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Open research questions in Manufacturing Process and Optimization

49 unresolved questions extracted from the limitations and future-work sections of 520 Manufacturing Process and Optimization papers in our library. Each links back to the study that raised it.

What the literature leaves open

  • Hallucination and outdated knowledge pose significant risks in high-reliability manufacturing environments. Manual construction of knowledge graphs remains costly and time-consuming. Existing approaches require either detailed pre-definition of rules or mathematical models or reliance on sufficient training data and environmental coverage.

    A Review of Knowledge Base Construction Strategies for LLM-based Intelligent Decision Support System in Material Selection and Process Planning · 2026 · DOI

  • The gap between existing data-driven approaches and expert systems in generalization and knowledge acquisition. The need for a systematic methodology to integrate reliable external knowledge with a parameterized LLM.

    A Review of Knowledge Base Construction Strategies for LLM-based Intelligent Decision Support System in Material Selection and Process Planning · 2026 · DOI

  • Persistent gaps between design documentation and on-site practices make it difficult to identify and resolve manufacturing and assembly errors in real time. The lack of a standardized data- and model-driven digital engineering framework for steel girders.

    A Data- and Model-Driven Information Delivery Schema for Steel Girder Design, Manufacturing, and Assembly · 2026 · DOI

  • Existing systems cannot build complex 3D assemblies with moving parts. There is a need for a system that can generate dynamic CAD models. Current LLMs are imperfect spatial reasoners.

    Agent-Aided Design for Dynamic CAD Models · 2026 · DOI

  • The disassembly line balancing problem is a complex optimization problem. The learning effect of disassembly and assembly workers needs to be considered. The algorithm needs to optimize two objectives simultaneously.

    Improved Fruit Fly Algorithm for Multi-Objective Disassembly Line Balancing Problem Considering Learning Effect · 2026 · DOI

  • The current methodology has dual issues of the semantic gap and the manufacturing gap. The ability to convert detailed consumer needs into manufacturable designs is a major obstacle.

    User Demand Prediction and Solution Generation in Textile Product Development and Design Based on Machine Learning · 2026 · DOI

  • The semantic gap between user needs and manufacturable designs. The manufacturing gap between design solutions and feasible manufacturing regions.

    User Demand Prediction and Solution Generation in Textile Product Development and Design Based on Machine Learning · 2026 · DOI

  • While augmented reality (AR) and artificial intelligence (AI) have shown potential for improving manual assembly, integrated AR-AI architectures connected to existing IT infrastructure remain underexplored.

    AI-/AR-Architecture for Operation Processes in Smart Factories · 2026

  • The study is limited to UK and West German manufacturing companies. The research does not provide a comprehensive analysis of the technological sophistications of the equipment.

    Automating the Shop Floor: Applications of CNC in Manufacturing in Great Britain and West Germany <sup>1</sup> · 1983 · DOI

  • The paper identifies a gap in the understanding of the implications of CNC technology on the workplace and the workers. The study highlights the need for further research on the organizational and social implications of CNC technology.

    Automating the Shop Floor: Applications of CNC in Manufacturing in Great Britain and West Germany <sup>1</sup> · 1983 · DOI

  • The study employs NSGA-II with fixed population size (20) and generations (60); the robustness and optimality of results across different optimization algorithm parameters and alternative multi-objective optimization methods remains unexplored.

    Simultaneous dimension and tolerance design for robot manipulator considering cost and positioning accuracy reliability · 2026 · DOI

  • While AADvark represents a promising first step towards Agent- Aided Design of dynamic CAD models, it does have limitations. For now, the system can only use rectangular prisms for parts and the only dynamic joint which it supports is a revolute joint. In the future, we intend to expand the set of parts and joints that AADvark can create to allow it to design any object that FreeCAD can support. Finally, due to the non-deterministic nature of agentic execution, we observed that AADvark sometimes will get stuck on its assembly design. We found that simply restarting the agent can often times resolve the issue, but in the future we aim to investigate the underlying causes of the agent getting stuck.

