張瓊文

Chiung-WenChang

碩士論文（2019）

智能化新產品開發專案管理之資料分析架構研究

On Data Analytics Framework of Smart-Project Management for Product Development

關鍵字 Keywords

新產品開發、專案管理、資料科學、智慧／智能、資料分析架構、導入方法論、資料探勘

New Product Development、Project Management、Data Science、Smart、Data Analytics Framework、Implementation Methodology、Data Mining

摘要

科技進步讓商品多樣化與複雜化，消費者也因選擇眾多，對產品的喜好善變，要求也日新月異。為了掌握市場，企業必須不斷地開發新產品，以滿足消費者不斷變化與提高的需求。因此「新產品開發」成為企業的關鍵活動，也是創造企業價值與提升競爭優勢的重要策略。新產品開發是一種多工且複雜的技術應用程序，其過程繁瑣、影響因素眾多，因此成功的比例不高。有效的新產品開發需要一套系統化的程序、適當的方法與技術，以及有效的管理。

自從電腦、網路、社群媒體、雲端、物聯等技術的蓬勃發展，數據的大量增加，人工智慧日趨成熟，也讓資料科學受到極大重視，並被廣泛應用在許多領域。隨著資料科學與人工智慧的興起，使得系統「智能化」之理想已能逐漸實現。新產品開發屬於動態的過程，是一種系統工程的程序，倘若能將資料科學的方法與技術整合於專案管理中，將使新產品開發專案管理智能化。

本研究主要目的在運用資料科學與人工智慧之概念、方法與技術，設計「智能化新產品開發專案管理模型」，依此規劃設計「智能化新產品開發專案管理之資料分析架構」以及相關之「分析方法」，並以一企業實例驗證本研究所提之模型與分析架構之有效性。本研究所提之方法將提高企業新產品開發之績效，進而提昇公司之競爭力。

Abstract

Due to the advancement of technology, consumers' interests and needs for products are constantly changing. In order to obtain the market, enterprise must constantly develop new products to meet the changing and increasing needs of consumers. Therefore, New Product Development (NPD) is an important key activity of the enterprise and one of the strategies to create enterprise value and enhance competitive advantage. New product development is a multiplexed and complex technical application. The proportion of successful products is not high. Effective new product development requires a systematic process, appropriate methods and techniques, and effective management.

As technologies such as computers, networks, socializing platform, and the IoT flourish, data-centric activities combine data science to maximize data value and create new knowledge value. With the big data, the artificial intelligent has become more and more mature, which has The rise of data science and AI has made the ideal of smart system gradually realized. New product development is a dynamic process and a system engineering producure. If we Can integrate data science methods and technologies into project management, we will make project management smart.

The research uses data science concepts, methods, and techniques to design of Smart-Project Management for Product Development Model, according to this model design and planning Data Analytics Framework for Project Management and Analytics Method, using case to verify the analysis of the architecture and model is effective.

This research will improve the performance of new product development, and thus enhance the company's competitiveness.