scholarly journals The Integration of Human Factors into Discrete Event Simulation and Technology Acceptance in Engineering Design

2021 ◽  
Author(s):  
Petrit Dode
Keyword(s):  
Human Factors ◽  
Technology Acceptance ◽  
Discrete Event Simulation ◽  
New Technology ◽  
Discrete Event ◽  
Value Added ◽  
Learning Curves ◽  
Event Simulation ◽  
Initial Cost ◽  
Human Factors Modeling

This action research thesis aimed to: 1) develop and test a viable Discrete Event Simulation and Human Factors Modeling approach for an Ontario based telecommunication company, and 2) identify the factors that affect the uptake and application of the approach in work system design. This approach, which was validated at the Company, incorporated fatigue dose and learning curves in a Discrete Event Simulation model. The barriers to uptake included: Time constraints, lack of technological knowledge and initial cost. The uptake facilitators were: High frequency products produced, clear value added to leadership, defects reduction and the Company being open to new technology. In addition to helping design a manual assembly line with fewer bottlenecks and reduce the human factors risks for the employee, the developed approach showed a 26% correlation with quality defects. Further research is recommended to identify additional human factors and their benefits.

scholarly journals The Integration of Human Factors into Discrete Event Simulation and Technology Acceptance in Engineering Design

2021 ◽  
Author(s):  
Petrit Dode
Keyword(s):  
Human Factors ◽  
Technology Acceptance ◽  
Discrete Event Simulation ◽  
New Technology ◽  
Discrete Event ◽  
Value Added ◽  
Learning Curves ◽  
Event Simulation ◽  
Initial Cost ◽  
Human Factors Modeling

This action research thesis aimed to: 1) develop and test a viable Discrete Event Simulation and Human Factors Modeling approach for an Ontario based telecommunication company, and 2) identify the factors that affect the uptake and application of the approach in work system design. This approach, which was validated at the Company, incorporated fatigue dose and learning curves in a Discrete Event Simulation model. The barriers to uptake included: Time constraints, lack of technological knowledge and initial cost. The uptake facilitators were: High frequency products produced, clear value added to leadership, defects reduction and the Company being open to new technology. In addition to helping design a manual assembly line with fewer bottlenecks and reduce the human factors risks for the employee, the developed approach showed a 26% correlation with quality defects. Further research is recommended to identify additional human factors and their benefits.

scholarly journals Human factors in an automotive discrete event simulation model

2017 ◽  
Vol 39 (5) ◽  
pp. 615
Author(s):  
Rafael De Carvalho Miranda ◽  
Cibele Nogueira Paiva ◽  
José Arnaldo Barra Montevechi ◽  
Tábata Fernades Pereira
Keyword(s):  
Human Factors ◽  
Simulation Model ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Event Simulation ◽  
Discrete Event Simulation Model

scholarly journals VALIDATION OF ACD GAME 3D USING A TECHNOLOGY ACCEPTANCE MODEL (TAM)

2020 ◽  
Vol 1 (1) ◽  
pp. 44-60
Author(s):  
Rafael Buback Teixeira ◽  
Luiz Henrique Lima Faria ◽  
Jonas Paluci Barbosa ◽  
Fábio Firme da Costa
Keyword(s):  
Technology Acceptance ◽  
Discrete Event Simulation ◽  
Technology Acceptance Model ◽  
System Modeling ◽  
Discrete Event ◽  
Activity Cycle ◽  
Phase Method ◽  
Event Simulation ◽  
Acceptance Model ◽  
Teaching Learning

In the discrete event simulation discipline, the student learns that the conceptual aspects of a system modeling to be simulated are essential for the success of a simulation project. As one of the initial steps, understanding simulation elements and their relationships, through simulation mechanics, allows a better absorption of abstract concepts related to simulation modeling and facilitates this understanding. The Three Phase Method, with representation based on the Activity Cycle Diagram (ACD), consists of a discrete event simulation mechanic, easy to assimilate. Thus, we present The ACD GAME 3D, a serious digital game with the objective of exploring cognitive aspects of discrete event simulation learning, based on the Three Phases Method, in a virtual board format. We analyze the validity of the game with the Technology Acceptance Model (TAM). We observed that the students involved present considerable intention of using the game, being analyzed the behavior in the use, something explained, mainly, by the Perceived Utility. Thus, the game is useful for potentiating the studies according to the results found. In addition, the study demonstrated the potential in developing serious games to leverage the teaching-learning process.

Discrete-Event Simulation Software for Modeling Flexibility-Driven Manufacturing Processes

2015 ◽  
Author(s):  
Nadia Galaske ◽  
Erdal Tantik ◽  
Reiner Anderl
Keyword(s):  
Modeling And Simulation ◽  
Discrete Event Simulation ◽  
Production Systems ◽  
Discrete Event ◽  
Value Added ◽  
Life Cycles ◽  
Simulation Software ◽  
Manufacturing Processes ◽  
Material Flows ◽  
Event Simulation

In times of globalized markets and rapidly advancing technologies, companies are demanded to produce highly individualized products in shorter life cycles. This requires a certain flexibility in production processes, which, in turn, leads to a higher process complexity. In order to face these challenges, companies need to rely increasingly on the application of software tools for modeling and simulation of production systems. One of the most commonly used tools in the field of digital production planning and control is the discrete-event simulation (DES). A discrete-event simulation software allows production planners to create digital models of production systems and simulate process and material flows. It can be used not only to improve the design of production systems in the early stage of planning, but also to analyze changes in the system’s behavior during operative processes. In this paper, an event-based modeling and simulation software for flexibility-driven manufacturing processes in value-added process chains is developed. The software presented in this paper is aimed particularly at small and medium enterprises (SMEs) with low degree of automation and high product variety. The goal of this approach is to enable the modeling and simulation of manufacturing systems where the required manufacturing operations depend on production workers and vary with each production order. Using the approach described in this paper, a high variety of manufacturing process sequences in a flexible manufacturing system with different layouts, where material flows, worker paths, and part routings are not determined in fixed order, can be modeled, analyzed, and optimized.

scholarly journals The VR Factory: Discrete Event Simulation Implemented in a Virtual Environment

1998 ◽  
Author(s):  
Jason J. Kelsick ◽  
Judy M. Vance
Keyword(s):  
Virtual Reality ◽  
Virtual Environment ◽  
Discrete Event Simulation ◽  
New Technology ◽  
Discrete Event ◽  
Three Dimensional ◽  
Manufacturing Cell ◽  
Event Simulation ◽  
Three Dimensional Representation ◽  
Design And Manufacturing

Abstract Virtual reality (VR) refers to an immersive, interactive, multi-sensory, viewer-centered, three-dimensional (3D) computer generated environment and the combination of technologies required to build such an environment (Cruz-Neira, 1993). Related to problems of engineering design and manufacturing, this new technology offers engineers the ability to work with computer models in a three-dimensional, immersive environment. This paper describes a virtual reality application where the results of a discrete event simulation of a manufacturing cell are integrated with a virtual model of the cell to produce a virtual environment. The program described in this paper, the VR Factory, allows the user to investigate how various changes to the manufacturing cell affect part production. This investigation is performed while immersed in a computer generated three-dimensional representation of the cell. This paper describes the creation of the VR model of the manufacturing cell, the animation of the environment and the implementation of the results of the discrete event simulation.

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