A model for plant digitalisation, simulation and improvement: A case study in the automotive tier one supplier

Cortés, Daniel; Ramírez, José; Villagómez, Luis E.; Batres, Rafael; Molina, Arturo; Velilla, Ailin; Lozano, Gerardo; González, Emilio J.; Puente, Jaime; Esparza, German; Cruz, Nancy

doi:10.1109/ice.2019.8792664

Cited by 3 publications

(3 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The model presented in this paper collects information from different entities using Sensory, Intelligent and Sustainable (S3) features to digitize the manufacturing plant and improve the decision-making process. It targets the entire manufacturing process as an opportunity to improve the company's business model practices, taking into account operations infrastructure, workers, and information and material flows [9].…”

Section: Table I Number Of Hits Of Abstract In Scopus [Source: Own Ed...mentioning

confidence: 99%

Innovative Industry 4.0 Application Possibilities for Roller Conveyor Design

Szentesi¹,

Péter²,

Jimenez³

2022

ALS

View full text Add to dashboard Cite

As a result of constantly changing customer demands, it becomes necessary to review the material flow systems operated by companies from time to time. The purpose of this is usually to minimize material flow losses and/or to ensure the necessary transport capacities. Revisions can affect intermittent and continuous operating material flow systems, and the combination of these. The thesis examines the areas where roller conveyor systems are used. Such systems are typically found in the food industry and the vehicle industry. The development of the 4th industrial revolution, its most important tools, and their applicability in the design and operation of roller conveyor systems will be presented. The article outlines a number of new research areas that may be of corporate interest.

show abstract

Section: Table I Number Of Hits Of Abstract In Scopus [Source: Own Ed...mentioning

confidence: 99%

Innovative Industry 4.0 Application Possibilities for Roller Conveyor Design

Szentesi¹,

Péter²,

Jimenez³

2022

ALS

View full text Add to dashboard Cite

show abstract

“…Marques et al (2017) analyzed the barriers to industrial digitization and proposed several strategic, tactical, operational, and real-time approaches to assist in decision-making. Cortés et al (2019) developed a representative model of a digital manufacturing plant based on the concepts of S^3 Enterprises and the company's normal behavior for decision-making. The model contemplated all processes and their impact.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

An enterprise model on Sensing, Smart, and Sustainable (S

2020

View full text Add to dashboard Cite

Organizations are being highly pressured to increase their competitiveness in order to deal with dynamic and turbulent markets. The development of an intelligent manufacturing system has been identified as an effective way to increase the competitiveness of enterprises. Traditional companies need models, skills, processes, and technologies to face the challenges imposed by today´s highly competitive markets, which require constant innovation. Sensing, Smart, and Sustainable (S^3) Enterprises play an important role in the digitization of strategies, decisions, and operations. They become efficient in facing the challenges intrinsic to the digital economy and intelligent manufacturing by applying the concepts of detection and monitoring, intelligence, and sustainability. The extant literature indicates the need for the development of methods and enterprise models that portray the reality of S^3 Enterprises. This paper presents an enterprise model to facilitate the formalization of S^3 Enterprises and help understand the dynamics of their operations. Applying the For Enterprise Modeling (4EM) method, this proposed enterprise model documents the goals, business rules, processes, and concepts of S^3 Enterprises. The contribution of this paper is the identification of guiding principles that allow companies interested in applying the S^3 concepts to have a basic reference mapped through perspectives of different knowledge domains.

show abstract

“…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%

Utilization of computer simulation for optimization of furniture production system

Bambura

Sujová

Čierna

2020

BioRes

View full text Add to dashboard Cite

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.

show abstract

A model for plant digitalisation, simulation and improvement: A case study in the automotive tier one supplier

Cited by 3 publications

References 27 publications

Innovative Industry 4.0 Application Possibilities for Roller Conveyor Design

Innovative Industry 4.0 Application Possibilities for Roller Conveyor Design

An enterprise model on Sensing, Smart, and Sustainable (S

Utilization of computer simulation for optimization of furniture production system

Contact Info

Product

Resources

About