The fuzzy front end of manufacturing technology development

2019 ◽  
Vol 33 (5) ◽  
pp. 285
Author(s):  
Mats Jackson ◽  
Mats Ahlskog ◽  
Jessica Bruch
Keyword(s):  
Technology Development ◽  
Manufacturing Technology ◽  
Fuzzy Front End ◽  
Front End

Challenges and Benefits of Product-Like SRAM in Technology Development

2011 ◽  
Author(s):  
Felix Beaudoin ◽  
Stephen Lucarini ◽  
Fred Towler ◽  
Stephen Wu ◽  
Zhigang Song ◽  
...  
Keyword(s):  
Technology Development ◽  
Random Access ◽  
Random Access Memory ◽  
Static Random Access Memory ◽  
Development Phase ◽  
High Complexity ◽  
Access Memory ◽  
Integration Schemes ◽  
Front End

Abstract For SRAMs with high logic complexity, hard defects, design debug, and soft defects have to be tackled all at once early on in the technology development while innovative integration schemes in front-end of the line are being validated. This paper presents a case study of a high-complexity static random access memory (SRAM) used during a 32nm technology development phase. The case study addresses several novel and unrelated fail mechanisms on a product-like SRAM. Corrective actions were put in place for several process levels in the back-end of the line, the middle of the line, and the front-end of the line. These process changes were successfully verified by demonstrating a significant reduction of the Vmax and Vmin nest array block fallout, thus allowing the broader development team to continue improving random defectivity.

scholarly journals A FUZZY FRONT-END PRODUCT DEVELOPMENT FRAMEWORK FOR START-UPS

2021 ◽  
Vol 1 ◽  
pp. 111-120
Author(s):  
Nuno Miguel Martins Pacheco ◽  
Anand Vazhapilli Sureshbabu ◽  
Masaru Charles Nürnberger ◽  
Laura Isabel Durán Noy ◽  
Markus Zimmermann
Keyword(s):  
Two Dimensions ◽  
Fuzzy Front End ◽  
Development Framework ◽  
Front End ◽  
Start Up ◽  
Extended Approach ◽  
Role Based ◽  
Definition Of ◽  
Clear Idea ◽  
Start Ups

AbstractStart-ups tend to form with a central idea that differentiates them from their competitors in the market. It is crucial for them to efficiently transform the idea into a marketable product. Prototyping helps to iteratively achieve a minimum viable product and plays a crucial role by enabling teams to test their ideas with limited resources early on. However, the prototyping process may have wrong focus leading to a suboptimal allocation of resources. Previously, we proposed role-based prototyping for fuzzy front-end development in small teams. It supports (1) resource allocation, (2) the definition of responsibilities, and (3) structuring the development process with milestones. In recent research this was a promising yet incomplete approach. We extend the previous work by refining the prototyping process by adding a prototyping matrix with two dimensions (purpose and lens), a prototyping cycle (plan, execute, test, reflect, assimilate), and a modified Kanban board (Protoban) for planning, managing, and reflecting cycles. This process, named PETRA was tested with a start-up developing an autonomous trash picking robot. The extended approach supported the team significantly in providing a clear idea of what to do at what time.

scholarly journals WHAT IS SUCCESSFUL PROTOTYPING? INSIGHTS FROM NOVICE DESIGNERS’ SELF-EVALUATION OF PROTOTYPING SUCCESS

2021 ◽  
Vol 1 ◽  
pp. 3431-3440
Author(s):  
Camilla Arndt Hansen ◽  
Nuno Miguel Martins Pacheco ◽  
Ali Gürcan Özkil ◽  
Markus Zimmermann
Keyword(s):  
Design Teams ◽  
Fidelity Level ◽  
Design Decisions ◽  
Human Centered Design ◽  
Development Stages ◽  
Self Evaluation ◽  
Fuzzy Front End ◽  
Front End ◽  
Success Criteria ◽  
Novice Designers

