Smart Factories and Production Systems

A special issue of Computers (ISSN 2073-431X).

Deadline for manuscript submissions: closed (15 June 2022) | Viewed by 4874

Special Issue Editors


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Guest Editor
2Ai – Applied Artificial Intelligence Lab, School of Technology, IPCA – Polytechnic Institute of Cávado and Ave, 4750-810 Barcelos, Portugal
Interests: information technologies for industry

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Guest Editor
ISLA, IPGT -Polytechnic Institute of Management and Technology, 4400-107 Vila Nova de Gaia, Portugal
Interests: cybersecurity; cybercrime; hacking; forensics; ai

Special Issue Information

Dear Colleagues,

iSCSi—the International Conference on Industry Science and Computer Sciences Innovation—2022 will be held in Vila Nova de Gaia, Porto, Portugal, from 9 to 11 March 2022, and it intends to bring together leading international experts on computer and production system technologies, logistics, and cutting-edge information systems and technologies, from academia and industry to discuss ground-breaking issues and trends in computer technologies that enable manufacturing, supply chain management, Industry 4.0, and sustainable growth and advances in computer sciences that support the industry sector. For more information about the conference, please use this link: https://iscsi-conference.org/.

iSCSi topics are organized in vertical and horizontal tracks within the computer technologies that advance support industry all over the world:

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Prof. Dr. Maria Manuela Cruz-Cunha
Prof. Dr. Nuno Mateus-Coelho
Guest Editors

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Keywords

  • artificial intelligence
  • cyberphysical production systems
  • cybersecurity and data protection
  • data analysis techniques and tools
  • smart factories
  • smart manufacturing systems
  • smart supply chain management

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Published Papers (1 paper)

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Research

22 pages, 3048 KiB  
Article
A Project-Scheduling and Resource Management Heuristic Algorithm in the Construction of Combined Cycle Power Plant Projects
by Shakib Zohrehvandi
Computers 2022, 11(2), 23; https://doi.org/10.3390/computers11020023 - 7 Feb 2022
Cited by 6 | Viewed by 3471
Abstract
Given the growing number of development projects, proper project planning and management are crucial. The purpose of this paper is to introduce a heuristic algorithm for scheduling a power plant project construction and project resource management to determine the size of project buffers [...] Read more.
Given the growing number of development projects, proper project planning and management are crucial. The purpose of this paper is to introduce a heuristic algorithm for scheduling a power plant project construction and project resource management to determine the size of project buffers and feeding buffers. This algorithm consists of three steps: 1. estimating the duration of project activities; 2. determining the size of the project buffer and feeding buffers; and 3. simulating the mentioned algorithm, which will be explained below. Innovations of this research are as follows: estimating the exact duration of project activities by using a heuristic algorithm, in addition to determining the buffer size; calculating both project buffer and feeding buffers; and applying the algorithm to implement an ACC used in combined cycle power plant projects as a numerical example. In order to evaluate the proposed algorithm, inputs from this project were run through several algorithms recently presented. The results showed that a suitable amount of buffers can be allocated for projects using this algorithm. Full article
(This article belongs to the Special Issue Smart Factories and Production Systems)
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