Energieautarke Produktion/Energy self-sufficient production - Challenges for an electricity self-supply in production planning and control

2017 ◽  
Vol 107 (03) ◽  
pp. 148-153
Author(s):  
M. Rösch ◽  
C. Schultz ◽  
S. Braunreuther ◽  
G. Prof. Reinhart
Keyword(s):  
Energy Supply ◽  
Energy Sources ◽  
Steady Increase ◽  
Production Planning And Control ◽  
Manufacturing Companies ◽  
Small Power ◽  
Planning And Control ◽  
Power Stations ◽  
And Control ◽  
Internal Consumption

Mit der Umstrukturierung des Stromnetzes im Zuge der Energiewende sind die Strompreise für Industriekunden zuletzt deutlich gestiegen. Gleichzeitig ist eine Kostendegression für Kleinkraftwerke sowie Stromspeicher zu beobachten, die zu einer wachsenden Attraktivität von Stromeigenversorgungen führt. Der Fachbeitrag beleuchtet das Umdenken, das dabei für Produktionsstandorte bei der Energieversorgung und der informationstechnischen Vernetzung aller Erzeuger und Verbraucher erforderlich ist.   Due to the steady increase of renewable and volatile energy sources, industrial customers are faced with rising prices for electricity. At the same time, falling costs for energy storage systems and small power stations, especially photovoltaic, make customer generation and internal consumption more attractive. This paper highlights the changes thus necessary for manufacturing companies with regard to the energy supply and the integration of generators and consumers.

Eine bibliometrische Analyse/PPC and machine learning A bibliometric analysis

2020 ◽  
Vol 110 (04) ◽  
pp. 220-225
Author(s):  
Matthias Schmidt ◽  
Janine Tatjana Maier ◽  
Mark Grothkopp
Keyword(s):  
Machine Learning ◽  
State Of The Art ◽  
Dynamic Environment ◽  
Production Planning And Control ◽  
Manufacturing Companies ◽  
Comprehensive Review ◽  
Planning And Control ◽  
Individual Task ◽  
The Individual ◽  
And Control

Produzierende Unternehmen stehen in einem dynamischen Umfeld vor der Herausforderung eine zunehmende Datenmenge effizienter zu verarbeiten. In diesem Zusammenhang werden häufig Ansätze des maschinellen Lernens (ML) diskutiert. Der Beitrag stellt eine umfassende Aufarbeitung des Stands der Forschung bezogen auf den Einsatz von ML-Ansätzen in der Produktionsplanung und -steuerung (PPS) bereit. Daraus lässt sich der Forschungsbedarf in den einzelnen Aufgabengebieten der PPS ableiten.   In a dynamic environment, manufacturing companies face the challenge of processing an increasing amount of data more efficiently. In this context, approaches of machine learning (ML) are often discussed. This paper provides a comprehensive review of the state of the art regarding the use of ML approaches in production planning and control (PPC). Based on this, the need for research in the individual task areas of PPC can be derived.

scholarly journals Production Planning and Control as Routing in Manufacturing Networks

MENDEL ◽  
2018 ◽  
Vol 24 (2) ◽  
pp. 1-8
Author(s):  
Terje Bach ◽  
Bjørn Jæger ◽  
Arild Hoff
Keyword(s):  
Production Planning ◽  
Network Routing ◽  
Production Planning And Control ◽  
Manufacturing Companies ◽  
Planning And Control ◽  
Manufacturing Networks ◽  
Manufacturing Network ◽  
And Control ◽  
A Company ◽  
Work Centre

In this paper, we explore the use of network routing for production planning and control in manufacturing of complex industrial products. Such a product is the result of a joint effort of many manufacturing companies; each considered a collection of work centre nodes connected by transportation links forming a company-wide manufacturing network. Each company is, in turn considered a manufacturing node connected to other manufacturers by transportation links forming a distributed manufacturing network that produces the final product. We model the manufacturing network as a distribution network where the incoming and outgoing inventories of products are distinct nodes in addition to the work centre nodes. Production planning and control are done by minimizing the cost of handling all products in all work centre nodes. This formulation provides a scalable and flexible production planning and control scheme adhering to the networked structure of manufacturing of complex products. We apply the model to a company-wide manufacturing network as a first approach. A case study using the model demonstrates production planning using network routing at a manufacturer of ship propulsion engines.

Energieorientierte Produktionssteuerung*/Energy-oriented production control

2016 ◽  
Vol 106 (03) ◽  
pp. 152-156
Author(s):  
C. Schultz ◽  
S. Braunreuther ◽  
G. Prof. Reinhart
Keyword(s):  
Energy Consumption ◽  
Production Planning ◽  
Energy Supply ◽  
Energy Demand ◽  
Production Control ◽  
Load Management ◽  
Energy Costs ◽  
Production Planning And Control ◽  
Planning And Control ◽  
And Control

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.

