Forthcoming and Online First Articles
International Journal of Product Development
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International Journal of Product Development (17 papers in press)
Abstract: Commonly referred to as data-driven product development, incorporating data science into product development to create value out of sensor data is a key challenge and involves unpredictability and invention risk. However, different studies in the current literature rely on different conceptualizations in this interdisciplinary research field, and the literature is scattered. To address this issue, this paper provides a review of recent academic literature on new product development (NPD) for the internet of things (IoT). The work reveals that distributed literature lacks a standardized process for guiding managers to handle the data product development process of smart products.
Keywords: Internet of Things; New Product Development; smart product; data science; sensors; data-intensive; data-based value creation.
Xtreme Design A new approach for virtual innovation
by Caroline Heins, Daniel Jarr, Cornelius Herstatt
Abstract: Existing research regarding innovation widely assumes physical, in-person exchange. This cannot be guaranteed during a global pandemic like COVID-19, where people must work remotely, and are limited to virtual collaboration. Our paper is based on an exploratory action research in a multinational corporate operating in the material handling industry. We present a case study combining innovation methods with remote delivery. The action research was conducted between March and July 2020, and resulted in a novel approach for virtual innovation, which we call the Xtreme Design method. It has two advantages over traditional innovation methods: teams can innovate in a virtual remote work environment, and it is fast and cost efficient. We present the model and its elements, as well as the set of practices designed to realize it. For practitioners, the paper provides evidence and insights about the use of Xtreme Design to support the implementation of virtual innovation processes.
Keywords: INNOVATION; CASE STUDY; MANAGEMENT TOOL; VALUE; COVID-19; DESIGN THINKING; VIRTUAL INNOVATION.
A set-based-inspired design process supported by axiomatic design and interactive evolutionary algorithms
by Mikael Ström, Krister Wolff, Jeremy Jean-Jean, Göran Gustafsson, Ola Isaksson, Hans Johannesson
Abstract: This paper presents an approach towards a set-based design-inspired concept development process for products with a solution space consisting principally of different solution alternatives and parameterised variants of these. The hypothesis is that such a concept development process can be based on traditional synthesis methods, an SBD-inspired elimination strategy, axiomatic design and interactive evolutionary algorithms (IEAs) for the synthesis of solution candidates and the successive reduction of the solution space. Axiomatic design and its axioms are used to evaluate and eliminate unfeasible alternatives, whereas IEAs, combined with human judgement, are employed for the evaluation and elimination of variants. Stated criteria specifying a design problem can be of different kinds with different ontologies described by different authors. This study focuses on functional, constraining and qualitative criteria. Results from performed industrial case studies show that the proposed method can reduce the lead time in design work.
Keywords: concept development; set-based design; axiomatic design; interactive evolutionary algorithms; qualitative criterion.
What Makes a Product Manager? A Dynamic Capabilities View of Product Management
by David Finch, Nadège Levallet
Abstract: Todays dynamic environments require constant product innovation and have led to significant changes in product development processes and the product management (PM) function. Despite its strategic importance, we still lack clarity about the competencies needed to succeed in a PM role, and educational opportunities are limited in undergraduate academic and professional development contexts. Consequently, this study uses a content analysis method to examine the extent to which competency resources, as well as contextual factors (i.e., firm size, age, sector), impact the PM function. We explore our research questions through a dynamic capabilities perspective. Findings demonstrate that an organizations desired resources when recruiting PMs are indeed influenced by contextual factors and that meta-skill resources predominate, followed by PM task-specific and domain resources. We contribute to research and practice by providing guidance to PM educators and trainers as well as developing a conceptual model for future research.
Keywords: Product Management;rnProduct Development;rnProfessional Development;rnEducation.
Quantifying and visualising wastes and losses in automotive production flows (across multiple plants and organisations) for increased accuracy in improvement prioritisations
by Malin Hane Hagström, Dag Bergsjö, Ashwin Sathyanarayana, Chrisler Machado
Abstract: Many companies are making use of continuous improvement in order to stay competitive. In businesses, the focus of continuous improvement efforts has often been on optimising the manufacturing processes within the companys own factory or scope of control. Therefore, they have not considered the impacts on and from other areas, because they have failed to see the entire system or manufacturing network of the enterprise. This paper is by using end end-to-end cost deployment identifying the major types of problems in an end-to-end production process within a large manufacturing firm to be able to guide the company how to direct their improvement efforts. The study is designed as a retrospective longitudinal case study using field data which was intended to be a representative flow within the heavy automotive industry. The study shows that, after normalisation, manual operating waste, planned maintenance and machine breakdowns are significant cost factors for the process studied, regardless of the size of the organisation or the complexity of the product.
