Rekonfiguration von Produktionsnetzwerken*/Planning of reconfigurable production networks

2018 ◽  
Vol 108 (03) ◽  
pp. 137-142
Author(s):  
J. Atug ◽  
S. Braunreuther ◽  
G. Reinhart
Keyword(s):  
Production Planning ◽  
Wird Eine ◽  
Production Networks ◽  
Short Term ◽  
Delivery Times ◽  
Future Production ◽  
Planning Approach ◽  
High Adherence ◽  
Demand Volatility ◽  
Increasing Demand

Starke Nachfrageschwankungen insbesondere in der auftragsbezogenen Produktion sowie die Forderung nach kürzeren Lieferzeiten und höherer Termintreue führen zu erhöhten Anforderungen an die zukünftige Produktion. Um diesen Anforderungen gerecht zu werden, bedarf es dynamischer Produktionsnetzwerke. In diesem Fachbeitrag wird eine Methode zur kurzfristigen Anpassung von Produktionsnetzwerken durch Rekonfiguration in der auftragsbezogenen Produktion vorgestellt.   Increasing demand volatility in order-based production as well as the need of shorter delivery times and high adherence to schedules leads to high requirements of the future production. To meet these essential requirements dynamic production networks are needed. In this technical contribution a production planning approach of short-term reconfiguration of production networks in the order-based production is given.

PPS als Integrationsplattform*/PPS as integration platform. Efficient networking of production supporting IT systems

2019 ◽  
Vol 109 (05) ◽  
pp. 377-381
Author(s):  
C. Brecher ◽  
C. Fimmers ◽  
P. Blanke ◽  
S Storms ◽  
W. Herfs
Keyword(s):  
Control System ◽  
Production Planning ◽  
Production Planning And Control ◽  
Integration Platform ◽  
Planning And Control ◽  
Delivery Times ◽  
Kleine Und Mittlere Unternehmen ◽  
It Systems ◽  
And Control

In der heutigen Zeit sind durch steigende Variantenvielfalt und Individualfertigung sowie enge Lieferzeiten unterstützende IT-Systeme in der Fertigung unerlässlich. Gerade für kleine und mittlere Unternehmen (KMU) stellt dies eine Herausforderung dar, weil individuelle Schnittstellenentwicklungen und maschinenspezifische Anbindungen zeit- und kostenintensiv sind. Mit einer Produktionsplanungs- und Steuerungssystem als Integrationsplattform sowie einer allgemeingültige Schnittstelle zur Maschinenanbindung kann dem bestehenden Handlungsbedarf entsprochen werden.   Nowadays, due to the increasing variety of variants and individual production as well as tight delivery times, supporting IT systems are indispensable in production. This poses a particular challenge for SMEs, since individual interface developments and machine-specific connections are time-consuming and costly. These challenges can be met by using a Production Planning and Control system as an integration platform and a generally valid interface to the machine connection.

A Two-Layer Long Short-Term Memory Network for Bottleneck Prediction in Multi-Job Manufacturing Systems

2018 ◽  
Author(s):  
Xingjian Lai ◽  
Huanyi Shui ◽  
Jun Ni
Keyword(s):  
Manufacturing Systems ◽  
Short Term Memory ◽  
Complex Dynamics ◽  
State Of The Art ◽  
Short Term ◽  
Term Memory ◽  
Future Production ◽  
Effective Manner ◽  
Long Short Term Memory ◽  
Factory Floor

Throughput bottlenecks define and constrain the productivity of a production line. Prediction of future bottlenecks provides a great support for decision-making on the factory floor, which can help to foresee and formulate appropriate actions before production to improve the system throughput in a cost-effective manner. Bottleneck prediction remains a challenging task in literature. The difficulty lies in the complex dynamics of manufacturing systems. There are multiple factors collaboratively affecting bottleneck conditions, such as machine performance, machine degradation, line structure, operator skill level, and product release schedules. These factors impact on one another in a nonlinear manner and exhibit long-term temporal dependencies. State-of-the-art research utilizes various assumptions to simplify the modeling by reducing the input dimensionality. As a result, those models cannot accurately reflect complex dynamics of the bottleneck in a manufacturing system. To tackle this problem, this paper will propose a systematic framework to design a two-layer Long Short-Term Memory (LSTM) network tailored to the dynamic bottleneck prediction problem in multi-job manufacturing systems. This neural network based approach takes advantage of historical high dimensional factory floor data to predict system bottlenecks dynamically considering the future production planning inputs. The model is demonstrated with data from an automotive underbody assembly line. The result shows that the proposed method can achieve higher prediction accuracy compared with current state-of-the-art approaches.

scholarly journals A Finite Capacity of Production Planning Approach for Industrial Manufacturing

2013 ◽  
Vol 17 (1) ◽  
pp. 84-88
Author(s):  
Aboubaker Altiaieb Moussttfa ◽  
Dušan Malinžák
Keyword(s):  
Production Planning ◽  
Finite Capacity ◽  
Industrial Manufacturing ◽  
Planning Approach

A New Modeling and Application of Hierarchical Production Planning Approach

2013 ◽  
pp. 113-144
Author(s):  
Reza Tanha Aminlouei
Keyword(s):  
Power Systems ◽  
Production Planning ◽  
Power Plants ◽  
Production Capacity ◽  
Total Load ◽  
Hierarchical Production Planning ◽  
Time Horizons ◽  
Planning Approach ◽  
Utility Cost ◽  
Equal Space

In real power systems, power plants are not in the equal space from the load center, and their fuel cost is different. With common utilization conditions, production capacity is more than total load demand and losses. Therefore, there are different criteria for active and inactive power planning in each power plant. The best selection is to choose a framework in which the utility cost is minimized. On the other hand, planning in power systems has different time horizons; thus, for effective planning in power systems, it is very important to find a suitable mathematical relationship between them. In this chapter, the authors propose a modeling by selecting a Fuzzy Hierarchical Production Planning (FHPP) technique with zone covering in the mid-term and long-term time horizons electricity supply modeling in the Iran global compact network.

Opportunities and costs of intensification and clustering of forest management activities

2008 ◽  
Vol 38 (4) ◽  
pp. 711-720 ◽  
Author(s):  
Anne-Hélène Mathey ◽  
Emina Krcmar ◽  
John Innes ◽  
Ilan Vertinsky
Keyword(s):  
Forest Management ◽  
Boreal Forest ◽  
Timber Harvesting ◽  
Conservation Areas ◽  
Intensive Forest Management ◽  
Trade Offs ◽  
Planning Approach ◽  
Increasing Demand ◽  
Canadian Boreal Forest ◽  
The Cost

The intensification of forest management in Canada has been advocated as a possible solution to the conundrum that increasing demand for conservation areas and increasing pressure for timber production have created. The benefits and disadvantages of intensive forest management in the context of the Canadian boreal forest are unclear and reaching conclusions about its general value from stand analyses may be difficult. In this study, a boreal forest in Ontario has been used to investigate the potential of intensive management to generate financial revenues and meet management constraints on volume flow and old-growth retention. Two aspects of intensive forest management are considered: intensive silviculture and concentrated harvest activities. The plans are generated with a decentralized planning approach based on cellular automata. The results for the case study show that increasing silviculture intensity can help fulfill high timber flow requirements under strict conservation requirements. This comes at the cost of reduced net revenues but from a smaller timber harvesting landbase. The main trade-offs found were those between harvest flow and financial benefits. Clustering both protected areas and harvest operations could help achieve the conservation and timber-related objectives simultaneously by improving the habitat value of conserved areas and decreasing the operational costs in harvested areas.

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