5 October 2013
ER -