Skip to main content

Klaveness Digital signs maritime supply chain transformation contract with SIMEC Mining

Published by , Editor
Global Mining Review,


Klaveness Digital has signed a new contract with SIMEC, a key player in the mining metals industry operating at Whyalla Port, Australia. Following a pilot project generating successful cost savings for the business, the expansion agreement will see both parties continue to digitalise maritime logistics for SIMEC in the coming years.

“We share the view that supply chain resilience is now more critical than ever, the stepwise approach to expanding our scope with SIMEC to transform operations out of Whyalla Port is a consequence of smart scaling and good collaboration between our teams this past year,” commented Klaveness Digital CEO, Aleksander Stensby.

“With the Whyalla Port increasingly handling more third-party cargo, we are constantly working to deliver streamlined and efficient operations to our customers. CargoValue enables us to make proactive, outcomes-based decisions to manage inventory and shipping schedules for all port users and capture significant savings for the business,” a SIMEC Mining spokesperson said.

CargoValue, Klaveness Digital’s digital twin solution for managing seaborne supply chains, is currently serving major charterers in the aluminium, steel, mining, agriculture, energy industries among others.

Stensby added: “With more key players coming on board, we’re seeing CargoValue increasingly build resilience and cost savings across the full value chain, our next ambition with customers focuses on Scope 3 emissions, driven by a mutual desire identify emissions hotspots and reduction potential all the way from pit to end consumer.”

Read the article online at: https://www.globalminingreview.com/technology-digitalisation/24022022/klaveness-digital-signs-maritime-supply-chain-transformation-contract-with-simec-mining/

You might also like

Taking Control With Artificial Intelligence

Jürgen Kern, Mario Gerards, and Michael Panholzer, ANDRITZ, examine how adopting AI-based control systems in the filtration process can result in higher reliability and lower operating costs.

 
 

Embed article link: (copy the HTML code below):