Energy-Efficiency in Sustainable Supply Chains and Logistics
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".
Deadline for manuscript submissions: closed (31 May 2023) | Viewed by 4119
Special Issue Editor
Interests: process improvement; lean; Industry 4.0 technologies; logistics systems; decision-making methods
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The changes taking place today have a significant impact on the ideal design and operation of supply chains and logistics processes. The increasingly frequent war conflicts and epidemic situations result in many problems, which make the development and application of new solutions essential for companies. The tool system available to researchers is significantly increased by the powerful digitization realized in the new era known as the 4.0 industrial revolution, as well as the spread of cyber-physical systems. Compared to the past, there is/can be a greater variety of data available, so increasing efficiency can be achieved in terms of process development and optimization. In this Special Issue, we expect new methods, procedures, and business models related to the field of supply chains and logistics to be described, with the help of which the energy efficiency of the examined systems can be increased.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Process development of supply chains;
- Optimization of logistics processes;
- Risk management of supply chains;
- Application of new solutions based on Industry 4.0 tools in logistics;
- Methods of increasing energy efficiency in supply chains and logistics.
References
Dobos, P.; Cservenák, Á.; Skapinyecz, R.; Illés, B.; Tamás, P. Development of an Industry 4.0-Based Analytical Method for the Value Stream Centered Optimization of Demand-Driven Warehousing Systems. Sustainability 2021, 13, 11914; https://doi.org/10.3390/su132111914
Tamás, P.; Tollár, S.; Illés, B.; Bányai, T.; Tóth, Á.B.; Skapinyecz, R. Decision Support Simulation Method for Process Improvement of Electronic Product Testing Systems. Sustainability 2020, 12, 3063; https://doi.org/10.3390/su12073063
Tamás, P. Innovative Business Model for Realization of Sustainable Supply Chain at the Outsourcing Examination of Logistics Services. Sustainability 2018, 10, 210; https://doi.org/10.3390/su10010210
Dr. Péter Tamás
Guest Editor
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Keywords
- optimization techniques
- process development
- renewable energy
- sustainable supply chain
- risk management
- environmental awareness
- energy efficiency
- virtual logistics center
- business models
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