Special Issue "Sustainability and Energy Efficiency in Logistics"
Deadline for manuscript submissions: 23 February 2023 | Viewed by 1188
Interests: transport and traffic sciences; logistics
Interests: application of data science and AI in control and analysis of transport processes
The logistics industry is facing new challenges in operating global supply chains due to the specific circumstances introduced by the COVID-19 pandemic. Increased transit time and a lack of transport capacity caused by more exhaustive border controls, closing or reducing the capacity of ports and terminals, labour shortages, etc. require more efficient and sustainable logistic solutions. Simultaneously, the ecological imperative makes it necessary to employ environmentally friendly equipment and technology in transport and logistics. It is well known that reducing energy consumption is one of the keys to reducing greenhouse gas emissions into the atmosphere, and the logistics industry emits a significant portion of these.
Research and review articles are therefore invited for submission to this Special Issue that are related, but not limited, to:
- AI and data science for the optimization and analysis of logistics processes;
- Possibility of reducing energy consumption by optimizing logistics processes;
- Reduction of greenhouse gas emissions by introducing electric vehicles and other environmentally friendly equipment;
- Process automation in warehouse logistics and transportation;
- IoT solutions in transport, inventory, and warehouse management;
- Improving competitiveness of transport and logistics services and raising customer satisfaction;
- Sustainable supply chain solutions in terms of energy efficiency, environmental protection, working conditions, and social responsibility.
Prof. Dr. Mario Safran
Dr. Martin Gregurić
Dr. Dario Medić
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. Energies 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 2200 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.
- transport technology
- energy efficiency
- logistic services
- reverse logistic
- IoT solutions
- greenhouse gas emissions
- supply chain
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Energy Savings by Optimizing Warehouse Dock Door Alloca-tion
Authors: Ratko Stanković; Kristijan Rogić; Mario Šafran 1
Affiliation: Faculty of Transport and Traffic Sciences; Vukelićeva 4; HR-10000 Zagreb
Abstract: As energy consumption constantly gains importance, it has become one of the major issues in managing logistic systems. However, it is ranged against a company priorities, and the imperative of investing in energy rationalization to be justified by savings achieved thereof. A solution for reducing energy consumption by electric forklifts, in performing docking operations at distribution center, which requires no investments in infrastructure nor equipment, is outlined in this paper. The solution is based on optimizing dock door allocation, while the energy savings are quantified on the simulation model. A case study of a local FMCG distributor’s logistic center is conducted, to collect data and information needed for modelling inbound docking operations and performing simulation experiments. The optimal dock door allocation is obtained by the linear programming method, using MS Excel Spreadsheet Optimizer (Solver), while the simulation of the docking op-erations is carried out by using FlexSim simulation software. The experimental results show, the solution outlined in this paper provides between 11% and 12% energy reduction compared to the solution applied by the company from the case study.