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Technical Brief

Identification of performance requirements for design of smartphones based on analysis of the collected operating data

[+] Author and Article Information
Lei Zhang

School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
zhanglei415@sjtu.edu.cn

Xuening Chu

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

Hansi Chen

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

Deyi Xue

Departments of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, Alberta, Canada
dxue@ucalgary.ca

1Corresponding author.

ASME doi:10.1115/1.4037475 History: Received February 11, 2017; Revised July 22, 2017

Abstract

In order to overcome the problems due to subjective judgements in the traditional requirement acquisition techniques based on the "users' voices" such as interviews, questionnaires, and customer online reviews and discussions, a new approach is developed in this research to identify the performance requirements for design of smartphones based on analysis of the collected operating data. The actual smartphone usage data are collected considering two typical cases of smartphones with sufficient performance and insufficient performance. First, distribution fitting and curve fitting methods are used to obtain the performance distributions for the two typical cases. Based on the performance distribution, the interval of required performance is determined, and the customer satisfaction function (CSF) is constructed using the Sigmoid-like function. Based on the CSF, the customer required performance can be obtained. The cost-effective point for the satisfaction improvement is determined to get a reasonable degree for customer requirement satisfaction. A case study is conducted to collect the CPU utilization data of smartphones using an in-house developed Smart Monitor system, and to identify the customer requirements on the CPU performance based on the developed new approach.

Copyright (c) 2017 by ASME
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