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Stock market related pricing mechanisms for the tool and mould manufacturing industry

机译:股市相关定价机制工具和模具制造业

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Tool and mould manufacturers typically prepare their quotations and tenders in response to customers' requests. The ability to provide an accurate price of, for example, a die casting mould is a key competitive factor for such companies. However, particularly in the customised production area, calculating the quotations and tenders has been proven as extremely challenging and subjective matter. One main cause is that time dynamic costs are rarely taken into consideration sufficiently even though they have a major impact on the final quotation due to the large time frame between the moment of the initial quotation and the actual production start. They neglect can lead to a significant discrepancy of up to 40 percent between pre-and post-calculation and thus to a loss of the corporate added value. A novel method developed at the Institute of Production Engineering and Machine Tools (IFW), Leibniz Universitat Hannover, aims to provide a framework which allows tool and mould manufacturer to prepare a more precise and reliable quotation by taking time-dependent dynamic costs into consideration. The prediction of the time dynamic costs takes place by using stock market pricing mechanisms. Subsequently, based on enterprise related knowledge aggregation, this method also accounts for the probability of occurrence of each quotation thereby minimising the discrepancy between the pre-and post-calculation
机译:工具和模具制造商通常以响应客户的要求为其报价和招标做好准备。例如,提供准确的价格,例如压铸模具是这些公司的关键竞争因素。然而,特别是在定制的生产区域中,计算报价和招标已被证明是极其挑战性和主观的问题。一个主要原因是,即使在初始引用的时刻与实际生产开始之间的时间框架具有大的时间帧,它们也很少考虑动态成本。他们忽视可能导致预先计算和后期之间的显着差异高达40%,从而损失公司附加值。在生产工程和机床工具(IFW)中开发的一种新型方法,莱布尼兹大学汉诺威,旨在提供一种框架,允许工具和模具制造商通过采取时间依赖的动态成本来准备更精确和可靠的报价。通过使用股票市场定价机制来预测时间动态成本。随后,基于企业相关知识聚合,该方法还考虑了每个报价的发生概率,从而最大限度地减少了预先计算和后期计算之间的差异

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