A QFD-based approach to support sustainable product-service systems conceptual design

Sousa-Zomer, Thayla T.; Miguel, Paulo Augusto Cauchick

doi:10.1007/s00170-016-8809-8

Cited by 76 publications

(37 citation statements)

References 56 publications

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“…The dynamic change of CRs refers to the change of requirements that have been put forward by customers in terms of product functions, performance, and structure, including the addition, deletion, and modification of product functions and structures. Through the "requirement-structure" analysis method (such as QFD [28,29]), designers can complete the transformation of customer requirements to product characteristic parameters. Module and module characteristic values that require a variant design can be determined by product characteristic parameters.…”

Section: Customer Dynamic Requirements Acquisition and Transformationmentioning

confidence: 99%

Configuration Equilibrium Model of Product Variant Design Driven by Customer Requirements

et al. 2019

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In view of the dynamic change of customer requirements (CRs) during the process of product use, in this paper we propose a Bayesian Nash equilibrium configuration model for product variant design driven by CRs. By analyzing CRs, the complete variant requirements of the products can be obtained. Combined with modularization and parameterization variant design methods, a parametric variant instance is proposed. Since cost and delivery time are affected by the product variant design, firms and customers are established as two decision-making bodies, and Bayesian Nash theory is introduced to the product configuration. The theory takes the product cost and customer satisfaction as the payoff function of the game, and based on the threshold value search of the customer satisfaction it determines the strategy set of the two parties. The Nash equilibrium solution equation is established and solved by a simulated annealing algorithm. The optimal product configuration scheme satisfying the interests of both sides of the game is obtained. Finally, the automatic guided vehicle (AGV) is taken as an example to illustrate the effectiveness and practicability of the method.

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Section: Customer Dynamic Requirements Acquisition and Transformationmentioning

confidence: 99%

Configuration Equilibrium Model of Product Variant Design Driven by Customer Requirements

et al. 2019

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“…Personalized template based on a collaborative algorithm (Stormer, 2009) Considering the difference among users, but the parameters are still given from the perspective of product domain Dynamic acquisition system framework (Kreutler and Jannach, 2006;Miceli et al, 2007) Component toolbox (Von Hippel and Katz, 2002) Not suitable for complex product Fuzzy frame, fuzzy level analysis, KJ method, fishbone diagram, and kano model (Bamford and Greatbanks, 2005;He et al, 2015;Sousa-Zomer and Miguel, 2017).…”

Section: Model Frameworkmentioning

confidence: 99%

A personalized requirement identifying model for design improvement based on user profiling

Li¹,

Zhang²,

Wang³

et al. 2019

AIEDAM

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The personalization of products and services has become an inevitable trend in the manufacturing and service industry, but it is very difficult to identify users' personalized requirements accurately. This paper solves this problem by constructing an identifying model for personalized requirement based on user profiling. Firstly, the framework of the proposed model and the process of identifying the user's personalized requirements with this model are introduced, and then an experimental scheme for obtaining users' profiling data is designed. On this basis, an experiment is performed by investigating users' requirements for the computer to obtain the data, and the data are used for the analysis based on the proposed model. The analysis result shows that the model can reveal the difference among heterogeneous users well, find out the implicit requirements of users, and identify the gap between existing products and users' personalized requirements, which provides support to the subsequent improvement of product design.

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“…There are five main areas in QFD adapted in this study as the reference standard: "whats," "hows," relationships between "whats" and "hows," weight for each evaluation criterion, and evaluation criteria scores (Figure 2). QFD has been used successfully to support many areas such as strategic maintenance technique selection [48], upgrading the service quality of mobile banking [49], as professional skill indicators [50], service quality assessment design [51], PSS design [52], in advanced biofuel policies in which a novel method was applied [53], evaluation of the performance of industrial waste environmental service providers [54], and in monitoring the quality of ready-mixed concrete (RMC) [55].…”

Section: Building the Reference Standardmentioning

confidence: 99%

A Conceptual Framework for Metrics Selection: SMeS

Bukhari¹,

Yahaya²,

Deraman³

2018

Int. J. Adv. Sci. Eng. Inf. Technol.

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Measurement is an emerging field of software engineering. A systematic and efficient measurement process can assist in the production of quality government web applications since it can support planning, monitoring, and improving the software development process. The quality of software products is often measured using the metrics-based method. Various types of software metrics have been suggested in the last three decades to measure software quality, track software progress, estimate effort and certify software products. However, the process of identifying and determining a suitable software metrics is still lacking in term of guidance and structure. Without an effective method to evaluate and select suitable metrics, the time spent for selecting the correct and relevant metrics may offset the advantages of using them. In this paper, using the Evaluation Theory as the base theory and building upon the integration of Goal Question Metric (GQM) approach, a conceptual framework of software metrics selection (SMeS) was proposed. The main elements of the proposed conceptual framework include goal-based metrics selection process integrating with GQM, evaluation criteria, reference standard, and synthesis technic in decision making mechanisms. The integrated framework produces a software metrics selection process which is more structured, transparent, and directive in choosing a set of relevant metrics that may help the organizations' measurement program. The result from this study improves the existing metrics software selection model and serves as a guideline in implementing a clear and practical software metrics selection.

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A QFD-based approach to support sustainable product-service systems conceptual design

Cited by 76 publications

References 56 publications

Configuration Equilibrium Model of Product Variant Design Driven by Customer Requirements

Configuration Equilibrium Model of Product Variant Design Driven by Customer Requirements

A personalized requirement identifying model for design improvement based on user profiling

A Conceptual Framework for Metrics Selection: SMeS

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