scholarly journals A DATA-DRIVEN APPROACH TO USER-EXPERIENCE-FOCUSED MODEL-BASED ROADMAPPING FOR NEW PRODUCT PLANNING

2021 ◽  
Vol 1 ◽  
pp. 61-70
Author(s):  
Ilia Iuskevich ◽  
Andreas-Makoto Hein ◽  
Kahina Amokrane-Ferka ◽  
Abdelkrim Doufene ◽  
Marija Jankovic
Keyword(s):  
New Product Development ◽  
User Experience ◽  
Planning Process ◽  
New Product ◽  
Data Driven ◽  
User Needs ◽  
User Testing ◽  
Model Based ◽  
Data Driven Approach ◽  
To Receive

AbstractUser experience (UX) focused business needs to survive and plan its new product development (NPD) activities in a highly turbulent environment. The latter is a function of volatile UX and technology trends, competition, unpredictable events, and user needs uncertainty. To address this problem, the concept of design roadmapping has been proposed in the literature. It was argued that tools built on the idea of design roadmapping have to be very flexible and data-driven (i.e., be able to receive feedback from users in an iterative manner). At the same time, a model-based approach to roadmapping has emerged, promising to achieve such flexibility. In this work, we propose to incorporate design roadmapping to model-based roadmapping and integrate it with various user testing approaches into a single tool to support a flexible data-driven NPD planning process.

A Comparison Between Model-Based and Data-Driven Design of an Active Stability Control System for Two-Wheeled Vehicles

2011 ◽  
Author(s):  
Pierpaolo De Filippi ◽  
Simone Formentin ◽  
Sergio M. Savaresi
Keyword(s):  
Control System ◽  
Strong Interaction ◽  
High Speed ◽  
Stability Control ◽  
Data Driven ◽  
Output Controller ◽  
Model Based ◽  
Data Driven Approach ◽  
Stability Control System ◽  
Wheeled Vehicles

The design of an active stability control system for two-wheeled vehicles is a fully open problem and it constitutes a challenging task due to the complexity of two-wheeled vehicles dynamics and the strong interaction between the vehicle and the driver. This paper describes and compares two different methods, a model-based and a data-driven approach, to tune a Multi-Input-Multi-Output controller which allows to enhance the safety while guaranteeing a good driving feeling. The two strategies are tested on a multibody motorcycle simulator on challenging maneuvers such as kick-back and strong braking while cornering at high speed.

Prognostics of Embedded Planar Capacitors Under Temperature and Voltage Aging

2010 ◽  
Author(s):  
Mohammed A. Alam ◽  
Michael H. Azarian ◽  
Michael Osterman ◽  
Michael Pecht
Keyword(s):  
Elevated Temperature ◽  
Mahalanobis Distance ◽  
Failure Modes ◽  
Gradual Decrease ◽  
Data Driven ◽  
Time To Failure ◽  
Insulation Resistance ◽  
Sharp Drop ◽  
Model Based ◽  
Data Driven Approach

This paper presents the application of model-based and data-driven approaches for prognostics and health management (PHM) of embedded planar capacitors under elevated temperature and voltage conditions. An embedded planar capacitor is a thin laminate that serves both as a power/ground plane and as a parallel plate capacitor in a multilayered printed wiring board (PWB). These capacitors are typically used for decoupling applications and are found to reduce the required number of surface mount capacitors. The capacitor laminate used in this study consisted of an epoxy-barium titanate (BaTiO3) composite dielectric sandwiched between Cu layers. Three electrical parameters, capacitance, dissipation factor, and insulation resistance, were monitored in-situ once every hour during testing under elevated temperature and voltage aging conditions. The failure modes observed were a sharp drop in insulation resistance and a gradual decrease in capacitance. An approach to model the time-to-failure associated with these failure modes as a function of the stress level is presented in this paper. Model-based PHM can be used to predict the time-to-failure associated with a single failure mode, consisting of a drop in either insulation resistance or capacitance. However, failure of an embedded capacitor could occur due to either of these two failure modes and was not captured using a single model. A combined model for both these failure modes can be developed but there was a large variance in the time-to-failure data of failures as a result of a sharp drop in insulation resistance. Therefore a data-driven approach, which utilizes the trend and correlation between the parameters to predict remaining life, was investigated to perform PHM. The data-driven approach used in this paper is the Mahalanobis distance (MD) method that reduces a multivariate data set to a single parameter by considering correlations among the parameters. The Mahalanobis distance method was successful in predicting the failures as a result of a gradual decrease in capacitance. However, prediction of failures as a result of a drop in insulation resistance was generally challenging due to their sudden onset. An experimental approach to address such sudden failures is discussed to facilitate identifying any trends in the parameters prior to failure.

