Intelligent Cyber-Physical Production System Framework for Industry 4.0 Realization

2021 ◽  
pp. 209-248
Author(s):  
Jitin Malhotra ◽  
Sunil Jha
Keyword(s):  
Production System ◽  
Industry 4.0 ◽  
System Framework

scholarly journals MODERNIZATION OF THE TRANSPORT SYSTEM CONTROL OF THE PRODUCTION SYSTEM

2019 ◽  
pp. 141-147
Author(s):  
Patrik Šarga ◽  
Tomáš Záboly
Keyword(s):  
Transport System ◽  
Production System ◽  
Industry 4.0 ◽  
New Technologies ◽  
Production Systems ◽  
Control Program ◽  
Original System ◽  
System Control ◽  
Modular Production ◽  
Education Of Students

Urgency of the research. Nowadays, it is crucial to keep up with modern technologies. Therefore, this work aims to modernize the production system Festo MPS 500. Thanks to this, it will be possible to apply to the system technologies meeting the latest trends in Industry 4.0. The MPS 500 system prepared in this way can be used to research new trends in accordance with Industry 4.0. The modernized MPS 500 system will also find use in the education of students in the field of automation and mechatronics so that they are sufficiently prepared for practice. Target setting. The goal of the research was to modernize the transport system of the modular production system Festo MPS 500 according to Industry 4.0 platform. Actual scientific researches and issues analysis. When upgrading the system MPS 500 and preparing this paper, we took into account both current sources – publications and papers dealing with the current state of Industry 4.0 and modular production systems as well as existing modular production systems based on Industry 4.0 platform. Uninvestigated parts of general matters defining. At this stage of the research, data acquisition from the system MPS 500 and interconnection with the cloud was not realized. The research objective. The purpose of this article is to modernize the MPS 500, which will allow focusing on Industry 4.0 research specifically for the deployment of Cyber-physical systems, Internet of Things, Big Data, Cloud Computing. The statement of basic materials. Effective research of the new technologies in the industry requires to use modern systems which meet the criteria of Industry 4.0 platform. So the original system Festo MTS 500 was upgraded by systems from Siemens. Conclusions. The main aim of this work was to modernize the transport system of the production system MPS 500. Elements of the system management were changed, and a new control program was created in the TIA Portal environment. The functionality of the MPS 500 was subsequently verified, where the full functionality of the system was confirmed. It makes the MPS 500 ready for further expansion in accordance with Industry 4.0.

scholarly journals A Cyberphysical System Based Mass-Customization Approach with Integration of Industry 4.0 and Smart City

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Mehmet Karaköse ◽  
Hasan Yetiş
Keyword(s):  
Waiting Time ◽  
Mass Customization ◽  
Production System ◽  
Smart City ◽  
Industry 4.0 ◽  
New Approach ◽  
Cyberphysical System ◽  
The Given

Smart city is a city which is designed to meet the people’s demands. In addition to use of sources efficiently, trends of people are also a need that smart city should meet. Buying personalized products in a cheap and fast way is a demand of people of today. Mass customization, which is defined as the personalization of products, achieves making the tailor-made products cheaper. In this study, we propose a new approach for mass customization with the integration of smart retail and smart production. With removing the operators and actualizing the progress autonomously, it is aimed to reduce the waiting time of customers. Because less waiting time means that there are more mass-customization customers, and this is expected to increase the popularity of mass customization. Thus, reducing wastes and increasing productivity are aimed. This study also constitutes the infrastructure that enables a production system to autonomously perform all stages from order to delivery. With the given scenarios, challenges and advantages of desired approach are discussed.

scholarly journals The Digital Twin: Realizing the Cyber-Physical Production System for Industry 4.0

Procedia CIRP ◽  
2017 ◽  
Vol 61 ◽  
pp. 335-340 ◽  
Author(s):  
Thomas H.-J. Uhlemann ◽  
Christian Lehmann ◽  
Rolf Steinhilper
Keyword(s):  
Production System ◽  
Industry 4.0 ◽  
Digital Twin

scholarly journals Personalization of the MES System to the Needs of Highly Variable Production

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6484
Author(s):  
Bożena Zwolińska ◽  
Agnieszka Anna Tubis ◽  
Norbert Chamier-Gliszczyński ◽  
Mariusz Kostrzewski
Keyword(s):  
Bayesian Inference ◽  
Production System ◽  
Industry 4.0 ◽  
Production Systems ◽  
Current System ◽  
Business Systems ◽  
Level Of Automation ◽  
Technological Structure ◽  
Mes System ◽  
High Level

