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scheduling production processes

GeneTech 知识引擎共收录 88 篇相关科研实体，横跨 12 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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代表性文献（按质量分排序，前 60 条）

• Dynamic Carbon-Aware Scheduling for Electric Vehicle Fleets Using VMD-BSLO-CTL Forecasting and Multi-Objective MPC
  2026 · 碳中和与 CCUS · Accurate perception of dynamic carbon intensity is a prerequisite for low-carbon demand-side response. However, traditional grid-average carbon factors lack the spatio-temporal granularity required for real-time regulati…
• Multi‐Objective Energy Management for an Integrated Energy System With Small Modular Reactors Considering Uncertainty
  2026 · 碳中和与 CCUS · An integrated energy system (IES) can alleviate energy crises, promote multi‐energy complementarity, and enhance finer‐grained energy development. Nuclear power is clean and efficient, mainly when using small modular rea…
• Research on the Bi-Level Optimal Scheduling Model and Method for Integrated Energy Systems with Multi-Energy Flow Coupling
  2026 · 碳中和与 CCUS · To enhance the market-oriented operation capability of integrated energy retailers and improve the synergy and economic efficiency of complex microgrids, this paper constructs a bi-level optimization model of “upper-leve…
• A proactive digital twin framework for dynamic pull scheduling in modular construction factories
  2026 · 数字孪生 · Achieving continuous flow in modular construction is challenging due to high-mix variability, where traditional static methods often fail, leading to excess Work-in-Process (WIP) and flow stagnation.This study proposes a…
• Multi-Agent Reinforcement Learning for Adaptive Resource Orchestration in Cloud-Native Clusters
  2025 · AI Agent 生态 · This paper addresses the challenges of high resource dynamism and scheduling complexity in cloud-native database systems. It proposes an adaptive resource orchestration method based on multi-agent reinforcement learning.…
• AI-driven job scheduling in cloud computing: a comprehensive review
  2025 · 生物计算 · The demand for efficient job scheduling in cloud computing has grown significantly with the rise of dynamic and heterogeneous cloud environments. While effective in simpler systems, traditional scheduling algorithms fail…
• Optimal scheduling of integrated energy system with gas-liquid phase change carbon dioxide energy storage considering multi-layer low-carbon benefits.
  2025 · 碳中和与 CCUS · Integrating a carbon dioxide energy storage system (CES) with an integrated energy system (IES) can significantly enhance renewable energy utilization, reduce carbon emissions, and improve both economic and environmental…
• Coordinated Active–Reactive Power Scheduling of Battery Energy Storage in AC Microgrids for Reducing Energy Losses and Carbon Emissions
  2025 · 碳中和与 CCUS · This paper presents an optimization-based scheduling strategy for battery energy storage systems (BESS) in alternating current microgrids, considering both grid-connected and islanded operation. The study addresses two i…
• Energy scheduling of renewable integrated system with hydrogen storage in distribution grid including charging and hydrogen stations of electric vehicles
  2025 · 碳中和与 CCUS · In this article, the energy management of the intelligent distribution system with charging stations for battery-based electric vehicles (EVs) and plug-in hybrid EVs, hydrogen station for fuel cell-based EVs, and renewab…
• Digital Twin-Enabled Distributed Robust Scheduling for Park-Level Integrated Energy Systems
  2025 · 数字孪生 · With the deepening of multi-energy coupling and the integration of high proportions of renewable energy, the Park Integrated Energy System (PIES) 1demonstrates enhanced energy utilization flexibility. However, the random…
• Digital-twin-based dynamic flexible job shop scheduling problem via multi-agent proximal policy optimisation
  2025 · 数字孪生 · Despite advancements in optimisation techniques, existing flexible job shop problem (FJSP) models are reactive and struggle with dynamic scheduling. Digital twin (DT) technology offers a solution. This study integrates D…
• Digital Twin-Driven Operational Management Framework for Real-Time Decision-Making in Smart Factories
  2025 · 数字孪生 · To improve operational efficiency, adaptability, and sustainability in an intelligent factory within the Industry 4.0 era, decision-making must happen in real-time. This paper presents a framework that relies on Digital …
• Multi-resource constrained elective surgical scheduling with Nash equilibrium toward smart hospitals
  2025 · 数字孪生 · This paper focuses on the elective surgical scheduling problem with multi-resource constraints, including material resources, such as operating rooms (ORs) and non-operating room (NOR) beds, and human resources (i.e., su…
• Explainable AI for reinforcement learning based dynamic scheduling solutions in semiconductor manufacturing
  2025 · 数字孪生 · Abstract The scheduling of complex job shop manufacturing environments is a difficult and NP-hard optimization problem. It is tackled increasingly with AI-based methods, often by reinforcement learning approaches. So far…
