Characteristics of a Container Stuffing Algorithm.

Abstract

This thesis examines the characteristics of a container stuffing station simulation model. The simulation parameters examined are average days between vessel arrivals, minimum load requirements, and container size. The response variables examined are shipment delay, container volume utilization, and single consignee proportion. The ranges of response variables for alternative environmental factors and simulation assumptions are identified. Following this, the sensitivity of response variables to changes in these factors are identified by using multiple regression analysis techniques. The results of this work show how response variables are affected by combinations of environmental factors and operations parameters.

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1975
Accession Number
ADA013470

Entities

People

  • Akira Sugimoto

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Containers
  • Data Science
  • Information Science
  • Mathematics
  • Regression Analysis
  • Sensitivity
  • Simulations
  • Statistical Algorithms

Readers

  • Aerospace logistics and air mobility.
  • Computational Modeling and Simulation
  • Regression Analysis.