Design and application of Internet of things-based warehouse management system for smart logistics

By C.K.M. Lee, Y. Lv, K. Ng, William Ho, K.L. Choy. International Journal of Production Research, 2018

364 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/527c2be12d95c8a95e9eb9ed8714df59cd4eb4c5

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In Industrial and Manufacturing Engineering

Citations in the corpus

Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things (2020, background): “Smart transportation enabled by AIoT covers trafﬁc participants (e.g., smart internet of vehicles [256]), trafﬁc infrastructures [257], and industry applications (e.g., smart connected logistics [258]).”
Logistics 4.0: a systematic review towards a new logistics system (2019, methodology): “…(2009), Yuen, Choi, and Yang (2010) Warehousing, Packaging and Warehouse Management 25 Xu (2014), Semunab et al. (2016), Kim and Park (2016), Lee et al. (2017), Zhou et al. (2017), Ramakrishnan, Gaur, and Singh (2016), Reaidy, Gunasekaran, and Spalanzani (2015), Pan et al. (2015), Culler…”
Smart logistics based on the internet of things technology: an overview (2020, background): “space utilisation, misplaced stocks, and errors in inventory records (Lee et al. 2018; Lim, Bahr, and Leung 2013; Poon et al. 2009).”
Exploring Organizational Sustainability of Industry 4.0 under the Triple Bottom Line: The Case of a Manufacturing Company (2018, background): “Most of them put the attention exclusively on the economic dimension, underlining the impact on the remaining dimensions as a positive externality [6,56].”
The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review (2020, methodology): “Fuzzy logic incorporated with machine learning algorithms can support and improve the order picking process (Lee et al. 2018).”