Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/310148 
Year of Publication: 
2021
Citation: 
[Journal:] Logistics [ISSN:] 2305-6290 [Volume:] 5 [Issue:] 2 [Article No.:] 24 [Year:] 2021 [Pages:] 1-32
Publisher: 
MDPI, Basel
Abstract: 
A data-driven approach in production logistics is adopted as a response to challenges such as low visibility and system rigidity. One important step for such a transition is to identify the enabling technologies from a value-creating perspective. The existing corpus of literature has discussed the benefits and applications of smart technologies in overall manufacturing or logistics. However, there is limited discussion specifically on a production logistics level, from a systematic perspective. This paper addresses two issues in this respect by conducting a systematic literature review and analyzing 142 articles. First, it covers the gap in literature concerning mapping the application of these smart technologies to specific production logistic activities. Ten groups of technologies were identified and production logistics activities divided into three major categories. A quantitative share assessment of the technologies in production logistics activities was carried out. Second, the ultimate goal of implementing these technologies is to create business value. This is addressed in this research by presenting the "production logistics data lifecycle" and the importance of having a balanced holistic perspective in technology development. The result of this paper is beneficial to build a ground to transit towards a data-driven state by knowing the applications and use cases described in the literature for the identified technologies.
Subjects: 
autonomous systems
data-driven
process automation
production logistics
smart
technology
transition
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
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