    Agent-Aided Design for Dynamic CAD Models · 2026 · DOI

  • Further evaluation of CADDesigner in various application domains, - exploration of new LLMs and vision-language models, - development of more advanced CAD generation agents

    CADDesigner: Conceptual CAD model generation with a general-purpose agent · 2026 · DOI

  • Traditional CAD platforms have limitations, - parametric CAD model generation approaches have limitations, - there is a need for a general-purpose agent for CAD model generation

    CADDesigner: Conceptual CAD model generation with a general-purpose agent · 2026 · DOI

  • The study identifies the need to optimize two objectives simultaneously: maximizing the disassembly profit and maximizing the learning outcomes of the workers. The DLBP-MLW model does not consider the learning effect of disassembly and assembly workers.

    Improved Fruit Fly Algorithm for Multi-Objective Disassembly Line Balancing Problem Considering Learning Effect · 2026 · DOI

  • The paper does not provide a detailed discussion of limitations. Further collaboration with industry partners and on-site testing are necessary to validate scalability and robustness.

    Human-Robot Collaborative Disassembly Profit Maximization via Improved Grey Wolf Optimizer · 2026 · DOI

  • Apply the improved grey wolf optimizer to solving multiobjective circular disassembly line balancing problems. Improve the flexibility of human-robot collaborative disassembly. Apply the algorithm to handle more complex problems in real-world manufacturing and remanufacturing contexts.

    Human-Robot Collaborative Disassembly Profit Maximization via Improved Grey Wolf Optimizer · 2026 · DOI

  • The need to enhance production efficiency while maintaining high product quality standards. The lack of integration of manufacturing and assembly considerations into the early design phase.

    The Influence of Design for Manufacturing and Assembly on Production Efficiency and Product Quality; A Case Study of a 0.5 Inch Class 800LB Ball Valve · 2026 · DOI

  • Ensuring stable and reliable quality in additive manufacturing remains a major challenge. Geometric imperfections can significantly degrade product functionality. There is a need for a framework to model geometric deviations in additive manufacturing.

    Analysis of Geometric Tolerances with Integration of Deviations Resulting from Additive Manufacturing (FDM): Case of Parallelism of a Plane Surface · 2026 · DOI

  • Most modern technological equipment, including metal-cutting machine tools, remains informationally isolated systems. The lack of integrated intelligent environments in production systems.

    Toolkit for creating digital twins of metal-cutting machine tools · 2026 · DOI

  • The lack of a comprehensive automated solution for verification based on a 3D model and textual process plan. The limitations of existing CAD/CAM systems in addressing comprehensive automated verification of route-operational process plans.

    Algorithm for automated verification of the technological process based on a digital TWIN · 2026 · DOI

  • The existing systems are not dynamic and do not possess the ability to update themselves in real-time. There is a need for intelligent decision-making systems that can manage complex process variables in manufacturing.

    Inference-Driven Intelligent Manufacturing Decision Support Combining Retrieval-Augmented Generation and Industrial Knowledge Graphs · 2026 · DOI

  • The lack of integration of generative joinery design, tolerance-aware robotic fabrication, and spatially guided reconfiguration. The need for a coherent parametric-to-physical process for precise, low-waste, and reconfigurable timber construction.

    Timber system with robotic milling and AR-guided assembly for reconfiguration · 2026 · DOI

  • Scalability and decentralized fabrication methods are a key focus for future research. The GRAFT framework can be applied to various timber construction typologies, enabling scalable and machine-driven data infrastructures.

    GRAFT: a relational data framework for robotic timber fabrication and assembly · 2026 · DOI

  • The underlying data management workflows in the AEC industry remain linear and opaque. There is a need for a graph-based data infrastructure that captures dependencies among design intent, joint topology, and robotic constraints.

    GRAFT: a relational data framework for robotic timber fabrication and assembly · 2026 · DOI

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49 open questions have been extracted from the limitations and future-work passages of 520 Manufacturing Process and Optimization papers in our library. Each one below links back to the study that raised it, so you can read the original claim in context.

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