TRIZ-assisted Stage-Gate Process for Developing New Products

Abramov, Oleg

doi:10.12691/jfe-2-5-8

Cited by 16 publications

(5 citation statements)

References 2 publications

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“…Indeed, it was found in a recent study that inclusion of the lattice energy (sublimation enthalpy) descriptor, which captures only short-range interactions, did not significantly improve the quality of the aqueous solubility QSPR models . In addition to this, there are important entropic contributions, which are noticeably more pronounced in absolute value in the sublimation rather than in the fusion thermodynamic cycle and should be appropriately considered for an accurate QSPR modeling of sublimation free energy, Δ G sub . , As a result, all these considerations support the conclusion that the solid state contribution is the limiting factor in accuracy and predictive power of the QSPR models of the intrinsic aqueous solubility of crystalline drug-like compounds independently of the thermodynamic cycle considered.…”

Section: Results and Discussionmentioning

confidence: 81%

Major Source of Error in QSPR Prediction of Intrinsic Thermodynamic Solubility of Drugs: Solid vs Nonsolid State Contributions?

Abramov

2015

Mol. Pharmaceutics

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The main purpose of this study is to define the major limiting factor in the accuracy of the quantitative structure-property relationship (QSPR) models of the thermodynamic intrinsic aqueous solubility of the drug-like compounds. For doing this, the thermodynamic intrinsic aqueous solubility property was suggested to be indirectly "measured" from the contributions of solid state, ΔGfus, and nonsolid state, ΔGmix, properties, which are estimated by the corresponding QSPR models. The QSPR models of ΔGfus and ΔGmix properties were built based on a set of drug-like compounds with available accurate measurements of fusion and thermodynamic solubility properties. For consistency ΔGfus and ΔGmix models were developed using similar algorithms and descriptor sets, and validated against the similar test compounds. Analysis of the relative performances of these two QSPR models clearly demonstrates that it is the solid state contribution which is the limiting factor in the accuracy and predictive power of the QSPR models of the thermodynamic intrinsic solubility. The performed analysis outlines a necessity of development of new descriptor sets for an accurate description of the long-range order (periodicity) phenomenon in the crystalline state. The proposed approach to the analysis of limitations and suggestions for improvement of QSPR-type models may be generalized to other applications in the pharmaceutical industry.

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Section: Results and Discussionmentioning

confidence: 81%

Major Source of Error in QSPR Prediction of Intrinsic Thermodynamic Solubility of Drugs: Solid vs Nonsolid State Contributions?

Abramov

2015

Mol. Pharmaceutics

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“…All of these projects were performed for different clients representing a variety of industries; all of them were aimed at NPD or at developing a new technology for manufacturing an existing product. In all projects the TRIZ-assisted Stage-Gate process [5] was employed.…”

Section: Resultsmentioning

confidence: 99%

“…In contrast, TRIZ offers a different way to improve the efficacy of the NPD process: generate fewerbut better and more targetedideas, as provided by the TRIZ-assisted Stage-Gate process [5]. The efficacy of TRIZ as a problem solving and problem finding methodology is confirmed in numerous papers, for example by Filmore and Thomond [6], Harlim and Belski [7].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Effectiveness of Modern TRIZ Based on Practical Results in New Product Development

Abramov

Medvedev

Rychagov

2019

IFIP Advances in Information and Communication Technology

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Today's innovation processes used in industry are generally inefficient: various sources indicate that only one out of three-thousand, raw ideas yield a commercial product. Fortunately, most of the ideas are quickly rejected before much time and money are spent on their development. Still, approximately 300 of the raw ideas are normally selected for further investigation and development, which results in launching around 125 small pilot projects and in other time and money-consuming activitiesall for the sake of a single commercially successful product. TRIZ-practitioners claim a much higher efficacy with the TRIZbased innovation process because TRIZ provides a more systematic approach for innovation and dramatically speeds up the new product development (NPD) process. A number of case studies using TRIZ for NPD back up this statement; however, there is so far no solid quantitative data available to support this statement. In this paper, the authors have tried to evaluate the effectiveness of modern TRIZ in NPD by analyzing a pool of technical solutions for new products developed for different companies in actual TRIZ-consulting projects. For each solution, the authors have tried to identify whether the new product was ultimately launched. This analysis revealed the number of solutions/ideas that TRIZ consultants developed in order to launch one new product and the percentage of successful projects. The results show that using TRIZ improves the efficiency of the NPD process from about 5 to 12 times, which confirms that TRIZ brings high value to NPD.

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“…However, when the inventor highlights the technical difficulty associated with the selected patented system, the inventor will focus on finding the system's root cause(s) at the component level. Typically, the root cause(s) can be easily detected when assessing the functions in the model 22. The other type of abnormal function that TRIZ has defined is impaired, excessive, and harmful.…”

Section: Systematic Innovation Of Selected Hydrogen Fuel Cell Technol...mentioning

confidence: 99%

Innovation Process of Hydrogen Fuel Cell Storage Technology Using the Theory of Inventive Problem Solving (TRIZ)

Abdul Rahim,

Iqbal

2023

Chem Eng & Technol

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The innovation of hydrogen fuel cells is essential for the sustainability of the future environment, which requires technical support as a medium to achieve the goal. This study proposes a strategic patent innovation framework to transform the innovation process for inventors in developing breakthrough innovations. Using the theory of inventive problem solving (TRIZ) in the framework's foundation is changing the approach, method, strategy, and tools for the inventor to be more systematic in the innovation process. Also, a case study is presented on how the framework is applied to developing hydrogen fuel cell storage tanks. Several TRIZ methods and tools are used to increase the value of the system innovation from the selected patent and solve the trimming problem to produce the breakthrough innovation from a technical perspective. Furthermore, the study shares the patent strategy from a legal standpoint in strengthening the portfolio of the new patent system. The proposed framework is recommended to be applied beyond the scope of hydrogen fuel cell technological areas, and it will be the catalyst for developing breakthrough solutions for clean energy systems.

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TRIZ-assisted Stage-Gate Process for Developing New Products

Cited by 16 publications

References 2 publications

Major Source of Error in QSPR Prediction of Intrinsic Thermodynamic Solubility of Drugs: Solid vs Nonsolid State Contributions?

Major Source of Error in QSPR Prediction of Intrinsic Thermodynamic Solubility of Drugs: Solid vs Nonsolid State Contributions?

Evaluation of the Effectiveness of Modern TRIZ Based on Practical Results in New Product Development

Innovation Process of Hydrogen Fuel Cell Storage Technology Using the Theory of Inventive Problem Solving (TRIZ)

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