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Managing production of high-tech products with high production quality variability

机译:管理具有高生产质量可变性的高科技产品的生产

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We consider production systems in technology industries where output quality of a single production run has a large variance. Firms operating such systems classify products into different quality bins and sell units in one bin at the same tagged quality level and the same price. Consumers have heterogeneous quality preferences and choose that quality that maximises their net utility. We examine firms' assortment, production and pricing problem. We present a three-stage solution procedure that optimises the production quantity, quality specification and number of bins. In that regard, we show that for a manufacturing technology with known quality distribution and known distribution of customers' quality preference, the optimal assortment and production quantity are set such that on average, the demand of each bin is exactly fulfilled. We examine the impact of an improved manufacturing technology, variation in consumer preferences and changing price premium on the optimal assortment, lot size, market share, yield loss and the overall profitability. We further show that when the quality distribution of the manufacturing process is unknown, downward substitution leads to product offering of higher quality and higher prices. Finally, we discuss practical considerations for pricing, technology and optimal product offerings, and explain the proliferation of bins witnessed in the last decade in the processor industry.
机译:我们考虑技术行业的生产系统,其中单个生产运行的输出质量差异很大。运营此类系统的公司将产品分类为不同的质量等级,并以相同的标记质量等级和相同的价格将一个单位的产品出售。消费者对质量有不同的偏好,他们选择的质量会最大化其净效用。我们研究企业的分类,生产和定价问题。我们提出了一个三阶段解决方案程序,该程序优化了生产数量,质量规格和垃圾箱数量。在这方面,我们表明,对于具有已知质量分布和已知客户质量偏好分布的制造技术,可以设置最佳的分类和产量,以使平均每个仓位的需求得到满足。我们研究了改进的制造技术,消费者偏好的变化以及不断变化的价格溢价对最佳品种,手数,市场份额,产量损失和整体盈利能力的影响。我们进一步表明,当制造过程的质量分布未知时,向下替代会导致提供更高质量和更高价格的产品。最后,我们讨论了定价,技术和最佳产品提供的实际考虑,并解释了处理器行业在过去十年中目睹的垃圾箱激增。

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