Production Planning Control for Cross-Module Machining Sequences
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Modern production systems face challenges in coordinating and optimizing action sequences across multiple production modules, particularly when products or product variants change frequently, as existing planning programs lack automatic cross-domain coordination, relying on manual expert intervention which is complex and inefficient.
Innovation Solution
A computer-aided method and control device that break down the planning process into subproblems, using digital structural and machining statements to generate action sequences across different planning modules, allowing for real-time planning and cross-domain optimization by comparing and refining machining sequences based on detailed structural and machining statements stored in digital graphs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual expert coordination is used for action sequences, then planning accuracy can be maintained, but planning complexity and time increase significantly
Solution Approach 1:
The patent segments the planning problem into multiple independent planning levels (symbolic level with PDDL/OWL and specific planning domains like movement planning). Each level handles specific aspects of coordination independently, avoiding the need for manual expert coordination of the entire complex system while maintaining planning accuracy through hierarchical specialization.
Solution Approach 2:
The patent introduces an intermediary planning system that automatically translates high-level symbolic planning tasks into detailed action sequences for production modules. This intermediary layer handles the coordination complexity automatically, eliminating the need for manual expert intervention while maintaining planning accuracy.
2Adaptability or versatility
If frequent product changes are implemented, then adaptability improves, but coordination and optimization effort increases
Solution Approach 1:
The patent implements a dynamic planning system where action sequences are automatically regenerated based on current product specifications and production conditions. The system adapts to frequent product changes by dynamically adjusting planning parameters and re-optimizing coordination without requiring manual re-planning, thus maintaining high adaptability while minimizing coordination time.
Solution Approach 2:
The planning system performs self-service by automatically detecting product changes and regenerating appropriate action sequences without external intervention. The system monitors production conditions and autonomously optimizes coordination, enabling rapid adaptation to product variations while eliminating manual coordination effort.
3Productivity
If automated planning programs are used, then productivity increases, but cross-domain coordination capability is limited
Solution Approach 1:
The patent creates a universal planning framework that can handle multiple planning domains (symbolic planning with PDDL/OWL and specific domains like movement planning) through a single integrated system. The framework uses standardized interfaces and common data structures that work across different domains, enabling automated planning with cross-domain coordination capability while maintaining high productivity.
Data Source
AI summary
Producing a product, differently detailed structural information about a structure of the product and digital machining information about a machining process are read in. The structural information is examined as to whether a respective item of structural information is given further detail by a respective other structure. A plurality of machining sequences are generated from the structural information and machining information so that an item of structural information from a first machining sequence is given detail by an item of structural information from a second machining sequence. The first machining sequence is transmitted to a first planning module and the second machining sequence is transmitted to a second planning module. The planning modules generate an action sequence as a planning result, which is considered by the second planning module during generation of the action sequence. Control signals are output by the action sequence generated by the second planning module.