Supply Chain Sustainability, Data-Driven Supply Chains, Supply Chain Intelligence
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Management".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 8415
Special Issue Editors
Interests: supply chain sustainability; data-driven supply chains; supply chain intelligence
Interests: logistics and supply chain management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Industry 4.0 technologies have been breaking new ground in all areas of innovation. This has facilitated the faster, more efficient and cost-efficient convergence of technologies. The four key technologies of Industry 4.0 are Internet of Things (IoT), cloud computing, big data, and analytics (Soni et al., 2022). Consequently, these technologies are also being considered as a significant enabler of sustainability-driven initiatives in agriculture, manufacturing and even services. Not only do they enhance the core process in the industry, but they have also begun to play a major role in streamlining the supply chains of these industries. Industry 4.0 technologies extend their functionalities in enhancing traceability, monitoring delivery, tracking ambient conditions of the product in transportation, blockchain-enabled smart contracts, etc. Internet of Things provides connectivity among physical devices, thereby integrating the spatially distant entities in the supply chain. Cloud computing empowers the supply chain stakeholders to seamlessly share the data and obtain the centralization of data storage. Big data enables a significant reduction in the efforts required to capture and retrieve data. Finally, analytics help in swiftly making decisions based on Artificial Intelligence/machine learning-based algorithms, thus, introducing speed and accuracy in supply chains.
This Special Issue focuses on how Industry 4.0 technologies introduce sustainability into the supply chains and, hence, support the Sustainable Development Goals (SDGs) of the United Nations. It is expected that submissions must map their work on these SDGs.
Potential topics include, but are not limited to:
- Industry 4.0 technology selection for sustainable supply chain;
- Application of adoption theories in the use of Industry 4.0 technologies for sustainable supply chain management;
- Industry 4.0 facilitating fulfilment of SDGs set by supply chains;
- Data driven supply chains for achieving sustainability;
- Digitally enabled circular supply chains.
Dr. Gunjan Soni
Dr. Vipul Jain
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
- Industry 4.0
- blockchain
- internet of things
- machine learning
- artificial intelligence
- sustainability
- circular economy
- net zero
