Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

769
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
769

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Comparative efficacy of different components of cognitive behavioral therapy for insomnia on work productivity: A systematic review and meta-analysis.

Journal of health psychology·2026
Same author

Clinical outcomes after single-level posterior lumbar interbody fusion in osteoporotic patients with or without paraspinal muscle atrophy: a retrospective study.

Frontiers in surgery·2026
Same author

Four new triterpenoids from Ganoderma lucidum inhibit fibroblast-myofibroblast differentiation: Ganolanoid a identified as an ESR1 ligand.

Fitoterapia·2026
Same author

The optimal dose of brisk walking for improving blood pressure in hypertensive patients: a systematic review and bayesian meta-analysis of randomized controlled trials.

PeerJ·2026
Same author

When Protection Turns Pathogenic: Dual Compartment Functions of Myeloid YB-1 in Renal IRI.

International journal of molecular sciences·2026
Same author

A Critical Review on Microalgae-Enhanced Fountain Landscapes for Urban Carbon Capture.

Microorganisms·2026

Related Experiment Video

Updated: Sep 28, 2025

Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.7K

Production Task Allocation Decision Based on Cloud Robot Cell-Line.

Yi Du1, Yongqiang Wang1, Jialin Wang2

  • 1Anyang Institute of Technology School of Electronic Information and Electrical Engineering, Anyang 455000, China.

Computational Intelligence and Neuroscience
|April 4, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces an optimized production task allocation method for cloud manufacturing systems using the Quantum Firefly Algorithm (QFA). The QFA enhances efficiency and flexibility in cloud robot cell-line operations by minimizing transport and tardiness costs.

More Related Videos

A High-throughput Automated Platform for the Development of Manufacturing Cell Lines for Protein Therapeutics
07:48

A High-throughput Automated Platform for the Development of Manufacturing Cell Lines for Protein Therapeutics

Published on: September 22, 2011

22.4K
Automated Robotic Liquid Handling Assembly of Modular DNA Devices
11:22

Automated Robotic Liquid Handling Assembly of Modular DNA Devices

Published on: December 1, 2017

12.5K

Related Experiment Videos

Last Updated: Sep 28, 2025

Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.7K
A High-throughput Automated Platform for the Development of Manufacturing Cell Lines for Protein Therapeutics
07:48

A High-throughput Automated Platform for the Development of Manufacturing Cell Lines for Protein Therapeutics

Published on: September 22, 2011

22.4K
Automated Robotic Liquid Handling Assembly of Modular DNA Devices
11:22

Automated Robotic Liquid Handling Assembly of Modular DNA Devices

Published on: December 1, 2017

12.5K

Area of Science:

  • Manufacturing Engineering
  • Operations Research
  • Computer Science

Background:

  • Cloud manufacturing offers an agile, service-oriented approach integrating IoT and information technologies.
  • Efficient production task allocation is crucial for optimizing cloud robot cell-line operations, impacting logistics, planning, and scheduling.

Purpose of the Study:

  • To explore optimal production task allocation in cloud manufacturing by focusing on resource combinations.
  • To develop a mathematical model for task allocation considering transport and tardiness costs.

Main Methods:

  • A mathematical model was formulated to minimize transport and product delivery tardiness costs.
  • The Quantum Firefly Algorithm (QFA) was employed to solve the formulated optimization problem.
  • Performance comparison of QFA against traditional Firefly Algorithm (FA) and its variants (Improved FA, CSO-FA).

Main Results:

  • The Quantum Firefly Algorithm (QFA) demonstrated superior performance over traditional and improved Firefly Algorithms.
  • QFA showed advantages in terms of both time and spatial complexity for task allocation.
  • The study validates the effectiveness of QFA in optimizing cloud manufacturing resource allocation.

Conclusions:

  • The research contributes to the theory and methodology of operation-level cloud manufacturing resource allocation.
  • Provides valuable decision support for manufacturers implementing cloud robot cell-line systems.
  • Highlights the efficiency and effectiveness of the QFA for complex production task allocation problems.