Operation Plan Creation Using Non-Work Biological Data
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Solution Overview
Problem
Existing operation plan creators do not consider an operator's mental load at non-work time, leading to inefficient assignment of tasks and increased workload, as they may assign high-fatigue operations to operators who are low in fatigue at work time but high in fatigue at non-work time.
Innovation Solution
An operation plan creation apparatus that obtains biological and living behavior information at both work and non-work times, estimates mental load, and creates plans based on attribute information and production planning to ensure appropriate task assignment, considering the operator's overall mental state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If operation assignment is based only on work-time biological information, then task allocation simplicity is improved, but operator mental load management deteriorates
Solution Approach 1:
The system performs preliminary estimation of operator mental load using biological information obtained during non-work time before creating the operation plan. This allows the system to anticipate the operator's mental state and make informed task assignments in advance, rather than reacting to work-time conditions alone.
Solution Approach 2:
The system extends the assessment dimension from only work-time biological information to include both work-time and non-work-time biological information. This multi-dimensional approach provides a more comprehensive view of operator mental state, enabling better task allocation decisions.
2Reliability
If operation plan considers non-work time biological information, then operator mental load management is improved, but information processing complexity increases
Solution Approach 1:
The biological information acquisition device serves multiple functions: it collects data during both work and non-work times, and this same data is used for both estimating current mental load and predicting future mental states. This multi-functionality reduces the need for separate specialized systems.
Solution Approach 2:
The system uses biological information as an intermediary indicator to infer operator mental state without requiring direct measurement of complex psychological parameters. This intermediary approach simplifies the information processing by working with measurable physiological data rather than abstract mental states.
3Productivity
If operation assignment ignores non-work time fatigue, then planning efficiency is improved, but operator workload balance deteriorates
Solution Approach 1:
The system incorporates feedback from non-work time biological information into the operation planning process. This feedback loop allows the system to continuously adjust task assignments based on the operator's actual mental state, ensuring better workload balance while maintaining planning efficiency through automated decision-making.
Data Source
AI summary
The object is to provide a technology for enabling creation of an appropriate operation plan in consideration of states of operators at work time and at non-work time. An obtaining unit obtains at least one of biological information or living behavior information of an operator at work time and at non-work time, attribute information on the operator, and production planning on the operator, a load estimator estimates a mental load amount on the operator, based on the at least one of the biological information or the living behavior information, and an operation plan creation unit creates an operation plan of the operator, based on the attribute information, the production planning, and the mental load amount.