AbstractPrototyping is essential for fuzzy front-end product development. The prototyping process answers questions about critical assumptions and supports design decisions, but it is often unstructured and context-dependent. Previously, we showed how to guide novice designers in early development stages with prototyping milestones. Here, we studied the prototyping success perceived by novice design teams. This was done in two steps: (1) teams were asked to assign each prototype to a milestone, a specific purpose, a fidelity level, and a human-centered design lens, and then evaluate the success using a predefined set of criteria. (2) Teams were interviewed about the success of the prototyping process, this time using self-chosen criteria. Results related to (1) show that teams perceived prototyping activities with respect to desirability and problem validation significantly less successful than prototyping activities towards feasibility and solution validation. Results related to (2) show that teams mostly chose success criteria related to how well prototypes supported communication, decision making, learning, and tangibility. This insight may be used to give priorities to further improvement of methods and guidance in these areas.

The fuzzy integrated TOPSIS economy ranking (FITER) model for manufacturing technology development in China

2021 ◽  
pp. 1-13
Author(s):  
Yang GAO ◽  
Xiang GAO
Keyword(s):  
Decision Making ◽  
Information Diffusion ◽  
Manufacturing Industry ◽  
Service Industry ◽  
Technology Development ◽  
Manufacturing Technology ◽  
Technological Advancement ◽  
Ranking Score ◽  
Expansion Level ◽  
High Level

With knowledge perspective of industrial technology, in this paper we propose fast ranking score decision making model based on Fuzzy integrated TOPSIS approach to determine economic growth rate of manufacturing industry in China. This research focuses on driving effects of China’s productive service industry on manufacturing technology innovation. The research results show that the manufacturer service industry takes a high level of information diffusion for the manufacturing industry. It transmits a large amount of diverse information through the unconstrained relationship with the manufacturing industry, thereby forming the economic network with proposed Fuzzy integrated TOPSIS economy ranking (FITER) model and improve the development level of the manufacturing industry. We evaluate the performance of proposed FITER model by comparing ranking score of different manufacturing industry with different existing decision making mode and demonstrate that proposed model represent best ranking score in comparison to existing approach. Result from data analysis motivates driving effect of production services on the technological innovation of manufacturing and sub-sectors. It is found that the innovation and technological advancement in the production industry of services takes drive the overall expansion level of the business industry, as well as make the manufacturing industry the strongest.

scholarly journals Inovação aberta no processo de pesquisa e desenvolvimento: uma análise da cooperação entre empresas automotivas e universidades

2017 ◽  
Vol 24 (4) ◽  
pp. 653-666 ◽  
Author(s):  
Ana Paula Vilas Boas Viveiros Lopes ◽  
André Ferrarese ◽  
Marly Monteiro de Carvalho
Keyword(s):  
Fuzzy Front End ◽  
Front End ◽  
Flex Fuel

Resumo: A crescente demanda por inovação e a necessidade de reduzir o tempo e o custo do desenvolvimento de novos produtos têm mudado o cenário automotivo nacional, o qual foi por muito tempo caracterizado por um modelo fechado de inovação. A tecnologia flex fuel tem sido um desafio para as empresas desse setor e é o fator motivador deste estudo, cujo principal objetivo foi compreender o processo de inovação aberta no contexto de Fuzzy Front End, identificando as principais motivações e os principais gargalos para implementação. Para atingir esse objetivo foi realizado um estudo de caso longitudinal em um consórcio composto por 9 empresas e 2 universidades. A metodologia envolveu pesquisa qualitativa e quantitativa. A principal contribuição teórica desta pesquisa é justamente o pioneirismo no que diz respeito às empresas montadoras automotivas trabalhando de forma colaborativa. Esta pesquisa também tem implicações gerenciais importantes. Ela indica as peculiaridades que devem ser consideradas quando em um ambiente de coopetição, bem como sugere aos gestores de que forma trabalhar as fases iniciais da inovação. A pesquisa retrata bem o papel das universidades nesse contexto.

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