@inproceedings{6b3bbb05abb44d0eabb7e9f6028327ce,
title = "Autonomization and Digitalization: Index of Last Mile 4.0 Inclusive Transition",
abstract = "While autonomization and digitalization solutions appear beneficial within last mile delivery process, the literature on these solutions remain fragmented and distributed across different themes among various research papers. This paper aims to assemble some of the prominent solutions and outline their key characteristics to guide our researchers in future studies. To do so, this paper first extensively investigates the available literature and presents the most prominent solutions in a prioritization and categorization method (PCM) approach. Where these solutions currently stand in the perspective of inclusive last mile 4.0 transition is then discussed in our findings.",
keywords = "autonomization, digitalization, last mile delivery, last mile 4.0, big data, logistics 4.0, Digitalization, Logistics 4.0, Last mile delivery, Autonomization, Big data, Last mile 4.0",
author = "Adriana Saraceni and Rozali Oleko and Lisi Guan and Adarsh Bagaria and Lieven Quintens",
note = "data source: Systematic literature review - full data description including references in Appendixes 1, 2, 3 and 4. Funding Information: Acknowledgements. The authors would like to thank the OP Zuid program awarded funding. The project is made possible, in part, by financial support from the European Union (European Fund for Regional Development), OP-Zuid, the Province of North Brabant, the Province of Limburg and the Ministry of Economic Affairs and Climate. Publisher Copyright: {\textcopyright} 2022, IFIP International Federation for Information Processing.",
year = "2022",
month = sep,
day = "19",
doi = "10.1007/978-3-031-16407-1\_21",
language = "English",
isbn = "978-3-031-16406-4",
series = "IFIP Advances in Information and Communication Technology",
publisher = "Springer, Cham",
pages = "173--182",
editor = "Kim, \{Duck Young\} and \{von Cieminski\}, Gregor and David Romero",
booktitle = "Advances in Production Management Systems. Smart Manufacturing and Logistics Systems",
address = "Switzerland",
}