New information and communication technologies are changing the way products are developed, manufactured, serviced and managed over the product’s lifecycle. Today’s smart products not only consist of their physical components, but are also endowed with intelligence. Data and the capabilities to process data into knowledge and eventually decisions have become critical components of the product itself and of the process to develop/operate the product. This paper investigates how engineers and a new functional role, data scientists, can effectively collaborate in a mixed team for new product development with data-driven features (NPD3). We focus on the concept development stage, typically the fuzziest phase of product development. In this paper, an integrated process model is explored by revisiting the traditional new product development (NPD) process model as well as the knowledge discovery and data mining (KDDM) process model. Then a case study of the development of an application-specific unmanned aircraft system (UAS) is used to examine the proposed model.

中文翻译：

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面向具有数据驱动功能的新产品开发的集成流程模型 (NPD3)

新的信息和通信技术正在改变产品在产品生命周期内的开发、制造、服务和管理方式。今天的智能产品不仅由物理组件组成，而且还具有智能。数据和将数据处理成知识并最终做出决策的能力已成为产品本身和开发/运营产品过程的关键组成部分。本文研究了工程师和新的职能角色数据科学家如何在混合团队中有效协作，以开发具有数据驱动功能 (NPD3) 的新产品。我们专注于概念开发阶段，通常是产品开发中最模糊的阶段。在本文中，通过重新审视传统的新产品开发 (NPD) 过程模型以及知识发现和数据挖掘 (KDDM) 过程模型来探索集成过程模型。然后使用特定应用无人机系统 (UAS) 开发的案例研究来检查所提出的模型。