• Statistical Learning-Assisted Evolutionary Algorithm for Digital Twin-Driven Job Shop Scheduling with Discrete Operation Sequence Flexibility
  2025 · 数字孪生 · With the rapid development of Industry 5.0, smart manufacturing has become a key focus in production systems. Hence, achieving efficient planning and scheduling on the shop floor is important, especially in job shop envi…
• Leveraging artificial intelligence and optimization for agile AGV scheduling in an edge-to-cloud manufacturing framework
  2025 · 边缘智能 · Abstract Optimizing the scheduling of Automated Guided Vehicles (AGVs) is a critical task in the context of smart manufacturing, particularly in Industry 4.0, where operational efficiency, sustainability, and adaptabilit…
• On-demand ridesharing based on dynamic scheduling in urban air mobility
  2025 · 低空经济 · Urban Air Mobility (UAM) utilizes electric vertical take-off and landing (eVTOL) aircraft to provide fast, reliable air transport services in cities and surrounding areas. As a flexible mode of transportation service, UA…
• A systematic literature review for load balancing and task scheduling techniques in cloud computing
  2024 · 生物计算 · Cloud computing is an emerging technology composed of several key components that work together to create a seamless network of interconnected devices. These interconnected devices, such as sensors, routers, smartphones,…
• SSKHOA: Hybrid Metaheuristic Algorithm for Resource Aware Task Scheduling in Cloud-fog Computing
  2024 · 生物计算 · Cloud fog computing is a new paradigm that combines cloud computing and fog computing to boost resource efficiency and distributed system performance. Task scheduling is crucial in cloud fog computing because it decides …
• Low-Carbon Optimization Scheduling of Integrated Energy Systems Based on Bilateral Demand Response and Two-Level Stackelberg Game
  2024 · 碳中和与 CCUS · In the context of low-carbon energy transformation, fully utilizing the integrated demand response (IDR) resources on the load side can improve the operational flexibility and economy of the integrated energy system (IES…
• V2G Carbon Accounting and Revenue Allocation: Balancing EV Contributions in Distribution Systems
  2024 · 碳中和与 CCUS · Accurate carbon emission accounting for electric vehicles (EVs) is particularly important, especially for those participating in the carbon market. However, the participation of numerous EVs in vehicle-to-grid (V2G) sche…
• Digital twin for production estimation, scheduling and real-time monitoring in offsite construction
  2024 · 数字孪生 · The variability in production operations in offsite construction factories undermines the effectiveness of using average production rates for estimating production time and scheduling. In fact, production schedules based…
• Live fitting of process data within digital twins of manufacturing to use simulation and optimisation
  2024 · 数字孪生 · In production scenarios, uncertainty in production times, and scrap rates is common. Uncertainty can be described by stochastic models that need continuous updates due to changing conditions. This paper models probabilit…
• A Semantic Digital Twin for the Dynamic Scheduling of Industry 4.0-based Production of Precast Concrete Elements
  2024 · 数字孪生 · Precast concrete construction enhances project efficiency, sustainability, and durability by leveraging a controlled production environment that ensures high-quality outputs. Still, the sequential nature of off-site prod…
• Digital Twin-Driven Dynamic Scheduling of Flexible Manufacturing System in the Context of Smart Factory Producing Brass Accessories
  2024 · 数字孪生 · This study aims to deal with a dynamic scheduling problem of a real Flow Shop follow-up of an assembly process considering the specific constraints and requirements of a brass accessories manufacturing (BAM) company. We …
• Optimized eVTOL Aircraft Scheduling - An Answer Set Programming Based Approach
  2024 · 低空经济 · The emergence of electric vertical-take-off-and-landing (eVTOL) aircraft as a potential and robust transportation means brings a lot of excitement and several challenges. Among the challenges is the eVTOLs scheduling pro…
• Integration of Industry 5.0 requirements in digital twin-supported manufacturing process selection: a framework
  2023 · 数字孪生 · Process selection has been an integral part of manufacturing design and operation, with a close link to manufacturing process modeling. Throughout the years, it has been enriched with many criteria, such as energy effici…
• Digital-Twin-Driven AGV Scheduling and Routing in Automated Container Terminals
  2023 · 数字孪生 · Automated guided vehicle (AGV) scheduling and routing are critical factors affecting the operation efficiency and transportation cost of the automated container terminal (ACT). Searching for the optimal AGV scheduling an…
• DT-SFC-6G: Digital Twins Assisted Service Function Chains in Softwarized 6G Networks for Emerging V2 X
  2023 · 数字孪生 · Vehicle-to-X (V2X) with specific user-defined performance metrics emerges as one vital application scenario in sixth generation (6G) networks. According to released reports and whitepapers, 6G networks are designed to ha…
• Task-Efficiency Oriented V2X Communications: Digital Twin Meets Mobile Edge Computing
