Digitale Produktion und intelligente Steuerung/Digital Production and Intelligent Production Control – Integrating digital and real-world production for adaptive and automated control

2020 ◽  
Vol 110 (04) ◽  
pp. 255-260
Author(s):  
Marvin Carl May ◽  
Andreas Kuhnle ◽  
Gisela Lanza

Im Rahmen der stufenweisen Umsetzung von Industrie 4.0 erreicht die Vernetzung und Digitalisierung die gesamte Produktion. Den physischen Produktionsprozess nicht nur cyber-physisch zu begleiten, sondern durch eine virtuelle, digitale Kopie zu erfassen und zu optimieren, stellt ein enormes Potenzial für die Produktionssystemplanung und -steuerung dar. Zudem erlauben digitale Modelle die Anwendung intelligenter Produktionssteuerungsverfahren und leisten damit einen Beitrag zur Verbreitung optimierender adaptiver Systeme.   In the wake of implementing Industrie 4.0 both integration and digitalization affect the entire production. Physical production systems offer enormous potential for production planning and control through virtual, digital copies and their optimization, well beyond purely cyber-physical production system extensions. Furthermore, digital models enable the application of intelligent production control and hence contribute to the dissemination of adaptively optimizing systems.

2020 ◽  
Vol 11 (5) ◽  
pp. 1551
Author(s):  
José Henrique de Andrade ◽  
Francisco Andrea Simões Braga ◽  
Luciano Campanini ◽  
Josadak Astorino Marçola ◽  
Bruna Carvalho Nunes Rocha

The growing need for efficiency and effectiveness in production systems management has increased the importance of processes and activities related to Production Planning and Control (PPC). Several authors point out that the more dynamic, competitive market, with higher demands from consumers and the increasing insertion of technology to support decision making, make the need for robust management processes imperative. In line with this scenario, the present work aims to present the report of a process of implementation, use and the consequences of a production pointing system. To achieve the proposed objective, a literature review was conducted on the topics of interest and a case study in a company that manufactures hospital medical products in the interior of São Paulo state. As main results, it was observed that the adoption and evolution of a production pointing system generated significant gains for the company's Production Control and increased maturity in terms of Production Management, but required significant efforts and investments to maintain and evolve the production deploying process.


2015 ◽  
Vol 105 (06) ◽  
pp. 422-426
Author(s):  
C. Reuter ◽  
F. Brambring ◽  
T. Hempel ◽  
F. Schulte ◽  
L. Dambeck

Immer kundenindividuellere Prozessketten sowie eine gleichzeitig steigende Marktdynamik stellen Unternehmen und insbesondere die Produktionssteuerung vor große Herausforderungen. Das Forschungsprojekt ProSense erarbeitet Lösungen für eine Produktionssteuerung in Zeiten von Industrie 4.0. Auf Basis kybernetischer Unterstützungssysteme und intelligenter Sensorik soll der Entscheider optimal bei Planung und Steuerung der Produktion unterstützt werden.   Customer-specific process chains and increasingly dynamic market conditions pose a major challenge for manufacturing companies and especially their production planning and control processes. The research project ProSense develops solutions for a production control in the context of Industrie 4.0. Building on cybernetic support systems and intelligent sensors, the employees can be optimally supported in decisions concerning production planning and control.


2016 ◽  
Vol 106 (04) ◽  
pp. 218-223
Author(s):  
C. Reuter ◽  
F. Brambring ◽  
T. Hempel ◽  
A. Gützlaff

Immer kundenindividuellere Prozessketten sowie eine gleichzeitig steigende Marktdynamik stellen Unternehmen und insbesondere die Produktionssteuerung vor große Herausforderungen. Das Forschungsprojekt ProSense erarbeitet Lösungen für eine Produktionssteuerung in Zeiten von Industrie 4.0. Durch eine Analyse der Abweichungen zwischen Plan- und Ist-Daten wird die Verbesserung der Planungsgüte in der Produktion erreicht.   Customer-specific process chains and increasingly dynamic market conditions pose a major challenge for manufacturing companies and especially their production planning and control processes. The research project ProSense develops solutions for a production control in the context of Industrie 4.0. An analysis of the variance between planned and actual production data improves the planning quality.


