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Applications of Automated Management System

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 30 August 2025 | Viewed by 905

Special Issue Editors


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Guest Editor
Department of Industrial Engineering and Management, Ariel University, Ariel 40700, Israel
Interests: advanced models for privacy preserving

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Guest Editor
Department of Industrial Engineering, Tel Aviv University, Tel Aviv 6997801, Israel
Interests: data mining; data discovery systems artificial intelligence; robotics creativity and conceptual design

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Guest Editor
Department of Industrial Engineering and Management, Ariel University, Ariel 40700, Israel
Interests: systems thinking; systems approach; system of systems; systems engineering; risk management; project management; effectiveness and efficiency in project management; project success; AI in systems engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Today, organizations, as well as diverse systems, are facing unprecedented challenges like globalization that dictates around-the-clock work, contingency, real-time and critical decision-making, etc. These challenges apply to many fields, including industry, commerce, infrastructures, information systems, finance, medicine, computer networks, and governance. Considering the amount of data, the complexity of the problems, and the required response time, manual solutions cannot effectively address these challenges. Therefore, computer-based applications for automated management systems are required. The availability of significant AI power has boosted these solutions; thus, for this Special Issue, we encourage submissions related to AI, however this is not mandatory, and other technology bases like RFID are suitable.

In light of the above, we welcome the submission of articles that introduce novel methods with potential applicability in this field. The proposed automation may be full or partial as an intermediate stage towards minimizing user intervention. Topics of interest for this Special Issue include, but are not limited to, the following:

  • Application for automation of business/organizational process;
  • Application for automation of individual tasks;
  • Automated tools to enhance user’s productivity and experience;
  • IT management automation;
  • Automating the process of testing and conducting experiments;
  • Harnessing AI to automate management;
  • Theoretical models that can support management automation;
  • Trust and Explainability (especially XAI) in automatic management systems;
  • Social and legal aspects of management automation.

Original work highlighting the latest research and technical developments is encouraged, but review papers and comparative studies are also welcome to be submitted.

Dr. Ron Hirschprung
Prof. Dr. Oded Maimon
Dr. Sigal Koral-Kordova
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. Applied Sciences is an international peer-reviewed open access semimonthly 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

  • automation
  • management
  • applications
  • AI (artificial intelligence)
  • business processes
  • organizational processes
  • XAI

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Published Papers (1 paper)

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Research

23 pages, 3073 KiB  
Article
Automated System for Evaluating Alternatives for Developing Innovative IT Projects
by Iryna Pikh, Vsevolod Senkivskyy, Liubomyr Sikora, Nataliia Lysa and Alona Kudriashova
Appl. Sci. 2025, 15(3), 1167; https://doi.org/10.3390/app15031167 - 24 Jan 2025
Viewed by 589
Abstract
Software engineering occupies a prominent place in the theory and practice of simulation modeling, which necessitates scientific research in the field of methodological principles for forming software product quality. The problem of determining the optimal option for software development is one of the [...] Read more.
Software engineering occupies a prominent place in the theory and practice of simulation modeling, which necessitates scientific research in the field of methodological principles for forming software product quality. The problem of determining the optimal option for software development is one of the key ones in the field of information technology because it determines the quality of the final product and the efficiency of project management. The article considers the concept of developing an automated system, the basis of which is the software for assessing alternatives in the process of creating innovative IT projects. The main goal of the study is to model alternatives and select the optimal option for the process of creating an IT project using modern methodological approaches. For this purpose, the methods of ontological analysis, expert evaluation, multi-criteria optimization, pairwise comparisons and multi-factor selection of alternatives are applied. In the course of the research, a subset of Pareto factors is singled out and alternative development options are formed based on the method of linear convolution of criteria. The proposed methodology allows for assessing the importance of key factors and selecting the optimal option for the software development process. As a result, the developed approach contributes to strategic planning and increases the transparency of the decision-making process. The key result of the research is the created software product that allows one to automate the procedure for selecting the optimal solution for the IT project development process, providing reliable support for simulation modeling and increasing the efficiency of project management. The proposed methodology creates a new paradigm for making informed decisions regarding systems for creating complex software complexes. Full article
(This article belongs to the Special Issue Applications of Automated Management System)
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