  2023 · 数字孪生 · Digital Twin (DT) has emerged as an enabling technology for sixth generation (6G) vehicle-to-everything (V2X) communications. However, there are two crucial issues on leveraging DT for 6G V2X communications. First, what …
• When Moving Target Defense Meets Attack Prediction in Digital Twins: A Convolutional and Hierarchical Reinforcement Learning Approach
  2023 · 数字孪生 · With rapid development of emerging technologies for Internet of Things (IoT), digital twins (DT) have been proposed to support a wide variety of applications. A mobile network is expected to be integrated with DT to form…
• Port Digital Twin Development for Decarbonization: A Case Study Using the Pusan Newport International Terminal
  2023 · 数字孪生 · The maritime industry is a major carbon emission contributor. Therefore, the global maritime industry puts every effort into reducing carbon emissions in the shipping chain, which includes vessel fleets, ports, terminals…
• Dynamic Scheduling and Optimization of AGV in Factory Logistics Systems Based on Digital Twin
  2023 · 数字孪生 · At present, discrete workshops demand higher transportation efficiency, but the traditional scheduling strategy of the logistics systems can no longer meet the requirements. In a transportation system with multiple autom…
• Digital twin-based multi-level task rescheduling for robotic assembly line
  2023 · 数字孪生 · Assembly is a critical step in the manufacturing process. Robotic assembly technology in automatic production lines has greatly improved the production efficiency. However, in assembly process, dynamic disturbances such …
• A digital twin-driven dynamic path planning approach for multiple automatic guided vehicles based on deep reinforcement learning
  2023 · 数字孪生 · With the increasing demand for customization, the tendency of mechanical manufacturing has gradually shifted to flexible and mixed-line production, which brings new challenges to the existing scheduling pattern. As an in…
• Collaborative Scheduling for Multi-Energy Coupling System of Oil-Gas Storage & Transportation and Smart Grid
  2026 · 碳中和与 CCUS · With the rapid development of the global energy background, the situation that traditional energy sources and emerging energy sources are independent and do not interfere with each other has long been unable to maintain …
• Intelligent Algorithms for Prefabricated Concrete Component Production Scheduling: A Bibliometric Review of Trends, Collaboration Networks, and Emerging Frontiers
  2026 · 数字孪生 · Precast concrete (PC) component production scheduling is essential to the efficiency and reliability of industrialized construction. Although intelligent algorithms have been widely applied in this field, the relationshi…
• AIoT-Enabled Digital Twin Systems For Industrial Automation And Smart Manufacturing
  2026 · 数字孪生 · The integration of AIoT technology with DT technologies is the basis of a new industrial revolution in industrial automation and intelligent manufacturing. This study develops a framework for AIoT-based digital twin syst…
• ALAS: A Stateful Multi-LLM Agent Framework for Disruption-Aware Planning
  2025 · AI Agent 生态 · Large language models (LLMs) excel at rapid generation of text and multimodal content, yet they falter on transaction-style planning that demands ACID-like guarantees and real-time disruption recovery. We present Adaptiv…
• Industrial Scheduling in the Digital Era: Challenges, State-of-the-Art Methods, and Deep Learning Perspectives
  2025 · 数字孪生 · Industrial scheduling plays a central role in Industry 4.0, where efficiency, robustness, and adaptability are essential for competitiveness. This review surveys recent advances in reinforcement learning, digital twins, …
• Digital Twin for Energy-Aware High-Performance Computing
  2025 · 数字孪生 · High-Performance Computing (HPC) has traditionally focused on maximizing performance. Over time, HPC clusters have become larger and require more energy. Widespread adoption of machine learning and the integration of acc…
• Multi-Period MIP Models for Real-Time Scheduling and Resource Allocation in Digital Twin-Enabled Systems
  2025 · 数字孪生 · The use of Digital Twin (DT) technology in advanced industrial systems enables us to have better real-time monitoring, control, and optimization of complex processes. This paper presents new multi-period mixed-integer pr…
• A framework for campaign level asteroid mining pre-feasibility study
  2022 · 地外矿物 · View Video Presentation: https://doi.org/10.2514/6.2022-2583.vid This paper presents a framework for campaign level asteroid mining pre-feasibility study. The framework is designed to support realistic mining campaign de…
• EdgeMatrix: A Resource-Redefined Scheduling Framework for SLA-Guaranteed Multi-Tier Edge-Cloud Computing Systems
  2022 · 生物计算 · With the development of networking technology, the computing system has evolved towards the multi-tier paradigm gradually. However, challenges, such as multi-resource heterogeneity of devices, resource competition of ser…
• Coordinated optimization scheduling operation of integrated energy system considering demand response and carbon trading mechanism
