Ajou University repository

Computers in Industry
ISSN
  • E1872-6194
  • P0166-3615
Publisher

Elsevier BV

Listed on
(Coverage)

JCR1997-2023

SJR1999-2020;2022-2023

CiteScore2011-2023

SCIE2010-2024

CC2016-2024

SCOPUS2017-2024

Active
Active

based on the information

  • SCOPUS:2024-10
Country
NETHERLANDS
Aime & Scopes
The aim of Computers in Industry is to publish original, high-quality, application-oriented research papers that: /// Show new trends in and options for the use of Information and Communication Technology in industry; /// Link or integrate different technology fields in the broad area of computer applications for industry; /// Link or integrate different application areas of ICT in industry. General topics covered include the following areas: /// The unique application of ICT in business processes such as design, engineering, manufacturing, purchasing, physical distribution, production management and supply chain management. This is the main thrust of the journal. It includes research in integration of business process support, such as in enterprise modelling, ERP, EDM. /// The industrial use of ICT in knowledge intensive fields such as quality control, logistics, engineering data management, and product documentation will certainly be considered. /// Demonstration of enabling capabilities of new or existing technologies such as hard real time systems, knowledge engineering, applied fuzzy logic, collaborative work systems, and intelligence agents are also welcomed. /// Papers solely focusing on ICT or manufacturing processes may be considered out of scope. A continuous quality policy, based on strict peer reviewing shall ensure that published articles are: /// Technologically outstanding and front-end /// Application-oriented with a generalised message /// Representative for research at an international level
Article List

Showing results 1 to 3 of 3

Automatic whitelist generation system for ethernet based in-vehicle network
  • Jo, Wooyeon;
  • Kim, Sung Jin;
  • Kim, Hyunjin;
  • Shin, Yeonghun;
  • Shon, Taeshik
  • 2022-11-01
  • Computers in Industry, Vol.142
  • Elsevier B.V.
Machine learning iterative filtering algorithm for field defect detection in the process stage
  • 2022-11-01
  • Computers in Industry, Vol.142
  • Elsevier B.V.
Fuzzy-inference-based decision-making method for the systematization of statistical process capability control
  • 2020-12-01
  • Computers in Industry, Vol.123
  • Elsevier B.V.
1