The new generation Manufacturing Executions System (MES) is considered as one of the most important solutions supporting the idea of Industry 4.0. This is confirmed by research conducted among companies interested in the implementation of the Industry 4.0 concept, as well as the publications of researchers who study this issue. However, if MES software is a link that connects the world of machines and business systems, it must take into account the specifics of the supported production systems. This is especially true in case of production systems with a high level of automation, which are characterised by flexibility and agility at the operational level. Therefore, personalization of the MES software is proposed for this class of production systems. The aim of the article is to present the MES system personalization method for a selected production system. The proposed approach uses the rules of Bayesian inference and the area of customisation is the technological structure of production, taking into account the required flexibility of the processes. As part of the developed approach, the variability index was proposed as a parameter evaluating the effectiveness of the production system. Then, the results of evaluation of the current system effectiveness by use of this index are presented. The authors also present the assumptions for the developed MES personalization algorithm. The algorithm uses the rules of Bayesian inference, which enable multiple adjustments of the model to the existing environmental conditions without the need to formulate a new description of reality. The application of the presented solution in a real facility allowed for determining production areas which are the determinants of system instability. The implementation of the developed algorithm enabled control of the generated variability in real time. The proposed approach to personalization of MES software for a selected class of production systems is the main novelty of the presented research and contributes to the development of the described area of research.

scholarly journals Selection the Basic Lean Manufacturing Techniques in Developing the Model for Industry 4.0 in Kosovo Manufacturing Industry

Proceedings ◽  
2020 ◽  
Vol 63 (1) ◽  
pp. 62
Author(s):  
Fatmir Azemi ◽  
Roberto Lujić ◽  
Goran Šimunović ◽  
Daniel Tokody
Keyword(s):  
Literature Review ◽  
Production System ◽  
Lean Manufacturing ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Manufacturing Industries ◽  
Manufacturing Enterprises ◽  
Lean Tools ◽  
Manufacturing Techniques ◽  
Selection Of

Recently, there have been done numerous investigations related to lean manufacturing techniques. However, very little has been reported about the implementation and selection of lean manufacturing in the Kosovo manufacturing industry. This article presents the application of lean tools through Kosovo manufacturing industries and the selection of the most useful lean techniques for developing a model for an innovative smart Kosovo enterprise which is our initiative in the process of preparing Kosovo enterprises for the new age of industry—Industry 4.0. After several visits through Kosovo enterprises, the literature review has noticed that there is no investigation in the selection and implementation of lean techniques and tools in Kosovo enterprises. The purpose was to understand how Kosovo manufacturing enterprises use lean techniques and which are the most useful techniques. Analyses have been done based on interviews and questionnaires. Seven basic lean techniques are selected based on the response from the questionnaire and representing basic lean tools for developing a model of a production system regarding Industry 4.0.

scholarly journals Model-Driven Design and Development of Flexible Automated Production Control Configurations for Industry 4.0

2021 ◽  
Vol 11 (5) ◽  
pp. 2319
Author(s):  
Unai Gangoiti ◽  
Alejandro López ◽  
Aintzane Armentia ◽  
Elisabet Estévez ◽  
Marga Marcos
Keyword(s):  
Control System ◽  
Production System ◽  
Industry 4.0 ◽  
Production Control ◽  
Production Systems ◽  
Normal Operation ◽  
Functional Requirements ◽  
Multi Agent Systems ◽  
Design And Development ◽  
Automation Systems

The continuous changes of the market and customer demands have forced modern automation systems to provide stricter Quality of service (QoS) requirements. This work is centered in automation production system flexibility, understood as the ability to shift from one controller configuration to a different one, in the most quick and cost-effective way, without disrupting its normal operation. In the manufacturing field, this allows to deal with non-functional requirements such as assuring control system availability or workload balancing, even in the case of failure of a machine, components, network or controllers. Concretely, this work focuses on flexible applications at production level, using Programmable Logic Controllers (PLCs) as primary controllers. The reconfiguration of the control system is not always possible as it depends on the process state. Thus, an analysis of the system state is necessary to make a decision. In this sense, architectures based on industrial Multi Agent Systems (MAS) have been used to provide this support at runtime. Additionally, the introduction of these mechanisms makes the design and the implementation of the control system more complex. This work aims at supporting the design and development of such flexible automation production systems, through the proposed model-based framework. The framework consists of a set of tools that, based on models, automate the generation of control code extensions that add flexibility to the automation production system, according to industry 4.0 paradigm.

scholarly journals A novel throughput control algorithm for semi-heterarchical industry 4.0 architecture

