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Optimization of Logistics Systems Using Industry 4.0 Technologies
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Optimization of Logistics Systems Using Industry 4.0 Technologies

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (28 February 2023) | Viewed by 20290

Special Issue Editors

Dr. Péter Tamás

E-Mail Website
Guest Editor
Institute of Logistics, University of Miskolc, 3515 Miskolc, Hungary
Interests: process improvement; lean; Industry 4.0 technologies; logistics systems; decision-making methods
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Stavros T. Ponis

E-Mail Website
Guest Editor
School of Mechanical Engineering, National Technical University Athens, Athens 15780, Greece
Interests: supply chain management; logistics; management information systems; decision support systems; digital transformation & e-business
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As a result of striving to meet individual customer needs, the complexity of the operation of logistics systems increases. For this reason, the improvement and optimization of various logistics processes is an increasing challenge for today's logistics professionals. The application of the new industry 4.0 technologies (e.g. cyber physics systems, big data, IoT, etc.) in logistics systems opens up many possibilities, including the collection and processing of system data, as well as the control of system components. This serves as the basis for new operating models, the development of which can reduce the losses of logistics systems and increase their sustainability. The main purpose of this special issue is to present new operating models in the field of logistics that have been developed and/or implemented using industry 4.0 technologies and optimization methods.

Suggested literature:

Spanos, A. C., Ponis, S. T., Tatsiopoulos, I. P., Christou, I. T., & Rokou, E. (2014). A new hybrid parallel genetic algorithm for the job‐shop scheduling problem. International Transactions in Operational Research, 21(3), 479-499.

Bányai, T.; Tamás, P.; Illés, B.; Stankevičiūtė, Ž.; Bányai, Á. Optimization of Municipal Waste Collection Routing: Impact of Industry 4.0 Technologies on Environmental Awareness and Sustainability. Int. J. Environ. Res. Public Health 2019, 16, 634.

Tamás P, Tollár S, Illés B, Bányai T, Tóth ÁB, Skapinyecz R. Decision Support Simulation Method for Process Improvement of Electronic Product Testing Systems. Sustainability. 2020; 12(7):3063.

Tamás P. Innovative Business Model for Realization of Sustainable Supply Chain at the Outsourcing Examination of Logistics Services. Sustainability. 2018; 10(1):210.

Ponis, S. T., & Koronis, E. (2012). Supply Chain Resilience? Definition of concept and its formative elements. The Journal of Applied Business Research, 28(5), 921-935.

Tamás P., Illés B. (2016) Process Improvement Trends for Manufacturing Systems in Industry 4.0., Academic Journal of Manufacturing Engineering, 119-124.

Ponis, S. T., Papanikolaou, P. A., Katimertzoglou, P., Ntalla, A. C., & Xenos, K. I. (2017). Household food waste in Greece: A questionnaire survey. Journal of Cleaner Production, 149, 1268-1277.

Ponis, S. T., & Efthymiou, O. K. (2020). Cloud and IoT Applications in Material Handling Automation and Intralogistics. Logistics, 4(3), 22.

Ponis, S. T. (2020). A Proposed Technology IoT Based Ecosystem for Tackling the Marine Beach Litter Problem. In Proceedings of SAI Intelligent Systems Conference (pp. 673-678). Springer, Cham.

Dr. Péter Tamás
Prof. Dr. Stavros T. Ponis
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. Sustainability 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

  • Sustainable supply chain 4.0
  • Novel production and logistics systems
  • Digital Twin technology
  • Cyber-physical systems
  • Process optimization
  • Virtual logistics companies
  • Green logistics
  • Additive manufacturing technology
  • Digitization in logistics
  • Decision support systems in logistics.

Published Papers (6 papers)

