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A population-growth model for multiple generations of technology products

机译:多代技术产品的人口增长模型

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摘要

Producing new generation products is a challenging task for companies manufacturing technology products. This paper is based on the effort of Intel Corporation in building models that support introducing new generation products. The new product introduction in Intel depends on the speed of technology development. The product characteristics of new products not only influence their own demand but influence the market of related next generation products. Intel invests every time for introduction of new products, on the infrastructural facilities. However all depends up on how accurately the demand for the new product is forecasted. This article focuses on long range forecasting that includes the introduction of multiple range products. First to invest on facilities long before the introduction of products, the aggregate demand over the product cycle should be known with details of start period, peak-demand and the time of achieving the peak demand. Secondly the model should take in to account the competition factor and finally the forecast uncertainty should be predicted. This paper proposes a model based on the situation in Intel, but the model can be used for long-range forecasting for multiple generation products. (39 refs.).
机译:对于生产技术产品的公司而言,生产新一代产品是一项艰巨的任务。本文基于英特尔公司在构建支持引入新一代产品的模型方面的努力。英特尔新产品的推出取决于技术发展的速度。新产品的产品特性不仅影响自己的需求,而且影响相关下一代产品的市场。英特尔每次都在基础设施上投资以推出新产品。但是,一切都取决于对新产品需求的预测准确性。本文重点介绍远程预测,其中包括引入多种产品。首先要在产品推出之前很久就投资于设施,应该知道产品周期的总需求,并详细说明开始时间,高峰需求和达到高峰需求的时间。其次,模型应考虑竞争因素,最后应预测预测不确定性。本文基于Intel的情况提出了一个模型,但是该模型可以用于多代产品的远程预测。 (39参考。)

著录项

  • 来源
    《Operations Research》 |2014年第6期|539-541|共3页
  • 作者单位

    W. P. Carey School of Business, Arizona State University, Tempe, AZ 85287;

    School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ 85287;

    Decision Engineering Group, Intel Corporation, Chandler, AZ 85226;

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