Supply Chain Management in Industry 4.0 Environment and Its Applications in Production Process

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Advanced Digital and Other Processes".

Deadline for manuscript submissions: closed (25 December 2022) | Viewed by 17806

Special Issue Editors

Institute of Logistics, Faculty of Mechanical Engineering and Informatics, University of Miskolc, 3515 Miskolc-Egyetemváros, Hungary
Interests: materials handling machines; logistics systems; logistics networks; Industry 4.0
Institute of Logistics, Faculty of Mechanical Engineering and Informatics, University of Miskolc, 3515 Miskolc-Egyetemváros, Hungary
Interests: supply chain management; procurement logistics; just-in-time delivery; virtual company; logistics system design; Industry 4.0
Institute of Logistics and Material Handling Systems, Otto von Guericke University Magdeburg, 39106 Magdeburg, Germany
Interests: logistic processes; logistic systems; Industry 4.0; analysis and optimization

Special Issue Information

Dear Colleagues,

Production companies have to apply the solutions of cyber-physical systems in order to improve their availability, efficiency, reliability, and productivity. The ever-changing manufacturing industry requires the improvement of these attributes. About 75% of large manufacturing companies have updated their operations with Internet of Things solutions and have transformed their conventional manufacturing environment to cyber-physical systems. The integration of IoT solutions leads to hyperconnected value chains, where not only manufacturing but also the related supply chain and logistics processes are operating in a cyber-physical environment.

We invite researchers in the global logistics and supply chain management community to contribute original research papers, as well as review articles and empirical studies, which will stimulate debate in the topic.

Potential topics include, but are not limited to, the following:

  • Analytic and heuristic optimisation of supply chain in Industry 4.0 environment;
  • Application of intelligent sensor networks in coordination of large scale supply chain;
  • Big Data algorithms inclusive predictive analytics;
  • Blockchain and smart contracts;
  • Digital twin-enabled supply chain simulation;
  • Decision-making in supply chain;
  • Energy efficiency and sustainability in Industry 4.0 environment;
  • Green supply chain management 4.0;
  • IoT technologies in production processes and supply chain solutions;
  • Kognitive supply chain;
  • Matrix production;
  • New engineering solutions in supply chain management;
  • Resilience;
  • Smart manufacturing and its supply chain realted consequencies.

Prof. Dr. Illés Béla
Dr. Ágota Bányai
Dr. Elke Glistau
Guest Editors

Manuscript Submission Information

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Keywords

  • internet of things technologies
  • digital twin-enabled supply chain simulation
  • smart sensors
  • optimization
  • smart manufacturing
  • production processes
  • supply chain management

Published Papers (4 papers)

