IT in Production and Logistics

A special issue of Computers (ISSN 2073-431X). This special issue belongs to the section "Internet of Things (IoT) and Industrial IoT".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 777

Special Issue Editors


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Guest Editor
Department of IT in Production and Logistics, TU Dortmund University, 44227 Dortmund, Germany
Interests: logistics; supply chains; knowledge discovery in databases; data mining; data preprocessing; discrete event simulation; big data; information representation

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Guest Editor
Institute of Mechanical Engineering, Hochschule Ruhr West, University of Applied Sciences, 45479 Mülheim an der Ruhr, Germany
Interests: digitalization; process simulation; robotics; additive and subtractive manufacturing; CAD; CAM; algorithmic optimization

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Guest Editor
Department of Computer Science, Brunel University London, Uxbridge UB8 3PN, UK
Interests: new technologies and simulation including high-performance computing; digital twins and AI; simulation in international development; open science in simulation; production & logistics applications of simulation

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Guest Editor
CEERIM—Supply Chain, Purchasing and Project Management, Excelia Business School, 17000 La Rochelle Cedex, France
Interests: urban logistics; urban transport management; transport demand forecasting; food logistics; collaborative processes; change and scenario assessment; interactive decision support methods
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Special Issue Information

Dear Colleagues,

The importance of IT in the design and implementation of industrial systems is continuously increasing, and some systems for innovative products or processes already have a higher value content in IT than in hardware like machines and other equipment. Software development tasks are ubiquitous in enterprises, but still most IT projects do not achieve the positive aspects that have been promised when deciding their budgets, and much worse, a significant part of these projects actually fail and are cancelled or result in software systems that are never productively used. Therefore, it is mandatory for engineers to understand the chances but also the challenges and risks of the many IT technologies that are available today. This Special Issue is calling for contributions on applications of up-to-date technologies, discussing their preconditions, their pros and cons, procedure models for the application of these new technologies and any further aspects that can support readers in successfully applying these technologies in their enterprises as well as furthering cutting-edge research.

We invite papers covering the following aspects of Information Technology applied to production and logistics, among other relevant topics:

  • IT for production logistics;
  • IT for intralogistics systems;
  • Supply chain management;
  • IT for freight management, roads/ ports/ air cargo;
  • IT for mobility and urban logistics;
  • Modeling of business processes and process mining;
  • Material flow simulation and data farming;
  • Digital factory and digital twin;
  • Auto-ID technology and applications, Internet of Things;
  • Design of industrial IT systems, industrial software engineering;
  • Innovative databases for monitoring and control;
  • Data mining and data modeling;
  • Input data management and data quality for industrial applications;
  • Advanced industrial AI applications;
  • Industrial web applications.

Prof. Dr. Markus Rabe
Dr. Anne Antonia Scheidler
Prof. Dr. Marc Stautner
Prof. Dr. Simon J. E. Taylor
Prof. Dr. Jesús González-Feliu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at mdpi.longhoe.net 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. Computers 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 1800 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

  • production
  • logistics
  • business processes
  • industrial IT systems
  • material flow simulation
  • industrial web applications
  • data modeling and data quality
  • innovative databases
  • process mining
  • industrial software development
  • Internet of Things
  • data mining
  • auto ID applications
  • digital twin

Published Papers (1 paper)

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Research

16 pages, 902 KiB  
Article
Insights into How to Enhance Container Terminal Operations with Digital Twins
by Marvin Kastner, Nicolò Saporiti, Ann-Kathrin Lange and Tommaso Rossi
Computers 2024, 13(6), 138; https://doi.org/10.3390/computers13060138 - 30 May 2024
Viewed by 365
Abstract
The years 2021 and 2022 showed that maritime logistics are prone to interruptions. Ports especially turned out to be bottlenecks with long queues of waiting vessels. This leads to the question of whether this can be (at least partly) mitigated by means of [...] Read more.
The years 2021 and 2022 showed that maritime logistics are prone to interruptions. Ports especially turned out to be bottlenecks with long queues of waiting vessels. This leads to the question of whether this can be (at least partly) mitigated by means of better and more flexible terminal operations. Digital Twins have been in use in production and logistics to increase flexibility in operations and to support operational decision-making based on real-time information. However, the true potential of Digital Twins to enhance terminal operations still needs to be further investigated. A Delphi study is conducted to explore the operational pain points, the best practices to counter them, and how these best practices can be supported by Digital Twins. A questionnaire with 16 propositions is developed, and a panel of 17 experts is asked for their degrees of confirmation for each. The results indicate that today’s terminal operations are far from ideal, and leave space for optimisation. The experts see great potential in analysing the past working shift data to identify the reasons for poor terminal performance. Moreover, they agree on the proposed best practices and support the use of emulation for detailed ad hoc simulation studies to improve operational decision-making. Full article
(This article belongs to the Special Issue IT in Production and Logistics)
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