Experimental Validation of Quantum-Economic Analysis (QEA) as a Screening Tool for New Product Development

Abramov, Oleg; Markosov, Sergey; Medvedev, Alexander

doi:10.1007/978-3-319-96532-1_2

Cited by 6 publications

(4 citation statements)

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“…Success rate at different NPD stages (calculated using the data from Table 1) Fig. 2 represents the distribution of the 32 successful and 38 unsuccessful solutions within the QEA Business Cube, which was determined in the same manner as in our previous paper [18] that can be referred to for the details of this procedure.…”

Section: Resultsmentioning

confidence: 99%

“…As shown by the authors in a recent paper [18], while clients rejected a few solutions for personal or other subjective reasons, most solutions were rejected because they were unpromising in terms of business impact. Such solutions could have been rejected early in the project by the TRIZ team if the new TRIZ tool called 'QEA-based screening' [17] had been employed.…”

Section: Discussionmentioning

confidence: 99%

“…4. The locations of all successful and unsuccessful solutions within the QEA business cube were determinedas was done previously by Abramov et al [18].…”

Section: Methodsmentioning

confidence: 99%

“…In this paper, the authors aim to (1) refine the data on modern TRIZ efficacy by collecting more statistical information and (2) estimate the practical potential for further improvement of TRIZ effectiveness in the NPD process by using the Quantum Economic Analysis-based screening tool (further: QEA-screening) introduced and validated by Abramov et al [17,18].…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

“…4. The locations of all successful and unsuccessful solutions within the QEA business cube were determinedas was done previously by Abramov et al [18].…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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