Real Time Locating System for a Learning Cross-Docking Warehouse

6 Pages Posted: 10 Jun 2021

See all articles by Andrea Sbaragli

Andrea Sbaragli

University of Trento

Francesco Pilati

University of Trento

Alberto Regattieri

University of Bologna

Yuval Cohen

Tel-Aviv University

Date Written: June 7, 2021

Abstract

Real time locating systems (RTLS) represent today an established and reliable technology to identify, track and monitor, in real time with any human commitment, the dynamic evolution of the spatial location of tagged entities inside factory layout. This results in more effective and continuous monitoring of products, stock-keeping units (SKU), and vehicles of production plants or logistic facilities. This paper targets the adoption of such RTLS in warehousing systems focusing on the related learning opportunities to enhance the efficacy and the productivity of the storage process which have consistent externalities during the order picking. For this purpose, a cross-docking warehouse is equipped with an ultrawideband (UWB)-based RTLS to track any forklifts traveling activities and SKU dynamic locations. A set of relevant data is automatically generated by the interactions between the transmitters, which are installed on board of the forklifts and connected to the SKU barcode readers, and the receivers, which are displaced in fixed positions all over the warehouse layout for optimizing the data transmissions. Furthermore, to yield further insights into the performed storage and retrieval operations, the daily incoming and outcoming shipping orders are also considered at the detail level of every single SKU. All this relevant information is merged into a unique database that evolves in real time representing the dynamic evolution of the warehouse operations over time. A digital representation of the physical storage system is developed to leverage such relevant datasets through adequate data analysis algorithms. A set of quantitative key performance indicators is evaluated, and suggestions are automatically offered to the warehouse manager to improve the storage system efficiency. The implementation of such modification, through a feedback loop, is to offer the unique opportunity to such warehousing system to analytically learn by its process’s underperformances, as well as to evaluate the efficacy and efficiency of the corrective actions suggested by the developed algorithms.

Keywords: Real time locating system; cross-docking warehouse; learning factories; intelligent algorithms; feedback loop

JEL Classification: R41;L99;L81

Suggested Citation

Sbaragli, Andrea and Pilati, Francesco and Regattieri, Alberto and Cohen, Yuval, Real Time Locating System for a Learning Cross-Docking Warehouse (June 7, 2021). Proceedings of the Conference on Learning Factories (CLF) 2021, Available at SSRN: https://ssrn.com/abstract=3861702 or http://dx.doi.org/10.2139/ssrn.3861702

Andrea Sbaragli (Contact Author)

University of Trento ( email )

Via Giuseppe Verdi 26
Trento, Trento 38152
Italy

Francesco Pilati

University of Trento

Via Giuseppe Verdi 26
Trento, Trento 38152
Italy

Alberto Regattieri

University of Bologna

Piazza Scaravilli 2
Bologna, 40100
Italy

Yuval Cohen

Tel-Aviv University

Tel-Aviv
Israel

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