Optimizing Energy Consumption in Internal Transportation Using Dynamic Transportation Vehicles Assignment Model: Case Study in Printing Company

Vitalii Naumov, Daniel Kubek, Paweł Więcek, Iwona Skalna, Jerzy Duda, Robert Goncerz and Tomasz Derlecki
Additional contact information
Vitalii Naumov: Department of Transportation Systems, Faculty of Civil Engineering, Cracow University of Technology, 31-155 Kraków, Poland
Daniel Kubek: Department of Transportation Systems, Faculty of Civil Engineering, Cracow University of Technology, 31-155 Kraków, Poland
Paweł Więcek: Department of Transportation Systems, Faculty of Civil Engineering, Cracow University of Technology, 31-155 Kraków, Poland
Iwona Skalna: Department of Business Informatics and Management Engineering, Faculty of Management, AGH University of Science and Technology, 30-067 Kraków, Poland
Jerzy Duda: Department of Business Informatics and Management Engineering, Faculty of Management, AGH University of Science and Technology, 30-067 Kraków, Poland
Robert Goncerz: Walstead Central Europe Kraków Sp. z o.o., 30-733 Kraków, Poland
Tomasz Derlecki: Walstead Central Europe Kraków Sp. z o.o., 30-733 Kraków, Poland

Energies, 2021, vol. 14, issue 15, 1-22

Abstract: Energy costs account for a significant proportion of total costs in production systems. Since energy is becoming an increasingly expensive resource, therefore, it is critical to consume it as efficiently as possible. Focusing on energy efficiency is also important in terms of reducing greenhouse gas (GHG) emissions and the effects of other pollutants on the environment. One of the possible ways for businesses to reduce energy consumption is to use available transportation means as efficiently as possible. In the operational phase, this can be achieved by reducing unnecessary transport, selecting the most efficient delivery routes, and by optimized assignment of available vehicles to transportation orders. We present in this article a novel dynamic assignment of transportation orders to fleet with energy minimization criterion in internal transport system of a printing company. The novelty of the proposed model is that, in contrast to most existing models, it can handle a heterogeneous fleet of human-operated and autonomous mobile robots (AMRs). The minimization of the energy consumption by transportation vehicles was modeled with reference to VDI 2198 standard. The need for such a model is justified by the fact that it better reflects a real production environment in many companies. The proposed optimization model was tested in simulation experiments imitating real production conditions in a large web printing house. The obtained results show that the proposed model allows for a significant reduction of energy consumption in internal transportation. The proposed model is general enough to be used in various companies with a heterogeneous fleet of internal transportation vehicles. In addition, the energy consumption factor VDI for AMRs has been determined, which can be useful in solving various problems related to energy optimization of internal transportation.

Keywords: energy consumption; optimization; internal transportation system; heterogeneous fleet (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/15/4557/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/15/4557/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:15:p:4557-:d:603066

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().