The Front-End of Product Development as Systems Thinking and Predictive Learning

Yamamura, Charles Lincoln Kenji; Ribeiro, Celma de Oliveira; Dantas, Denise; Quintanilha, José Alberto; Berssaneti, Fernando Tobal

doi:10.1016/j.promfg.2020.01.323

Cited by 4 publications

(2 citation statements)

References 26 publications

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“…The term FFE was popularized by Smith and Reinertsen [7], and receives the denomination "Fuzzy" as the activities developed in this phase present a high degree of uncertainty. Compared with the activities of later stages of PDP (clear, specific, systemic, and deterministic the FFE is ambiguous, not standardized, and probabilistic [8].…”

Section: Introductionmentioning

confidence: 99%

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Decision Method Focused on the Fuzzy Front-End Phase: A Study Applied to the Development of an Electronic Starting Block for Running Athletes

Dzulinski¹,

Braghini²,

Nascimento³

et al. 2022

International Journal on Advanced Science, Engineering and Information Technology

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In this work, we present a model to support multi-criteria decision-making in the selection of components for the initial proposals of a product or portfolio of products during the Fuzzy Front-End (FFE) phase of the Product Development Process (PD) to reduce risk and uncertainty and increase agility. The model is made of eight stages in which triangular-based fuzzy is employed to weigh customer requirements, and a direct numerical scale is used to weigh technical requirements. The main differences of this model are the identification and weighting of requirements based on different customer profiles and the identification of global customer requirements that have a direct or indirect relationship with all or most technical requirements. We applied the model in the development of an electronic starting block for running athletes with sensors that collected data to assist in training and performance improvement and were able to reduce the number of combinations of components in the FFE stage, and consequently, the development time, with the prioritization of roughly 30% of the components (10 parts of a total of 33). We highlight that there is still a need for further studies investigating the relationship of customer profiles and the impact on PDP and other ways to analyze how customer requirements impact technical requirements.

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Section: Introductionmentioning

confidence: 99%

“…The survey of customers' needs is indispensable for product improvement and innovation [14]. Yamamura et al [8] reinforce the need to create value for the customer in the FFE phase.…”

Section: Introductionmentioning

confidence: 99%

Decision Method Focused on the Fuzzy Front-End Phase: A Study Applied to the Development of an Electronic Starting Block for Running Athletes

Dzulinski¹,

Braghini²,

Nascimento³

et al. 2022

International Journal on Advanced Science, Engineering and Information Technology

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Fuzzy Front End and Design Thinking Integrated Frugal Innovation Framework for Feature Concept Generation in a Product: Portrayal for a Wheelchair

Dan

Tiwari

Basu³

2023

Design Science and Innovation

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A Systems Thinking Approach to Improving Firms’ Competitive Capabilities and Firm Performance

Siriram,

Plessis

2024

Syst Pract Action Res

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This research aims to establish how systems thinking (ST) can be used to develop firm competitive capabilities (CC) and improve firm performance (FP). The focus is on ST applications in the South African information and communications technology (ICT) industry. The methodology includes Structural text condensation of relevant literature combined with interviews involving a selection of participants. From the analysis, some of the key findings are that ST enables the firm to contextualize itself in the wider systems environment, which results in improvements in FP. The research stream is specifically on soft ST and its contribution to improvements in firm CC and FP. This research creates an opportunity for further research into how soft ST can be leveraged in delivering firm CC and improvements in FP. The theoretical contribution made in this paper is exploring the relationship/linkage between the different concepts of soft ST, CC and FP.

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The Front-End of Product Development as Systems Thinking and Predictive Learning

Cited by 4 publications

References 26 publications

Decision Method Focused on the Fuzzy Front-End Phase: A Study Applied to the Development of an Electronic Starting Block for Running Athletes

Decision Method Focused on the Fuzzy Front-End Phase: A Study Applied to the Development of an Electronic Starting Block for Running Athletes

Fuzzy Front End and Design Thinking Integrated Frugal Innovation Framework for Feature Concept Generation in a Product: Portrayal for a Wheelchair

A Systems Thinking Approach to Improving Firms’ Competitive Capabilities and Firm Performance

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