Telecom Productization Modeling for Quality and Process Complexity
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Solution Overview
Problem
The complexity of telecommunications networks and rapid technological advancements make productization processes challenging, requiring efficient methods to reduce costs and ensure high-quality subscriber services while addressing security and compliance considerations.
Innovation Solution
A framework for a computer-implemented system that creates a productization model to harmonize and optimize productization processes by aligning and weighting elements, utilizing machine learning to predict and adapt to disruptions, and providing dashboards for managing productization across different carrier infrastructures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If productization processes are manually managed through multiple phases involving systems and teams, then product quality and reliability can be ensured through rigorous testing and design, but the complexity of the process increases and costs rise
Solution Approach 1:
The patent segments the productization process into distinct automated phases including ideation, research, prototyping, design, testing, and commercialization. Each phase is handled by specialized automated systems that work in sequence, breaking down the complex manual process into manageable, automated components while maintaining quality standards through systematic testing and validation at each stage.
Solution Approach 2:
The patent introduces an automated productization system as an intermediary between human teams and the product development process. This intermediary system coordinates activities across multiple teams, manages resources, and enforces quality standards automatically, reducing the complexity burden on human operators while ensuring reliable product outcomes through systematic process control.
2Reliability
If new products are developed to satisfy subscriber demands for high quality communications, then service quality improves, but the time and resources required for development increase
Solution Approach 1:
The patent implements preliminary automated actions in the ideation and research phases, where the system automatically generates product ideas, conducts market research, and performs feasibility analysis before human teams invest significant resources. This preliminary automated work prepares comprehensive documentation and recommendations that guide subsequent development phases, reducing overall development time while maintaining quality through systematic evaluation.
Solution Approach 2:
The patent establishes continuous automated processes that run parallel to human development activities. Multiple automated systems simultaneously perform testing, validation, documentation, and compliance checks throughout the productization lifecycle, ensuring that quality assurance activities continue without interruption and reduce the overall development timeline through concurrent processing rather than sequential manual operations.
3Reliability
If productization processes are expanded to include security and compliance considerations throughout all phases, then product security and reliability improve, but the process complexity and costs increase
Solution Approach 1:
The patent integrates security and compliance considerations into universal automated processes that apply across all productization phases. The automated system incorporates security checks, compliance validations, and risk assessments as standard functions within each phase rather than as separate add-on processes. This universal approach ensures consistent security and compliance standards are applied throughout development without requiring separate complex procedures for each phase.
Solution Approach 2:
The patent implements automated feedback mechanisms that continuously monitor security and compliance status throughout the productization process. The system automatically detects security issues, compliance violations, or risk factors at any phase and provides real-time feedback to adjust the development process accordingly. This feedback loop ensures security and compliance are maintained through automated correction and validation rather than through complex manual review processes.
Data Source
AI summary
A system obtains productization data of systems that support productization of a software product for a telecommunications network. The system can identify enabling elements of a particular system, where the enabling elements are adjustable to change a productization process of the software product. The system can classify each enabling element based on a capability of the enabling element to affect performance of the software product or the telecommunications network. The system can create a computer model for productization of the software product based on the classified enabling elements. The system can simulate, based on the computer model, a change to the software product or the particular system and a resulting impact on the productization process of the software product. The system can generate a network interface to check and optimize productization of the software product or another product based on the same model.