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Lucke M.,Institute For Integrierte Produktion Hanover | Krause A.,Institute For Integrierte Produktion Hanover | Behrens B.-A.,Institute For Integrierte Produktion Hanover
AIP Conference Proceedings | Year: 2011

Saving of resources becomes more and more important. Therefore the forging industry tries to develop processes with less flash than the conventional techniques or to avoid flash completely. Currently only simple parts like gears can be forged without flash. In a research project flashless forging processes for crankshafts were developed. In this paper the evolution of the flashless forging process and the process steps will be described. The collaboration research project "process chain for the production of precision forged high performance parts" has been conducted in the last few years at IPH and is funded by the German Research Foundation (DFG). © 2011 American Institute of Physics. Source

Hund E.C.,Institute For Integrierte Produktion Hanover | Rochow P.,Institute For Integrierte Produktion Hanover | Mach F.,Institute For Integrierte Produktion Hanover | Nyhuis P.,Institute For Integrierte Produktion Hanover
Production Engineering | Year: 2016

Controlling the time synchronicity of supply processes for assembly requires a quantitative measure. An existing controlling instrument, the supply diagram, already provides an effective way of assessing the supply situation. It incorporates different key figures which allow for an evaluation of a company’s supply process coordination. However, it lacks a key figure for describing the level of time synchronicity. Therefore, a quantitative evaluation of actions to improve the time synchronicity in supply processes is not possible. Based on an existing approach of approximating the completion of full assembly orders, a key figure for describing the level of time synchronicity is developed in this article: the synchronicity factor. As this new key figure is dependent on the average number of components required for one assembly order for the regarded time period, a second measure, the relative synchronicity factor, accounts for this number and can thereby be used to compare different time periods. As the numerical calculation of the synchronicity factors is a complex problem, the possibility of applying a simple hill climbing algorithm to accurately determine the synchronicity factor for a certain supply situation is examined. © 2016 German Academic Society for Production Engineering (WGP) Source

Baumgarten S.,Institute For Integrierte Produktion Hanover | Hemm T.,Institute For Integrierte Produktion Hanover | Ullmann G.,Institute For Integrierte Produktion Hanover | Nyhuis P.,Institute For Integrierte Produktion Hanover
Logistics Journal | Year: 2013

Against the background of the growing dynamics in the economic environment it is necessary to find new approaches for analyzing and influencing the dynamic behavior of production networks. The analysis of nonlinear dynamics can help to differentiate the causes of the formation of dynamics. One key cause is the production network partners' differing responsiveness, i.e. the logistic capability to react. © 2013 Logistics Journal: Not Reviewed. Source

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