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Research

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23 pages, 1705 KiB  
Article
Readiness Factors for Sustainable Lean Transformation of Construction Organizations
by Kudrekodlu V. Prasad and Venkatesan Vasugi
Sustainability 2023, 15(8), 6433; https://doi.org/10.3390/su15086433 - 10 Apr 2023
Cited by 1 | Viewed by 1762
Abstract
Despite significant research and development on lean construction over the last two decades, cases of sustained lean transformation are few. Readiness for lean transformation is considered an essential requirement. Several studies have been conducted to identify lean readiness factors and develop assessment frameworks [...] Read more.
Despite significant research and development on lean construction over the last two decades, cases of sustained lean transformation are few. Readiness for lean transformation is considered an essential requirement. Several studies have been conducted to identify lean readiness factors and develop assessment frameworks in other sectors such as manufacturing, healthcare, pharmaceutical, emergency, higher education, etc., but none in construction. The main objective of this study is to identify the lean readiness factors for the successful lean transformation of construction organizations. Mixed methods of research have been adopted. Factors initially identified from the literature in other sectors and lean construction were further validated by a large team of lean experts. Seventy-three factors were identified, and a questionnaire survey was conducted to identify the critical lean readiness factors for construction organizations. One hundred and two responses were collected from expert lean practitioners and academicians from all over the world. The factors were ranked based on the Importance Index (II). Reliability analysis and ANOVA tests have been conducted. Support from top management, the process of understanding customer requirements, emphasis on team-working, critical data analysis, and constraint removal were found to be the top-ranked lean readiness factors. The study opens up new research directions in lean readiness evaluation and ensures sustained lean transformation of construction organizations. Full article
(This article belongs to the Special Issue Optimization of Logistics Systems Using Industry 4.0 Technologies)
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23 pages, 5445 KiB  
Article
Improving the Efficiency of Rail Passenger Transportation Using an Innovative Operational Concept
by László Erdei, Péter Tamás and Béla Illés
Sustainability 2023, 15(6), 5582; https://doi.org/10.3390/su15065582 - 22 Mar 2023
Cited by 3 | Viewed by 1685
Abstract
In an increasingly fast-paced world, emerging mobility demands must be met by competitive services that are in line with the principles of sustainable transportation concepts. It is not possible to know exactly what the mobility solution of the future will be, but it [...] Read more.
In an increasingly fast-paced world, emerging mobility demands must be met by competitive services that are in line with the principles of sustainable transportation concepts. It is not possible to know exactly what the mobility solution of the future will be, but it is certain that it will require a reduction in car use. A dramatic increase in energy prices will have an impact on the transportation sector, but making public transportation attractive to large numbers of people could reduce unit costs. Public transportation systems can be made more efficient through flexible transportation concepts and by combining individual passenger demand for travel. In the field of rail passenger transportation, practice uses fixed timetables, which do not take into account the changes in ad hoc travel needs. This results in significant losses due to unjustified unnecessary stops and longer travel times. This article presents an operational concept that enables ad hoc passenger demands to be met. The concept ensures minimum energy consumption and a higher level of passenger demand satisfaction through multilevel demand management. A case study was presented to prove the developed theory. Full article
(This article belongs to the Special Issue Optimization of Logistics Systems Using Industry 4.0 Technologies)
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21 pages, 2276 KiB  
Article
A Study on Optimal Location Selection and Semi-Finished Product Inventory Allocation in the Steel Industry
by Zhiming Shi, Yisong Li, Gábor Bohács and Qiang Zhou
Sustainability 2022, 14(22), 15279; https://doi.org/10.3390/su142215279 - 17 Nov 2022
Viewed by 1028
Abstract
With the development of industrial production technologies and market economy, Postponement is increasingly being adopted by continuous production enterprise as a method that enables multi-product, mass customization production. In order to make use of the Postponement in manufacturing production enterprises need to achieve [...] Read more.
With the development of industrial production technologies and market economy, Postponement is increasingly being adopted by continuous production enterprise as a method that enables multi-product, mass customization production. In order to make use of the Postponement in manufacturing production enterprises need to achieve customized production and reduce enterprise costs. A modeling is conducted in the production process of Postponement in iron and steel enterprises in this paper. With the goal of minimizing total costs on a specific customer service level, mixed integer nonlinear programming and particle swarm algorithms are adopted for modeling and solving, to determine the optimal location and optimal semi-finished product inventory of PDP and CODP. Finally, taking an iron and steel enterprise as an example, the feasibility and effectiveness of the model and algorithm are verified. The study shows that the change of the optimal locations of PDP and CODP is affected by the change of customer service level and delay penalty coefficient, but the speed of change of the optimal location of PDP shows longer delays. In addition, the size of the capacity of semi-finished product inventory corresponding to CODP has a direct influence on whether the semi-finished product inventory corresponding to PDP participates in production, which in turn affects the optimal semi-finished product inventory on all levels. Through the analysis, it is found that the model constructed in this paper can better describe the overall situation and the influence relationship of the Postponement, and the study supplements the deficiency of the research on Postponement in the continuous manufacturing enterprises and enriches the content of the quantitative research on the Postponement. Full article
(This article belongs to the Special Issue Optimization of Logistics Systems Using Industry 4.0 Technologies)
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33 pages, 2532 KiB  
Article
Development of an Industry 4.0-Based Analytical Method for the Value Stream Centered Optimization of Demand-Driven Warehousing Systems
by Péter Dobos, Ákos Cservenák, Róbert Skapinyecz, Béla Illés and Péter Tamás
Sustainability 2021, 13(21), 11914; https://doi.org/10.3390/su132111914 - 28 Oct 2021
Cited by 3 | Viewed by 2059
Abstract
In real life situations, the material handling strategy of on-site storage systems is usually determined during the design of the storage system, which is no longer reviewed later. The strategy is typically determined by the person(s) designing the storage system, without the use [...] Read more.
In real life situations, the material handling strategy of on-site storage systems is usually determined during the design of the storage system, which is no longer reviewed later. The strategy is typically determined by the person(s) designing the storage system, without the use of scientific methods, based on previous experience. Without a thorough periodic review of operational strategy, most companies’ warehousing systems have significant logistical losses (e.g., unnecessary material handling, waiting, operations), which also negatively affects the sustainability of the logistics operations. Therefore, eliminating these losses can increase both the competitiveness and the sustainability of companies. For this reason, the aim of this publication is to introduce a gap-filling test method that allows the selection of an optimal material handling strategy covering the total value stream in a demand-driven storage environment, using the opportunities offered by the Industry 4.0 concept, in particular in the field of big data analysis. This integrated approach has so far not emerged in the study of warehouse material handling strategies. Beyond the obvious economic benefits, the application of this method can clearly help companies to achieve a higher level of sustainability in their logistics operations, as it allows storage systems to operate more efficiently while minimizing material handling losses, ultimately resulting in a lesser demand for energy and raw materials. Moreover, this can also result in a reduction in the human and machine resources required to perform the tasks. Full article
(This article belongs to the Special Issue Optimization of Logistics Systems Using Industry 4.0 Technologies)
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Review

