Development of a system dynamics model based on Six Sigma methodology

Ortega, José Jovani Cardiel; Serrato, Roberto Baeza; Morales, Rocío Alfonsina Lizárraga

doi:10.15446/ing.investig.v37n1.62270

Cited by 18 publications

(17 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…• Flow variables:These are elements that can be defined as temporary functions. It can be said that they collect the actions resulting from decisions made in the system, determining the variations in levels [22], as well as the variables births, deaths, migration, emigration, hiring, and firing.…”

Section: Forrester Diagram Designmentioning

confidence: 99%

Study of Post-COVID-19 Employability in Peru through a Dynamic Model, Between 2020 and 2025

Arias-Marreros¹,

Dionisio²,

Tuanama³

et al. 2021

IJACSA

View full text Add to dashboard Cite

The research work is focused on the sector of the population that will have a job, taking into account that the pandemic was a problem that resulted in many people losing their jobs due to the economic crisis that affected all countries because the first half of the year 2020 the equivalent of 400 million full-time jobs were lost and there was a 14% drop in working hours worldwide, also in Lima 1.2 million people were left without work. For this reason, a dynamic analysis was developed for the projection of post-COVID19 employability in Peru from 2020 to 2025 to obtain an approximate knowledge of the population's labor outlook, implementing system dynamics as a methodology since it includes this recommendation, given that any model built through its application will be based on the opinion of those involved in the system to be represented. In this work, system dynamics is presented as a very useful methodology for the analysis of complex problems, developing the Forrester and causal diagram with the help of Vensim software. As a result, the approximate number of jobs that will be available was visualized, and it was observed that the future of employability will be at risk, which is why a good government strategy is necessary so that this does not happen since people need to satisfy their professional, economic and development needs.

show abstract

Section: Forrester Diagram Designmentioning

confidence: 99%

Study of Post-COVID-19 Employability in Peru through a Dynamic Model, Between 2020 and 2025

Arias-Marreros¹,

Dionisio²,

Tuanama³

et al. 2021

IJACSA

View full text Add to dashboard Cite

show abstract

“…Lagos, Mancilla, Leal, and Fox (2019) assessed the performance of a solution to the problem of assigning service squads by incorporating the variability of service times. Cardiel, Baeza-Serrato, and Lizárraga (2017) proposed a dynamic model to analyze the complexity associated with manufacturing systems and improve the performance of the process through the Six Sigma philosophy. Langroodi and Amiri (2016) used a system dynamics approach to design a five-level supply chain consisting of retailer, final product distributor, manufacturer, material distributor, and supplier in four different regions.…”

Section: Literature Reviewmentioning

confidence: 99%

A Novel Dynamic and Fuzzy Value Stream Mapping (DFVSM): System Dynamics and Fuzzy Logic Integration

Serrato

2021

Ing. Inv.

Self Cite

View full text Add to dashboard Cite

Value stream mapping (VSM) is a method to identify waste and activities that do not add value. One of its main disadvantages is that the parameters used in the process and material flows are deterministic. The motivation of this research is to improve the reliability of the estimation of the lead time in VSM, transitioning from a static model to a dynamic model that incorporates uncertainty and imprecision in the data, as well as to develop a novel dynamic and fuzzy value stream mapping (DFVSM) based on integrating system dynamics and fuzzy logic. One of the main contributions of this research is to develop a fuzzy system in the same system dynamics interface that incorporates uncertainty and vagueness to the efficiency and effectiveness percentage variable (OEE%) to increase the reliability of the delivery time planning. The stages of DFVSM are explicitly described and applied to real data for a textile company in southern Guanajuato. A sensitivity analysis of the proposed model was integrated which identifies the critical factors for the delivery of the order, and achievable times were proposed for the delivery times of the supplier and the client, thus reducing the expected delivery time by 28%. One of the relevant conclusions of this work is that, to plan the lead time of an order, the uncertainty of the main parameters such as supplier and customer shipping times be considered to satisfy the customer.

show abstract

“…Some of these tools are the Causal Loop Diagram (CLD) (Binder et al , 2004), that helps understand causal relationships between variables, delays and feedback loop effects in a qualitative manner (Sterman, 2001), along with Group Model Building, which is an approach that helps in generating a mental model consensus among many stakeholders and subject matter experts (Bérard, 2010). Perhaps the most comprehensive work on the integration of Six Sigma and SD is that of Cardiel-Ortega et al (2017) that suggest that although SD is an obscure methodology, it can be seen as a unique tool in Six Sigma community in that it can help tackle problems that elude other methods.…”

Section: Literature Review Analysismentioning

confidence: 99%

“…Although the literature is limited on the usability of simulations in the define and measure phases, in this work, the authors note that Six Sigma can be integrated with SD as a support tool to complement existing tools to complete the loop of knowledge. SD provides a set of tools that can help the Six Sigma professional during the define phase (Cardiel-Ortega et al , 2017). One of these tools is called Group Model Building, which is used to generate a mental model alignment among all the stakeholders and subject matter experts of the organization (Bérard, 2010).…”

Section: Literature Review Analysismentioning

confidence: 99%

Enhancing Six Sigma methodology using simulation techniques

Ahmed

Page

Olsen

2020

IJLSS

View full text Add to dashboard Cite

Purpose In recent times, the idea of taking advantage of the benefits of simulation techniques and Six Sigma discipline altogether has led various organizations towards implementation of simulation tools within Six Sigma methodology. The purpose of this study is to provide a more comprehensive literature review on the topic exploring how this amalgamation could work both in theory and practice. This precisely entailed finding dependable studies that shows how Six Sigma (DMAIC) Methodology can be enhanced by the three prevalent simulation techniques; Agent-Based (AB), Discrete-Events (DE), System Dynamics (SD). Design/methodology/approach A systematic literature review was considered more fitting in research because it involves rigorous and well-defined approach compared to other forms of literature review. In this case, the literature was comprehensive, well-encompassing and involved finding Six Sigma and Simulations literatures from reputable scholarly databases. The outcome of these reviews was the identification of a set of key finding compiled and classified by topics. The study follows an inductive approach and utilises a meta-synthesis review technique. Findings As numerous studies assert, simulation techniques including AB, DE and SD are applicable tools in almost every stage of DMAIC, especially the Analyse, Improve and Control phases, because of their capability to test and identify potential bottlenecks and improvement areas. Findings show that the simulation tools such as CLDs, Group Model Building, Dynamic Balance Scorecards and Cost of poor quality all have the potential to add value to a Six Sigma methodology. Originality/value The findings of this study highlight the importance of further inquiry in this area of study. The finding of this study suggests that although the study on the integration of Six Sigma and simulations is increasing, empirical evidence on its effectiveness is still limited. Therefore, this study suggests more roadmaps and investigations aimed at merging Six Sigma methodology and various simulation technique. Moreover, studies that centre on hybrid or multi-method simulations within Six Sigma are also urgently necessitated.

show abstract

Development of a system dynamics model based on Six Sigma methodology

Cited by 18 publications

References 7 publications

Study of Post-COVID-19 Employability in Peru through a Dynamic Model, Between 2020 and 2025

Study of Post-COVID-19 Employability in Peru through a Dynamic Model, Between 2020 and 2025

A Novel Dynamic and Fuzzy Value Stream Mapping (DFVSM): System Dynamics and Fuzzy Logic Integration

Enhancing Six Sigma methodology using simulation techniques

Contact Info

Product

Resources

About