scholarly journals Design and validation of a product-driven control system based on a six sigma methodology and discrete event simulation

2009 ◽  
Vol 20 (6) ◽  
pp. 510-524 ◽  
Author(s):  
H. El Haouzi ◽  
J.-F. Pétin ◽  
A. Thomas
Keyword(s):  
Control System ◽  
Discrete Event Simulation ◽  
Six Sigma ◽  
Discrete Event ◽  
Event Simulation ◽  
Six Sigma Methodology

Implementing lean six sigma and discrete-event simulation for tutoring operations in higher education institutions

2019 ◽  
Vol 10 (4) ◽  
pp. 909-927 ◽  
Author(s):  
Sandra L. Furterer ◽  
Kellie Schneider ◽  
Michael B. Key ◽  
Daniel Zalewski ◽  
Michael Laudenberger
Keyword(s):  
Discrete Event Simulation ◽  
Six Sigma ◽  
Discrete Event ◽  
Wait Time ◽  
Lean Six Sigma ◽  
Content Type ◽  
Event Simulation ◽  
The University ◽  
The Impact ◽  
University Of Dayton

Purpose The purpose of this study is to improve the utilization of walk-in tutors at the University of Dayton. Design/methodology/approach This paper discusses the application of mixed methods participatory action research with the use of the lean six sigma (LSS) define-measure-analyze-improve-control (DMAIC) methodology combined with discrete event simulation to improve the tutoring processes at the University of Dayton. Findings The impact of these improvements provided a great balance between tutor utilization and student wait time, and as a result, an increase in pay was negotiated for tutors. Additionally, two schools within the University, Engineering and Business, have seen the value of the tutoring for their students and have provided additional financial support for tutoring services. Specifically, these schools now have dedicated by-appointment tutors for their students. Originality/value Incorporating simulation within the LSS methodology provides a “prototype” simulation of the potential solutions prior to changing the process in the real world. This approach can minimize the risk of implementing solutions that are costly or ineffective. The improvement of increased tutor pay helped to demonstrate the university’s commitment to tutors and tutoring. Through continuous improvement efforts, the tutoring department has tripled the number of courses that they support through these enhanced relationships, improved utilization and the overall culture and work environment. The LSS methodology and tools combined with discrete event simulation can be used as a guide for improving other repetitive processes within the university.

scholarly journals Using Six Sigma DMAIC Methodology and Discrete Event Simulation to Reduce Patient Discharge Time in King Hussein Cancer Center

2018 ◽  
Vol 2018 ◽  
pp. 1-18 ◽  
Author(s):  
Mazen Arafeh ◽  
Mahmoud A. Barghash ◽  
Nirmin Haddad ◽  
Nadeem Musharbash ◽  
Dana Nashawati ◽  
...  
Keyword(s):  
Discrete Event Simulation ◽  
Six Sigma ◽  
Discrete Event ◽  
Stakeholder Analysis ◽  
Patient Discharge ◽  
Cancer Center ◽  
Hospital Data ◽  
Discharge Time ◽  
Support Tool ◽  
Event Simulation

Short discharge time from hospitals increases both bed availability and patients’ and families’ satisfaction. In this study, the Six Sigma process improvement methodology was applied to reduce patients’ discharge time in a cancer treatment hospital. Data on the duration of all activities, from the physician signing the discharge form to the patient leaving the treatment room, were collected through patient shadowing. These data were analyzed using detailed process maps and cause-and-effect diagrams. Fragmented and unstandardized processes and procedures and a lack of communication among the stakeholders were among the leading causes of long discharge times. Categorizing patients by their needs enabled better design of the discharge processes. Discrete event simulation was utilized as a decision support tool to test the effect of the improvements under different scenarios. Simplified and standardized processes, improved communications, and system-wide management are among the proposed improvements, which reduced patient discharge time by 54% from 216 minutes. Cultivating the necessary ownership through stakeholder analysis is an essential ingredient of sustainable improvement efforts.

scholarly journals Communication mechanism of the discrete event simulation and the mechanical project softwares for manufacturing systems

2018 ◽  
Vol 6 (1) ◽  
pp. 70-80 ◽  
Author(s):  
Quézia Manuela Gonçalves Laurindo ◽  
Túlio Almeida Peixoto ◽  
João José de Assis Rangel
Keyword(s):  
Control System ◽  
System Dynamics ◽  
Open Source ◽  
Discrete Event Simulation ◽  
Open Source Software ◽  
Manufacturing System ◽  
Discrete Event ◽  
Online Communication ◽  
Event Simulation ◽  
Des Model

Abstract This paper presents an integration mechanism for online communication between a discrete event simulation (DES) software and a system dynamics (SD) software. The integration between them allowed executing a hybrid and broader simulation, in which the complexity of the systems and their multi-faceted relationships may demand the combination of different simulation methods and the synergies between the techniques. The Ururau free and open-source software (FOSS) was applied to implement the DES model. In order to build the dynamic model, we used the software for mechanical design called CAD 3D Software Inventor®. Besides, we also employed the DES model in the test step of a control system in real time. The results of that mechanism implementation enabled the evaluation of different aspects of a typical manufacturing system. Furthermore, the integration between the control system and the DES model allowed validating the logic of the programmable logic controller (PLC). Highlights Mechanism for online communication between a discrete event simulation (DES) software and a system dynamics (SD) software. A free and open-source software (FOSS) was applied to implement the DES model. The results of that mechanism implementation enabled the evaluation of different aspects of a typical manufacturing system.

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