0
research-article

A Systematic Function Recommendation Process for Data-Driven Product and Service Design

[+] Author and Article Information
Zhinan Zhang

School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
zhinanz@sjtu.edu.cn

Ling Liu

School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
dreaming@sjtu.edu.cn

W. Wei

School of Mechanical Engineering and Automation, Beihang University, Beijing, China
weiwei@buaa.edu.cn

Fei Tao

School of Automation and Electrical Engineering, Beihang University, Beijing, China
ftao@buaa.edu.cn

Tianmeng Li

School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, Australia
liangcheng.niu@unsw.edu.au

Ang Liu

School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, Australia
ang.liu@unsw.edu.au

1Corresponding author.

ASME doi:10.1115/1.4037610 History: Received February 17, 2017; Revised August 10, 2017

Abstract

This paper presents a systematic function recommendation process (FRP) to recommend new functions to an existing product and service. Function plays a vital role in bridging intangible user needs to tangible product behaviors under constraints. It is imperative for manufacturers to continuously equip an existing product/service with exciting new functions. Traditionally, functions are mostly formulated by experienced designers and senior managers based on their subjective experience, knowledge, creativity, and even heuristics. Nevertheless, against the sweeping trend of information explosion, it is increasingly inefficient and unproductive for designers to manually formulate functions. In e-commerce, recommendation systems are ubiquitously used to recommend new products to users. In this study, the practically viable recommendation approaches are integrated with the theoretically sound design methodologies to serve a revolutionizing paradigm of recommending new functions to an existing product/service. The aim is to address the problem of how to estimate an unknown rating that a target user would give to a candidate function that is not carried by the target product/service yet. A systematic function recommendation process is prescribed, followed by a detailed case study. It is indicated that practically meaningful functional recommendations can indeed by generated through the proposed FRP.

Copyright (c) 2017 by ASME
Your Session has timed out. Please sign back in to continue.

References

Figures

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In