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Open research questions in Manufacturing Process and Optimization

97 gap statements mined from Manufacturing Process and Optimization papers in our 4.5M-paper local library, which holds 1,314 papers on the topic — drawn mostly from each paper's own stated research gap, future-work, challenge and limitation notes, and its abstract. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one.

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What the literature leaves open

  • As stated earlier, one key limitation of traditional MCDM frameworks is that they primarily rely on a single weighting scheme or ranking logic to select the best alternative(s).

    A Product Lifecycle Management-Oriented Fuzzy MCDM Model for Prioritizing Virtual Reality and Augmented Reality Applications in Industrial Design and Manufacturing: Design Optimization and Robustness Analysis · 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.

    Agent-Aided Design for Dynamic CAD Models · 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

  • 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

  • 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

  • While further work is needed to fully incorporate analytical definitions, optimise manufacturing, and validate on an industrial scale, the results show that geometry-focused governance offers a practical way to achieve more consistent, model-driven, and manufacturing-aligned prefabricated timber delivery.

    Digital Integration Through Parametric Geometry Governance: A Framework for Design-to-Manufacturing in Prefabricated Timber Construction · 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

  • 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

  • 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

  • Future research will focus on extending the proposed framework along several directions that follow directly from the limitations above. Several limitations of this study should be acknowledged. Public benchmarks offering comparable fabrication-outcome labels for 3D mechanical designs are currently lacking; validation on additional external or cross-industry datasets is therefore left to future work.

    A hybrid machine learning framework for robust feasibility prediction of 3D mechanical designs using scalar and geometric features · 2026 · DOI

  • The paper identifies the challenge of connecting computation to physical realization, - The paper identifies the challenge of determining which reduction of the candidate family preserves the decisions that remain, - The paper identifies the challenge of optimizing the performance of computer systems.

    Designing with Computation-Realization Geometry: Certified Architecture Selection, Technology Matching, and Reference Physical Realization · 2026 · DOI

  • The experiment is run on a unified hardware platform. The algorithm is tested on a limited number of scenarios. The paper does not provide a comprehensive comparison with other state-of-the-art methods.

    Modular Structure Parameter Generation Algorithm for Rapid Assembly and Disassembly in Temporary Environments · 2026 · DOI

  • Existing SSMs focus explicitly on generating variable vascular tree structures, but do not address the need for controllable editing. The current model configuration assumes a fixed number of branches and a predefined connectivity pattern, limiting its applicability to other vascular regions.

    HUG-VAS: A hierarchical NURBS-based generative model for aortic geometry synthesis and controllable editing · 2026 · DOI

  • Cross-project defect prediction (CPDP) leverages machine learning (ML) techniques to proactively identify software defects, especially where project-specific data is scarce.

    MBL-CPDP: A Multi-Objective Bilevel Method for Cross-Project Defect Prediction · 2025 · DOI

  • Traditional tolerance allocation methods do not account for the relationship between part size and achievable tolerance grades.

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

  • Virtual debugging technology can solve these problems but requires accurate kinematic modeling and dynamic interference inspection.

    Electromechanical virtual debugging and manufacturing system based on kinematic modeling and dynamic interference inspection · 2026 · DOI

  • Applying the proposed method to other robot designs. Exploring the applicability of the method to other types of mechanisms. Investigating the potential applications of the proposed approach in various fields.

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

  • In future work, we plan to extend CADDesigner by incorporating learning-based methods that accept point clouds and B-rep data as input, allowing the system to learn geometric and topological constraints through data-driven training.

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

  • Further testing of the algorithm on a wider range of scenarios. Comparison with other state-of-the-art methods. Exploration of the algorithm's applicability to other domains.

    Modular Structure Parameter Generation Algorithm for Rapid Assembly and Disassembly in Temporary Environments · 2026 · DOI

  • Expanding the training dataset to encompass a broader spectrum of pathologies - Coupling HUG-VAS with large language models to provide more intuitive, user-friendly control of the generation…

    HUG-VAS: A hierarchical NURBS-based generative model for aortic geometry synthesis and controllable editing · 2026 · DOI

Most-cited papers in Manufacturing Process and Optimization

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Open questions raised by papers listed on this page include: (1) 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…”, 2026); (2) The lack of integrated intelligent environments in production systems (“Toolkit for creating digital twins of metal-cutting machine tools”, 2026); (3) The lack of a comprehensive automated solution for verification based on a 3D model and textual process plan (“Algorithm for automated verification of the technological process based on a…”, 2026); (4) There is a need for intelligent decision-making systems that can manage complex process variables in manufacturing (“Inference-Driven Intelligent Manufacturing Decision Support Combining…”, 2026); (5) The lack of integration of generative joinery design, tolerance-aware robotic fabrication, and spatially guided reconfiguration (“Timber system with robotic milling and AR-guided assembly for reconfiguration”, 2026). 97 gap statements have been mined from Manufacturing Process and Optimization papers in our 4.5M-paper local library, which holds 1,314 papers on the topic; the gaps come from whichever of those papers state one. They are mostly the research gaps the authors state and the papers' abstracts, plus future-work, limitations and challenges passages. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one, so you can read the original claim in context.

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