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Integrating logistic capabilities and employment level into distributed manufacturing systems along global supply chains

Integrating logistic capabilities and employment level into distributed manufacturing systems along global supply chains
将物流能力和就业水平整合到全球供应链上的分布式制造系统中
批准号:
139120360
负责人:
Professor Dr.-Ing. Bernd Scholz-Reiter
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2009
资助国家:
德国
项目状态:
已结题
起止时间:
2008-12-31 至 2014-12-31

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中文摘要
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英文摘要
In present manufacturing systems, information concerning logistic capabilities and employment level are not appropriately utilised to determine most effective production plans. Therefore, cost and leadtime savings obtained with new global manufacturing strategies might be impaired due to the unbalanced, unsynchronised and unstable integration of production and logistic flows. The research focuses on improving informational interfaces between distributed manufacturing and logistic systems along global supply chains. Within the framework of project LogGlobal five Brazilian research subprojects on complementary topics of production and logistics integration will be pursued, namely: dynamic approach to cargo transport and logistics distribution; integrative framework for monitoring logistic and production capabilities and technologies; analysis of the interrelation between technology and efficiency in the logistics industry; proposition of a transport transaction system between exporting manufacturers and off-shore carriers; and, investigation of inter-organisational relationships and managing policies in supply networks. Together, the German and Brazilian research subprojects will contribute to the development of concepts and technologies that support a balanced integration of manufacturing and logistics.
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A planning method for the integrated production and outbound distribution scheduling problem
Methoden zur Kopplung von zentraler Planung und autonomer Steuerung in der Fertigung
Development and Evaluation of Forecasting Methods for Production Planning and Control by Considering Prediction Models of Nonlinear Dynamics
Automatisierung des kontinuierlichen Lernens und Untersuchung des Langzeitverhaltens neuronaler Netze für die Produktionsregelung
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