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27 pages, 13235 KiB  
Review
Industry 4.0 Technologies and Their Impact in Contemporary Logistics: A Systematic Literature Review
by Orestis K. Efthymiou and Stavros T. Ponis
Sustainability 2021, 13(21), 11643; https://doi.org/10.3390/su132111643 - 21 Oct 2021
Cited by 20 | Viewed by 6472
Abstract
Even though the topic of Industry 4.0 in the last decade has attracted significant and multifarious attention from academics and practitioners, a structured and systematic review of Industry 4.0 in the context of contemporary logistics is currently lacking. This study attempted to address [...] Read more.
Even though the topic of Industry 4.0 in the last decade has attracted significant and multifarious attention from academics and practitioners, a structured and systematic review of Industry 4.0 in the context of contemporary logistics is currently lacking. This study attempted to address this shortcoming by performing a systematic review of the available literature of Industry 4.0 in the logistics context. To that end, and after a systematic inclusion/exclusion process, 65 carefully selected papers were addressed in the study. The results obtained from this study were illustrated and discussed in order to provide answers to two research questions pre-defined by the authors. In essence, this study identified emerging aspects and present trends in the area, addressed the main technological developments and evolution of Industry 4.0 and their impact for contemporary logistics, and finally pinpointed literature shortcomings and currently under-explored areas with a high potential for impactful future research. Findings of this review can hopefully be used as the basis for future research in the emerging Logistics 4.0 concept and related topics. Full article
(This article belongs to the Special Issue Optimization of Logistics Systems Using Industry 4.0 Technologies)
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28 pages, 3094 KiB  
Review
A Systematic Literature Review on Additive Manufacturing in the Context of Circular Economy
by Stavros Ponis, Eleni Aretoulaki, Theodoros Nikolaos Maroutas, George Plakas and Konstantina Dimogiorgi
Sustainability 2021, 13(11), 6007; https://doi.org/10.3390/su13116007 - 26 May 2021
Cited by 32 | Viewed by 6016
Abstract
Additive Manufacturing (AM) is, undoubtedly, one of the most promising and potentially disruptive technologies of the Industry 4.0 era, able to transform the traditional manufacturing paradigm and fuel the generally accepted and necessary shift towards the conceptualisation, design and adoption of sustainable and [...] Read more.
Additive Manufacturing (AM) is, undoubtedly, one of the most promising and potentially disruptive technologies of the Industry 4.0 era, able to transform the traditional manufacturing paradigm and fuel the generally accepted and necessary shift towards the conceptualisation, design and adoption of sustainable and circular business models. The objective of this paper is to contribute to the structure of the scientific field residing in the intersection of AM and Circular Economy (CE), by determining the status of its current state-of-the-art, proposing an initial typology in an attempt to contribute to the existing efforts of structuring this rather novice research area and pinpointing research gaps where more focus should be put, and highlighting areas with a significant potential for added-value future research. To that end, a sample of 206 papers, published from 2014 to 2020, was retrieved from the Scopus and Google Scholar databases. After studying and critically evaluating their content in full, contributions were classified into six thematic categories, providing a first typology of the current literature, followed by a detailed section highlighting and taxonomizing existing review studies. Next, contributions of the three categories of interest are discussed followed by a critical evaluation of the study’s contribution, inherent limitations and future research potential. Full article
(This article belongs to the Special Issue Optimization of Logistics Systems Using Industry 4.0 Technologies)
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