Die PPS für eine energieflexible Fabrik*/Energy-flexible production planning and control

2016 ◽  
Vol 106 (04) ◽  
pp. 193-198
Author(s):  
C. Schultz ◽  
F. Keller ◽  
S. Braunreuther ◽  
G. Prof. Reinhart
Keyword(s):  
Production Planning ◽  
Energy Supply ◽  
Energy Demand ◽  
Power Grid ◽  
Energy Costs ◽  
Flexible Production ◽  
Production Planning And Control ◽  
Planning And Control ◽  
Save Energy ◽  
And Control

Unternehmen, die ihren Energiebedarf gezielt am Energieangebot beziehungsweise den aktuellen Strompreisen ausrichten, können schon heute Energiekosten sparen und zur Stabilisierung der Stromnetze beitragen. Der Fachartikel zeigt auf, welche Datengrundlage ein produzierendes Unternehmen für einen flexiblen Energieeinsatz schaffen muss. Ausgehend von Anforderungen der energieorientierten Produktionsplanung und -steuerung wird dargestellt, wie die Datenerhebung, -auswertung und -nutzung gestaltet werden.   Companies which specifically align their energy demand with energy supply or current prices, can already save energy costs and contribute to the stabilization of the power grid. This article points out which data foundation a manufacturing company needs to create for a flexible use of energy. Based on requirements of energy-oriented production planning and control it is shown how the collection, analysis and use of this data can be organized.

Production Planning Redesign

2011 ◽  
pp. 238-283
Author(s):  
Victor Portougal
Keyword(s):  
Competitive Advantage ◽  
Causal Relationship ◽  
Production Planning ◽  
Efficient Production ◽  
Sales Volume ◽  
Production Planning And Control ◽  
Manufacturing Companies ◽  
Planning And Control ◽  
And Control ◽  
Financial Result

For manufacturing companies, competitive advantage is ultimately measured interms of financial results, and the key financial result is usually a margin of profitfrom sales, which then translates into a margin of return on investment.How then does production planning and control (PPC) have a significantinfluence on this outcome? It is our contention that efficient production planningis one of the three crucial and vital driving factors that enables the otherfunctional areas to be effective. Figure 11.1 displays the driving position of PPCin a causal relationship layout.Efficient PPC has a direct and beneficial influence on both customer satisfac-tion and capacity utilisation. The first leads to greater sales volume, and thesecond to lower costs, both of which have a major impact on profits.

Mobile Applications in Data Acquisition for Production Planning and Control

2018 ◽  
Vol 10 (2) ◽  
pp. 1-14
Author(s):  
Ana Moura ◽  
Daniela Ferreira Tomás ◽  
Leonor Teixeira
Keyword(s):  
Production Planning ◽  
Mobile Applications ◽  
Mobile Application ◽  
Production Costs ◽  
Production Planning And Control ◽  
Manufacturing Companies ◽  
Planning And Control ◽  
And Control ◽  
And Storage ◽  
Business Sectors

The evolution of technologies, coupled with the constant and fast growth of mobile communication network structures, has promoted the development of technological solutions in different business sectors, particularly in manufacturing companies. To help the companies to become and/or remain more competitive, management and production planning requires progressively more prompt and effective decisions, in order to increase the productivity and reduce production costs. This article presents a mobile application, developed for an Android platform that was implemented and tested in a Portuguese company. This application allows the recording and storage of data, with the main objective of supporting the production planning and control. In addition to the development, implementation and testing of the application, a study of the usability impact of the application in the company was also performed. This was done not only by covering the production process optimization, but also as the feasibility of its use by human resources.

ProSense/ProSense - Production control in the context of Industrie 4.0

2015 ◽  
Vol 105 (06) ◽  
pp. 422-426
Author(s):  
C. Reuter ◽  
F. Brambring ◽  
T. Hempel ◽  
F. Schulte ◽  
L. Dambeck
Keyword(s):  
Production Planning ◽  
Production Control ◽  
Industrie 4.0 ◽  
Production Planning And Control ◽  
Manufacturing Companies ◽  
Specific Process ◽  
Planning And Control ◽  
Intelligent Sensors ◽  
Process Chains ◽  
And Control

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.

ProSense*/ProSense – Improving the forecast quality of detailed planning

2016 ◽  
Vol 106 (04) ◽  
pp. 218-223
Author(s):  
C. Reuter ◽  
F. Brambring ◽  
T. Hempel ◽  
A. Gützlaff
Keyword(s):  
Production Control ◽  
Industrie 4.0 ◽  
Production Data ◽  
Production Planning And Control ◽  
Manufacturing Companies ◽  
Eine Analyse ◽  
Planning And Control ◽  
Process Chains ◽  
And Control

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.

Sign in / Sign up

Export Citation Format

Share Document