2015 ◽  
Vol 105 (04) ◽  
pp. 204-208
Author(s):  
D. Kreimeier ◽  
E. Müller ◽  
F. Morlock ◽  
D. Jentsch ◽  
H. Unger ◽  
...  

Kurzfristige sowie ungeplante Änderungen – wie Auftragsschwankungen, Maschinenausfälle oder Krankheitstage der Mitarbeiter – beeinflussen die Produktionsplanung und -steuerung (PPS) von Industriefirmen. Trends wie Globalisierung und erhöhter Marktdruck verstärken diese Probleme. Zur Komplexitätsbewältigung bei der Entscheidungsfindung zur Fertigungssteuerung kommen in der Produktion Werkzeuge der „Digitalen Fabrik“, beispielsweise Simulationsprogramme, oder IT (Informationstechnologie)-Lösungen, wie Manufacturing Execution Systems (MES), zum Einsatz. Eine Verknüpfung dieser Bereiche würde einen echtzeitfähigen Datenaustausch erlauben, der wiederum eine echtzeitfähige Entscheidungsunterstützung bietet. Der Fachbeitrag stellt hierfür einen Lösungsansatz vor.   Sudden and unsystematic changes, such as fluctuations in order flow, machine failures, or employee sick days affect the Production Planning and Control (PPC) activities of industrial companies. Trends like globalization and increased market pressure intensify these problems. To master the complexity of decision-making in production control, tools of the digital factory (e.g. simulation systems) or IT systems (e.g. Manufacturing Execution Systems (MES)) are applied in manufacturing. Combining these areas would enable real-time capable data exchange which, in turn, provides real-time capable decision support. This article presents an approach for solving this problem.


2021 ◽  
Vol 6 (2) ◽  
pp. 019-027
Author(s):  
Afriansyah Afriansyah ◽  
Amrifan Saladin Mohruni

Manufacturing can be defined as applying physical and/or chemical processes to modify the structure, properties, and appearance of a given starting material to produce parts or products. Manufacturing often entails combining multiple elements for the creation of assembled products. This study aimed to establish a general understanding of development production planning and control and typical products such as just in time and lean production. Method of this study through literature review. This study described activities related to production planning and production control, the difference between lean production and traditional production (push system), and the structure of lean production as known as Toyota system manufacturing.


2020 ◽  
Vol 12 (9) ◽  
pp. 3791 ◽  
Author(s):  
Olumide Emmanuel Oluyisola ◽  
Fabio Sgarbossa ◽  
Jan Ola Strandhagen

Many companies are struggling to manage their production systems due to increasing market uncertainty. While emerging ‘smart’ technologies such as the internet of things, machine learning, and cloud computing have been touted as having the potential to transform production management, the realities of their adoption and use have been much more challenging than anticipated. In this paper, we explore these challenges and present a conceptual model, a use-case matrix and a product–process framework for a smart production planning and control (smart PPC) system and illustrate the use of these artefacts through four case companies. The presented model adopts an incremental approach that companies with limited resources could employ in improving their PPC process in the context of industry 4.0 and sustainability. The results reveal that while make-to-order companies are more likely to derive greater benefits from a smart product strategy, make-to-stock companies are more likely to derive the most benefit from pursuing a smart process strategy, and consequently a smart PPC solution.


