Forthcoming and Online First Articles

International Journal of Product Development

International Journal of Product Development (IJPD)

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International Journal of Product Development (8 papers in press)

Regular Issues

  • Review of Models and Frameworks for Set-Based Design   Order a copy of this article
    by Mayara Silvestre De Oliveira, Fernando Forcellini, Jaime Lozano, Jader Riso Barbosa Jr. 
    Abstract: This paper aims to investigate the state-of-the-art in models and frameworks for set-based design and identify the main gaps and contributions in the literature. As a result, 121 models were analysed. Most models are quantitative, computational, engineering design-oriented, and focus on early stages. Although the narrowing down process plays a central role in the set-based design, very little is addressed regarding its management processes. No model was found describing the inputs and outputs of the set-based design and the narrowing down process simultaneously. Thus, knowledge is dispersed and focused on specific parts. The relevance of this study relies on providing a comprehensive investigation of the state-of-the-art, identifying opportunities to advance in this study field, and providing recommendations for future works seeking to support the development of new methods for implementing and managing set-based design, enabling and encouraging its adoption.
    Keywords: set based design; lean; product development; lean design; literature review; narrowing down process; concurrent engineering; model; framework; strategy.

  • A Formal Consideration of User Tactics During Product Evaluation in Early-Stage Product Development   Order a copy of this article
    by Trent Owens, Christopher Mattson, Carl Sorensen, Michael Anderson 
    Abstract: Frequent and effective design evaluation is foundational to the success of any product development effort. Products used, installed, or otherwise handled by humans would benefit from an evaluation of the product while formally considering both the physical embodiment of the technology, termed technology, and the steps a user should take to use that technology, termed tactics. Formal and simultaneous evaluations of both technology and tactics are not widespread in the product design literature. Although informal evaluation methods have advantages, formal methods are also known to be effective. In this paper we propose a formal method for evaluating tactics and technology simultaneously. Unlike the published literature, this evaluation involves explicitly defined tactics in the form of a written description of the actor, environment, and series of steps. It also involves the use of stage-appropriate, explicitly defined tactics-dependent criteria, which include criteria from a broad range of impact categories, such as impacts on the user, environment, project, and technology.
    Keywords: Conceptual Design Evaluation; Tactics Evaluation; Human-Centered Design; Human Factors.

  • Study on evaluation method of human-computer interface quality of intelligent products based on Bayesian classification   Order a copy of this article
    by Jinrong Li  
    Abstract: Starting from effectively improving the evaluation accuracy and efficiency of the quality of the interactive interface of intelligent products, this paper proposes a method for evaluating the quality of the interactive interface of intelligent products based on Bayesian classification. An adaptive Gaussian filter is introduced to adjust the color of the interactive interface of intelligent products through logarithmic operators, and the interactive interface of intelligent products is formally described. The Bayesian classification method is used to build an evaluation model for the quality of the interactive interface of intelligent products, and the quality of the interactive interface of intelligent products is evaluated according to the Bayesian classification probabilistic inference mechanism. The experimental results show that the mean saliency of the proposed method is as high as 95.7%, the recognition accuracy rate reaches 96.4%, and the evaluation time is only 7.2s, which has a good evaluation effect.
    Keywords: Bayesian classification; adaptive Gaussian filter; intelligent product; human-computer interaction interface; quality assessment.
    DOI: 10.1504/IJPD.2023.10058408
     
  • Prediction method of product market demand based on Prophet random forest   Order a copy of this article
    by Chaoyong Jia  
    Abstract: This paper proposed a prediction method of product market demand based on Prophet random forest. On the basis of analyzing the workflow of Prophet model and the forest generation and decision-making process of random forest algorithm, the raw data of product market are preprocessed through the process of data filling, feature standardization and feature mapping. Then, the optimal subset selection algorithm is used to extract the product market demand characteristics, and the demand characteristics are input into Prophet random forest to realize the prediction of product market demand. The experimental results show that the prediction accuracy of the proposed method is 0.969, and the maximum prediction time in the experiment is only 14.9s, and the waveform trend of the predicted result is roughly the same as that of the actual value, which highlights the effectiveness of the proposed method.
    Keywords: Prophet model; Random forest algorithm; Optimal subset selection algorithm; Product market demand; Demand forecast.
    DOI: 10.1504/IJPD.2023.10058409
     
