Customer requirement modeling and mapping of numerical control machine

Sheng, Zhang; Wang, Yazi; Song, Junyou; Xie, Hualong

doi:10.1177/1687814015610492

Cited by 12 publications

(11 citation statements)

References 19 publications

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“…With the fierce market competition, product users pay more and more attention to the satisfaction of individual requirements, requirements engineering has received increased attention in the field of consumer and capital product design [2], mass customization design, mechanical design [3] and large-scale complex mechatronic products, like aircraft, cars, industrial robots, machine tools and etc. The work in [4] studied the customer requirement modeling and its mapping to a numerical control machine design. The study in [5] researched on industrial robot examples to describe strategies for clarifying the product definition early in the development phase by deploying the right mix of key tools for management of the product development process.…”

Section: Literature Review：mentioning

confidence: 99%

“…In the analysis process, firstly, cleanup original customer requirements by merging some semantic similar (or the same) items into one. Secondly, conduct a decomposition operation on each cleaned customer requirement using like semantic decomposition, to breakdown it into a series of explicit and detailed minimum requirement units(RUs) [4].…”

Section: Decomposition and Semantic Mappingmentioning

confidence: 99%

“…The gear transmission ratio mainly influences the running speed and with the decrease of it, the train running speed become higher, in other words, there is a negative correlation between the running speed and the gear transmission ration. Hence, based on analysis of minimum difference before and after the degrees of customer satisfaction changes to coordinate the conflict and the results are as table 1, where the weight value of running speed is 4 . 0 w 1 = , it can be seen that the degree of customer satisfaction in scheme 2 is maximum.…”

Section: )mentioning

confidence: 99%

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Transforming Multidisciplinary Customer Requirements to Product Design Specifications

Ding

Qin

et al. 2017

Chin. J. Mech. Eng.

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： The customer requirement modeling is a highly important part of a product development process for understanding the customers and market needs. But with the increasing of complexity of complex mechatronic products, it is necessary to involve multidisciplinary design teams, thus, the traditional customer requirements modeling for a single discipline team becomes difficult to be applied in a multidisciplinary team and project since team members with various disciplinary backgrounds may have different interpretations of the customers' requirements. This paper provides a new synthesized multidisciplinary customer requirements modeling method for obtaining and describing the common understanding of customer requirements and more importantly transferring them into a detailed and accurate product design specifications (PDS) to interact with different team members effectively. A case study of designing a high speed train verifies the rationality and feasibility of the proposed multidisciplinary requirement modeling method for complex mechatronic product development.Key words: complex mechatronic product, multidisciplinary customer requirements modeling, disciplinary specialty language dictionary, high-speed train 1.IntroductionWith the mass customization of product design and development, the individuality and diversity of customer requirements for a complex mechatronic product is ever increasing, the manufacturer enterprises are facing tremendous pressures and challenges to deal with the diverse and rapid changing customer and market requirements. The traditional "product-centric" design method for complex mechatronic products has been unable to adapt to the growing market competition, therefore, the enterprises should shift the design focus to the "customer-centric" design methods for complex mechatronic products. Customer requirement modeling thus becomes a highly significant part of a product development process and it also has been a research topic for years and used in the field of system and software development [1].The ultimate purpose of traditional customer requirements modeling is that realizes the mapping of CRs in the customer domain to PDS (a formalized specification of customers' requirements and a list of the product performance, environment, quality, reliability, security, life cycle and other elements with considering performance and cost constraints, design inputs, constraints and goals and so on [30]) in the designer domain to improve the development efficiency and reduce the development cost. Through many years of research and application, the process of traditional customer requirements modeling, encompassing requirement elicitation, requirement analysis and requirement verification, has been formed into a standardization process from a system and software engineering point of view [2]. The requirement elicitation is to extract Biographical notesMA Xiaojie, born in 1986, is currently a PhD candidate at Institute of Advanced Design and Manufacturing,

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Section: Literature Review：mentioning

confidence: 99%

Section: Decomposition and Semantic Mappingmentioning

confidence: 99%

Section: )mentioning

confidence: 99%

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Transforming Multidisciplinary Customer Requirements to Product Design Specifications

Ding

Qin

et al. 2017

Chin. J. Mech. Eng.

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“…In this system, a customer demand ontology is established to generate a more accurate demand report. Sheng et al [9] proposed the customer demand modeling and mapping process for configuration design. Ambiguity and abstraction requirements are decomposed and then converted by QFD.…”

Section: Introductionmentioning

confidence: 99%

Bayesian Network Approach to Customer Requirements to Customized Product Model

Yang

Jiao

et al. 2019

Discrete Dynamics in Nature and Society

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Customizing products based on customer needs is an irreversible trend, and many companies strive to provide customized products to customers in less time. Customer requirements are a key factor in the company's ability to provide customized products. In order to better meet customer needs, solve the problem of incomplete and inaccurate expression, and improve the correlation between customized product performance and customer demand, a customized product method based on Bayesian network is proposed. First, the company built a custom product model based on Bayesian networks. According to the model, the customer selects some nodes and their related information. Then, we can accurately predict the final product model through the link tree algorithm, test the customer demand node to determine the focus of the customer's needs, and optimize the model. Finally, an example of a multifunctional nursing bed is used to illustrate the effectiveness of the method.

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“…Luo et al [1] propose a product design approach based on QFD for determining the optimal target levels of engineering characteristics with reference to CRs. Sheng et al [2] propose a method based on the House of Quality for mapping from CRs to technical weights and target values. Violante et al [3] propose an approach to obtain company-specific demands and determine the right features by integrating QFD with the Kano model.…”

Section: Introductionmentioning

confidence: 99%

Research on Product Optimization Design Method to Respond Rapidly to Customer Requirements

Li¹,

Wei²,

Feng³

2018

Chinese Journal of Engineering Science

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In the current highly competitive market environment, a critical success factor for enterprises is the ability to respond rapidly to customer requirements (CRs). This paper proposes a novel method to rapidly respond to CRs in product optimization design using fuzzy clustering and conjoint analysis-quality function deployment (CA-QFD). The approach we propose has two key characteristics. The first is classifying original complex CR data as a standard CR dataset with the fuzzy clustering method. The second is a new CA-QFD transformation method that integrates conjoint analysis with traditional QFD and can accurately transform CRs into product design attributes. Finally, to demonstrate the validity of the proposed method, we conduct a product optimization experiment by forging a machine's main hydraulic cylinder.

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Customer requirement modeling and mapping of numerical control machine

Cited by 12 publications

References 19 publications

Transforming Multidisciplinary Customer Requirements to Product Design Specifications

Transforming Multidisciplinary Customer Requirements to Product Design Specifications

Bayesian Network Approach to Customer Requirements to Customized Product Model

Research on Product Optimization Design Method to Respond Rapidly to Customer Requirements

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