An approach to product development with scenario planning: The case of aircraft design

Randt, Niclas P.

doi:10.1016/j.futures.2015.06.001

Cited by 21 publications

(12 citation statements)

References 31 publications

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“…Over time, this method has been adapted and applied to a number of different fields including systems engineering (Graessler et al, 2016) and for requirement planning for products with unusually long product development cycles (Gräßler and Scholle, 2016). Furthermore, this method was successfully used for the requirement elicitation in aircraft design (Randt, 2015), where decisions have to be taken under high uncertainties with high impact on product safety. These two examples have a lot in common with the problem at hand, in particular the need to make valid statements about a product whose market launch is far in the future.…”

Section: Requirements Elicitation For Amod Shuttlesmentioning

confidence: 99%

Autonomous Shuttles for Urban Mobility on Demand Applications – Ecosystem Dependent Requirement Elicitation

Grahle

Song

Brüske

et al. 2020

Proc. Des. Soc.: Des. Conf.

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Future transport will change drastically with the introduction of automated vehicles. Here, Autonomous Mobility on Demand (AMoD) will play a major role, requiring a radical change of vehicle design, with many different conceivable concepts. This technology shift holds high potentials and high risks. Uncertainties about future usage profiles, operator and customer requirements have to be dealt with. An approach to elicit initial requirements for future vehicle concepts considering the entire ecosystem is introduced. The applicability is shown for a specific urban mobility scenario.

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Section: Requirements Elicitation For Amod Shuttlesmentioning

confidence: 99%

Autonomous Shuttles for Urban Mobility on Demand Applications – Ecosystem Dependent Requirement Elicitation

Grahle

Song

Brüske

et al. 2020

Proc. Des. Soc.: Des. Conf.

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“…Requirement item is dynamic and will emerge or disappear over time. The prediction of requirement item is mainly based on scenario planning (Randt 2015), but it requires manual intervention. In recent years, some scholars have proposed to identify emerging requirement items based on opinion mining from social network service (Tuarob and Tucker 2015) or e-commerce data (Jiang, Kwong, and Yung 2017).…”

Section: 2mentioning

confidence: 99%

“…To date, there is no automatic method to predict it. However, some scholars have proposed using scenario planning to identify future requirement levels (Randt 2015). Requirements preference reflects customers' interested or attention degrees of product attributes.…”

Section: 2mentioning

confidence: 99%

A systematic literature review of product platform design under uncertainty

Han

Wang

et al. 2019

Journal of Engineering Design

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With intense global competition, many enterprises adopt platform strategies to develop diverse products with a lower corresponding increase in cost and a shorter lead time. In the past, enormous efforts have been made in investigating product platforms. Recent researches and practices show that developing Uncertainty-Oriented Product Platform (UOPP) is a promising approach to improving the adaptability of enterprises to meet uncertain markets, customer requirements, technologies, policies, and regulations, etc., which includes flexible product platform, adaptable product platform, market-driven product platform, and sustainable product platform. This paper provides a comprehensive review in this field, including the connotation of uncertainty, the concepts of emerging UOPPs, the development process of UOPP, as well as the development technologies in each step. It also highlights the future research framework, opportunities and challenges. This literature review lays the foundation for future research of product platform design under uncertainty.

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“…Four major psychological operation processes contained motivation, cognition, learning, and memory (Kuo & Li, 2017). Niclas (2015) considered that intention could be used for predicting behaviors; as a result, consumers' purchase intention was used for predicting purchase behavior in practice. Purchase behavior was psychologically a decision-making process (Balta-Ozkan et al, 2013).…”

Section: Contribution Of This Paper To the Literaturementioning

confidence: 99%

A Study on the Correlations among Product Design, Statistics Education, and Purchase Intention – A Case of Toy Industry

Chen

Lin

2018

EURASIA J MATH SCI T

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Being affected by the rapid change in internal and external environments in past years, the fiercer competition has resulted in the declination of toy industry. For the sustained-yield management, toy manufacturers have been searching for strategies. In the consumer-oriented era, an enterprise has to precede statistics education of toy designers so that the market survey could accurately analyze consumer needs to establish differential products for creating product value and meeting consumer needs. The supervisors, employees, and customers of Traxxas are the major research subjects for the questionnaire survey in this study. Total 300 copies of questionnaire are distributed and 236 valid copies are retrieved, with the retrieval rate 79%. The research results reveal significantly positive correlations between 1.product design and purchase intention, 2.statistics education and product design, and 3.statistics education and purchase intention. According to the results, suggestions are proposed, expecting to assist domestic toy manufacturers in the future development of product design for the sustained-yield management.

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An approach to product development with scenario planning: The case of aircraft design

Cited by 21 publications

References 31 publications

Autonomous Shuttles for Urban Mobility on Demand Applications – Ecosystem Dependent Requirement Elicitation

Autonomous Shuttles for Urban Mobility on Demand Applications – Ecosystem Dependent Requirement Elicitation

A systematic literature review of product platform design under uncertainty

A Study on the Correlations among Product Design, Statistics Education, and Purchase Intention – A Case of Toy Industry

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