Metadata-Driven Value Chain Modeling Framework
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Solution Overview
Problem
Conventional software tools and systems for value chain analysis are inflexible and not configurable, limiting their ability to meet the unique needs of businesses and failing to provide a comprehensive analysis across different components, leading to incomplete and non-reusable solutions.
Innovation Solution
A flexible and reusable framework for modeling value networks is provided, allowing users to define network configurations based on metadata input, with a configuration user interface and database storing structural and functional metadata to evaluate key figures and perform value chain analyses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional software tools and systems are used for value chain analysis, then specific methodologies and structures are implemented, but the tools are inflexible and not configurable to meet unique business needs
Solution Approach 1:
The system allows dynamic configuration of value chain models through metadata definitions. Users can define and modify object types, edge types, characteristics, and formulas without reprogramming the system. The configuration database stores structural and functional metadata that can be adjusted to meet varying business requirements, making the system adaptable while maintaining manageable complexity.
Solution Approach 2:
The invention enables parameter changes by allowing users to define custom characteristics and key figures through metadata. The system supports varying parameters such as cost elements, quantity flows, and evaluation formulas based on specific business needs. This allows the same core system to accommodate different methodologies (e.g., activity-based costing, traditional costing) by simply changing the configured parameters rather than the underlying system structure.
2Adaptability or versatility
If pre-existing software modules with one size fits all approach are used, then broad applicability is achieved, but the ability to address varied business concerns and configure simulations is limited
Solution Approach 1:
The system segments the value chain analysis into distinct configurable components: object types (representing costed entities), edge types (representing relationships), characteristics (attributes of objects), and formulas (evaluation logic). Each segment can be independently configured through metadata definitions, allowing businesses to customize only the portions relevant to their specific needs while maintaining ease of operation through a structured configuration interface.
Solution Approach 2:
The invention creates a universal platform that can serve multiple business needs through a single configurable system. The same core software can perform different types of value chain analyses (product costing, service costing, profitability analysis) by loading different metadata configurations. This eliminates the need for multiple specialized software modules while maintaining ease of operation through a unified configuration approach.
3Reliability
If conventional modeling tools are used, then specific costing methodologies are enforced, but comprehensive value chain analysis across different components is limited
Solution Approach 1:
The system merges multiple costing methodologies and analysis components into a single integrated value chain analysis platform. By combining object-oriented modeling with metadata-driven configuration, the system can simultaneously handle different costing approaches (activity-based, traditional, target costing) and various analysis types (costing, profitability, performance measurement) within one unified framework, achieving comprehensive analysis without excessive integration complexity.
Solution Approach 2:
The invention introduces metadata as an intermediary layer between the user and the core system. This metadata configuration acts as a mediator that translates diverse business requirements into standardized system operations. The configuration database and user interface serve as intermediaries that simplify the complexity of integrating multiple methodologies, allowing users to perform comprehensive analyses without directly managing the underlying integration complexity.
Data Source
AI summary
Methods and systems are disclosed for modeling costed entities and performing a value chain analysis. In one implementation, methods and systems may implement a costing platform. The costing platform may be adapted for modeling any set of costed entities and processing value chains. Value chains may be modeled by a user via the costing platform, so that networks comprised of objects and edges, and costed entities located at the objects can be modeled and functions can be added to determine key figures.