Network Deployment Tool Automates Workflow Orchestration
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Solution Overview
Problem
Telecommunications companies face challenges in efficiently scaling and deploying their networks due to the lack of end-to-end deployment tools, relying on manual processes and spreadsheets prone to errors, and are hindered by supply chain issues and human errors in building out networks.
Innovation Solution
An integrated network deployment tool that automates the design, development, and testing of telecommunications networks using a knowledge base of past projects to create workflows and orchestrate milestone processes, reducing manual errors and optimizing resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual processes and spreadsheets are used for network deployment, then flexibility in customization is maintained, but human errors increase and productivity decreases
Solution Approach 1:
The deployment tool enables automated self-service through workflow orchestration and milestone tracking, eliminating manual spreadsheet management and reducing human error while maintaining deployment flexibility through configurable parameters
Solution Approach 2:
Manual mechanical processes (spreadsheet manipulation, manual coordination) are replaced with an automated software system that uses electronic workflows, databases, and algorithmic orchestration to manage network deployment tasks
2Productivity
If automated deployment tools are implemented, then productivity and accuracy improve, but device complexity increases
Solution Approach 1:
The deployment system is segmented into discrete milestone processes (e.g., site survey, equipment installation, testing) that can be independently managed and tracked, reducing overall system complexity while enabling automated orchestration
Solution Approach 2:
The deployment tool is designed as a universal platform that can handle multiple network deployment scenarios and configurations through parameter customization, avoiding the need for multiple specialized tools and reducing long-term complexity
3Manufacturing precision
If knowledge base from past projects is utilized, then manufacturing precision improves, but loss of time in data retrieval occurs
Solution Approach 1:
The system performs preliminary actions by pre-processing and structuring deployment data from past projects into reusable templates and best practices, so that when deployment begins, the knowledge is already organized and immediately accessible without time-consuming retrieval
Solution Approach 2:
The system creates and utilizes copies of successful deployment patterns and configurations from past projects, allowing teams to replicate proven solutions without re-analyzing historical data, thus maintaining high deployment quality while minimizing data access time
Data Source
AI summary
Aspects of the subject disclosure may include, for example, receiving network requirements for a new telecommunications network to be developed by a network operator, developing a workflow for design and development of the new telecommunications network based on stored knowledge base data about past telecommunications network projects of the network operator, the stored knowledge base data including information about prior milestone processes of the past telecommunications network projects of the network operator, modifying the information about prior milestone processes based on the network requirements for the new telecommunications network, forming a plurality of milestone processes for the new telecommunications network, and performing respective milestone processes of the plurality of milestone processes to design, develop and test the new telecommunications network, including performing a network ready milestone process of final testing of network functions and a certification that the new telecommunications network is operational to begin initiating operation of the new telecommunications network. Other embodiments are disclosed.