2021 ◽  
Author(s):  
Silvestro Vespoli ◽  
Guido Guizzi ◽  
Elisa Gebennini ◽  
Andrea Grassi
Keyword(s):  
Production System ◽  
Industry 4.0 ◽  
Control Algorithm ◽  
Radical Change ◽  
Control Law ◽  
Primary Control ◽  
Response Strategies ◽  
Additional Control ◽  
Production Concept ◽  
Control Lever

AbstractModern market scenarios are imposing a radical change in the production concept, driving companies’ attention to customer satisfaction through increased product customization and quick response strategies to maintain competitiveness. At the same time, the growing development of Industry 4.0 technologies made possible the creation of new manufacturing paradigms in which an increased level of autonomy is one of the key concepts to consider. Taking the advantage from the recent development around the semi-heterarchical architecture, this work proposes a first model for the throughput control of a production system managed by such an architecture. A cascade control algorithm is proposed considering work-in-progress (WIP) as the primary control lever for achieving a specific throughput target. It is composed of an optimal control law based on an analytical model of the considered production system, and of a secondary proportional-integral-derivative controller capable of performing an additional control action that addresses the error raised by the theoretical model’s. The proposed throughput control algorithm has been tested in different simulated scenarios, and the results showed that the combination of the control actions made it possible to have continuous adjustment of the WIP of the controlled production system, maintaining it at the minimum value required to achieve the requested throughput with nearly zero errors.

scholarly journals Using RFID to identify smart products on a blockchain enabled production network

2021 ◽  
Vol 15 (1) ◽  
pp. 1-7
Author(s):  
Sándor Csikós ◽  
György Czifra ◽  
József Sárosi
Keyword(s):  
Production System ◽  
Industry 4.0 ◽  
Distributed Database ◽  
Production Network ◽  
Blockchain Technology ◽  
Current State ◽  
Distributed Ledger ◽  
Distributed Ledger Technology ◽  
Smart Products ◽  
New Challenges

Industry 4.0 requires the cooperation of several technologies. The intersections of these technologies present us with new challenges. One of these challenges is identification, since we have to identify all the items that are on the network that do work and those that are worked upon. If we fail to identify one of these items the network is presented with an unidentified potentially malicious device or a misidentified product which can cause production to halt. Blockchains or otherwise known as Distributed Ledger Technology, DLT for short is a technology that builds upon the current bookkeeping paradigm and expands it in a decentralized direction. This however can be used in more than just banking since it is essentially a distributed database that has memory of past events not just the current state. By using a blockchain based distributed database to hold processing details and using RFID-s as keys to certain entries in the database it is possible to build a tamper proof production system that can handle the challenges of industry 4.0. It may also be possible to use blockchain technology as a form of digital paper trail that can be used to validate messages sent to the nodes of the system.

scholarly journals Manufacturing operational management modeling using interpreted Petri nets

2020 ◽  
Vol 27 (2) ◽  
Author(s):  
Diego Nogueira Guirro ◽  
Osvaldo Luis Asato ◽  
Givanildo Alves dos Santos ◽  
Francisco Yastami Nakamoto
Keyword(s):  
Petri Nets ◽  
Enterprise Resource Planning ◽  
Production System ◽  
Lean Manufacturing ◽  
Industry 4.0 ◽  
Production Systems ◽  
Resource Planning ◽  
Complex Nature ◽  
Manufacturing Execution Systems ◽  
Level 3

Abstract: The dynamics of the interaction between different levels in production system is the study of many research groups to seek a better understanding of the complex nature of such systems to propose an effective and efficiency from rational use of available resources and required inputs. Demand for products increasingly customized by a dynamic and competitive market has reduced considerably the life cycle of such products and flexibility of production processes has become essential for companies. Flexibility is not only one attribute, but a set of attributes that provides the flexibility for production systems. The interactions between the flexible sub-systems are sources of waste and rework, causing high costs in the production process. In this sense, the concept of Lean Manufacturing has promoted a restructuring of some processes of the MES (Manufacturing Execution Systems), responsible for managing the activities of production, integrate data from the ERP (Enterprise Resource Planning) and synchronize production tasks the flow of materials, making them oriented by the demand. One other important aspect in the industrial context is the new future vision promoted by Industry 4.0 paradigm that is envisioned a complete decentralization of control of the production system by autonomous and intelligent devices interconnected by a communication system, that contribute to the global goals of the enterprise. The ANSI/ISA S95 presents a conceptual model that may contribute to the implementation of the industry 4.0 concept. The objective of this study is to present a proposal for modeling of objects in level 3 of the S95 standard using interpreted Petri nets.

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