Journal Home Online First Current Issue Archive For Authors Journal Information 中文版

Frontiers of Mechanical Engineering >> 2022, Volume 17, Issue 3 doi: 10.1007/s11465-022-0690-6

A hybrid method for product low-end disruptive innovation

1. School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China;2. National Engineering Research Center for Technological Innovation Method and Tool, Hebei University of Technology, Tianjin 300401, China;1. School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China;2. National Engineering Research Center for Technological Innovation Method and Tool, Hebei University of Technology, Tianjin 300401, China;3. Department of Mechanical Engineering, University of Manitoba, Winnipeg, MB R3T 2N2, Canada;1. School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China;2. National Engineering Research Center for Technological Innovation Method and Tool, Hebei University of Technology, Tianjin 300401, China;1. School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China;2. National Engineering Research Center for Technological Innovation Method and Tool, Hebei University of Technology, Tianjin 300401, China;1. School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China;2. National Engineering Research Center for Technological Innovation Method and Tool, Hebei University of Technology, Tianjin 300401, China

Received: 2021-09-13 Available online: 2021-09-13

Next Previous

Abstract

Product innovation is often a process for improving existing products. Low-end disruptive innovation (LDI) enables a product to meet the most price-sensitive customers in the low-end market. The existing LDI methods are mainly based on unnecessary characteristics of disruptive innovations. Thus, they cannot easily identify and respond to the LDI design needs. This study proposes a hybrid method for the product LDI in two levels of the product design based on the summarized definition and essential characteristics of LDI. Feasible areas of the product LDI are determined using a hybrid relational function model to identify the maturity of dominant technologies. The technologies are identified through the technical search and evaluation of the feasible area for innovation to form an initial LDI scheme. Then, the product function is optimized using the trimming concept of theory of inventive problem solving based on the characteristics of LDI. The final LDI scheme is formed and evaluated based on the essential characteristics of the product LDI. The feasibility of the proposed method is verified in the design of a new dropping pill machine.

Related Research