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Supplier evaluation and selection in automotive industry using conditional probability

机译:使用条件概率的汽车行业供应商评估和选择

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摘要

Supplier evaluation and selection is one very important factor for the success of a company. There are many supplier evaluation and selection tools and software available in the market. But this approach is different from the others. Here a comprehensive list of suppliers selection criteria is selected and they are divided in 3 supplier selection group. This group of criteria is done based on the relationship among them. All the suppliers are evaluated based on these 3 supplier selection group. The supplier with the highest value is selected. The probability associated with that factor is assigned and at the end overall probability of selecting any specific supplier is calculated. To calculate the overall probability conditional probability is used. This probability calculated tells us which supplier to go for in the pool of suppliers. The higher the probability the better the chances of getting the supplier selected and less risk involved in going with that supplier. This is a cost effective and simple way of supplier selection which can be used by any company, especially by a small size company or a company with low budget only with the help of historical data and market feedback. The purchasing company only need to have team of experts who can figure out the important supplier selection parameters and assign probabilities to those parameters. To the future enhancement to this method, more criteria can be added for supplier selection and evaluation.
机译:供应商评估和选择是公司成功的一个非常重要的因素。市场上有许多供应商评估和选择工具以及软件。但是这种方法不同于其他方法。这里选择了供应商选择标准的完整列表,并将其分为3个供应商选择组。这组标准是根据它们之间的关系完成的。基于这三个供应商选择组对所有供应商进行评估。选择了价值最高的供应商。分配与该因素相关的概率,最后计算选择任何特定供应商的总体概率。为了计算总体概率,使用条件概率。计算出的概率告诉我们要在供应商池中寻找哪个供应商。概率越高,选择供应商的机会就越大,与该供应商合作的风险就越小。这是一种经济高效且简单的供应商选择方式,任何公司,尤其是小型公司或预算较低的公司,都可以借助历史数据和市场反馈来使用它。采购公司只需要拥有一支专家团队,他们就能找出重要的供应商选择参数并为这些参数分配概率。为了将来对该方法的增强,可以添加更多标准来选择和评估供应商。

著录项

  • 作者

    Raj, Anand.;

  • 作者单位

    The University of Texas at El Paso.;

  • 授予单位 The University of Texas at El Paso.;
  • 学科 Industrial engineering.
  • 学位 M.S.
  • 年度 2017
  • 页码 104 p.
  • 总页数 104
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 语言学;
  • 关键词

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