Service Menu Planning Method Using Stakeholder Change Frequency Analysis
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Solution Overview
Problem
Existing service menu planning techniques fail to consider the convenience and circumstances of stakeholders, leading to plan changes and unintended service disruptions, which result in the non-implementation of recommended menus and loss of expected effects.
Innovation Solution
A planning method that calculates the change frequency of menu execution for combinations of stakeholders and menus, identifies menus with low response change risk, and recommends these menus to stakeholders to minimize disruptions and ensure implementation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If service menu planning is performed without considering stakeholder convenience and circumstances, then planning complexity is reduced, but plan reliability deteriorates due to frequent changes and disruptions
Solution Approach 1:
The system performs preliminary analysis of stakeholder convenience and circumstances before finalizing the service menu plan. By calculating change frequencies and identifying high-risk menus in advance, the system prevents plan disruptions before they occur, thereby improving reliability without significantly increasing planning complexity
Solution Approach 2:
The system incorporates feedback mechanisms by continuously monitoring actual service execution data and comparing it with planned menus. This feedback loop allows the system to learn from past deviations and improve future planning accuracy, maintaining reliability while keeping the planning process manageable
2Reliability
If service menu planning considers stakeholder convenience and circumstances, then plan reliability is improved, but planning complexity increases
Solution Approach 1:
The system enables self-service by automatically collecting stakeholder data, calculating change frequencies, and generating recommended menus without requiring manual intervention. This automation handles the complexity internally while presenting simple, reliable plans to users, thus improving reliability without burdening the planning process
Solution Approach 2:
The system transforms complex qualitative considerations of stakeholder convenience into quantifiable parameters such as change frequency and response change risk. By converting these parameters into measurable metrics, the system manages complexity through mathematical calculation rather than subjective judgment
3Productivity
If recommended menus do not account for stakeholder expectations, then service implementation speed is maintained, but service effectiveness deteriorates due to non-implementation
Solution Approach 1:
The system performs preliminary matching of recommended menus with stakeholder expectations before implementation. By pre-calculating compatibility between menu options and stakeholder preferences, the system ensures that recommended menus are more likely to be accepted and implemented, improving effectiveness without delaying the service delivery
Data Source
AI summary
A computer-implemented method of performing planning processing, the method including: acquiring information of a menu of a predetermined service and information of a stakeholder related to the service; calculating a change frequency of execution of the menu for a combination of the stakeholder and the menu; specifying a menu to be recommended on the basis of the calculated change frequency; and outputting the specified menu to the stakeholder of the calculated combination.