Cloud manufacturing and simulation for complex products

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".

Deadline for manuscript submissions: closed (15 August 2022) | Viewed by 2769

Special Issue Editors


E-Mail Website
Guest Editor
School of Automation Science and Electrical Engineering, Beihang Universiy, Beijing, China
Interests: service-oriented modeling and simulation; cloud manufacturing and simulation; model engineering and cyber-physical systems

E-Mail Website
Guest Editor
School of Automation Science and Electrical Engineering, Beihang Universiy, Beijing, China
Interests: configurable intelligent optimization algorithm; robot disassembly modeling and optimization for remanufacturing; pattern discovery and evaluation of multi-agent systems; and adaptive online incremental learning

Special Issue Information

Dear Colleagues,

As a service-oriented, networked, and intelligent manufacturing paradigm, cloud manufacturing maps are creating resources and capabilities for the cloud, using technologies such as cloud computing, Internet of Things, service computing, and artificial intelligence. This forms a cyber-physical-human system with interactions between virtual worlds and reality, which enables cloud-based sharing, collaboration, and on-demand use of manufacturing resources and capabilities, and provides intelligent, efficient on-demand services over the full lifecycle of manufacturing.

Modeling and simulation (M&S) technology plays an irreplaceable role during the development of manufacturing systems. M&S has been widely applied in all phases of the whole product lifecycle, i.e., design, manufacturing, testing, sales, maintenance, and other phases. Cloud-based environments and technologies bring more opportunities and challenges for the development of M&S technology, in return, M&S provides a more powerful capability for cloud manufacturing to complete a high-quality manufacturing task.

Topics of interest include but are not limited to the following:

  • Architecture, models, standards, and criteria for CMfg
  • Cloud service management of manufacturing resources and capabilities
  • M&S for manufacturing lifecycle in the cloud
  • M&S as a service
  • Cloud-edge collaborative manufacturing and simulation
  • New generation IT (big data, AI, cyber-physical system, Internet of Things, blockchain, etc.) for manufacturing and simulation
  • Model engineering for manufacturing
  • Simulation optimization in CMfg
  • Cloud-based M&S platform
  • Modeling and simulation language for complex product lifecycle
  • High-performance simulation and optimization

Prof. Dr. Lin Zhang
Dr. Yuanjun Laili
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Cloud manufacturing
  • Modeling and simulation
  • Complex product lifecycle

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

14 pages, 6748 KiB  
Article
Matching of Manufacturing Resources in Cloud Manufacturing Environment
by Yanjuan Hu, Leiting Pan, Dongwei Gu, Zhanli Wang, Hongliang Liu and Yilin Wang
Symmetry 2021, 13(10), 1970; https://doi.org/10.3390/sym13101970 - 19 Oct 2021
Cited by 9 | Viewed by 2065
Abstract
With the introduction and application of new information technology in manufacturing, various advanced manufacturing models and national strategies have received more and more attention. The goal of cloud manufacturing is to closely link the resources and capabilities of manufacturers through a variety of [...] Read more.
With the introduction and application of new information technology in manufacturing, various advanced manufacturing models and national strategies have received more and more attention. The goal of cloud manufacturing is to closely link the resources and capabilities of manufacturers through a variety of services to create a dedicated platform for complex manufacturing process needs. How to achieve effective matching of various manufacturing resources and capabilities in the form of services will be a common problem in the future. In order to effectively improve cloud manufacturing tasks and resource matching efficiency and save resources, this study considers the common aspects of cloud manufacturing resource matching as service quality indicators, and extends the scope to the requirements of manufacturing resources, and the matching pattern of traditional service resources. There are additional restrictions on the resource service matching process. At the same time, the resource service matching is usually asymmetric. Therefore, we introduce the concept of task complexity of demand resources, and propose a combination system based on task complexity and service quality evaluation. The artificial bee colony algorithm (ABC) is used for analysis and verification. The experimental paper further validates the proposed the feasibility and efficiency of the method. Full article
(This article belongs to the Special Issue Cloud manufacturing and simulation for complex products)
Show Figures

Figure 1

Back to TopTop