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Container Load Optimisation

Why Cylindrical & Cubical Matters

The goal of the Container Load Optimisation solution is to maximise the packing utilisation of loads in a container, while adhering to the rules and restrictions of the parties shipping the loads. ​

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Key Features

Container Load Optimisation

Project Argus Container Load Optimisation solution incorporates both cylindrical and cubical (or cubic) shape load measurements, along with consideration for CO2 emissions, offers several competitive advantages over solutions that don't have this dual functionality:​

01
By accounting for both cylindrical and cubical cargo shapes, the solution provides a more comprehensive and accurate assessment of cargo volume. ​
02
It is versatile and adaptable to various industries and cargo types, making it an attractive solution for Shippers, Freight Forwarders & Airlines.
03
Optimisation of both cylindrical and cubical cargo can result in cost savings. This includes reducing the number of containers required, minimising fuel consumption, and avoiding fines or fees associated with excessive emissions, all contributing to lower operational costs.​

Key Features of Argus Container Load Optimisation Solution​

Platform

• Web-based solution​• Multi-user access​• Security – Authentication​• User and Data Level Authorisation​• Audit Logs​• Integration for external data sources​• Automation of workflows​

Output Reports

• Container Summary Report​• Detailed Load Plan report​• Layout Diagram by container​• Customised reports and dashboard​

UI / UX

• Dashboards & Analytics reports​• Exception Reports​• Multi-Dimensional Visualisations​• Planner oriented UI design for Intuitive UX​• Export to PDF and MS Office​• Custom measures and KPIs

Algorithm

• Customised Meta-Heuristics are used to solve this combinatorial non-linear loading problem​• Algorithm tuned for balancing optimality and speed​• The algorithm also addresses cylindrical shapes; this is the only known commercial algorithm in the industry for loading cylindrical loads.​• Algorithm is parameterised at each level​• Addresses loading of loads along any of the 3 axes.​• Considers load-specific & customer-specific constraints.​

Are you looking to calculate the packing utilisation of cubical and cylindrical load under certain constraints or conditions? ​

Process Flow of Container Load Optimisation​

01

Input

• Dimensions of the container(s)​• Dimensions of the load​• Shipment quantities​• Customer details​• Shipment rule and restrictions​
02

Optimiser

• Customised meta-heuristic that balances optimality and speed​• Founded on past research and experience of the Spashta team in building Optimisation algorithms​
03

Output

Load Plan for each container​• Which load goes into which container​• Visualisation of placement of the load in the container​
04

What-ifs

• Scenario Planning (What-if planning based on possibilities)​• Relevant Parameters and rules exposed to users for performing what-if plans or re-plans.​
05

Release

• Release finalised container layout plan for loading​

Load Optimisation Solution

Gateway to revolutionising container load optimisation. Our cutting-edge software empowers businesses in the logistics industry to streamline container loading processes, maximising efficiency and minimising costs.

Use Promo Code: CLO500 (Limited time only)

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info@projectargus.co
Office Tel:
+65 6747 2832

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+65 6852 9990

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Project Argus Pte. Ltd2 Sims CI, #06-07, Gemini @ Sims 387298 SingaporeD-U-N-S Number 65-997-2417GST Registration No: 202141089C
Project Argus Supply Chain Solutions Pvt Ltd Mo-4, 3Rd Floor, Shankaraa Foundation Campus,Kanakapura Rd, Doddakallasandra, India,Bangalore Karnataka, 560062, India
ARGUS TECHNOLOGY (SHANGHAI) CO., LTD.,Zone C, 3rd Floor, No.5, Lane 255, Dongyu Road, China (Shanghai) Pilot Free Trade Zone
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