4.6 Article

Robust adaptable design considering changes of requirements and parameters during product operation stage

Journal

Publisher

SPRINGER LONDON LTD
DOI: 10.1007/s00170-014-5658-1

Keywords

Product design; Adaptable design; Robust design; Uncertainties

Funding

  1. National Science Foundation of Guangdong Province, China [8351503101000001]
  2. Leading Talent Project of Guangdong Province, China
  3. Natural Sciences and Engineering Research Council (NSERC) of Canada
  4. National Natural Science Foundation of China [51375287, 51275281]

Ask authors/readers for more resources

Increasing competition in the global marketplace demands products be adaptable to the changes of functional requirements, operation environments, and technology advancement. Adaptable design can be employed for developing adaptable products and systems that can be changed, such as reconfigured and upgraded, during product operation stage. In addition, since product and operating parameters are normally subject to influence of uncertainties that lead to variations of functional performance, robust design needs to be carried out to identify the design whose functional performance is the least sensitive to the variations of product and operating parameters. This research aims at developing a robust adaptable design approach such that the product is adaptable to various changes in requirements and parameters during the product operation stage, meanwhile the product functional performance measures are the least sensitive to parameter variations. First, the requirements, parameters, and variations of these parameters are defined as numerical functions of a time parameter. Then, mathematical models are established to describe the relationships among product design/operating parameters, functional performances, and variations of these parameters and performances. Furthermore, an optimization-based model is developed to achieve the robust adaptable design. A case study has also been developed to demonstrate the effectiveness of the newly developed robust adaptable design method.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Engineering, Industrial

A multi-population co-evolutionary genetic programming approach for optimal mass customisation production

Biao Yu, Han Zhao, Deyi Xue

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2017)

Review Engineering, Industrial

Recent advances in research on reconfigurable machine tools: a literature review

Moustafa Gadalla, Deyi Xue

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2017)

Article Computer Science, Artificial Intelligence

Identification of to-be-improved components for redesign of complex products and systems based on fuzzy QFD and FMEA

Hongzhan Ma, Xuening Chu, Deyi Xue, Dongping Chen

JOURNAL OF INTELLIGENT MANUFACTURING (2019)

Article Engineering, Mechanical

Function Module Partition for Complex Products and Systems Based on Weighted and Directed Complex Networks

Yupeng Li, Zhaotong Wang, Lei Zhang, Xuening Chu, Deyi Xue

JOURNAL OF MECHANICAL DESIGN (2017)

Article Automation & Control Systems

A new approach based on central composite design and multi-objective optimization for design of a roller-mill mechanism in a maize stubble harvester

Baigong Zeng, Longzhe Quan, Jin Tong, Jin Ye, Deyi Xue

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2018)

Article Engineering, Industrial

An approach to identify the optimal configurations and reconfiguration processes for design of reconfigurable machine tools

Moustafa Gadalla, Deyi Xue

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2018)

Article Engineering, Mechanical

A modular design approach for modeling and optimization of adaptable products considering the whole product utilization spans

Maribel Martinez, Deyi Xue

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE (2018)

Article Engineering, Industrial

Identification of the to-be-improved product features based on online reviews for product redesign

Lei Zhang, Xuening Chu, Deyi Xue

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2019)

Article Transportation

A hybrid dead reckoning error correction scheme based on extended Kalman filter and map matching for vehicle self-localization

Biao Yu, Lin Dong, Deyi Xue, Hui Zhu, Xinli Geng, Ruling Huang, Jie Wang

JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS (2019)

Article Engineering, Mechanical

An accuracy degradation analysis of ball screw mechanism considering time-varying motion and loading working conditions

Qiang Cheng, Baobao Qi, Zhifeng Liu, Caixia Zhang, Deyi Xue

MECHANISM AND MACHINE THEORY (2019)

Article Computer Science, Artificial Intelligence

A directed failure causality network (DFCN) based method for function components risk prioritization under interval type-2 fuzzy environment

Hongzhan Ma, Xuening Chu, Weizhong Wang, Xinwang Liu, Deyi Xue

ADVANCED ENGINEERING INFORMATICS (2019)

Article Computer Science, Interdisciplinary Applications

An optimal concurrent product design and service planning approach through simulation-based evaluation considering the whole product life-cycle span

Hang Liu, Xuening Chu, Deyi Xue

COMPUTERS IN INDUSTRY (2019)

Article Green & Sustainable Science & Technology

The mixed production mode considering continuous and intermittent processing for an energy-efficient hybrid flow shop scheduling

Zhifeng Liu, Jun Yan, Qiang Cheng, Congbin Yang, Shuwen Sun, Deyi Xue

JOURNAL OF CLEANER PRODUCTION (2020)

Article Engineering, Manufacturing

CNC Tool Path Generation for Freeform Surface Machining Based on Preferred Feed Direction Field

Guanying Huo, Xin Jiang, Cheng Su, Zehong Lu, Yuwen Sun, Zhiming Zheng, Deyi Xue

INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING (2019)

Proceedings Paper Engineering, Industrial

A framework for optimal design of complex products

Deyi Xue, David Imaniyan

28TH CIRP DESIGN CONFERENCE 2018 (2018)

No Data Available