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Research

12 pages, 732 KiB  
Article
Resilience in Supply and Demand Networks
by Vanessa Klementzki, Elke Glistau, Sebastian Trojahn and Norge Isaias Coello Machado
Processes 2023, 11(2), 462; https://0-doi-org.brum.beds.ac.uk/10.3390/pr11020462 - 03 Feb 2023
Cited by 1 | Viewed by 1466
Abstract
The present era is characterised by many events that have influences on supply chains and supply networks. This concerns, e.g., war, epidemics, natural disasters, accidents, strikes, political instability, and political sanctions. These are generally grouped under the term “disruption”. In order to avoid [...] Read more.
The present era is characterised by many events that have influences on supply chains and supply networks. This concerns, e.g., war, epidemics, natural disasters, accidents, strikes, political instability, and political sanctions. These are generally grouped under the term “disruption”. In order to avoid the risk of supply chain disruption, major disruption of supply networks, or loss of customers associated with disruptions, it is necessary to take preventive and proactive measures in supply chain management in terms of planning. This paper is intended to briefly summarise the current state of knowledge with the most important facts and derive a new definition from it. In addition, an analogy to maintenance is established for the first time. In doing so, a comparison of the concepts and a listing of the important proactive measures derived from them for increasing resilience are made. In the course of this, the field of action considered is extended from the exchange of suppliers through the entire supply chain network to the exchange of customers. Full article
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25 pages, 1044 KiB  
Article
Considering IT Trends for Modelling Investments in Supply Chains by Prioritising Digital Twins
by Milena Kajba, Borut Jereb and Matevž Obrecht
Processes 2023, 11(1), 262; https://0-doi-org.brum.beds.ac.uk/10.3390/pr11010262 - 13 Jan 2023
Cited by 6 | Viewed by 2675
Abstract
Supply chain disruptions and challenges have and will always exist, but preparing in advance and improving resilience for the upcoming consequences should be the utmost important goal. This paper explores trends that affect innovation in the technological sphere of supply chain systems. More [...] Read more.
Supply chain disruptions and challenges have and will always exist, but preparing in advance and improving resilience for the upcoming consequences should be the utmost important goal. This paper explores trends that affect innovation in the technological sphere of supply chain systems. More precisely, the research is focused on Digital Twin technology applicability through other logistics IT trends and aims to research the pressing issue of ensuring the visibility and resilience of future supply chain systems. The paper’s objective is to produce a conceptual model enabling the investment assessment of the necessary IT resources. Initially, a theoretical confirmation of logistics IT trends’ relevance to supply chain systems was established. After, propositions of Digital Twin technology applications to other logistics IT trends were made, which were divided into corresponding constant multitudes of supply chain systems. Lastly, the conceptual model for the investment assessment of the necessary IT resources was derived in the form of a matrix. It considers 16 parameters for investment assessment and applicability to all companies, regardless of their specifics. It also supports the notion of digital IT competencies’ fundamental importance to the continuous operation of supply chain systems. Full article
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22 pages, 3088 KiB  
Article
Digitalization of Supply Chain Management with Industry 4.0 Enabling Technologies: A Sustainable Perspective
by Sanjay Chauhan, Rajesh Singh, Anita Gehlot, Shaik Vaseem Akram, Bhekisipho Twala and Neeraj Priyadarshi
Processes 2023, 11(1), 96; https://0-doi-org.brum.beds.ac.uk/10.3390/pr11010096 - 29 Dec 2022
Cited by 10 | Viewed by 11323
Abstract
Supply chain management is one of the most prominent areas that needs to incorporate sustainability to achieve responsible consumption and production (SDG 11).It has been identified that there are limited studies that have presented the significance of different Industry 4.0 technologies from the [...] Read more.
Supply chain management is one of the most prominent areas that needs to incorporate sustainability to achieve responsible consumption and production (SDG 11).It has been identified that there are limited studies that have presented the significance of different Industry 4.0 technologies from the perspective of sustainable SCM. The purpose of this study is to discuss the role of Industry 4.0 technologies in the context of sustainable SCM, as well as to identify important areas for future research. The PRISM framework is followed to discuss the role and significance of sustainable SCM and the integration of Industry 4.0-enabling technologies such as the Internet of Things (IoT), cloud computing, big data, artificial intelligence (AI), blockchain, and digital twin for sustainable SCM. The findings of the study reveal that there are limited empirical studies for developing countries and the majority are emphasized in case studies. Additionally, a few studies have focused on operational aspects, economics, and automation in SCM. The current study is able to contribute to the significance and application of IoT, cloud computing, big data, AI, blockchain, and digital twin in achieving sustainable SCM in the future. The current study can be expanded to discuss the Industry 4.0-enabling technologies in analyzing sustainability performance in any organization using environmental, social, and governance (ESG) metrics. Full article
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35 pages, 18892 KiB  
Article
The Lean-Branch-and-Bound Structure Effectiveness in Enhancing the Logistic Stowage Methodology for the Regular Shapes
by Ahmed M. Abed and Laila F. Seddek
Processes 2022, 10(11), 2252; https://0-doi-org.brum.beds.ac.uk/10.3390/pr10112252 - 01 Nov 2022
Cited by 4 | Viewed by 1222
Abstract
An excellent e-commerce logistic cycle is based on reducing the delivery time to satisfy customers, accelerating the distribution chain activities at each delivery station, increasing the transported stowage objects for mobilization parallelograms containers to ingest most orders, and reducing the unused area. Because [...] Read more.
An excellent e-commerce logistic cycle is based on reducing the delivery time to satisfy customers, accelerating the distribution chain activities at each delivery station, increasing the transported stowage objects for mobilization parallelograms containers to ingest most orders, and reducing the unused area. Because the stowage steps are considered an NP-complexity, the authors introduce the Oriented Stowage Map (OSM) using one of the heuristic methods (i.e., the camel algorithm) that are programmed by the C-sharp software to be easily managed via the Internet of Things (IoT), which is embedded in the distribution chain. The authors called it Oriented Stowage’s Map by Camel algorithm “OSM-CA”. This methodology is considered one of the mat-heuristic approaches (i.e., decomposition metaheuristics) because we resorted to using mathematical steps (branch-and-bound). The OSM-CA reduces transport costs by 7% and delivery time by 14%. Additionally, it shows superiority over the solo Ant-colony for stowage less than 50 boxes by 10% and over the solo camel algorithm by 27%, while for more than 50 boxes, the OSM-CA superiority by 30% over the ant colony, and 17% over the camel algorithm. Creating the map in the proposed way takes 70% less time than using mathematical models, especially for a large number of orders, more than 200. Full article
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