Service Design Assistance System for Business Problem Resolution
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Solution Overview
Problem
Current techniques lack the ability to effectively select and utilize suitable services and products from a wide range of knowledge to design new services, particularly in client/service provider collaboration, where the focus is on solving business problems and maximizing product values.
Innovation Solution
A service design assistance apparatus and method that includes a storage system for defining services and data on a design screen, allowing objects representing business problems, values, and necessary technologies to be placed and linked, enabling efficient and multifaceted presentation of service ideas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional service description techniques are used to describe service components hierarchically, then service structure can be organized, but the ability to effectively select and utilize suitable services and products from wide range knowledge is insufficient
Solution Approach 1:
The service design assistance system segments the wide range of knowledge into distinct categories including service components, products, technologies, and past service examples. Each category is stored separately in the storage apparatus, allowing systematic organization and efficient retrieval without overwhelming complexity in the overall system structure.
Solution Approach 2:
The service similarity calculation unit and service component similarity calculation unit act as intermediaries between the stored knowledge base and the service design process. These units calculate similarities between service components and retrieve appropriate past examples, bridging the gap between available knowledge and design needs without requiring direct complex interactions between all knowledge elements.
2Measurement precision
If similar service retrieval systems calculate service component similarity to find similar services, then service similarity can be determined, but the system cannot appropriately select suitable services and products considering client company type and industry
Solution Approach 1:
The system applies local quality by storing and retrieving knowledge specific to different client company types and industries. The service design assistance apparatus maintains separate knowledge entries that include client company type and industry attributes, allowing the similarity calculation to consider these local characteristics when selecting appropriate past service examples, rather than treating all services uniformly.
Solution Approach 2:
The service similarity calculation unit modifies the similarity calculation parameters to include client company type and industry characteristics. By changing the calculation parameters to incorporate these additional dimensions, the system achieves more precise and contextually appropriate service matching that adapts to specific client contexts.
3Productivity
If service design through client/service provider collaboration is implemented, then service value can be maximized, but assistance for collaborative activities and understanding of service image is required
Solution Approach 1:
The service design assistance system performs preliminary actions by automatically retrieving and presenting relevant past service examples, service components, and product information before the collaborative design session begins. This pre-prepared knowledge base reduces the coordination burden during collaboration, as participants can immediately reference relevant examples without extensive manual searching or preparation.
Solution Approach 2:
The system enables self-service by allowing the service design assistance apparatus to automatically perform knowledge retrieval, similarity calculation, and example selection without requiring manual coordination between clients and providers. This automation handles the complex matching and retrieval tasks, freeing human collaborators to focus on creative service design and value maximization.
Data Source
AI summary
A service design assistance apparatus includes an input apparatus, a storage, a display, and an arithmetic apparatus. The arithmetic apparatus, in response to a specific request received via an input apparatus, placing objects for a service of a new design target in corresponding areas on the design screen, the objects representing a relevant business, a problem with the business, a value to be obtained by solving the problem, a service to provide the value, and an apparatus or technology needed for the service.