The User Research in New Product Development

2008 ◽  
Vol 44-46 ◽  
pp. 619-626
Author(s):  
Zhao Hui Huang ◽  
W. Su
Keyword(s):  
Sustainable Development ◽  
New Product Development ◽  
Product Life Cycle ◽  
New Technology ◽  
New Product ◽  
Point Of View ◽  
User Needs ◽  
Innovative Product ◽  
User Research ◽  
Design Characteristics

Today, people have gradually realized that when we use new technology to create more comfortable life, it has paid a heavy environmental price. Therefore, we began to estimate our social development and design innovations with sustainable development thought. This paper seeks to find the source of the product life cycle, based on user needs as the research object, from the point of view as politics, economy, culture, lifestyle and many other aspects. Innovative product design characteristics of sustainable development are exlplored in depth, so that the products we designed, in a globalized competition environment, can live in harmony with the society and environment, meet people's needs, and at the same time, compete in the market with unique charm.

Longitudinal Study of Learning Outcomes in a New Product Development Class

2007 ◽  
Author(s):  
Corie L. Cobb ◽  
Alice M. Agogino ◽  
Sara L. Beckman
Keyword(s):  
Longitudinal Study ◽  
Product Development ◽  
Learning Outcomes ◽  
New Product Development ◽  
Work Experience ◽  
New Product ◽  
Lessons Learned ◽  
Team Work ◽  
User Needs ◽  
Concept Generation

This paper reports on a longitudinal study of lessons learned from a graduate-level New Product Development course taught at the University of California at Berkeley, comparing lessons learned by students during the course with alumni perceptions one to ten years after graduation. Previous research on student learning outcomes in New Product Development (NPD) found that on the last day of class students identify working in multifunctional teams and understanding user needs as their most important lessons learned. This study raises the question of whether or not students maintain the same emphasis on learning outcomes once they have moved on to careers in industry. To answer this question, we conducted 21 in-depth interviews with alumni who took the course between 1995–2005 and are now working in industry. A qualitative and quantitative analysis of the alumni interviews reveals that former students still highly value what they learned about team work and understanding user needs, but see more value in tools for concept generation, prototyping, and testing after gaining work experience. The results reaffirm the value of engaging students in multidisciplinary design projects as a vehicle for developing the professional skills needed in today’s competitive new product development environment.

scholarly journals Shifting Innovation to Users via Toolkits

2002 ◽  
Vol 48 (7) ◽  
pp. 821-833 ◽  
Author(s):  
Eric von Hippel ◽  
Ralph Katz
Keyword(s):  
New Product Development ◽  
Development Process ◽  
Lower Cost ◽  
Traditional Approach ◽  
New Product ◽  
Product Development Process ◽  
Service Development ◽  
User Needs ◽  
User Innovation ◽  
Alternative Approach

In the traditional new product development process, manufacturers first explore user needs and then develop responsive products. Developing an accurate understanding of a user need is not simple or fast or cheap, however. As a result, the traditional approach is coming under increasing strain as user needs change more rapidly, and as firms increasingly seek to serve “markets of one.” Toolkits for user innovation is an emerging alternative approach in which manufacturers actually abandon the attempt to understand user needs in detail in favor of transferring need-related aspects of product and service development to users. Experience in fields where the toolkit approach has been pioneered show custom products being developed much more quickly and at a lower cost. In this paper we explore toolkits for user innovation and explain why and how they work.

Adaptive Text Extraction for New Product Development

2009 ◽  
Author(s):  
Thomas Y. Lee
Keyword(s):  
Product Development ◽  
New Product Development ◽  
Quality Function Deployment ◽  
New Product ◽  
User Needs ◽  
Product Reviews ◽  
Concept Generation ◽  
Product Attributes ◽  
Traditional Methods ◽  
Text Extraction

The first step in product design and development involves concept generation. Concept generation involves identifying customer needs and then mapping those needs onto a set of product attributes (specifications). Traditional methods for concept generation involve focus groups, surveys, and anthropological studies to assess user needs. Techniques, like Quality Function Deployment (QFD), then guide designers in relating needs to explicit product specifications. In this paper, we propose to augment traditional methods for concept generation by automatically processing user generated online product reviews. We apply adaptive text extraction methods to automatically learn user needs and product attributes. Association rule mining is used to learn the mapping between needs and attributes. We summarize results from prior work for independently learning user needs and attribute specifications from product reviews and then discuss the application of these methods to concept generation for new product development.

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