Keywords: cost deployment; prioritisation; continuous improvement; lean manufacturing.
Review of Models and Frameworks for Set-Based Design
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
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.
Special Issue on: AI/Machine Learning Techniques as a Tool for Process Modelling and Product Design
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.
Special Issue on: Smart Products
by Rui Zhang, Fang Liu, Cheng Wang
Abstract: Aiming at the problems of long operation time, high operation error rate and low user satisfaction in traditional methods, this paper proposes an interactive method of digital fitness equipment based on machine learning. Firstly, the paper designs an interactive platform for digital fitness equipment to collect user data. Then, the consistent convergence model is used to adjust the user's human-computer interaction requirements, the machine learning algorithm is used to design the digital fitness equipment, and the adaptive controller is used to control the user's human-computer interaction behavior. Finally, the human-computer interaction interface of digital fitness equipment is designed. The experimental results prove that the interactive interface operation time measured by the design method is short, the shortest time is only 2.51s; The error rate range of interactive interface operation is 0-0.7%, and user satisfaction is high, indicating that this method has a better application effect.
Keywords: machine learning; human-computer interaction; digital fitness equipment; consistent convergence; adaptive controller.
The 3D Animation Display of Smart Products Based on Hanoi Tower Recursive Algorithm
by Qiong Wang
Abstract: In the process of using traditional methods to display smart product 3D animation, the image is not preprocessed, resulting in poor animation display effect and low efficiency. Therefore, a smart product 3D animation display method based on the Hanoi Tower recursive algorithm is proposed. Using the weighted average method to grayscale the 3D image of the smart product, obtain the grayscale image, and combine the Harris corner detection method to extract the image feature points, and reconstruct the 3D image of the smart product based on the feature extraction results. The Hanoi Tower recursive algorithm is used to construct a 3D animation display model to realize the 3D animation display of smart products. The simulation results show that the 3D animation display image of the smart product of this method has higher clarity, higher display effect and higher display efficiency.
Keywords: Hanoi Tower; Recursive algorithm; Smart products; 3D animation display; Graying processing; Harris corner detection.
A fault diagnosis method of intelligent electronic equipment based on dynamic fusion
by Jun Qian, Kaijun Nie
Abstract: In order to overcome the problems of low accuracy of fault data extraction and long diagnosis time, a fault diagnosis method of intelligent electronic equipment based on dynamic fusion is proposed. Convolution neural network and long-term and short-term memory neural network are dynamically fused to extract the characteristic parameters of intelligent electronic equipment based on neural network. Combined with the principle of feature collection, the fault information of intelligent electronic equipment is collected, the covariance matrix of data noise data is constructed, the key noise is extracted, the noise reduction of fault data is completed, and the fault diagnosis of intelligent electronic equipment is carried out according to the results of fault information fusion and fuzzy kernel c-means clustering. The experimental results show that the highest accuracy of fault data extraction is about 95%, and the shortest time of sample fault data extraction is about 0.5s.
Keywords: Dynamic fusion; Intelligent electronic equipment; Noise interference degree; Fuzzy kernel c-means clustering; fault diagnosis.
Appearance design defect detection of rigid plastic products based on geometric feature extraction
by Jiang-lin Hua, Yuan-sheng Liu
Abstract: In order to overcome the problem of low geometric feature extraction accuracy and defect detection accuracy of traditional appearance design defect detection methods, a new appearance design defect detection method of rigid plastic products based on geometric feature extraction is proposed in this paper. This method first analyzes the types of design defects of rigid plastic products, and then extracts the defect area, the length and width of the defect area, the gradient characteristics and shape characteristics of the defect area. Based on the geometric feature extraction results, combined with Gaussian Laplace algorithm, the appearance design defects of rigid plastic products are detected. The experimental results show that compared with the traditional design defect detection methods, this method can accurately extract the geometric features of defects, so as to obtain more accurate defect detection results, and the maximum defect detection accuracy can reach 97%.
Keywords: Geometric feature extraction; Hard plastic products; Appearance design; defect detection.
