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Sustainability
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Advanced Technologies and Smart Supply Chains
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Advanced Technologies and Smart Supply Chains

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".

Deadline for manuscript submissions: closed (31 March 2021) | Viewed by 6422

Special Issue Editors

Prof. Dr. Helena Carvalho

E-Mail Website
Guest Editor
UNIDEMI, Department of Mechanical and Industrial Engineering, Faculty of Science and Technology, FCT, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal
Interests: supply chain; sustainability; circular economy; industrial symbiosis; eco-innovation
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Susana Azevedo

E-Mail Website
Guest Editor
Faculdade de Economia, Universidade de Coimbra, Coimbra, Portugal
Interests: sustainability; supply chain management; circular economy; performance measurement
Special Issues, Collections and Topics in MDPI journals
Dr. Carina Pimentel

E-Mail Website
Guest Editor
GOVCOPP, Department of Economics, Management, Industrial Engineering and Tourism, University of Aveiro, 3810-193 Aveiro, Portugal
Interests: lean production; production planning and scheduling; production scheduling in human–robot collaboration; urban logistics; maritime logistics; supply chain management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The COVID-19 pandemic has stressed the need to develop more resilient supply chains based on innovative, digital, and smart technologies that help to strengthen the sustainability of supply chains and business. The “smart supply chain” vision includes a supply chain-wide systematic use of “smart” implementations at different levels, not just considering the single/cross-department and enterprise levels, but also the business-to-business level. This includes the deployment of advanced technologies such as IoT, big data analytics, smart machines/products, augmented reality, and additive manufacturing, among others, within the company's internal processes but also with their suppliers and customers. The objective is to develop a new set of capabilities in supply chain management processes such as interconnectivity and information transparency, fully enabling data collection and real-time communication across all supply chain stages, intelligent decision-making, and efficient and responsive processes. Since the adoption of new technologies needs to be done considering its effects on the supply chain triple bottom line performance (economic, social, and environmental perspective), there is a need to rethink and redesign the way companies create and deliver value to their customers. This Special Issue of Sustainability entitled “Advanced Technologies and Smart Supply Chains” intends to encourage exciting and innovative interdisciplinary discussions among researchers with regard to major current trends in advanced technologies and smart supply chain research. Examples of topics include:

  • New business models in the context of smart supply chains;
  • Supply chain digitalization and automation;
  • Drivers, drawbacks, and benefits associated with the implementation of advanced technologies in supporting some supply chain processes;
  • Integration of processes within smart supply chains;
  • New labor skills and leadership practices required in the context of smart supply chains;
  • The role of advanced technologies in developing resilience and sustainability in supply chains;
  • Performance measurement systems in smart supply chains;
  • Smart supply chain roadmaps;
  • Smart supply chain processes;
  • Data security in smart supply chains;
  • Smart logistics.

Prof. Dr. Helena Carvalho
Prof. Dr. Susana Azevedo
Dr. Carina Pimentel
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

  • supply chain
  • resilience
  • sustainability
  • performance
  • business models
  • digitalization
  • automation
  • innovation
  • autonomous robots
  • horizontal and vertical system integration
  • augmented reality
  • blockchain
  • IoT
  • big data analytics
  • additive manufacturing

Published Papers (2 papers)

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Research

19 pages, 598 KiB  
Article
Designing a Multi-Stage Transport System Serving e-Commerce Activity
by Aurelija Burinskienė
Sustainability 2021, 13(11), 6154; https://0-doi-org.brum.beds.ac.uk/10.3390/su13116154 - 30 May 2021
Cited by 4 | Viewed by 2747
Abstract
In this paper, the author designs an e-commerce transport system, which covers the locations of producers’ facilities, distribution warehouses, and the business customers and deliveries among them. The study aims to identify the best locations for warehouses to increase efficiency in multi-stage transport [...] Read more.
In this paper, the author designs an e-commerce transport system, which covers the locations of producers’ facilities, distribution warehouses, and the business customers and deliveries among them. The study aims to identify the best locations for warehouses to increase efficiency in multi-stage transport systems. To reach this goal, the author revises distance metrics and suggests a methodological framework useful for warehouse location selection and practical applications. The empirical research is delivered by selecting a warehouse location using the maximal coverage model and mandatory closeness distance condition. After analyzing four warehouses’ alternatives, results are presented by applying various distance metrics. The results show that the selection of the location of the main warehouse depends on the level of returns that are defined by using the Mersenne Twister algorithm, and the distance calculation metrics representing differences in ranking. By the end of the study, the recommendation is given to apply the presented methodological approach for decision-makers seeking to improve service distances where decisions are made using path-based service distance criteria. The increase of efficiency is important from a policy development perspective, as findings of the study could help to reduce transport delivery costs for customers. Full article
(This article belongs to the Special Issue Advanced Technologies and Smart Supply Chains)
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25 pages, 1034 KiB  
Article
Impact of Selected Intelligent Systems in Logistics on the Creation of a Sustainable Market Position of Manufacturing Companies in Poland in the Context of Industry 4.0
by Robert Stanisławski and Andrzej Szymonik
Sustainability 2021, 13(7), 3996; https://0-doi-org.brum.beds.ac.uk/10.3390/su13073996 - 03 Apr 2021
Cited by 12 | Viewed by 2818
Abstract
Within the broadly understood concept of Industry 4.0, many intelligent systems featuring artificial intelligence are used. Their importance in recent years has been growing. That can be attributed to a number of notable advantages these systems provide, including the possibility of expanding the [...] Read more.
Within the broadly understood concept of Industry 4.0, many intelligent systems featuring artificial intelligence are used. Their importance in recent years has been growing. That can be attributed to a number of notable advantages these systems provide, including the possibility of expanding the manufacturer’s offer, greater customization of products, which facilitates reaching niche markets, as well as better internal and/or external communication (between the company and the consumer). Six such systems are brought into focus: The Internet of Things, Data Base, Cloud Computing, Blockchain, SCADA (Supervisory Control and Data Acquisition), and SMAC (Social, Mobile, Analytics, Cloud). The aim of the study was to assess their relevance and impact on the market position of enterprises in Poland. The analysis is based on the research carried out by the authors in 2020 on a sample of production companies that use logistic supply chains in their operations. The conclusions are to some extent surprising, e.g., the companies do not believe that implementing intelligence systems gives them significant market advantage nor that the positive impact of these systems depends directly on the number of systems used. Full article
(This article belongs to the Special Issue Advanced Technologies and Smart Supply Chains)
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