双边制造即服务市场中基于网络的3D打印服务定价
Network Based Pricing for 3D Printing Services in Two-Sided Manufacturing-as-a-Service Marketplace
摘要：
本文提出了在双边制造即服务市场的背景下确定3D打印服务基于网络的定价的方法。其目的是提供成本分析，使服务局能够更好地在市场上竞争，摆脱设置临时和主观的价格。使用具有机器学习方法的数据采掘方法来基于3D打印服务供应商的简档特征估计价格范围。该模式考虑供应商经验、供应商能力、客户对过往订单的评价及评级以及营运规模等因素，以估计供应商服务的价格范围。从现有的市场网站收集数据，然后用于训练和测试模型。该模型表明，美国供应商的准确率为65%，欧洲供应商的准确率为59%，可以将供应商的3D打印机列表分类为七个价格类别之一。与基线准确度相比提高了25%，这表明基于机器学习的方法对于制造市场中基于网络的定价是有希望的。通过基于活动的成本计算对服务进行定价的传统方法在互联市场中对3D打印服务提供进行战略性定价时效率低下。相对于任意确定价格，这项工作提出了一种方法来确定价格，通过数据采掘方法来估计竞争力的价格。这些工具可以内置到在线市场中，以帮助独立的服务局确定服务价格。
英文摘要：
This paper presents approaches to determine a network based pricing for 3D printing services in the context of a two-sided manufacturing-as-a-service marketplace. The intent is to provide cost analytics to enable service bureaus to better compete in the market by moving away from setting ad-hoc and subjective prices. A data mining approach with machine learning methods is used to estimate a price range based on the profile characteristics of 3D printing service suppliers. The model considers factors such as supplier experience, supplier capabilities, customer reviews and ratings from past orders, and scale of operations among others to estimate a price range for suppliers' services. Data was gathered from existing marketplace websites, which was then used to train and test the model. The model demonstrates an accuracy of 65% for US based suppliers and 59% for Europe based suppliers to classify a supplier's 3D Printer listing in one of the seven price categories. The improvement over baseline accuracy of 25% demonstrates that machine learning based methods are promising for network based pricing in manufacturing marketplaces. Conventional methodologies for pricing services through activity based costing are inefficient in strategically pricing 3D printing service offering in a connected marketplace. As opposed to arbitrarily determining prices, this work proposes an approach to determine prices through data mining methods to estimate competitive prices. Such tools can be built into online marketplaces to help independent service bureaus to determine service price rates.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
