TY - GEN
T1 - The state of the art in system dynamics modeling of cost of quality
AU - Elizondo-Noriega, Armando
AU - Güemes-Castorena, David
AU - Tercero-Gómez, Víctor G.
AU - Beruvides, Mario G.
N1 - Publisher Copyright:
© Copyright© (2018) by American Society for Engineering Management (ASEM). All rights reserved.
PY - 2018
Y1 - 2018
N2 - Several studies have been performed to review the state the art in the cost of quality (COQ) literature. These studies have focused on different aspects such as models, adoption, limitations, etc. Few works have been found addressing the COQ simulation procedures. Simulation is a crucial tool to attain preliminary inexpensive results prior to potentially expensive or complex in situ studies. Currently, there are several simulation-based approaches to estimate the COQ. These studies were based on different simulation techniques such as discrete event and linear optimization to mention a few. One simulation technique that seems to be useful to understand the causal relationship between the elements on COQ is system dynamics (SD). SD allows the analyst to observe causal effect relationships and their aggregated structure to answer research questions, improve policy making and observe previously unknown or unobserved behaviors. However, no review has been performed presenting the most suitable or best practices to address theoretical issues in COQ via SD. The current work provides a review of different SD-related works to address this problem aiming to provide a scope for future research on SD simulation of COQ.
AB - Several studies have been performed to review the state the art in the cost of quality (COQ) literature. These studies have focused on different aspects such as models, adoption, limitations, etc. Few works have been found addressing the COQ simulation procedures. Simulation is a crucial tool to attain preliminary inexpensive results prior to potentially expensive or complex in situ studies. Currently, there are several simulation-based approaches to estimate the COQ. These studies were based on different simulation techniques such as discrete event and linear optimization to mention a few. One simulation technique that seems to be useful to understand the causal relationship between the elements on COQ is system dynamics (SD). SD allows the analyst to observe causal effect relationships and their aggregated structure to answer research questions, improve policy making and observe previously unknown or unobserved behaviors. However, no review has been performed presenting the most suitable or best practices to address theoretical issues in COQ via SD. The current work provides a review of different SD-related works to address this problem aiming to provide a scope for future research on SD simulation of COQ.
KW - Economics of quality
KW - Quality costs
KW - Scenario planning
KW - Strategic planning
UR - http://www.scopus.com/inward/record.url?scp=85064345050&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85064345050
T3 - 39th International Annual Conference of the American Society for Engineering Management, ASEM 2018: Bridging the Gap Between Engineering and Business
SP - 505
EP - 514
BT - 39th International Annual Conference of the American Society for Engineering Management, ASEM 2018
PB - American Society for Engineering Management
T2 - 39th International Annual Conference of the American Society for Engineering Management: Bridging the Gap Between Engineering and Business, ASEM 2018
Y2 - 17 October 2018 through 20 October 2018
ER -