FlexSim in Academe: Teaching and Research

Pawlewski, Paweł; Hoffa-Dąbrowska, Patrycja; Golińska-Dawson, Paulina; Werner-Lewandowska, Karolina

doi:10.1007/978-3-030-04519-7

Cited by 4 publications

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“…At the early design stage of the manufacturing system, there is a problem of how to determine the real difference in work efficiency between a human and a robot. The aim of the study, which is a continuation of our previous works [3][4][5] is to develop a methodology, which allows to clearly define the productivity growth associated with the replacement of human labour by industrial robots.…”

Section: Introductionmentioning

confidence: 99%

“…Sci. 2019, 9, x FOR PEER REVIEW 2 of 14 continuation of our previous works [3][4][5] is to develop a methodology, which allows to clearly define the productivity growth associated with the replacement of human labour by industrial robots. Modern manufacturing systems are very complex and difficult to analyse, therefore many methods are used (including mathematical modelling, combinatorial optimization, Petri nets, and scenario analysis) for solving the above mentioned problem [6].…”

Section: Introductionmentioning

confidence: 99%

“…It includes: an analysis of the real problem, conceptual design and synthesis of a simulation model, simulation experiments to obtain a solution and implementation of the solution to solve the real problem. The main phases of proposed methodology [5] In order to assess the effectiveness of the robot application, we compare production uptime of humans and robots and calculate work efficiency with the use of selected metrics (OEE-overall equipment effectiveness, OFE-overall factory efficiency), which show how well a manufacturing operation is utilized. Next, we use computer simulation in FlexSim for verification of these two models.…”

Section: Introductionmentioning

confidence: 99%

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Efficiency Analysis of Manufacturing Line with Industrial Robots and Human Operators

2020

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The problem of production flow and evaluation of productivity in the manufacturing line is analysed. Machines can be operated by humans or by robots. Since breakdowns and human factors affect the destabilization of the production processes, robots are preferred. The main problem is a proper methodology—how can we determine the real difference in work efficiency between human and robot at the design stage? Therefore, an analysis of the productivity and reliability of the machining line operated by human operators or industrial robots is presented. Some design variants and simulation models in FlexSim have been developed, taking into consideration the availability and reliability of the machines, operators and robots. Traditional productivity metrics, such as the throughput and utilization rate, are not very helpful for identifying the underlying problems and opportunities for productivity improvement in a manufacturing system, therefore we apply the OEE (overall equipment effectiveness) metric to present how the availability and reliability parameters influence the performance of the workstation, in the short and long terms. The implementation results of a real robotic line from industry are presented with the use of the overall factory efficiency (OFE) metric. The analysis may help factories achieve the level of world class manufacturing.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Efficiency Analysis of Manufacturing Line with Industrial Robots and Human Operators

2020

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Improving the Training Methods for Designers of Flexible Production Cells in Factories of the Future

Mironescu

Crăciunean

Florea

et al. 2020

IFIP Advances in Information and Communication Technology

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This work proposes a design method for flexible manufacturing systems (FMS). The method reduces the learning curve by helping employees to solve problems related to the design and optimization of the layout, operation and control of FMS, avoiding the drawbacks of current tools. The approach uses Domain Specific Modeling Languages (DSML) for specification of FMS. The paper presents the definition of the DSML and the implementation of the graphical modeling and simulation tool bringing important contributions to development of the domain through the use of constructions from categories theory for DSML specifications. This mathematical basis allows the definition of constraints to avoid supplementary costs and eventual damages through incorrect or incomplete specification of the solutions. By interconnecting with ADOxx of the DSML and tool developed, facilitates access to other analysis and simulation tools like Bee-up, Petri net, better exploration of the design space and extended support for the design activity.

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A Framework Integrating Discrete Event Simulation and Data Envelopment Analysis for Performance Evaluation of Resource Configurations in Discrete Systems

Khalid,

Nawawi,

Ramli

et al. 2024

Preprint

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FlexSim in Academe: Teaching and Research

Cited by 4 publications

References 0 publications

Efficiency Analysis of Manufacturing Line with Industrial Robots and Human Operators

Efficiency Analysis of Manufacturing Line with Industrial Robots and Human Operators

Improving the Training Methods for Designers of Flexible Production Cells in Factories of the Future

A Framework Integrating Discrete Event Simulation and Data Envelopment Analysis for Performance Evaluation of Resource Configurations in Discrete Systems

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