A Simulation Model of Cargo Handling for the Mars Class Combat Stores Ship Conversion.

Abstract

A simulation model is presented in this research which models the operating characteristics of the upgraded cargo handling systems supporting underway replenishment for the MARS Class ship conversion program. The replacement of installed package conveyors with elevators will substantially improve the ship's vertical lift capability and consequently should improve cargo handling efforts. In this thesis we develop a simulation model to assess the impact of this improvement while demonstrating the benefit of using simulation methods as a decision support tool. We present two scenarios; the first provides a preliminary estimate of the vertical lift capability of the newly installed 12,000 1b capacity elevators. Secondly, the model is expanded to assess one of the main deck cargo handling functions involving forklift operations moving material delivered by one or two of the new 12,000 1b elevators. The results of the simulation show that forklift cargo delivery functions along the ship's main deck can be expected to be the controlling factor in determining the time required to complete cargo handling operations. Although the model presented is specifically designed for the USS SAN JOSE it is adaptable for use on other ships of the class.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1994
Accession Number
ADA294735

Entities

People

  • Michael K. Fabish

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Business Administration
  • Cargo Handling
  • Conveyors
  • Flight Decks
  • Logistics
  • Management Personnel
  • Manufacturing
  • Materials
  • Materials Handling
  • Naval Operations
  • Naval Warfare
  • Navy
  • Organizational Structure
  • Procurement
  • Random Variables
  • Simulations
  • Systems Engineering

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.
  • Naval Architecture and Marine Engineering.