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Applied Sciences
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Sustainable, Human-Centred/Centric and Resilient Production and Logistic Systems Design and...
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Sustainable, Human-Centred/Centric and Resilient Production and Logistic Systems Design and Management

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".

Deadline for manuscript submissions: closed (20 February 2024) | Viewed by 5847

Special Issue Editors

Prof. Dr. Maurizio Faccio

E-Mail Website
Guest Editor
Department of Management and Engineering, University of Padua, 35122 Padova, PD, Italy
Interests: intelligent manufacturing; digital twins; cyber-physical systems; collaborative robotics; cobots; product assembly
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Xifan Yao

E-Mail Website
Guest Editor
School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou 510641, China
Interests: smart production; cyber-physical production system; industry 4.0/5.0
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Due to the increasing needs of different customers today, we have huge product variety and consequently a complex mixture of products at low volume, leading to frequent disruptive events. Humans, therefore, cannot be completely substituted in the production and logistic processes, even in the automation and digitalization era.

For this reason, in 2021, the European Union proposed Industry 5.0 to complement Industry 4.0, with further consideration of the role and contribution of industry to society by placing research and innovation at the service of the transition to a sustainable, human-centred/centric and resilient industry (Breque et al., 2021).  

Humans operate, supervise and re-adjust the system, especially in case of emergencies or unpredictable events, acting as the main elements of resilience within the systems. They can also be the sources of knowledge and competences, diagnose situations, take decisions and several other activities influencing production and logistic performances, and provide additional degrees of freedom to the systems overall. Such capabili­ties makes it imperative to design and manage a production and logistic system with a socially sustainable workforce.

We are finally at a stage where Industry 4.0-enabling technologies can be adopted to cover different aspects of workforce management, for example, using augmented reality/virtual reality or vistrual factory tools for the learning and training of management, using wearable devices to track employee well-being for analysis of the work, using agent or artificial intelligence (AI) for the planning and scheduling of activities, interacting with CoBots for new job design, sharing knowledge using a social network, or using Big Data analytics for performance management.

This Special Issue seeks original manuscripts to investigate the “Sustainable, Human-Centred/Centric and Resilient Production and Logistic Systems Design and Management”. Topics of interest include, but are not limited to:

  • Innovative design and management approaches for sustainable and resilient industrial production systems.
  • Innovative design and management approaches for sustainable and resilient industrial logistics systems.
  • Sustainability, resilience and human-centred metrics for industrial production and logistics.
  • Integrated and multi-objective approaches for a sustainable, resilient and human-centred/centric Industry 5.0 paradigm.
  • Human-centred approaches in designing and managing production and logistics systems.
  • Industry 4.0 technologies applied for sustainable and resilient workforce.
  • Control and support systems for production and logistics decision making.
  • Human-centred AI or industrial metaverse technologies for production and logistics.
  • Novel industrial and real-world case studies to test and spread sustainable, human-centred/centric and resilient production and logistic systems design and management.

Prof. Dr. Maurizio Faccio
Prof. Dr. Xifan Yao
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

  • production
  • logistics
  • sustainability
  • resilience
  • human-centred
  • Industry 5.0

Published Papers (3 papers)

