Work Planning System for Facility Disaster Response
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Solution Overview
Problem
Existing systems lack effective planning and decision-making support for measures against disasters and abnormalities in facilities, leading to potential increased damage and inefficiencies in response operations.
Innovation Solution
A work planning system that acquires event data, determines the importance of various works based on this data, and displays this information to facilitate appropriate planning and execution, including progress tracking and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a decision-making support system is used to support decision making of measures against disasters, then decision-making capability is improved, but the system complexity increases
Solution Approach 1:
The system segments decision-making support into distinct functional modules: event-data acquisition unit for collecting disaster information, storage unit for managing work data, and decision unit for determining importance degrees. This modular segmentation reduces overall system complexity while maintaining comprehensive decision-making capability.
Solution Approach 2:
The system performs preliminary actions by pre-storing multiple pieces of work data in the storage unit before disasters occur. During actual disaster response, the decision unit can quickly retrieve and evaluate pre-prepared work options, reducing decision-making time and system operational complexity during critical events.
2Productivity
If multiple pieces of work data are managed and prioritized based on event data, then work planning effectiveness is improved, but information processing complexity increases
Solution Approach 1:
The decision unit transforms complex work planning by changing the evaluation parameter to 'importance degree,' which is determined based on event data. This parameter transformation simplifies the prioritization process by providing a clear metric for ranking multiple work items, improving work planning effectiveness without requiring complex multi-criteria analysis.
Solution Approach 2:
The decision unit acts as an intermediary between event data and work data, automatically determining importance degrees by evaluating the relationship between current disaster conditions and available work options. This intermediary function simplifies information processing by automating the matching and prioritization process rather than requiring manual analysis of all work data against event conditions.
3Measurement precision
If importance degrees of work data are determined based on event data, then response accuracy is improved, but data processing time increases
Solution Approach 1:
The decision unit implements partial action by focusing evaluation on key event data parameters that most significantly impact work importance rather than analyzing all available data comprehensively. This selective evaluation maintains response accuracy for critical decisions while reducing overall data processing time during disaster events.
Data Source
AI summary
A work planning system includes an event-data acquisition unit that acquires event data indicating an event of a facility, a storage unit that stores therein a plurality of pieces of work data indicating contents of works that can be performed with respect to the facility, and a decision unit that decides each importance degree of a plurality of pieces of work data based on the event data.