One of the reasons behind the success in the business world is the optimal pricing for products and parts. As a matter of fact, it is known that the best price has a very strong effect on income, profitability and growth factors of businesses. Businesses aim to define the best price for the products or the parts taking the quality, performance, and cost triangle into consideration. Knowing the supplier’s price and lead time is strategically important for competitive advantage in enterprises due to its cost-reducing effect. Defining a price for the buyers based on the performance of the product can sometimes be a rather complicated and time-consuming process. Procurement cost is a Key Performance Indicator (KPI) that is vital to supply chain management. The purpose of procurement savings is to reduce procurement costs, improve supplier conditions and reduce product prices.

This article focuses on material procurement (supply) cost using regression-based linear performance pricing (LPP), a tool developed for pricing processes to reduce the unit cost of parts in a large automotive original equipment manufacturer (OEM). Although the method is widely used in the automotive industry in the US and Europe, there is a gap in the literature due to the lack of discussion about the applicability of the LPP method. In this context, it is aimed to contribute to the literature with a detailed example to popularize and disseminate the use of the LPP technique in purchasing and pricing processes. However, it was also aimed to show that pricing problems can be addressed with intelligent approaches as an alternative to classical mathematical models in these processes. Since the data in the study are suitable for the fuzzy logic method, the accuracy of the savings obtained from LPP, in the problem was checked with Fuzzy Logic.

在商业领域取得成功的原因之一是产品和零件的最优定价。实际上，众所周知，最优惠的价格对企业的收入，盈利能力和增长因素具有非常强烈的影响。企业的目标是在考虑质量，性能和成本三角的情况下为产品或零件定义最佳价格。由于具有降低成本的作用，因此了解供应商的价格和交货时间对于企业的竞争优势具有重要的战略意义。根据产品的性能为购买者确定价格有时可能是一个相当复杂且耗时的过程。采购成本是关键绩效指标（KPI），对供应链管理至关重要。节省采购的目的是降低采购成本，

本文重点介绍使用基于回归的线性绩效定价（LPP）的材料采购（供应）成本，该工具是为定价过程而开发的工具，可降低大型汽车原始设备制造商（OEM）的零件单位成本。尽管该方法已在美国和欧洲的汽车工业中广泛使用，但由于缺乏有关LPP方法适用性的讨论，因此文献中存在空白。在这种情况下，其目的是通过详细的例子为文献做出贡献，以在购买和定价过程中普及和传播LPP技术的使用。但是，其目的还在于表明，可以通过智能方法解决定价问题，以替代这些过程中的经典数学模型。