  2022 · 碳中和与 CCUS · The low-carbon economy operation of the integrated energy system can be realized by introducing the demand response and carbon trading mechanism into the optimal scheduling of the integrated energy system. In this paper,…
• Day‐ahead optimal scheduling of building energy microgrids based on time‐varying virtual energy storage
  2022 · 碳中和与 CCUS · Abstract The thermal inertia of a building envelope endows a building with a heat storage capability, introducing scheduling flexibility to a building energy microgrid (BEM). The flexibility is usually modelled as virtua…
• Dynamic Scheduling Optimization of Production Workshops Based on Digital Twin
  2022 · 数字孪生 · Production scheduling is the key to manufacturing process decision support, which directly affects the efficiency and competitiveness of enterprises. The production process of discrete workshops is complex and changeable…
• Digital Twin of a Flexible Manufacturing System for Solutions Preparation
  2022 · 数字孪生 · In the last few decades, there has been a growing necessity for systems that handle market changes and personalized customer needs with near mass production efficiency, defined as the new mass customization paradigm. The…
• Accelerating HPC With Quantum Computing: It Is a Software Challenge Too
  2022 · 量子计算 · With quantum computing (QC) maturing, high-performance computing (HPC) centers are already preparing to host early-phase production versions of such systems. Unlike their experimental predecessors in physics laboratories…
• Orchestrated Scheduling and Multi-Agent Deep Reinforcement Learning for Cloud-Assisted Multi-UAV Charging Systems
  2021 · AI Agent 生态 · This paper proposes a cloud-assisted joint charging scheduling and energy management framework for unmanned aerial vehicle (UAV) networks. For charging the UAVs those are extremely power hungry, charging towers are consi…
• Optimal low‐carbon scheduling of integrated local energy system considering oxygen‐enriched combustion plant and generalized energy storages
  2021 · 碳中和与 CCUS · Abstract Under the background of carbon neutrality and large‐scale penetration of renewable energy, the integrated local energy system (ILES) has been extensively recognized as an effective way to reduce carbon emissions…
• On modelling and handling of flexible materials: A review on Digital Twins and planning systems
  2021 · 数字孪生 · In this paper a series of studies dealing with flexible material manipulation in aspects of manipulation, modelling and scheduling are discussed. The main purpose of this work is to provide an overview of the existing te…
• Simulation-Optimization of Digital Twin
  2021 · 数字孪生 · With rapid advancements in Cyber-Physical manufacturing, the Internet of Things, Simulation software, and Machine Learning algorithms, the applicability of Industry 4.0 is gaining momentum. The demand for real-time decis…
• Artificial intelligence enhanced interaction in digital twin shop-floor
  2021 · 数字孪生 · As an enabling technology for smart manufacturing, digital twin has been widely applied in manufacturing shop-floor. A great deal of research focuses on the key issues in implementing digital twin shop-floor (DTS), inclu…
• Federated Learning over Wireless IoT Networks with Optimized Communication and Resources
  2021 · 6G 与卫星互联网 · To leverage massive distributed data and computation resources, machine learning in the network edge is considered to be a promising technique especially for large-scale model training. Federated learning (FL), as a para…
• Graduation Intelligent Manufacturing System (GiMS): an Industry 4.0 paradigm for production and operations management
  2020 · 数字孪生 · Purpose The purpose of this paper is to develop an intelligent manufacturing system for transforming production management and operations to an Industry 4.0 manufacturing paradigm. Design/methodology/approach A manufactu…
• Dynamic scheduling for manufacturing workshops using Digital Twins, Competitive Particle Swarm Optimization, and Siamese Neural Networks
  2024 · 数字孪生 · Flexible manufacturing workshops often encounter scheduling challenges due to complex processes and cumbersome procedures. To address these issues, a dynamic scheduling method is proposed. Initially, a discrete manufactu…
• Optimizing TESS-related Exoplanet Observation: A Systematic Approach to Scheduling JWST SOSS and BOTS Templates
  2024 · 地外科学 · This study presents a systematic approach to optimize the scheduling of exoplanet observations using the James Webb Space Telescope (JWST), focusing on targets discovered by the Transiting Exoplanet Survey Satellite (TES…
• Charging Scheduling of Hybrid Energy Storage Systems for EV Charging Stations
  2023 · 碳中和与 CCUS · The growing demand for electric vehicles (EV) in the last decade and the most recent European Commission regulation to only allow EV on the road from 2035 involved the necessity to design a cost-effective and sustainable…
• Dynamic scheduling of multi-memory process flexible job shop problem based on digital twin
  2023 · 数字孪生 · Digital twin is one of the newly-emerged enabling technologies for achieving intelligent manufacturing. Based on the physical–digital convergence, digital twin provides manufacturing systems with a new model of collabora…

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