Journal Information
Computers in Industry
http://www.journals.elsevier.com/computers-in-industry/
Impact Factor:
4.769
Publisher:
ELSEVIER
ISSN:
0166-3615
Viewed:
6511
Tracked:
5

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Call For Papers
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
Last updated by Dou Sun in 2019-12-04
Special Issues
Special Issue on Technology enablers for the implementation of Industry 4.0 to traditional manufacturing sectors
Submission Date: 2020-03-31

Aims and Scope The traditional manufacturing sectors (footwear, textiles and clothing, furniture and toys, among others) are based on small and medium enterprises (SMEs) with limited capacity on investing in modern production technologies. Although these sectors rely heavily on product customization and short manufacturing cycles, they are still not able to take full advantage of the fourth industrial revolution. Industry 4.0, surfaced to address the current challenges of shorter product life-cycles, highly customized products and stiff global competition. The new manufacturing paradigm supports the development of modular factory structures within a computerized Internet of Things (IoT) environment. With Industry 4.0, rigid planning and production processes can be revolutionized. However, the computerization of manufacturing has a high degree of complexity and its implementation tends to be expensive, which goes against the reality of SMEs that power the traditional sectors. For this reason, the purpose of this special issue is to collect research works proposing solutions that facilitate the implementation of Industry 4.0 to the traditional manufacturing sectors. Accepted papers should address the following (indicative) topics and should aim at the implementation of Industry 4.0 to traditional manufacturing sectors. Topics Product customization technologies in traditional manufacturing sectors, including the utilization of 3D printing approaches. Design and implementation of CAD/CAE/CAM algorithms and applications for traditional manufacturing sectors, including Cloud applications and efficient implementation through parallel architectures. Interoperability and distributed manufacturing in traditional manufacturing sectors. Artificial intelligence for design & manufacturing in traditional manufacturing sectors. Robotics systems including collaborative robots, complex robotic cells, interconnection and security issues.
Last updated by Dou Sun in 2019-11-12
Special Issue on ROBOTIC PROCESS AUTOMATION FOR COMPUTERS IN INDUSTRY
Submission Date: 2020-05-15

Novelty Robotic Process Automation (RPA) is a relatively new technology comprising software agents called ‘bots’ that mimic the manual path taken by a human through a range of computer applications when performing certain tasks in a business process. The tasks that bots perform are typically rule-based, well-structured, and repetitive. Examples of tasks that bots perform include data transfer between applications through screen scraping, automated email query processing, and collation of payroll data from different sources. The popular interest in this topic is huge. According to the Google Trends Analysis conducted on the topic, the topic of ‘RPA’ only started to become a trendy topic (score: 25/100) in March 2017, increased to a score of 50/100 in Nov 2017 and reached the score of 100 in Sep 2018, which indicates the peak popularity for the term. Contrasting with this popular interest is the hitherto relative lack of attention to RPA in the academic literature. A systematic literature study that we conducted at the end of 2018 resulted in the identification of 125 relevant papers, of which only 36% are of an academic nature (45 out of 125). Therefore, it seems an appropriate time for a special issue on RPA, which can serve as a landmark publication for the conceptualization, application, advancement, and evaluation of this technology. Industry Need Organizations with successful RPA adoption and efficient business processes have experienced positive impacts on their strategic goals, staff productivity, and customer service [2]. RPA is of particular interest to industries that have traditionally been quick in the uptake of new technology, in particular process-aware information systems (e.g. banking, insurance) as discussed by Lacity, Willcocks, and Craig [3] and Tarquini [4]. Demand for RPA technologies is rapidly increasing and it is estimated that 90% of large and medium size organizations will opt for RPA solutions by 2020 [1]. Despite the existence of a large number of RPA vendors and products in the market, there is a lot of hype around what RPA is, as well as uncertainty on how to utilize this technology successfully. The various guidelines and frameworks offered by vendors and consultants for the selection and implementation of RPA do not always provide unbiased information, either. Therefore, a special issue on the topic of RPA may also cater for an industrial need for guidance, best practices, proven methods, and technological advancements. Expected Results The special issue is intended to serve (1) as a reference for the state of the art on RPA-related research, and (2) as a signpost for the academic development of RPA-related research. By putting out a literature study along with the call for papers, we allow the research community to pick up on these insights and use it to position their work and relate to it. This will improve the coherence and the accessibility of the special issue. Also, authors may want to pick up on the challenges that we have identified at this stage for work to be published beyond the special issue itself.
Last updated by Dou Sun in 2020-01-11
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