Product innovation management model based on manufacturing readiness level (MRL), design for manufacturing and assembly (DFMA) and technology readiness level (TRL)

2021 ◽  
Vol 43 (7) ◽  
Author(s):  
Cristiano Vasconcellos Ferreira ◽  
Fernando Luiz Biesek ◽  
Régis Kovacs Scalice
Keyword(s):  
Product Innovation ◽  
Innovation Management ◽  
Design For Manufacturing ◽  
Management Model ◽  
Technology Readiness ◽  
Model Based ◽  
Technology Readiness Level ◽  
Readiness Level ◽  
Manufacturing Readiness

scholarly journals A Quantitative Analysis of System Readiness Level Plus (SRL+): Development of Readiness Level Measurement

2018 ◽  
Vol 159 ◽  
pp. 02067
Author(s):  
Novi Marlyana ◽  
Alva Edy Tontowi ◽  
Hari Agung Yuniarto
Keyword(s):  
Quantitative Analysis ◽  
New Technology ◽  
Technology Readiness ◽  
Measurement Tool ◽  
Level Measurement ◽  
Mathematical Properties ◽  
Technology Readiness Level ◽  
Readiness Level ◽  
System Readiness ◽  
Manufacturing Readiness

The research explains the development of Readiness Level measurement. The initial concept of Readiness Level is Technology Readiness Level (TRL). TRL is an important metric used by U.S. government agencies such as NASA and the Department of Defense and is designed to quantify the maturity of a new technology and to enable comparisons with alternatives. System technology assessment evolves with the presence of Integration Readiness Level (IRL) and System Readiness Level (SRL). A quantitative combination of levels of readiness can be made and open the potential for expanding the other sizes of readiness levels, such as the Manufacturing Readiness Level (MRL). A measurement tool to measure the development of readiness level by involving MRL is called System Readiness Level Plus (SRL+). This research focuses on quantitative analysis of SRL+ model. It consists of the mathematical properties method and readiness reversal method. Several steps can be conducted to design the SRL+ model. This model was developed from the System Readiness Level metric by Ross, combined with Incidence Matrix Approach by London. The first step is developing the function of the SRL+ model. The second step is conducting computation using a development model that is SRL+. The third step is carrying out validity of SRL+ model. The result indicates that SRL+ model can be mathematically proven.

Research of Synergy Product Maturity Based on Maturity Cycle

2012 ◽  
Vol 538-541 ◽  
pp. 2813-2821
Author(s):  
Gang Du ◽  
Qing Huang ◽  
Li Sun
Keyword(s):  
Product Development ◽  
Continuous Improvement ◽  
Evaluation Model ◽  
High Technology ◽  
Technology Readiness ◽  
Maturity Level ◽  
Technology Readiness Level ◽  
Technology Products ◽  
Readiness Level ◽  
Manufacturing Readiness

Product Maturity Level (PML) has a great significance as an important tool in impelling the development of professional product research and realizing optimization of supply and product continuous improvement. Through analyzing Product Maturity Cycle, this paper proposes Application Readiness Level (ARL) based on the study of Technology Readiness Level (TRL) and Manufacturing Readiness Level (MRL). It improves the evaluation model of PML and expands the scope of PML. Meanwhile, this paper regarded synergy products as research object, combining the backwardness advantage of product development and the aspiration of innovation in China, it develops a new PML evaluation model of high technology products. The characteristic factors, influencing factors of PML and its grades dividing had also been deeply studied and systematically analyzed, which offers guidance to product development and marketization in China.

Evaluation of the maturity level of biomass electricity generation technologies using the technology readiness level criteria

2021 ◽  
Vol 295 ◽  
pp. 126426
Author(s):  
Fernando Bruno Dovichi Filho ◽  
York Castillo Santiago ◽  
Electo Eduardo Silva Lora ◽  
José Carlos Escobar Palacio ◽  
Oscar Agustin Almazan del Olmo
Keyword(s):  
Electricity Generation ◽  
Technology Readiness ◽  
Maturity Level ◽  
Technology Readiness Level ◽  
Readiness Level

scholarly journals Improving the robustness of a service robot for continuous indoor monitoring: An incremental approach

2021 ◽  
Vol 18 (3) ◽  
pp. 172988142110121
Author(s):  
David Portugal ◽  
André G Araújo ◽  
Micael S Couceiro
Keyword(s):  
Real World ◽  
Service Robots ◽  
Service Robot ◽  
Technology Readiness ◽  
Incremental Approach ◽  
Technology Readiness Level ◽  
Readiness Level ◽  
Software And Hardware ◽  
Indoor Monitoring

To move out of the lab, service robots must reveal a proven robustness so they can be deployed in operational environments. This means that they should function steadily for long periods of time in real-world areas under uncertainty, without any human intervention, and exhibiting a mature technology readiness level. In this work, we describe an incremental methodology for the implementation of an innovative service robot, entirely developed from the outset, to monitor large indoor areas shared by humans and other obstacles. Focusing especially on the reliability of the fundamental localization system of the robot in the long term, we discuss all the incremental software and hardware features, design choices, and adjustments conducted, and show their impact on the performance of the robot in the real world, in three distinct 24-h long trials, with the ultimate goal of validating the proposed mobile robot solution for indoor monitoring.

scholarly journals Some aspects of technology transfer

2018 ◽  
Vol 178 ◽  
pp. 08006
Author(s):  
Alexei Toca ◽  
Vadim Iaţchevici ◽  
Tatiana Niţulenco ◽  
Nicolae Rusu
Keyword(s):  
Life Cycle ◽  
Technology Transfer ◽  
Technology Readiness ◽  
Technology Readiness Level ◽  
Technological Transfer ◽  
Readiness Level ◽  
Functional Orientation ◽  
Technology Life Cycle

Technological transfer is a complex and varied process, being realized out at different stages of technology readiness level. Being essentially a trading, technology transfer is fully subject to market laws. The technology transfer strategy and tactics are strongly influenced by the degree of technology's readiness level, systemic character, functional orientation and universality, technical and economic determination degrees that can be specified and determined in accordance with the stages of technology life cycle.

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