Developing a quick response product configuration system under industry 4.0 based on customer requirement modelling and optimization method

In the Industry 4.0 environment, the new manufacturing transformation of mass customization for high-complexity and low-volume production is moving forward. Based on cyber-physical system (CPS) and Internet of things (IoT) technology, the flexible transformation of the manufacturing process to suit...

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Main Authors: Lee, Ching-Hung, Chen, Chun-Hsien, Lin, Chenyu, Li, Fan, Zhao, Xuejiao
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/142850
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1428502023-03-04T17:21:40Z Developing a quick response product configuration system under industry 4.0 based on customer requirement modelling and optimization method Lee, Ching-Hung Chen, Chun-Hsien Lin, Chenyu Li, Fan Zhao, Xuejiao School of Computer Science and Engineering School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Industry 4.0 Make-to-order Strategy In the Industry 4.0 environment, the new manufacturing transformation of mass customization for high-complexity and low-volume production is moving forward. Based on cyber-physical system (CPS) and Internet of things (IoT) technology, the flexible transformation of the manufacturing process to suit diverse customer manufacturing requirements is very possible, with the potential to provide digital 'make-to-order' (MTO) services with a quick response time. To achieve this potential, a product configuration system, which translates the voice of customers to technical specifications, is needed. The purpose of this study is to propose a methodology for developing a quick-response product configuration system to enhance the communication between the customer and the manufacturer. The aim is to find an approach to receive requests from customers as inputs and generate a product configuration as outputs that maximizes customer satisfaction. In this approach, engineering characteristics (ECs) are defined, and selection pools are initially constructed. Then, quality function deployment (QFD) is modified and integrated with the Kano model to qualitatively and quantitatively analyze the relationship between customer requirements (CRs) and customer satisfaction (CS). Next, a mathematical programming model is applied to maximize the overall customer satisfaction level and recommend an optimal product configuration. Finally, sensitivity analysis is conducted to suggest revisions for customers and determine the final customized product specification. A case study and an OrderAssistant system are implemented to demonstrate the procedure and effectiveness of the proposed quick response product configuration system. NRF (Natl Research Foundation, S’pore) Published version 2020-07-03T08:32:37Z 2020-07-03T08:32:37Z 2019 Journal Article Lee, C.-H., Chen, C.-H., Lin, C., Li, F., & Zhao, X. (2019). Developing a quick response product configuration system under industry 4.0 based on customer requirement modelling and optimization method. Applied Sciences, 9(23), 5004-. doi:10.3390/app9235004 2076-3417 https://hdl.handle.net/10356/142850 10.3390/app9235004 2-s2.0-85076459547 23 9 en Applied Sciences © 2019 The Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Mechanical engineering
Industry 4.0
Make-to-order Strategy
spellingShingle Engineering::Mechanical engineering
Industry 4.0
Make-to-order Strategy
Lee, Ching-Hung
Chen, Chun-Hsien
Lin, Chenyu
Li, Fan
Zhao, Xuejiao
Developing a quick response product configuration system under industry 4.0 based on customer requirement modelling and optimization method
description In the Industry 4.0 environment, the new manufacturing transformation of mass customization for high-complexity and low-volume production is moving forward. Based on cyber-physical system (CPS) and Internet of things (IoT) technology, the flexible transformation of the manufacturing process to suit diverse customer manufacturing requirements is very possible, with the potential to provide digital 'make-to-order' (MTO) services with a quick response time. To achieve this potential, a product configuration system, which translates the voice of customers to technical specifications, is needed. The purpose of this study is to propose a methodology for developing a quick-response product configuration system to enhance the communication between the customer and the manufacturer. The aim is to find an approach to receive requests from customers as inputs and generate a product configuration as outputs that maximizes customer satisfaction. In this approach, engineering characteristics (ECs) are defined, and selection pools are initially constructed. Then, quality function deployment (QFD) is modified and integrated with the Kano model to qualitatively and quantitatively analyze the relationship between customer requirements (CRs) and customer satisfaction (CS). Next, a mathematical programming model is applied to maximize the overall customer satisfaction level and recommend an optimal product configuration. Finally, sensitivity analysis is conducted to suggest revisions for customers and determine the final customized product specification. A case study and an OrderAssistant system are implemented to demonstrate the procedure and effectiveness of the proposed quick response product configuration system.
author2 School of Computer Science and Engineering
author_facet School of Computer Science and Engineering
Lee, Ching-Hung
Chen, Chun-Hsien
Lin, Chenyu
Li, Fan
Zhao, Xuejiao
format Article
author Lee, Ching-Hung
Chen, Chun-Hsien
Lin, Chenyu
Li, Fan
Zhao, Xuejiao
author_sort Lee, Ching-Hung
title Developing a quick response product configuration system under industry 4.0 based on customer requirement modelling and optimization method
title_short Developing a quick response product configuration system under industry 4.0 based on customer requirement modelling and optimization method
title_full Developing a quick response product configuration system under industry 4.0 based on customer requirement modelling and optimization method
title_fullStr Developing a quick response product configuration system under industry 4.0 based on customer requirement modelling and optimization method
title_full_unstemmed Developing a quick response product configuration system under industry 4.0 based on customer requirement modelling and optimization method
title_sort developing a quick response product configuration system under industry 4.0 based on customer requirement modelling and optimization method
publishDate 2020
url https://hdl.handle.net/10356/142850
_version_ 1759854829810745344