The Distributer's Three-Dimensional Pallet-Packing Problem: A Human Intelligence-Based Heuristic Approach

Abstract

The Distributor's Pallet Packing Problem is to load a set of distinct boxes with given dimensions on pallets or in containers to maximize volume utilization. This problem is still in its early stages of research, but there is a high level of interest in developing effective models to solve this NP-hard problem to reduce the time, energy and other resources spent in packing pallets. In its search to improve operations, the Air Force is also making an effort to solve this problem. Building an analytical model and developing a genetic algorithm approach have been tried, but the problem needs more research and there is a need to produce realistic solutions in a reasonable amount of time. We develop a special heuristic algorithm and code it in the C programming language. In our model, we used powerful heuristic tools and dynamic data structure to mimic human behavior, providing a new solution approach to pallet packing. We created another program to visualize packing results. Tests on hundreds of problems show that our model makes the most of volume utilization in minimal time making it a leader among presented and published works.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2001
Accession Number
ADA391201

Entities

People

  • Erhan Baltacioglu

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • C Programming Language
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Evolutionary Algorithms
  • Genetic Algorithms
  • Heuristic Methods
  • Human Behavior
  • Integer Programming
  • Language
  • Operations Research
  • Optimization
  • Programming Languages
  • Three Dimensional

Fields of Study

  • Computer science

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Logistics and Supply Chain Management.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Biotechnology