Design for mass personalization

Tseng, Mitchell M.; Jiao, Roger J.; Wang, C.

doi:10.1016/j.cirp.2010.03.097

Cited by 184 publications

(69 citation statements)

References 7 publications

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“…2011) gives a comprehensive review on its knowledge-based systems, methods and tools. Moreover, 31 the tendency towards mass customisation and personalization (Tseng et al 2010) requires companies to 32 reveal latent customer requirements (CRs) (e.g. affective and cognitive ones) other than only explicit 33 technical information (Wang and Tseng 2011), thus, the function-based methods need to be improved 34 accordingly.…”

Section: Introduction 27mentioning

confidence: 99%

A weighted interval rough number based method to determine relative importance ratings of customer requirements in QFD product planning

Zheng

Xie

2016

J Intell Manuf

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Article:Zheng, P, Xu, X and Xie, SQ (2016) A weighted interval rough number based method to determine relative importance ratings of customer requirements in QFD product planning. Journal of Intelligent Manufacturing. pp. 1-14. ISSN 0956-5515 https://doi.org/10.1007/s10845-016-1224-z © Springer Science+Business Media New York 2016. This is an author produced version of a paper published in Journal of Intelligent Manufacturing. Uploaded in accordance with the publisher's self-archiving policy. The final publication is available at Springer via https://doi.org/10.1007/s10845-016-1224-z.eprints@whiterose.ac.uk https://eprints.whiterose.ac.uk/ Reuse Unless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy solely for the purpose of non-commercial research or private study within the limits of fair dealing. The publisher or other rights-holder may allow further reproduction and re-use of this version -refer to the White Rose Research Online record for this item. Where records identify the publisher as the copyright holder, users can verify any specific terms of use on the publisher's website. TakedownIf you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing eprints@whiterose.ac.uk including the URL of the record and the reason for the withdrawal request. Customer requirements (CRs) play a significant role in the product development process, 8 especially in the early design stage. Quality function deployment (QFD), as a useful tool in 9 customer-oriented product development, provides a systematic approach towards satisfying CRs. 10Customers are heterogeneous and their requirements are often vague, therefore, how to determine the 11 relative importance ratings (RIRs) of CRs and eventually evaluate the final importance ratings is a 12 critical step in the QFD product planning process. Aiming to improve the existing approaches by 13 interpreting various CR preferences more objectively and accurately, this paper proposes a weighted 14 interval rough number method. CRs are rated with interval numbers, rather than a crisp number, which 15 is more flexible to adapt in real life; also, the fusion of customer heterogeneity is addressed by 16 assigning different weights to customers based on several factors. The consistency of RIRs is 17 maintained by the proposed procedures with design rules. A comparative study among fuzzy weighted 18 average method, rough number method and the proposed method is conducted at last. The result shows 19 that the proposed method is more suitable in determining the RIRs of CRs with vague information. 20

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Section: Introduction 27mentioning

confidence: 99%

A weighted interval rough number based method to determine relative importance ratings of customer requirements in QFD product planning

Zheng

Xie

2016

J Intell Manuf

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“…Indeed, the state of the art in design of PSS and other technologies for integrating extra/complementary services to product life-cycle are still offered as some scarce services, mostly irrelevant to the functionality of products, only as complementary services to the application of them. The argument for accompanying products with services is increasingly being adopted by industry in response to the continuous increase of implicit customer requirements for better and more functionalities, besides the personalization of products throughout their lifecycles [14,15,16]. Since a major part of associated services are today either digitally delivered or provided, the modern notion of PSS can be facilitated by the Product Avatar, as a platform for offering services to many different stakeholders throughout the product life-cycle.…”

Section: Review Of Mtx Fundamentsmentioning

confidence: 99%

Make-to-XGrade for the Design and Manufacturing of Flexible, Adaptive, and Reactive Products

Mehrsai¹,

Henriksen²,

Røstad

et al. 2014

Procedia CIRP

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Today, development of physical products does not only reflect the notion of tangible objects, but rather those of individualized products with associated services; which bring more value to final customers than the pure physical objects without any accessories and services. Thanks to new achievements in ICT, all product stakeholders (e.g., manufacturers, consumers, service providers) have got the possibility to more intensively interact with each other and thereupon profit from that. This novel approach has led the development features of products to a new era of cyber-physical systems, resulting in higher individualized and user-friendly product experiences, reflecting intelligent and connected products throughout their life-cycles. Accordingly, such products configure product-service systems with accompanying several merits, e.g., flexibility, adaptability, reactivity, expertise, and x-gradability. Prospective products due to their adaptable design, associated services and Avatars are able to cover a range of customizations upon the current and prospective needs of customers. Besides, manufacturers can profit from this approach for adopting new production strategies. This perspective is recommended and conceptually explored in this paper.

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“…Personalization, on the other hand, is mostly achieved through information technology to collect and analyze customer data. Moreover, personalization is about achieving each customer satisfaction individually, whereas the customers are classified into different market segments, and customers within the same segment receive parameter-based customized products in customization (Tseng et al, 2010). Kumar (2007) argued that there is a strategic transformation from mass customization to mass personalization; however, the degree of the transformation varies across industries.…”

Section: Mass Customization Vs Personalizationmentioning

confidence: 99%

From mass customization to product personalization in automotive industry: potentials of industry 4.0

Kabasakal¹,

Keskin²,

Ventura³

et al. 2017

Pressacademia

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Purpose-Industry 4.0 involves a paradigm shift in marketing management as well as operations management. The recent literature identifies a transformation from mass customization to mass personalization. The purpose of this study is to explore the transformation addressing the Industry 4.0 concepts and recent progress in the automotive industry. Methodology-This study is an exploratory research utilizing case study method. Interviews were carried out with one of the leading automotive brands. Data were analyzed through descriptive analysis. Findings-The case study identifies the product decisions with a focus on customization and personalization themes. Customers' involvement in design process is emphasized as well as customer data for a more customer-oriented strategy. The findings suggest that disruptive technologies provide a basis for mass-personalization strategy. Conclusion-Our case study demonstrates that automotive industry is one of the leading industries that prioritize customer preferences. The customization is achieved through numerous options supported by generic architectures. Nevertheless, personalization represents a higher degree of one-to-one marketing vision. Industry 4.0 contributes to such vision with emerging technologies that facilitate collection and analysis of customer and provide more personalized experience.

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Design for mass personalization

Cited by 184 publications

References 7 publications

A weighted interval rough number based method to determine relative importance ratings of customer requirements in QFD product planning

A weighted interval rough number based method to determine relative importance ratings of customer requirements in QFD product planning

Make-to-XGrade for the Design and Manufacturing of Flexible, Adaptive, and Reactive Products

From mass customization to product personalization in automotive industry: potentials of industry 4.0

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