A Systematic Review on Technologies for Data-Driven Production Logistics: Their Role from a Holistic and Value Creation Perspective

Masoud Zafarzadeh, Magnus Wiktorsson and Jannicke Baalsrud Hauge
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Masoud Zafarzadeh: Department of Sustainable Production Development, KTH Royal Institute of Technology, 114 28 Stockholm, Sweden
Magnus Wiktorsson: Department of Sustainable Production Development, KTH Royal Institute of Technology, 114 28 Stockholm, Sweden
Jannicke Baalsrud Hauge: Department of Sustainable Production Development, KTH Royal Institute of Technology, 114 28 Stockholm, Sweden

Logistics, 2021, vol. 5, issue 2, 1-32

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.

Keywords: data-driven; smart; process automation; production logistics; technology; transition; autonomous systems (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlogis:v:5:y:2021:i:2:p:24-:d:541896

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