pallet-loading

What it does

The skill is an expert system for pallet loading and optimization. It aims to help efficiently load boxes, cases, and items onto pallets while maximizing utilization, ensuring load stability, meeting weight constraints, and complying with shipping requirements.

How it works

• It starts with an Initial Assessment to collect pallet specifications (type, dimensions, capacity, weight, overhang), details of items to load (dimensions, weights, stackability, fragility, SKU variety), load constraints (max height, weight distribution, interlocking, wraps, anti-slip), shipping requirements (truck/rail, stacking, dock height), and optimization goals (maximize cases per pallet, minimize pallets, stability, space).
• It provides a Pallet Loading Framework with standard sizes by region and key concepts like Pallet Pattern, Interlocking, Column Stacking, Overhang, and Compression Strength.
• It formalizes the Pallet Loading Problem with an objective to maximize boxes loaded or minimize pallets, defines variables for positions, layer, orientation, and pattern, and lists constraints for fitting within pallet bounds, non-overlap, weight, stability, height, and compression.
• It supplies Algorithms and Solution Methods, including:
  • Pattern Generation Methods: Simple Block Pattern to maximize boxes per layer, and Interlocking Pattern Generator to alternate orientations by layer for stability.
  • Mixed SKU Pattern Optimization using integer programming to select how many of each item to load, with a representative objective of total volume and constraints on weight, quantity, and rough height.
• It includes Stability Analysis tools:
  • Center of Gravity Check to compute COG and assess stability against pallet center, returning cog coordinates, offset, stability score, and stability status.
  • Compression Strength Check to evaluate whether weight above each layer respects per-box compression strength, returning safety status and any issues.
• It offers a Complete Pallet Optimizer class to encapsulate a solution workflow, supporting various pallet types (GMA, EUR, ISO, custom), and parameters like weight capacity and max height, with methods to add items and compute a solution.

When to use it

• Use when there is a goal to maximize pallet utilization, improve stability, and satisfy shipping requirements for palletized loads. It is triggered by scenarios mentioning pallet optimization, pallet packing, pallet configuration, pallet pattern generation, unitization, palletization, case stacking, or pallet stability.

What it can touch

• References to functions and code blocks such as:
  • generate_block_pattern(box_dims, pallet_dims, allow_overhang=2)
  • generate_interlocking_pattern(box_dims, pallet_dims, num_layers)
  • optimize_mixed_sku_pallet(items, pallet_dims, max_weight)
  • check_center_of_gravity(loaded_items, pallet_dims)
  • check_compression_strength(layers, box_compression_strength)
  • PalletOptimizer class and its methods to configure pallets and add items
• Implementations assume tools like Python, and libraries implied in code samples (e.g., PuLP for optimization, numpy for math, matplotlib for visualization).

Caveats

• The Mixed SKU optimization uses a simplified height constraint and a placeholder heuristic; it may require refinement for production-grade exactness. The description mentions commonly used pallet types and patterns, but actual performance depends on input data quality and specific constraints.
• The safety checks rely on simplified models (e.g., compression strength per layer) and may not capture all real-world complexities without further tuning.