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Sheffield Hallam University large scale project docs

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Project: "Optimizing Cargo Container Stacking for Efficient Transportation"

Goal: Develop a program to optimize the stacking of cargo containers on a truck or train, minimizing the number of stacks needed, reducing transportation costs, and ensuring safe and efficient cargo transport.

Requirements:

• Input:
• • Container dimensions (length, width, height)
  • Container weights
  • Truck or train dimensions (length, width, height)
• Output:
• • Optimal stacking configuration (number of stacks, containers per stack)
  • Visual representation of the stacking arrangement (optional)

Constraints:

• Containers must be stacked horizontally and vertically, with no overlapping
• Containers must be stacked within the truck or train dimensions
• Heavy containers should be placed at the bottom to ensure stability

Algorithm:

1. Data Pre-processing:
2. • Sort containers by weight and size
   • Group containers by similar dimensions to reduce complexity
3. Stacking Algorithm:
4. • Use a greedy algorithm to stack containers, prioritizing heaviest and largest first
   • Optimize stack height and width to minimize the number of stacks
   • Consider using a metaheuristic algorithm (e.g., genetic algorithm, simulated annealing) for more efficient optimization
5. Stacking Configuration:
6. • Determine the optimal number of stacks and containers per stack
   • Consider factors like container stability, weight distribution, and cargo security

Unique Aspects:

• This project combines basic algorithms with real-world applications, allowing you to explore different optimization techniques and compare their efficiency.
• You can investigate the impact of different truck or train dimensions on the stacking configuration.

Deliverables:

1. Written Report:
2. • Explain the algorithm and its logic
   • Discuss the optimization techniques used and their effectiveness
   • Include visual representations of the stacking arrangement (if implemented)
3. Program:
4. • Implement the algorithm in a programming language (e.g., Python, C++)
   • Include test cases and results demonstrating the program's effectiveness
5. Presentation:
6. • Prepare a presentation summarizing the project, its goals, and its outcomes
   • Discuss potential applications and future developments

Additional Aspects to Consider:

• Cargo Security: Investigate ways to ensure cargo security during transportation, such as optimizing stacking to minimize container movement.
• Environmental Impact: Explore the environmental benefits of optimizing cargo container stacking, such as reducing fuel consumption and emissions.
• Real-World Data: Use real-world data on container dimensions, weights, and transportation routes to test and validate your program.
• User Interface: Develop a user-friendly interface for the program, allowing users to input container dimensions and weights and visualize the optimal stacking configuration.