  • Fuzzy edge detection method of product packaging image based on Kalman filter   Order a copy of this article
    by Ruifang Xing, Jingjing Feng, Yayun Fan 
    Abstract: In order to improve the quality, effect and efficiency of fuzzy edge detection of product packaging image, a fuzzy edge detection method of product packaging image based on Kalman filter is designed. Firstly, singular value decomposition algorithm is used to remove the noise of product packaging image. Then the Fourier spectrum of the product packaging image is obtained by FFT operation, and the image blur parameters are quickly identified. Finally, the image fuzzy edge is processed by Kalman filter to realize image fuzzy edge detection. The experimental results show that the detection signal-to-noise ratio of the proposed method is as high as 61.5db, the quality factor is as high as 0.97, and the detection time is short, only 19.7s. It can be proved that the proposed method can effectively improve the quality and efficiency of fuzzy edge detection of product packaging image.
    Keywords: Kalman filter; singular value decomposition; FFT; product packaging image; fuzzy edge detection.
    DOI: 10.1504/IJPD.2023.10058410
     
  • Color matching method of product interactive interface based on user experience   Order a copy of this article
    by Yun Xu 
    Abstract: In this paper, a color matching method of product interactive interface based on user experience is proposed. Firstly, the color matching visual information of product interaction interface is collected in the adjacent block area. According to the visual information collection results, the color matching element features of product interaction interface are extracted by wavelet transform. Secondly, the RGB feature decomposition model of color matching elements in product interaction interface is established to complete the visual information fusion of color matching in product interaction interface; Finally, considering the user experience, the color matching reconstruction model of product interactive interface is constructed to realize the color matching of product interactive interface. The experimental results show that the proposed method has high color gamut coverage and image signal-to-noise ratio, high user experience satisfaction, and good color matching quality and effect of product interaction interface.
    Keywords: User experience; Visual information fusion; Wavelet transform; Product interaction interface; Color matching.
    DOI: 10.1504/IJPD.2023.10058412
     
  • The deep Mining of Consumer Behavior Data on Product Network Marketing Platform   Order a copy of this article
    by Chunming Yu, Xin Jin 
    Abstract: To overcome the problems of low accuracy of behavior analysis results and low purchase proportion in traditional methods, a deep mining method of consumer behavior data on product network marketing platform is proposed. Firstly, according to the nearest neighbor data distribution, the relevant subspace of consumer behavior data of product e-marketing platform is divided, and the sparsity difference of relevant subspace data in each attribute is calculated. Then, the filtering of outlier interference data is completed by setting the difference threshold of local sparsity factor. Finally, the multi-source data mining method is used to analyze the difference between the data attribute weight and the target weight of each attribute behavior, so as to realize the in-depth mining of consumer behavior data. Test results show that the maximum error of consumer behavior analysis of the design method is only 1, and the purchase proportion after secondary marketing reaches 10.2%
    Keywords: Network marketing platform; Consumer behavior data; Deep mining; Nearest neighbor data; Local sparse factor; Outlier data.
    DOI: 10.1504/IJPD.2023.10058413
     

Special Issue on: AI/Machine Learning Techniques as a Tool for Process Modelling and Product Design

  • Color offset compensation method of product packaging image based on color difference interpolation   Order a copy of this article
    by Zhao Lan 
    Abstract: In order to effectively improve the accuracy of image color offset compensation and reduce the compensation time, a color offset compensation method based on color difference interpolation is proposed in this paper. Based on bilinear chromatic aberration interpolation algorithm, the full resolution chromatic aberration signal of image is estimated preliminarily. After image filtering, the basic color data and gray balance data of the image are compared to obtain the color offset. Taking color block as the minimum unit of deviation compensation, the average value of extended color level interpolation was added to the single color level of the calibrated image to complete color offset compensation. Experimental results show that the maximum compensation time of the proposed method is only 29.6s, and the maximum MSE value of the compensation result is only 0.179, indicating that the proposed method has higher compensation accuracy.
    Keywords: Chromatic interpolation algorithm; Linear filtering; Product packaging image; Color offset compensation.