Sawmill Sawing Configuration for Demand-Driven Timber Yield
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Solution Overview
Problem
Current sawmill processes face inefficiencies in timber production, as existing methods do not adequately account for market demand, raw material usage, and production capacity, leading to suboptimal production of timber products that may not meet customer needs or be profitable.
Innovation Solution
A computer-implemented method and system for controlling sawing of logs, which uses a statistical optimization model to determine the best sawing configuration based on optimization objectives such as quality, production capacity, material use efficiency, and processing time, allowing for real-time monitoring and adjustment of sawing patterns to optimize timber production.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of substance
If traditional sawing methods are used, then production capacity is maintained, but material use efficiency and profitability deteriorate due to suboptimal timber production that does not meet market demands
Solution Approach 1:
The system performs preliminary actions by obtaining log data, timber lot orders, and sawing pattern data before actual sawing operations. The optimization model pre-calculates the optimal sawing configuration by evaluating multiple sawing patterns against market demands and production requirements, determining the best material usage strategy before any cutting occurs. This preliminary optimization ensures maximum material efficiency while avoiding the complexity of real-time adjustments during sawing.
2Productivity
If optimization model is implemented, then material use efficiency and market demand alignment improve, but processing time increases due to computational requirements
Solution Approach 1:
The optimization calculation is performed in advance as a preliminary action before the actual sawing process begins. By pre-determining the optimal sawing configuration based on available data about logs, timber lot orders, and sawing patterns, the system eliminates the need for time-consuming computations during production. This allows the sawmill to achieve high timber production efficiency by following the pre-optimized configuration without real-time computational delays.
3Adaptability or versatility
If fixed sawing patterns are used, then operational simplicity is maintained, but adaptability to different market demands and log classes deteriorates
Solution Approach 1:
The system implements dynamic adaptability by selecting different sawing patterns based on varying conditions including log class, timber lot order requirements, and market demands. Rather than using fixed patterns, the optimization model dynamically determines the most appropriate sawing configuration for each specific scenario. This dynamic approach enables the system to adapt to different market demands and log characteristics while maintaining operational simplicity through automated decision-making that replaces complex human judgment with algorithmic optimization.
Data Source
AI summary
A computer-implemented method for controlling sawing of logs, including obtaining information of a timber lot configured to be produced from logs configured to be sawn, obtaining an optimization objective for a statistical optimization model configured to be used for producing the timber lot, and determining a sawing configuration including at least one sawing pattern for a saw, which sawing configuration is determined based on the optimization objective, which at least one sawing pattern is configured to be used for sawing the logs to timber of the timber lot. The disclosure further relates to a sawing controlling system and a computer program product performing the method.