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Optimizing Pit to Port Logistics

A documented Process Optimization in Automotive deployment at Optimizing Pit, with source-attributed results and missing evidence labelled explicitly.

Maintained by Peter Korpak, Founder & Chief AnalystHow evidence is checked

Evidence at a glance

Evidence status:
Automated evidence gate passed
Deployment timeframe:
Not reported by source
Reported outcome metrics:
Not reported by source
Directory entry published:

The source-link check confirms reachability, not independent re-verification of every claim.

The Challenge

Designing the most cost effective integrated solution that provides a robust system capable of delivering budget tonnages. An Arena Model was built to encompass all aspects of the production lines through loadout onto trucks to understand the areas of opportunity within the plant.

The Solution

Recognizing SMS as a leader in modelling and analytics technologies, the SMS team was engaged to review supply chain logistics to ensure target throughput levels could be achieved and proposed infrastructure was appropriately sized. Simulation modelling provides a means of understanding the likely performance of supply chains with complex interacting subsystems. Having developed numerous models of mining supply chains, SMS knew that the Arena simulation software was eminently suited to simulate and evaluate the supply chain operations. SMS worked with project stakeholders to review the propose

Results

The simulation reassured stakeholders that the goals planned were achievable. This fully outlined the requirements in the design to reach their desired throughputs.

Key Takeaways

Technology: Digital Twin. Industry: Automotive.

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Details

Industry
Automotive
AI Technology
Digital Twin
Evidence status
Automated evidence gate passed
Deployment timeframe
Not reported by source
Directory entry published

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