Discrete Event Simulation as a Support in the Decision Making to Improve Product and Process in the Automotive Industry - A Fuel Pump Component Case Study

Villagómez, Luis E.; Cortés, Daniel; Ramírez, José; Álvarez, Ana; Batres, Rafael; Reyes, Ivann; Esparza, German; Cruz, Nancy; Molina, Arturo

doi:10.1007/978-3-030-28464-0_50

Cited by 4 publications

(4 citation statements)

References 25 publications

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“…In the broader literature (Bangsow 2012;Andrejszki et al 2015;Neradilova and Fedorko 2017;CeitGroup 2020), the creation of simulation models is the first step towards comprehensive automation and computerization of the Industry 4.0 concepts. Automotive companies are predominantly focused on the implementation of the Fourth Industrial Revolution, which has been mentioned in the literature (Bambura et al 2019;Cortes et al 2019;Villagomez et al 2019;Sujova et al 2020). The implementation of Industry 4.0 is also essential for the development of furniture manufacturers and for the woodworking industry in general.…”

Section: Resultsmentioning

confidence: 99%

“…The automotive sector is mainly focused on the simulation of manufacturing processes and the implementation of Industry 4.0 principles into production (Bambura et al 2019;Cortés et al 2019;Villagomez et al 2019;Sujova et al 2020). However, simulation is also a viable optimization method for the furniture manufacturing and woodworking industries (Kosturiak and Gregor 1999;Klein and Thomas 2006;Carlson and Yao 2008;Kljajic 2008a, 2008b;Ali and Zulkifli 2017;Rahman et al 2018).…”

Section: Introductionmentioning

confidence: 99%

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Utilization of computer simulation for optimization of furniture production system

Bambura

Sujová

Čierna

2020

BioRes

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Computer simulation methods are currently used to simulate production processes and optimize production systems. Computer simulation is one of the most effective tools for implementation of Industry 4.0 principles in industrial practice. This research focused on the optimization of production processes in furniture production using simulation, which is an innovative method of production optimization for furniture manufacturers. The aim of this research was to improve the production system of Slovak furniture manufacturing enterprise by creating a discrete event simulation model of production based on the analysis of its current state. Improvement indicators are specific parameters of the production system, which primarily include material flow, productivity, and workload utilization. First, with the use of Tecnomatix Plant Simulation software and the collected real production data, the original production system processes were simulated and analyzed. Second, the incorporation of more powerful devices was proposed to improve the production line. Third, the proposed improvements were simulated and analyzed. The result of this research was a statistical comparison of the parameters of the current production line and the proposed production improvements.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Utilization of computer simulation for optimization of furniture production system

Bambura

Sujová

Čierna

2020

BioRes

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“…So, focusing on DES as CN support for SME-OIL, it is possible to define as one of the useful tools in the CN to represent the real processes in a digital model [23], designing, analyzing and evaluating multiple scenarios and multi-criteria in the decision-making. DES efficiency has been proved by different case studies, [24][25][26][27][28][29]. Nevertheless, the efficiency of DES depends highly on the availability, quantity and quality of information introduced to the models.…”

Section: Discrete Event Simulationmentioning

confidence: 99%

Analysis of Productivity and Profitability of a SME Through Collaborative Networks Using Discrete Event Simulation Tool: An Automotive Case Study

Martínez

Cortés

Ramírez

et al. 2020

IFIP Advances in Information and Communication Technology

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Most companies seek sustainability and competitive advantage for optimal problem solving and value creation. Medium-sized companies that account for more than 90% of the world´s total companies with a low research & development, tend to search for alternatives within the private and educational sector that allow them to increase their productivity without having to compromise their competitive activity in their sector. Collaboration with external actors represents an opportunity for organizations as it broadens their development of the productive system and their organizational behaviour. This interaction is known as Open Innovation. This concept has dismantled the traditional organizational archetype enabling universities to link the academy's work into the industrial sector. One-part of the academy, in collaboration with them, is the use of emerging technologies and digital tools that lead into a decision-making efficient process incorporating industry 4.0. A useful technology for this purpose is Discrete Event Simulation, a tool for system analysis, characterized by modifying variables without compromising the current productivity of the company. This document explains through a case study, the use of simulation in an enterprise of the automotive sector through the tool, in the lamination process of production line. The contribution of this paper is generating alternatives for the decision-making process in a real scenario, using the tool to achieve results in collaboration within the industry sector. The analysis shows the improvement, analyzing the productivity and choices, that increase in the profitability of the enterprise.

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“…In their literature review, [4] identify the main features of the discrete event simulation (DES) that can contribute to the fulfilment of the industry 4.0 agenda, namely automated data exchange, automatic model generation and visualization. On the other hand, as pointed put by [5], industry 4.0 introduces many new modeling demands for DES technology to be able to assess the impact of advanced features, identify areas of risk before implementation, evaluate the performance of alternatives, predict performance to custom criteria, standardize data, systems, and processes, establish a knowledgebase, and aid communication. The use of DES to improve manufacturing performance is widespread (e.g.…”

Section: Simulation In the Industry 40 Eramentioning

confidence: 99%

A Simulation Model Supporting the Production Optimization for High-Precision Machines Assembly

Monti¹,

Corti²,

Pietraroia³

2020

IFIP Advances in Information and Communication Technology

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Simulation has a pivotal role in the Industry 4.0 revolution as a tool to support the decision-making process in the production system. In this paper the model developed for an assembly line of EDM machines is presented and its use to improve the production management approach is described. In particular, simulation has been used to identify a better approach for the dispatching of new job to the line, to optimize the scheduling plan and to develop a training plan for the operators. Obtained results are promising and a further development of the model is foreseen.

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Discrete Event Simulation as a Support in the Decision Making to Improve Product and Process in the Automotive Industry - A Fuel Pump Component Case Study

Cited by 4 publications

References 25 publications

Utilization of computer simulation for optimization of furniture production system

Utilization of computer simulation for optimization of furniture production system

Analysis of Productivity and Profitability of a SME Through Collaborative Networks Using Discrete Event Simulation Tool: An Automotive Case Study

A Simulation Model Supporting the Production Optimization for High-Precision Machines Assembly

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