scholarly journals AN EXPERIMENT-DRIVEN MASS-PERSONALISATION MODEL: APPLICATION TO SAXOPHONE MOUTHPIECE PRODUCTION

2020 ◽  
Vol 1 ◽  
pp. 1037-1046 ◽  
Author(s):  
M. Ozdemir ◽  
G. Cascini

AbstractMass-personalization (MP) presents an opportunity to meet diversifying customer needs in consumer products market with a near mass-production efficiency. Traditional product development methodologies fall short to guide design for MP and a dedicated systematic methodology is essential. The proposed approach bases on a dynamic product template that automatically adapts with user input and produces a reliable output. This paper presents the workflow towards mass-personalization of saxophone mouthpieces with focus on design automation.

Author(s):  
Daniel A. McAdams ◽  
Robert B. Stone ◽  
Kristin L. Wood

Abstract In this paper, related product functions are determined for a group of approximately 70 consumer products. Using customer need data, a new matrix approach is introduced to identify these relationships. Techniques are then created for determining product similarity. These techniques are clarified and validated through three case studies, including beverage brewers and material-removal products. The results of these case studies are argued to have significant impact on design-by-analogy procedures, benchmarking methods, mass customization strategies, and modular design. The paper concludes with a discussion of applications and related procedures for product development.


2019 ◽  
Vol 109 (09) ◽  
pp. 622-627
Author(s):  
P. Burggräf ◽  
M. Dannapfel ◽  
T. Adlon ◽  
A. Riegauf ◽  
K. Müller ◽  
...  

Produzierende Unternehmen intensivieren aufgrund zunehmend volatiler Kundenbedürfnisse die Anwendung agiler Produktentwicklungsansätze. Ziel des Beitrags ist die Einführung eines Konzepts zur Befähigung dieser dynamischen Produktentwicklung in der Montage. Der integrative Lösungsansatz basiert auf der wirtschaftlichen Optimierung des Agilitätsgrades von Montagesystemen sowie dem selektiven Einsatz agiler Methoden in der traditionell plangetriebenen Montageplanung als Teil der Fabrikplanung.   To meet more volatile customer needs, manufacturing companies increasingly make use of agile product development approaches. This article aims to introduce a concept to enable for dynamic product development in assembly. This integrative solution approach is based on the economic optimization of the degree of agility of assembly systems and on the selective use of agile methods in traditional, plan-driven assembly planning as part of factory planning.


Author(s):  
Timothy J. Hoffman ◽  
Steven B. Shooter ◽  
Simon Szykman ◽  
Steven J. Fenves

Abstract A study of product development practices at a major consumer product manufacturer, referred to as Company X, was undertaken to compare its methods to an earlier effort in modeling the flow of information in product design, referred to as the Design Information Flow Model. The model considers the recognized need in industry for the seamless capture, storage, and retrieval of design information. The research at Company X focused on the front end of product design, that is, the conceptual phase. It was learned that design, as defined by the Information Flow Model, is well represented at the front end of the company’s design process. However, this validation effort succeeded in uncovering certain voids, particularly in later states of the model. It was also learned that product documentation quality and quantity at Company X vary from project to project, indicating an important aspect to consider in our efforts to enhance computer-aided product design is the user.


2014 ◽  
Vol 2014 ◽  
pp. 1-18 ◽  
Author(s):  
Yu-Jie Zhao ◽  
Xin-xing Luo ◽  
Li Deng

In the fierce market environment, the enterprise which wants to meet customer needs and boost its market profit and share must focus on the new product development. To overcome the limitations of previous research, Chan et al. proposed a dynamic decision support system to predict the customer lifetime value (CLV) for new product development. However, to better meet the customer needs, there are still some deficiencies in their model, so this study proposes a CBR-based and MAHP-based customer value prediction model for a new product (C&M-CVPM). CBR (case based reasoning) can reduce experts’ workload and evaluation time, while MAHP (multiplicative analytic hierarchy process) can use actual but average influencing factor’s effectiveness in stimulation, and at same time C&M-CVPM uses dynamic customers’ transition probability which is more close to reality. This study not only introduces the realization of CBR and MAHP, but also elaborates C&M-CVPM’s three main modules. The application of the proposed model is illustrated and confirmed to be sensible and convincing through a stimulation experiment.


2017 ◽  
Vol 45 (2) ◽  
pp. 25-32 ◽  
Author(s):  
Chandler Hatton ◽  
Michael Kolk ◽  
Martijn Eikelenboom ◽  
Mitch Beaumont

Purpose Offer a new model for identifying effective approaches to gathering, understanding and synthesizing information related to new product needs of B2B customers. Design/methodology/approach Arthur D. Little, together with the Eindhoven University of Technology, conducted in-depth interviews with over 30 product development leaders in 15 companies across multiple sectors. Findings When the team interacting with customers is structured appropriately the research showed that “getting it right” can lead to doubling of innovation success rates and have significant impact on R&D effectiveness. Practical implications By identifying the degree to which B2B customer needs are clear (expressed) or unclear (latent) and the degree to which technology needs are known (expressed) or unclear (latent), we can start to characterize the most appropriate skill set that a multifunctional product development team will need in order to develop a winning product. Originality/value Companies can use an innovative analysis framework to help make informed decisions about how best to organize their teams. The four approaches can be mapped to the four quadrants of a “Customer Needs/Technology Needs” matrix. The study concludes that the benefits are both strategically and financially significant.


Author(s):  
David L. Jones ◽  
Roberto Champney ◽  
Par Axelsson ◽  
Kelly Hale

A primary goal of the usability evaluation process is to create interfaces that can be seamlessly integrated into current processes and create an enjoyable experience for the user. Given this, it is critical to capture user input to effectively drive product development and redesign. While many methods are available to usability practitioners, this paper highlights three techniques that can be used to substantially enhance usability evaluation output. Specifically this paper presents a method to utilize focus groups, emotional profiling and Kano analysis methods in combination to define user needs, expectations, and desires, provide an explanation of why features of a product are liked or disliked, as well as add additional structure to the prioritization of usability shortcomings and related redesign recommendations. A background on each method, the process for implementing them into usability analyses, and guidelines for successful use are provided for usability practitioners.


2011 ◽  
Vol 14 (2) ◽  
pp. 154-172 ◽  
Author(s):  
A. M. M. Sharif Ullah ◽  
Jun'ichi Tamaki

2004 ◽  
Vol 127 (3) ◽  
pp. 397-407 ◽  
Author(s):  
Robert B. Stone ◽  
Irem Y. Tumer ◽  
Michael Van Wie

To succeed in the product development market today, firms must quickly and accurately satisfy customer needs while designing products that adequately accomplish their desired functions with a minimum number of failures. When failure analysis and prevention are coupled with a product’s design from its conception, potentially shorter design times and fewer redesigns are necessary to arrive at a final product design. In this article, we explore the utility of a novel design methodology that allows failure modes and effects analysis (FMEA)-style failure analysis to be conducted during conceptual design. The function-failure design method (FFDM) guides designers towards improved designs by predicting likely failure modes based on intended product functionality.


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