An event-driven manufacturing information system architecture for Industry 4.0

Theorin, Alfred; Bengtsson, Kristofer; Provost, Julien; Lieder, Michael; Johnsson, Charlotta; Lundholm, Thomas; Lennartson, Bengt

doi:10.1080/00207543.2016.1201604

Cited by 298 publications

(148 citation statements)

References 36 publications

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“…The Line Information System Architecture (LISA), proposed by Theorin et al [11], is an event-driven architecture featuring loose coupling and a prototype-oriented information model. LISA puts special focus on integration of devices and services on all levels (R1), reducing effort of hardware changes and delivering valuable aggregated information in the form of KPIs.…”

Section: State-of-the-art Of Industrie 40 System Architecturesmentioning

confidence: 99%

“…[8][9][10] The new architecture thus has to be able to operate without interfering with the mode of operation of existing systems. Moreover, integration of tools and machines has to be possible regardless of their technology or capabilities [11][12][13]. A support for various sources can be achieved by defining interfaces, which have to be implemented by data adapters, transferring specific protocols and data formats into a common one.…”

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confidence: 99%

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Concept and Implementation of a Software Architecture for Unifying Data Transfer in Automated Production Systems

Trunzer

Lötzerich

Vogel‐Heuser

2018

Technologien Für Die Intelligente Automation

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The integration of smart devices into the production process results in the emergence of cyber-physical production systems (CPPSs) that are a key part of Industrie 4.0. Various sensors, actuators, Programmable Logic Controllers (PLCs), Manufacturing Execution Systems (MES) and Enterprise Resource Planning (ERP) systems produce huge amounts of data and meta data that can hardly be handled by conventional analytic methods. The main goal of this work is to develop an innovative architecture for handling big data from various heterogeneous sources within an automated production system (aPS). Moreover, enabling data analysis to gain a better understanding of the whole process, spotting possible defects in advance and increasing the overall equipment effectiveness (OEE), is in focus. This new architecture vertically connects the production lines to the analysts by using a generic data format for dealing with various types of data. The presented model is applied prototypically to a lab-scale production unit. Based on a message broker, the presented prototype is able to process messages from different sources, using e.g. OPC UA and MQTT protocols, storing them in a database and providing them for live-analysis. Furthermore, data can be anonymized, depending on granted access rights, and can be provided to external analyzers. The prototypical implementation of the architecture is able to operate in a heterogeneous environment supporting many platforms. The prototype is stress tested with different workloads showing hardly any response in the form of longer delivery times. Thus, feasibility of the architecture and its suitability for industrial, near real-time applications can be shown on a labscale.

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Section: State-of-the-art Of Industrie 40 System Architecturesmentioning

confidence: 99%

mentioning

confidence: 99%

Concept and Implementation of a Software Architecture for Unifying Data Transfer in Automated Production Systems

Trunzer

Lötzerich

Vogel‐Heuser

2018

Technologien Für Die Intelligente Automation

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“…These three elements of Industry 4.0 (CPS, the interoperability and a smart city) have a significant role in production and services. It should be mentioned that Industry 4.0 has a major role in boosting the manufacturing process of various industries (Gentner, 2016;Theorin et al, 2017;Zheng et al, 2018;Alaeddin et al, 2018;Ślusarczyk, 2018;Muzekenyi et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Fourth industrial revolution: a way forward to attain better performance in the textile industry

Ślusarczyk

Haseeb

Hussain

2019

Engineering Management in Production and Services

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A B S T R A C TThe textile industry is one of the fastest growing industries which expressively contributes to the economic growth of Malaysia. However, in recent years, the situation has changed and demonstrates a downward trend. The imports are growing faster compared to the exports, consequently resulting in a low contribution to the gross domestic product (GDP). To address the issue, this study aims to investigate the role of Industry 4.0 on the performance of firms engaged in the production and services of the Malaysian textile industry. To achieve the objective, this study adopted a cross-sectional research design. A survey was carried out to collect data from employees of textile firms. Results of the study found that Industry 4.0 positively contributed to the effectiveness of the production and services of the textile industry. Production and services have a positive role in the performance of textile firms. The current study provides an interesting insight into the future direction of research for studies on organisational performance, which can be extended to different manufacturing-based industries. In addition, it provides the rationale for the adoption and implementation of smart technologies in these industries. It has been found that cyber-physical systems (CPS), interoperability, a smart city and a smart product have a positive effect on production and services. Additionally, it is not possible without the effective implementation of technology. Thus, the current study provides valuable insights into the improvement of the textile industry's performance. K E Y W O R D S Industry 4.0, firm performance, cyber-physical systems, interoperability, smart product; smart city

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“…During the first years, algorithms to handle product and automation system interaction (Bengtsson et al, 2009), and to visualize complex operation sequences using multiple projections , was developed. Over the years, other use cases have been integrated, like formal verification and synthesis using Supremica (Bergagård and Fabian, 2012), restart support , cycle time optimization (Sundström et al, 2012), energy optimization and hybrid systems (Riazi et al, 2016), online monitoring and control (Theorin et al, 2016), as well as emergency department online planning support . SP is developed as a micro service architecture, where various services interact with each other by sending messages.…”

Section: Sequence Plannermentioning

confidence: 99%

Sequence Planner: Supporting Integrated Virtual Preparation and Commissioning

et al. 2017

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Abstract:It is essential to understand the operation sequences of a production system when designing or changing it. This paper will demonstrate how the software tool Sequence Planner (SP) not only supports this understanding by sequence visualization, but also improves the solution using optimization and verification. SP is a tool for modeling and analyzing automation systems. The tool has been developed since 2007 with an initial focus on supporting engineers when developing control code for programmable logical controllers. Today, SP is a microservice architecture, usable in various areas like runtime control, online monitoring, energy optimization, and even emergency department patient planning. This paper presents a use case at an automotive company, where the operation sequences in a large number of automated robot stations, need to be modified. SP, together with virtual commissioning tools, automates this modification by identifying, optimizing, verifying and simulating operation sequences, and then updates the robot and control programs. This use case demonstrates the strength of SP and its architecture and how it is used for integrated virtual preparation and commissioning.

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An event-driven manufacturing information system architecture for Industry 4.0

Cited by 298 publications

References 36 publications

Concept and Implementation of a Software Architecture for Unifying Data Transfer in Automated Production Systems

Concept and Implementation of a Software Architecture for Unifying Data Transfer in Automated Production Systems

Fourth industrial revolution: a way forward to attain better performance in the textile industry

Sequence Planner: Supporting Integrated Virtual Preparation and Commissioning

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