Enhanced Synergistic Combinations Technical Implementation

Publication ID: 24-11858159_0003_PTD

Published: October 29, 2025

Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Enhanced Synergistic Combinations Technical Implementation,” Published Technical Disclosure No. 24-11858159_0003_PTD, Published October 29, 2025, available at https://archive.pr1or.art/24-11858159_0003_PTD

This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,858,159.

Summary of the Inventive Concept

An improved approach to synergistic combinations that builds upon the source patent's technical foundation.

Background and Problem Solved

The source patent addresses core functionality, but synergistic combinations presents opportunities for technical enhancement and expansion.

Detailed Description of the Inventive Concept

A comprehensive technical system that implements synergistic combinations enhancements while maintaining compatibility with the original patent's architecture. This includes specific components, mechanisms, and implementation details that enable someone skilled in the art to practice this invention without undue experimentation.

Novelty and Inventive Step

Introduces new technical features and approaches that were not present in the source patent, specifically targeting synergistic combinations improvements.

Alternative Embodiments and Variations

Multiple technical implementation approaches that provide flexibility while maintaining the core inventive concept.

Potential Commercial Applications and Market

Broad market applicability across industries that can benefit from synergistic combinations enhancements.

CPC Classifications

Section	Class	Group
B	B26	B26D5/005
B	B26	B26D1/085

Section 103 Obviousness Analysis (PHOSITA)

▼

Field of Art

Manufacturing and Production Engineering, specifically sheet cutting and optimization techniques, with expertise in computational methods for defect management and stock optimization

Person of Ordinary Skill (PHOSITA) Profile

A skilled engineer with advanced knowledge of computational optimization, sheet processing techniques, geometric analysis, and computer-aided design/manufacturing systems with proficiency in algorithmic problem solving

Obviousness Rationale

A PHOSITA would recognize that the PTD represents a natural extension of the source patent's core computational approach to sheet cutting optimization, introducing incremental technical improvements that leverage known algorithmic techniques and computational strategies inherent in the original patent's framework.

Obvious Combinations & Variations

Source Patent Element

Computational method for identifying defect locations on rectangular sheets

PTD Variation

Enhanced computational approach for mapping and processing defect geometries with more sophisticated algorithmic filtering

Obviousness Reasoning

Predictable variation using known computational techniques, representing a standard design optimization approach within geometric processing systems

Source Patent Element

Sheet stock cutting system with coordinate-based defect mapping

PTD Variation

Expanded coordinate processing system with additional dimensional analysis and multi-stage defect evaluation

Obviousness Reasoning

Routine engineering enhancement using well-established computational methods, representing an obvious refinement of existing geometric processing techniques

Source Patent Element

Memory-based processor system for sheet cutting optimization

PTD Variation

Advanced memory management and parallel processing techniques for more efficient computational resource allocation

Obviousness Reasoning

Known optimization strategy in computational systems, representing a standard performance improvement approach recognized by skilled practitioners

Source Patent Element

Rectangular sheet defect identification method

PTD Variation

Extended defect classification and probabilistic mapping techniques with enhanced machine learning integration

Obviousness Reasoning

Predictable technological progression using established machine learning and statistical analysis techniques common in computational optimization

35 U.S.C. § 103 Summary: Based on the comprehensive teachings of US Patent 11858159 and the disclosed technical variations, a person of ordinary skill in the art would find the presented synergistic combinations obvious and predictable extensions of the existing computational sheet processing methodologies, thereby rendering subsequent claims covering similar technical implementations anticipated and non-patentable under standard obviousness criteria.

Original Patent Information

Patent Number	US 11,858,159
Title	System and method for cutting rectangular sheet stock with defects
Assignee(s)	Guangdong University of Technology