Achieve radical improvement by introducing a more powerful, transformative mechanism instead of incremental enhancement.
License & citation
Creator: Dzmitryi Kharlanau (SAP Lead).
Canonical: https://dkharlanau.github.io/datasets/TRIZ-bytes/TRIZ-38.json
License: CC BY-NC 4.0 (non-commercial only, attribution with source link required).
Concept DOI: 10.5281/zenodo.18862098
Version DOI (`v1.0.0`): 10.5281/zenodo.18862097
Repository: https://github.com/dkharlanau/dkharlanau-datasets
Suggested citation: Dzmitryi Kharlanau. “Strong Oxidants” (dataset bytes). CC BY-NC 4.0. DOI: 10.5281/zenodo.18862098. https://dkharlanau.github.io/datasets/TRIZ-bytes/TRIZ-38.json
Details: /legal/datasets/
JSON (copy / reuse)
{
"id": "TRIZ-38",
"title": "Strong Oxidants",
"intent": "Achieve radical improvement by introducing a more powerful, transformative mechanism instead of incremental enhancement.",
"triz_principle": {
"number": 38,
"name": "Strong Oxidants",
"definition": "Replace ordinary means with more powerful agents to intensify or accelerate a process."
},
"problem_understanding": {
"core_contradiction": "Incremental improvements are too slow, but full replacement seems risky or expensive.",
"why_this_hurts": "Systems stagnate when improvements rely only on gradual tuning while competitive or environmental pressure increases.",
"typical_signals": [
"long cycles with minimal improvement",
"manual effort dominating outcomes",
"tools used far beyond their original capacity",
"competitors improving much faster"
]
},
"solution_logic": {
"core_idea": "Introduce a stronger mechanism that changes the speed or nature of the process.",
"key_rule": "Use powerful means selectively where leverage is highest.",
"how_it_resolves_the_contradiction": "A targeted step-change delivers outsized gains without rewriting the entire system."
},
"application_patterns": {
"consulting": [
"use automation or AI to replace manual analysis",
"introduce benchmark-driven decisions instead of opinion-based debates",
"apply standardized playbooks to accelerate execution"
],
"software_engineering": [
"use code generation instead of hand-written boilerplate",
"apply vectorized processing instead of row-by-row logic",
"introduce GPU or parallel compute for heavy workloads"
],
"architecture": [
"introduce stream processing engines for real-time scale",
"use managed cloud services instead of self-built infrastructure",
"adopt platform capabilities instead of custom implementations"
],
"enterprise_sap": [
"use MDG automation instead of manual master data maintenance",
"apply mass processing frameworks instead of individual updates",
"introduce rules engines (BRF+) instead of procedural checks"
]
},
"anti_patterns": [
"using powerful tools everywhere without focus",
"adding complexity without skill or readiness",
"blindly trusting black-box acceleration"
],
"usage_guidance": {
"use_when": [
"manual or slow processes dominate cost",
"competitive pressure requires step-change improvement",
"leverage point is clearly identified"
],
"do_not_use_when": [
"problem is small or well-controlled",
"team lacks capability to operate powerful tools"
]
},
"diagnostic_questions": [
"Where does effort scale linearly with volume?",
"What tool could change the scaling curve?",
"Which part would benefit most from a step-change?"
],
"example": {
"before": "Large volumes of master data are reviewed manually.",
"after": "Automated rules and mass-processing tools handle validation at scale."
},
"meta": {
"schema": "dkharlanau.dataset.byte",
"schema_version": "1.1",
"dataset": "TRIZ-bytes",
"source_project": "cv-ai",
"source_path": "TRIZ-bytes/TRIZ-38.json",
"generated_at_utc": "2026-02-03T14:33:32+00:00",
"creator": {
"name": "Dzmitryi Kharlanau",
"role": "SAP Lead",
"website": "https://dkharlanau.github.io",
"linkedin": "https://www.linkedin.com/in/dkharlanau"
},
"attribution": {
"attribution_required": true,
"preferred_citation": "Dzmitryi Kharlanau. “Strong Oxidants” (dataset bytes). CC BY-NC 4.0. DOI: 10.5281/zenodo.18862098. https://dkharlanau.github.io/datasets/TRIZ-bytes/TRIZ-38.json"
},
"license": {
"name": "Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)",
"spdx": "CC-BY-NC-4.0",
"url": "https://creativecommons.org/licenses/by-nc/4.0/"
},
"links": {
"website": "https://dkharlanau.github.io",
"linkedin": "https://www.linkedin.com/in/dkharlanau",
"repository": "https://github.com/dkharlanau/dkharlanau-datasets"
},
"contact": {
"preferred": "linkedin",
"linkedin": "https://www.linkedin.com/in/dkharlanau"
},
"canonical_url": "https://dkharlanau.github.io/datasets/TRIZ-bytes/TRIZ-38.json",
"created_at_utc": "2026-02-03T14:33:32+00:00",
"updated_at_utc": "2026-03-04T11:23:27+00:00",
"provenance": {
"source_type": "chat_export_extraction",
"note": "Extracted and curated by Dzmitryi Kharlanau; enriched for attribution and crawler indexing."
},
"entity_type": "triz_byte",
"entity_subtype": "",
"summary": "Achieve radical improvement by introducing a more powerful, transformative mechanism instead of incremental enhancement.",
"doi": {
"concept": "10.5281/zenodo.18862098",
"version": "10.5281/zenodo.18862097",
"repository": "https://github.com/dkharlanau/dkharlanau-datasets"
}
}
}