Expression capture of virtual reality equipment based on expression weighted distance SLLE
by Shuitian Yan
Abstract: In order to overcome the problems of long time-consuming and high error in traditional expression capture methods, an expression capture method for virtual reality devices based on expression weighted distance SLLE is proposed. The LM algorithm is used to generate the virtual viewpoint of facial expression, and the adaptive weighted LDP method is used to process the facial expression features, remove the redundant information and retain the key features of the image. Considering the differences between different image types and viewpoints, the weighted distance SLLE method is used to capture facial expression images. Experimental results show that this method can effectively capture the viewpoint in facial expression, and the time is short and the expression capture error is small.
Keywords: expression weighted distance SLLE; virtual reality equipment; adaptive weighting; face viewpoint.
Double fingerprint accurate identification method of intelligent door lock based on spatio-temporal information feature fusion
by Liuping Cai, Fenghui Huang
Abstract: Aiming at the problems of low recognition accuracy and large feature extraction error in the dual fingerprint recognition of intelligent door lock, a dual fingerprint accurate recognition method of intelligent door lock based on spatio-temporal information feature fusion is proposed. Set the standardized form of dual fingerprint image, calculate the gray mean and variance of fingerprint image, and complete fingerprint image preprocessing; According to the coordinate relationship of the dual fingerprint direction field of the intelligent door lock, the dual fingerprint block of the intelligent door lock is divided, and the feature extraction is completed by solving the gradient value of the dual fingerprint block. The temporal and spatial features of fingerprint images are fused, and the fusion results are corrected with the help of calibration function to complete accurate fingerprint identification. The results show that the recognition accuracy of the proposed method is good.
Keywords: spatiotemporal information feature fusion; Intelligent door lock; Double fingerprint; Equalization; Calibration function.
A real-time acquisition method of local change features of 3D animation considering product design
by Weijia Chai, Zhiqiang Yue
Abstract: In order to improve the poor matching effect of traditional feature acquisition methods, a real-time feature acquisition method of 3d animation local changes considering product design is proposed in this paper. Firstly, the local variation characteristics of the animation are described according to the product design concept. Then, the information transferred in the design of the product is analyzed, and the anti-noise ability of the change feature descriptor is fitted by gaussian difference function. Finally, the expression factor of product appearance is transformed into the extreme point information of the change feature, and the extreme point equation of the local change feature is obtained. The real-time collection of local variation features is realized by considering product design rules. The results show that the matching effect of the proposed method is 200 dimensions higher than that of traditional methods, and the recognition rate is 40%~10% higher than that of traditional methods.
Keywords: product design; 3D animation; Local variation characteristics; Real-time acquisition; Data collection; Sampling method.
Research on secure storage data access control of smart TV based on blockchain
by Jianxin Qiu
Abstract: In order to solve the problems of low data security, access control accuracy and long data query time existing in traditional data access control methods, this paper proposes a secure storage data access control of smart TV based on blockchain. Firstly, the naive Bayesian algorithm is used to calculate the posterior probability according to the data safety level; Secondly, the category corresponding to the maximum posterior probability is regarded as the category of the data, and the data classification is realized by iterative calculation; Finally, on the basis of data classification, different categories of smart TV secure storage data access control are realized through ciphertext encryption, data decryption, access policy update and other steps based on blockchain. Experimental results show that the method has high data security, the average accuracy of data access control is 96.3%, and the data query time is always less than 0.5s.
Keywords: Blockchain; Smart TV; Secure storage of data; Access control; Naive Bayesian algorithm; Ciphertext encryption; Data decryption.
A Color Enhancement Method of Plane Image Based on the Interactive Interface of Mobile Smart Devices
by Jianjun Wang
Abstract: When using the existing methods to enhance the image color of the interactive interface of mobile intelligent devices, there are some problems, such as long enhancement time, easy to produce image distortion and so on. Therefore, a color enhancement method for planar image of interactive interface of mobile intelligent device is proposed. The target image is collected by image sensor, the plane image is transformed from high-dimensional subspace to low-dimensional subspace, the linear map is established, the projection distance between each single pixel in the image to be processed is obtained, and the image is processed by local dimension reduction method to complete the preprocessing; The histogram method is used to adaptively adjust the dark area in the interface, and the enhancement is completed by mapping function and median filter method. The results show that this method has low image distortion rate and short time in image enhancement processing.
Keywords: mobile smart device; interactive interface; plane image; color enhancement; image acquisition.