BIG DATA ON DIGITAL LOGISTICS IN SUPPLY CHAIN RISK PERSPECTIVE

Authors

  • Resista Vikaliana Researchers at LPPM Institut Ilmu Sosial dan Manajemen Stiami

DOI:

https://doi.org/10.31334/jli.v2i1.215

Keywords:

Big Data, Logistics, Key Risk Indicators

Abstract

In Industry 4.0, digital transformation moves quickly, flexibly and efficiently. Logistics and supply chains have transformed into web-based. Internet of things (IoT) and Big Data are important in the decision making process.   The importance of big data doesn’t revolve around how much data you have, but what you do with it. In addition to the opportunities to use big data, there are possible risks that must be anticipated. The wide range of data that can be obtained, so that in practice key risk indicators will act as an early warning system for the entity. Key risk indicators and their parameters.

References

Govindan, Kannana, , T.C.E. Chengb, Nishikant Mishrac, Nagesh Shukla. 2018. Big data analytics and application for logistics and supply chain management. www.elsevier.com/locate/trewww.elsevier.com/locate/tre (http://dx.doi.org/10.1016/j.tre.2018.03.)

Witkowski. Krzysztof Witkowski 2017. Internet of Things, Big Data, Industry 4.0 Innovative Solutions in Logistics and Supply Chains Management. Peerhttp://creativecommons-reviewunderresponsibility.org/licenses/byof-thenc-nd/4organizing.

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www.datapine

https://www.supplychainmarket.com/doc/the-new-era-of-digital-logistics-0001

http://www.arthanugraha.com/2015/01/13/manajemen-risiko-logistik/

http://mediaindonesia.com/read/detail/7414-menyambut-big-data-peluang-dan-tantangannya

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Published

2018-10-22

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Section

Articles