Production Planning With Dynamic Worker-Machine Assignment
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Solution Overview
Problem
Existing production planning methods often result in inefficient allocation of workers to machines, impairing production flow and failing to adapt to real-time changes, leading to suboptimal production efficiency.
Innovation Solution
An apparatus and method for optimizing production planning by importing planning data, competency, and availability information, using mixed integer optimization to determine worker assignments and production sequences, with modules for simulation, validation, and prediction to refine and adapt planning data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If fixed worker assignment to machines is used for production planning, then planning simplicity is maintained, but production efficiency deteriorates
Solution Approach 1:
The system transitions from static fixed worker assignments to dynamic optimized assignments. The optimization module continuously calculates and adjusts worker-machine assignments based on current production requirements, worker competencies, and availability, enabling the planning system to adapt dynamically to changing conditions while maintaining efficiency.
Solution Approach 2:
The system changes the parameter of worker assignment from fixed to optimized variable assignments. By introducing optimization algorithms that consider multiple parameters (worker competencies, availability, machine requirements), the system transforms rigid planning into flexible parameter-based optimization, resolving the contradiction between simplicity and efficiency.
2Adaptability or versatility
If a priori production planning is implemented, then planning stability is maintained, but adaptability to real-time changes deteriorates
Solution Approach 1:
The system performs preliminary optimization calculations to pre-determine worker assignments and production sequences. By preparing optimized plans in advance based on available data, the system reduces the time needed for real-time adjustments while maintaining adaptability to changes through the optimized baseline plan.
Solution Approach 2:
The system implements feedback mechanisms where optimization results are continuously monitored and fed back into the planning process. When changes occur in production requirements or worker availability, the system uses feedback from the optimization module to quickly recalculate and adjust assignments, minimizing recalculation time while maintaining adaptability.
3Productivity
If traditional production planning is used, then implementation simplicity is maintained, but production flow efficiency deteriorates
Solution Approach 1:
The system replaces manual or mechanical planning methods with computational optimization algorithms. By substituting traditional mechanical planning processes with automated optimization systems that consider worker competencies, availability, and production requirements, the system achieves improved production flow efficiency despite the increased complexity of the optimization infrastructure.
Data Source
AI summary
Various embodiments of the teachings herein include an apparatus for optimizing production planning for production of a product, wherein workers are assigned to operate machines for producing the product. An example includes: an interface to import planning data for the production and competency information regarding machine operation and availability information of the workers; a first optimization module to determine an optimized percentage assignment of the workers to the respective machines for a defined time period based on the planning data, the competency information, and the availability information; a second optimization module to determine optimized production planning data, wherein an optimized time sequence of respective production steps is determined based on the planning data with respect to the workers and machines according to the percentage assignment and the number of workers needed for a production step; and an output module to distribute the optimized production planning data.