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Research

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18 pages, 7593 KiB  
Article
Smart Logistics Warehouse Moving-Object Tracking Based on YOLOv5 and DeepSORT
by Tingbo Xie and Xifan Yao
Appl. Sci. 2023, 13(17), 9895; https://doi.org/10.3390/app13179895 - 01 Sep 2023
Cited by 2 | Viewed by 1610
Abstract
The future development of Industry 4.0 places paramount importance on human-centered/-centric factors in the production, design, and management of logistic systems, which has led to the emergence of Industry 5.0. However, effectively integrating human-centered/-centric factors in logistics scenarios has become a challenge. A [...] Read more.
The future development of Industry 4.0 places paramount importance on human-centered/-centric factors in the production, design, and management of logistic systems, which has led to the emergence of Industry 5.0. However, effectively integrating human-centered/-centric factors in logistics scenarios has become a challenge. A pivotal technological solution for dealing with such a challenge is to distinguish and track moving objects such as humans and goods. Therefore, an algorithm model combining YOLOv5 and DeepSORT for logistics warehouse object tracking is designed, where YOLOv5 is selected as the object-detection algorithm and DeepSORT distinguishes humans from goods and environments. The evaluation metrics from the MOT Challenge affirm the algorithm’s robustness and efficacy. Through rigorous experimental tests, the combined algorithm demonstrates rapid convergence (within 30 ms), which holds promising potential for applications in real-world logistics warehouses. Full article
(This article belongs to the Special Issue Sustainable, Human-Centred/Centric and Resilient Production and Logistic Systems Design and Management)
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20 pages, 600 KiB  
Article
The “Perfect” Warehouse: How Third-Party Logistics Providers Evaluate Warehouse Features and Their Performance
by Martina Baglio, Alessandro Creazza and Fabrizio Dallari
Appl. Sci. 2023, 13(12), 6862; https://doi.org/10.3390/app13126862 - 06 Jun 2023
Viewed by 1714
Abstract
The recent trends in logistics outsourcing have led to the need to investigate the 3PL (third-party logistics) industry better. However, the attention has always been focused on operative performance, and the role of the warehouse has been skimmed over. This research aims to [...] Read more.
The recent trends in logistics outsourcing have led to the need to investigate the 3PL (third-party logistics) industry better. However, the attention has always been focused on operative performance, and the role of the warehouse has been skimmed over. This research aims to define the relationship between warehouse features and the performance indicators of 3PLs, filling the literature gap. This research provides insight into 3PLs’ way of thinking, helping 3PLs identify the right warehouse features to improve their performance and providing guidance for real estate companies in designing warehouses meeting 3PLs’ needs. The analysis uses a case study approach, carried out by interviewing 3PLs that provided data coded according to the dimensions of the Kano model. This methodology was used to generate an in-depth understanding of how 3PLs evaluate the different warehouse features that are able to drive their performance. The “perfect warehouse” is placed in an accessible location; it has loading bays, a standard layout, and a height suitable to optimize the flow of goods, and it utilises the spaces to make the service flexible and responsive. In addition, the warehouse should have internal areas, such as mezzanines, to deliver value-added services. Full article
(This article belongs to the Special Issue Sustainable, Human-Centred/Centric and Resilient Production and Logistic Systems Design and Management)
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Review

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39 pages, 7200 KiB  
Review
Trends and Recommendations for Enhancing Maturity Models in Supply Chain Management and Logistics
by Saverio Ferraro, Leonardo Leoni, Alessandra Cantini and Filippo De Carlo
Appl. Sci. 2023, 13(17), 9724; https://doi.org/10.3390/app13179724 - 28 Aug 2023
Cited by 2 | Viewed by 1831
Abstract
Maturity models (MMs) are strategic tools used to assess and improve the current state of processes, objects, or people, with the goal of achieving continuous performance enhancement. While MMs are applied in various fields, their scope, design, and application criteria within Supply Chain [...] Read more.
Maturity models (MMs) are strategic tools used to assess and improve the current state of processes, objects, or people, with the goal of achieving continuous performance enhancement. While MMs are applied in various fields, their scope, design, and application criteria within Supply Chain Management and Logistics (SCML) lack comprehensive studies. This article aims to address this gap through a systematic literature review. The review analyzes 137 relevant articles using both bibliometric and content analysis techniques. The bibliometric analysis identifies major contributions, popular journals, and the classification and evolution of key keywords. The content analysis focuses on critical criteria related to the scope, design, and application of MMs. The findings reveal a growing emphasis on models assessing Industry 4.0 readiness and sustainability principles. However, several gaps are identified, including limited attention to optimizing and integrating logistic processes, underutilized and unvalidated MMs, and the absence of comprehensive improvement guidelines. Based on these trends and research gaps, this study proposes five recommendations for future developments that benefit both academics and practitioners. These recommendations aim to address the identified limitations and provide guidance for comprehensive and effective improvement strategies. Full article
(This article belongs to the Special Issue Sustainable, Human-Centred/Centric and Resilient Production and Logistic Systems Design and Management)
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