A Meta-Level Reference Architecture for Swarm Production Based on Holonic Arti DOI
Akshay Avhad, Casper Schou, Aline Kluge‐Wilkes

и другие.

Опубликована: Янв. 1, 2024

A Swarm Production is a self-organising paradigm adopting reconfigurability and agility principles within factory. Its potential spans diverse manufacturing applications by addressing implementation complexity at factory scale. The self-organisation performed autonomous mobile robot platforms restructures the topology of workstations on shop floor to enable mass personalisation with order-specific production lifecycles. transition between orders requires specific spatial layouts, schedules, control instances. It demands rapid reorganisation planning system's logical, functional physical components. research contribution this work bridging generic concept holistic via reference architecture. architecture builds upon holonic manufacturing, Industry 4.0 IIoT define an methodology leading decentralised, heterarchical cyber-physically enabled solution architectures supporting Production. multiform serve variety stakeholders, including experts from business, software domains. proposed utilises scientific paradigm. inherits system for Topology Manager Manager, operations. core Activity-Resource-Type-Instance (ARTI) based digital twin concept, facilitating Production's mechanism.

Язык: Английский

Demonstrating a Swarm Production lifecycle: A comprehensive multi-robot simulation approach DOI Creative Commons
Akshay Avhad, Casper Schou, Halldor Arnarson

и другие.

Journal of Manufacturing Systems, Год журнала: 2025, Номер 79, С. 484 - 503

Опубликована: Фев. 14, 2025

Язык: Английский

Процитировано

0
Task Scheduling with Mobile Robots—A Systematic Literature Review DOI Creative Commons

Catarina Rema,

Pedro Costa, Manuel F. Silva

и другие.

Robotics, Год журнала: 2025, Номер 14(6), С. 75 - 75

Опубликована: Май 30, 2025

The advent of Industry 4.0, driven by automation and real-time data analysis, offers significant opportunities to revolutionize manufacturing, with mobile robots playing a central role in boosting productivity. In smart job shops, scheduling tasks involves not only assigning work machines but also managing robot allocation travel times, thus extending traditional problems like the Job Shop Scheduling Problem (JSSP) Traveling Salesman (TSP). Common solution methods include heuristics, metaheuristics, hybrid methods. However, due complexity these problems, existing models often struggle provide efficient optimal solutions. Machine learning, particularly reinforcement learning (RL), presents promising approach from environmental interactions, offering effective solutions for task scheduling. This systematic literature review analyzes 71 papers published between 2014 2024, critically evaluating current state art robots. identifies increasing use machine techniques approaches address more complex scenarios, thanks their adaptability. Despite advancements, challenges remain, including integration path planning obstacle avoidance problem, which is crucial making stable reliable real-world applications scaling larger fleets

Язык: Английский

Процитировано

0
A Meta-Level Reference Architecture for Swarm Production Based on Holonic Arti DOI
Akshay Avhad, Casper Schou, Aline Kluge‐Wilkes

и другие.

Опубликована: Янв. 1, 2024

A Swarm Production is a self-organising paradigm adopting reconfigurability and agility principles within factory. Its potential spans diverse manufacturing applications by addressing implementation complexity at factory scale. The self-organisation performed autonomous mobile robot platforms restructures the topology of workstations on shop floor to enable mass personalisation with order-specific production lifecycles. transition between orders requires specific spatial layouts, schedules, control instances. It demands rapid reorganisation planning system's logical, functional physical components. research contribution this work bridging generic concept holistic via reference architecture. architecture builds upon holonic manufacturing, Industry 4.0 IIoT define an methodology leading decentralised, heterarchical cyber-physically enabled solution architectures supporting Production. multiform serve variety stakeholders, including experts from business, software domains. proposed utilises scientific paradigm. inherits system for Topology Manager Manager, operations. core Activity-Resource-Type-Instance (ARTI) based digital twin concept, facilitating Production's mechanism.

Язык: Английский

Процитировано

0