Supply Chain Management in Smart City Manufacturing Clusters: An Alternative Approach to Urban Freight Mobility with Electric Vehicles

Agnieszka Deja (), Wojciech Ślączka, Magdalena Kaup, Jacek Szołtysek, Lyudmyla Dzhuguryan and Tygran Dzhuguryan
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Agnieszka Deja: Faculty of Economics and Transport Engineering, Maritime University of Szczecin, Wały Chrobrego Street 1-2, 70-507 Szczecin, Poland
Wojciech Ślączka: Faculty of Navigation, Maritime University of Szczecin, Wały Chrobrego Street 1-2, 70-507 Szczecin, Poland
Magdalena Kaup: Faculty of Navigation, Maritime University of Szczecin, Wały Chrobrego Street 1-2, 70-507 Szczecin, Poland
Jacek Szołtysek: Faculty of Management, University of Economics in Katowice, ul. Bogucicka 3a, 40-226 Katowice, Poland
Lyudmyla Dzhuguryan: I. J. Paderewski Non-Public Primary School Promyk Szkoła Jak Dom with Bilingual Forms, ul. Starzyńskiego 3-4, 70-506 Szczecin, Poland
Tygran Dzhuguryan: Faculty of Economics and Transport Engineering, Maritime University of Szczecin, Wały Chrobrego Street 1-2, 70-507 Szczecin, Poland

Energies, 2024, vol. 17, issue 21, 1-27

Abstract: The development of green production types such as personalized production and shared manufacturing, which use additive technologies in city multifloor manufacturing clusters (CMFMCs), has led to an increase in last-mile parcel delivery (LMPD) activity. This study investigates the integration of electric vehicles and crowdshipping systems into smart CMMCs to improve urban logistics operations related to the distribution of products to consumers. The aim of this study is to improve the LMPD performance of these integrated systems and to provide alternative solutions for sustainable city logistics using the potential of crowdshipping and vehicle sharing fleets (VSFs) in the city logistics nodes (CLNs) of CMFMCs. The issues presented by the loading–unloading operations and sustainable crowdshipping scenarios for LMPD in CMFMCs are considered. This paper presents a new performance evaluation model for crowdshipping LMPD in CMFMCs using VSFs. The case study shows that the proposed model enables the analysis of LMPD performance in CMFMCs, taking into account their finite production capacity, and that it facilitates the planning of cargo turnover and the structure of VSFs consisting of e-bicycles, e-cars, and e-light commercial vehicles (e-LCVs). The model is verified based on a case study for sustainable LMPD scenarios using VSFs. The proposed model enables the planning of both short- and long-term logistics operations with the specified performance indicator of VSF usage in CMFMCs. The validity of using the integrated potential of crowdshipping and vehicle sharing services for LMPD under demand uncertainty in CMFMCs is discussed. This study should prove useful for decision-making and planning processes related to LMPD in CMFMCs and large cities.

Keywords: smart city; manufacturing; sustainability; freight logistics; crowdshipping; electric vehicles; management (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: 2024
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