scholarly journals Workplace to support the teamwork in the early stages of the product development process

2004 ◽  
Vol 5 (2) ◽  
pp. 181-187
Author(s):  
Andreas M. Kunz ◽  
Thomas Kennel ◽  
Andrea Mazzone ◽  
Stephan Müller
2021 ◽  
Vol 1 ◽  
pp. 851-860
Author(s):  
Tristan Briard ◽  
Camille Jean ◽  
Améziane Aoussat ◽  
Philippe Véron ◽  
Julie Le Cardinal ◽  
...  

AbstractWith the rapid development of digital technologies, products connectivity is increasing as well as the data produced and collected. Forecasts on product development predict that this trend will keep on growing. In this context, new design solutions based on data are emerging. Those data-driven design approaches are common for identifying the customers' need when developing a new product. However, few studies cover data-driven design in the other early stages of product design. Thus, the research question addressed in this paper is: what are the challenges of data-driven design research in the early phases of the product development process? Through a literature review and a workshop proposed at the conference DESIGN 2020, this paper offers a first glimpse of future research leads. A list of 5 challenges for data-driven design in the early stages of product design is proposed and ranked from short term to long term.


Author(s):  
Hong Jia ◽  
Christopher A. Mattson ◽  
Gabrielle Johnson

Abstract Besides the explicit economic and environmental impacts, the product development process also produces an implicit social value — known as social impact. To help product designers better understand and plan for the social impact that their product may have, we present a social impact checklist table. This checklist table was constructed after a simple study was conducted on the design and reuse of corrugated cardboard. The checklist table provides the designer the opportunity to more deeply consider eleven social impact categories, map those categories to key indicators, and ultimately design parameters that influence social impact. We introduce this checklist table at the early stages of the product development process, aiming to make the otherwise implicit notion of social impact more explicit and recognizable. The checklist table has the potential to make the social dimension of sustainability more accessible to design engineers; they can then better conceive of sustainable solutions and create products that generate positive social impact.


2019 ◽  
Vol 18 (04) ◽  
pp. 1950047 ◽  
Author(s):  
Marcelo Seido Nagano ◽  
Antonio Iacono

The purpose of this paper is to analyse the relationship between eco-innovation process and knowledge management (KM) from the perspective of tools and practices, in the initial stages of the product development process. Knowledge management can help to develop behaviours and practices that stimulate green knowledge and improve organisations’ eco-innovation performance. The analysis of the relationship between eco-innovation process and knowledge management in the initial stages of the product development process was performed using three tools: the Standard Design Process Form (SDPS), The STRETCH Methodology and the Product Ideas Tree (PIT) Diagram. The results show that the eco-innovation tools contribute significantly to the creation of knowledge in the early stages of the product development process, as evidenced in the selection of the best ideas and in the reduction of uncertainties on environmental and market opportunities.


Author(s):  
Lukas S. F. Ruecker ◽  
Warren P. Seering

Abstract In our research we have focused on capturing design rationale — that is, the reasons that underlie design decisions — during the early stages of the product development process. Capturing rationale is important because it allows others to understand decisions, make changes, and review a conclusion in the light of new information. In this paper we describe a well-grounded computer-supportable approach to capturing rationale in an engineering setting. At the heart of this approach is a computationally efficient and dynamically extensible representation of the context in which design decisions are made. We also describe a program that uses this representation to automatically chunk, classify, and integrate explanations offered by engineers when justifying design decisions.


2018 ◽  
Vol 10 (3) ◽  
pp. 385-412 ◽  
Author(s):  
Fatimaezzahra Fouad ◽  
Amina Tourabi ◽  
Ghizlane Lakhnati

PurposeIn the presence of a low rate of investment in research and development in the fish industry, the Moroccan government launched in 2009 a new fisheries program which directs fish processing companies towards a non-price competitiveness strategy. These companies are driving to establish a modernized value chain that supports product innovation in its performance generation. This study therefore aims at measuring the impact of this value chain on the performance of a new product taking into account the early stages of development, namely prototyping.Design/methodology/approachFirst, the authors tried to collect the data in a dichotomous qualitative form for the structure of the innovation process which reflects the measure of elapsed time for each stage of the innovation process in the two cases, namely, sequentiality and parallelism of the steps. The authors then addressed a second time to the quality managers to provide them with quantitative data. Nevertheless, the evaluation of the improvement of the innovative product had remained qualitative.FindingsThe study shows that there is a positive and significant relationship between the partially parallel structure and the internal improvement objectives of the new prototype.Research limitations/implicationsThe main limitation of this study was the very small sample of firms operating in innovation, which did not allow us to apply a parametric analysis such as logistic or linear regression according to a normal law on a sufficient number of observations according to the transversal approach. As theoretical implications of this study, Davila et al. (2006) argue that to succeed in a product development process, it must be possible to measure the resulting performance. Assessing performance in the product development process is particularly important for managers and decision makers to address key management issues such as “what we do”, “what we have learned” and “what should we do in the future” (Tatikonda, 2007).Practical implicationsThe empirical implications of this study have shown that accelerating the execution of innovation activity is enormously favored to increase the performance of the innovative product over the medium term. This will enable the company to be efficient in terms of market entry time with good quality and as soon as possible mainly in the early stages of development of the new product.Originality/valueCompared with previous studies, the originality of this study is to answer two inadequacies in the theory of performance of the new product, namely, the objective/quantitative nature of the practice measured in the innovation process and the use of a holistic approach based on the performance indicators of the innovative product at each stage of the innovation process.


Author(s):  
Andrea CAPRA ◽  
Ana BERGER ◽  
Daniela SZABLUK ◽  
Manuela OLIVEIRA

An accurate understanding of users' needs is essential for the development of innovative products. This article presents an exploratory method of user centered research in the context of the design process of technological products, conceived from the demands of a large information technology company. The method is oriented - but not restricted - to the initial stages of the product development process, and uses low-resolution prototypes and simulations of interactions, allowing users to imagine themselves in a future context through fictitious environments and scenarios in the ambit of ideation. The method is effective in identifying the requirements of the experience related to the product’s usage and allows rapid iteration on existing assumptions and greater exploration of design concepts that emerge throughout the investigation.


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