In today’s CEP industry, distribution centres have access to enormous amounts of data. Understanding and working with these data are extremely valuable tools for improving the sortation throughput of a parcel distribution centre.
Running an efficient distribution centre is an increasingly complicated task. With e-commerce on the rise, distribution centres handle a higher number of parcels and an increasing variety of sizes, shapes and packaging. All of it represents a golden opportunity, but it also puts a strain on sortation systems. The best and most cost-efficient strategy for distribution centres to thrive in an age of e-commerce is through digitalisation and data analytics. Through data comes a new level of insight, which gives the power to dramatically increase operational efficiency and throughput.
Real time dashboards
Customisable
Central data storage
Broadened learning perspective
Abnormality detection
Trend detection
By use of today’s tools for big data mining, streamed data can be enriched and filtered to secure the quality of the data, which is aggregated and prepared for simple visualisation. This type of data mining not only provides insight into the current performance of a parcel handling system, but also enables the build-up of a historical record for future investigations and learnings across a number of systems.
At BEUMER Group we have worked with data for a number of years and have used these learnings to extend our services to the predictive and prescriptive level. BEUMER’s digital capability offers a growing suite of data-driven services to enable employees at the maintenance, operational and management levels to make better informed decisions.
Alarm – supervision of logs and detection of abnormalities to alert the distribution centre operator.
Prediction – predictive maintenance.
Digital twin – a real time visual representation of the parcel handling system.
Vision – image classification.
Optimisation – data driven approach to system optimisations.
Director Sales Logistic Systems