A framework for ICT-enabled real-time production planning and control

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.

Download Full-text

Real-Time IoT-Based Production Planning and Control of Industrial Robots in an Automated Cyber-Physical Production System Under Dynamic Conditions: Lessons Learned from a Make-to-Order Usage Case

Computer Aided Systems Theory – EUROCAST 2019 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-45096-0_59 ◽

2020 ◽

pp. 485-492

Author(s):

Joachim Berlak ◽

Julia Berg ◽

Michael Stangl ◽

Luciano Baumgart

Keyword(s):

Real Time ◽

Production Planning ◽

Production System ◽

Lessons Learned ◽

Industrial Robots ◽

Production Planning And Control ◽

Dynamic Conditions ◽

Planning And Control ◽

Make To Order ◽

And Control

Download Full-text

Real-time capable Production Planning and Control in the Order Management of builtto- order Companies

Enabling Manufacturing Competitiveness and Economic Sustainability ◽

10.1007/978-3-642-23860-4_91 ◽

2011 ◽

pp. 557-562 ◽

Cited By ~ 3

Author(s):

G. Schuh ◽

T. Brosze ◽

S. Kompa ◽

C. Meier

Keyword(s):

Real Time ◽

Production Planning ◽

Production Planning And Control ◽

Planning And Control ◽

Order Management ◽

And Control

Download Full-text

Investigation of the Potential to Use Real-Time Data in Production Planning and Control of Make to Order (MTO) Manufacturing Companies

Implementing Industry 4.0 in SMEs ◽

10.1007/978-3-030-70516-9_5 ◽

2021 ◽

pp. 165-185

Author(s):

Manuel Woschank ◽

Patrick Dallasega ◽

Johannes A. Kapeller

Keyword(s):

Real Time ◽

Production Planning ◽

Production Systems ◽

Lead Times ◽

Production Planning And Control ◽

Time Data ◽

Planning And Control ◽

Make To Order ◽

Real Time Data ◽

And Control

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.

Download Full-text