Operation Time Calculation Device Using Conversion Coefficient
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Solution Overview
Problem
Existing methods for calculating operation time on manufacturing floors are impractical when operation start and end dates and times are missing or incomplete, as they rely on accurate recording of these times to calculate individual operation times.
Innovation Solution
An operation time calculation device and method that uses operation result information to calculate operation times by setting an aggregation period, calculating total work and operation times, and adjusting an operation time conversion coefficient to minimize errors, allowing for accurate time calculation even with incomplete data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If operation time is calculated by subtracting operation start date and time from operation end date and time, then individual operation times can be obtained, but the method becomes impractical when start and end dates and times are missing or incomplete
Solution Approach 1:
The patent introduces an intermediary calculation approach that uses operation result information (such as production quantities, equipment usage records, and process data) as a mediator to estimate operation time when direct timestamp data is unavailable. This intermediary method bridges the gap between incomplete timestamp data and the need for operation time calculation by using alternative measurable parameters.
Solution Approach 2:
The patent changes the calculation parameters from relying exclusively on timestamp subtraction to using multiple alternative parameters including production quantities, equipment runtime records, and process-specific metrics. This parameter transformation allows the system to calculate operation time through different data pathways when original timestamp data is missing, thereby improving adaptability to incomplete data scenarios.
2Measurement precision
If operation time is calculated using complete start and end timestamps, then accurate individual operation times are obtained, but this requires perfect data recording which is not achievable on actual manufacturing floors with manual recording
Solution Approach 1:
The patent implements beforehand cushioning by preparing multiple calculation methodologies and data sources in advance. When timestamp data is missing, the system can immediately switch to alternative calculation methods using operation result information, equipment logs, or estimated values, thus cushioning against the reliability issues of manual data recording without compromising the ability to obtain operation time.
Solution Approach 2:
The patent incorporates feedback mechanisms that continuously monitor data quality and completeness. When timestamps are found to be missing or inconsistent, the system provides feedback to switch calculation modes, use default values, or flag records for manual review. This feedback loop ensures that the system adapts to data reliability issues while maintaining operational continuity and measurement capability.
Data Source
AI summary
The operation-time calculation device is configured such that the following processes are performed: a process in which operation-data information, work-time information, and operation-time information are stored in a storage unit, an input unit receives from a user parameter input at least including steps to be aggregated, aggregation start time, aggregation finish time, and aggregation unit time period, and a controller sets the aggregation time period on the basis of the parameters that were input; a process for converting total work time of the steps to be aggregated in each aggregation time period and the corresponding operation time using an operation-time conversion coefficient and calculating total operation time of the steps to be aggregated in the aggregation time period; a process for calculating the differential between total work time of the aggregation time period and total operation time; and a process for changing the operation-time conversion coefficient to minimize the differential.