2021 ◽  
Vol 27 (2) ◽  
pp. 100-107
Author(s):  
Radosław Wolniak

Abstract The theoretical aim of the paper is to analyses the main function and concept of production control in operation management. The empirical aim of the paper is to investigate polish production firm opinion about factors affecting production planning and control and also functions of production planning and control. Production control is very important in every factory, and every aspect of operation and production management especially in times of Industry 4.0 conditions. In the paper we presented all classical seven task of production management control. Also there is in the paper an analysis of main factors affecting production control in industrial organization. In the paper we analysed the problems connected with production control. Nowadays in the conditions of Industry 4.0 this is very important concept because the increasing level of digitalization of all industrial processes leads to possibility of detailed analysis of all processes and better level of control. Operation managers should have good level of knowledge about production control and especially quality control. They can use in this many new information tools like statistical methods and artificial intelligence. Especially we think that in the future many function of production control would be assisted by artificial intelligence. We also in the paper give results of research conducted on example of 30 polish production organizations located in Silesia region.


2021 ◽  
pp. 165-185
Author(s):  
Manuel Woschank ◽  
Patrick Dallasega ◽  
Johannes A. Kapeller

AbstractThe integrated planning and control of logistics processes can be seen as one of the basic prerequisites for the successful implementation of smart production systems and smart and lean supply chains, as well. Therefore, modern Industry 4.0 approaches are mainly focusing on (1) the principles of decentralization and (2) the usage of real-time data to improve the overall logistics performance in terms of promised delivery dates, work in progress, capacity utilization, and lead-times. In this context, this chapter systematically evaluates the application of decentralized production planning and control strategies, e.g., KANBAN and CONWIP, in comparison with traditional approaches, like MRP. Moreover, the impact of real-time data usage in production planning and control systems on lead-times and work in progress is investigated using a discrete event simulation based on primary data from a make to order manufacturer. The results of this industrial case study research confirm the significant potential that lies in smart production systems and smart and lean supply chains and, therefore, in the introduction of Industry 4.0 technologies and technological concepts in production and logistics systems.


2018 ◽  
Vol 108 (03) ◽  
pp. 148-154
Author(s):  
G. Höllthaler ◽  
C. Richter ◽  
M. Hörmann ◽  
A. Zipfel ◽  
J. Fischer ◽  
...  

Mit zunehmender Komplexität in Produktionssystemen, die sich auch aus der steigenden Variantenvielfalt ergibt, sind Entscheider im Produktionsumfeld mit immer komplexeren Fragestellungen konfrontiert. Zur Entscheidungsunterstützung stellt dieser Beitrag ein simulationsbasiertes Assistenzsystem vor. Neben einer allgemeinen Beschreibung des Aufbaus des Assistenzsystems wird im Detail der integrierte Materialflussservice betrachtet, der zur Beantwortung von Fragen rund um die Produktionsplanung und -steuerung zum Einsatz kommt.   An increasing complexity in production systems resulting, for example, from a growing number of variants, gives rise to more complex issues which stakeholders in the production area have to cope with. To support these stakeholders, this paper introduces a novel simulation-based assistant system. In addition to the general description of the assistant system’s setup, a detailed presentation of the integrated material flow service is given. This service deals with issues of production planning and control.


2016 ◽  
Vol 106 (03) ◽  
pp. 152-156
Author(s):  
C. Schultz ◽  
S. Braunreuther ◽  
G. Prof. Reinhart

Angesichts steigender Energiekosten sowie eines zunehmenden Bewusstseins für nachhaltige Produktion ist es heute erforderlich, Zielvorgaben für den Energieverbrauch in der Produktionsplanung und -steuerung zu verankern sowie umzusetzen. Aus diesem Grund präsentiert dieser Artikel ein Verfahren für eine energieorientierte Produktionssteuerung, die auf der Basis von Energieflexibilität und Lastmanagement den Energiebedarf der Produktion mit einem begrenzten Energieangebot synchronisiert.   Due to rising energy costs and a growing awareness for sustainable production, it is now necessary for companies to establish targets for energy consumption in production planning and control. Therefore, this article illustrates a method for energy-oriented production control on the basis of flexibility and load management which synchronizes the energy demand in manufacturing with a limited energy supply.


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