Optimization of Continuous Maintenance Availability Scheduling

Abstract

Every few months each United States submarine must return to a port to undergo major maintenance that cannot be conducted at sea. These maintenance periods are called Continuous Maintenance Availability (CMAV) periods. All CMAV scheduling aboard the two remaining submarine tenders in the United States fleet, the USS Emory S. Land (AS 39) and the USS Frank Cable (AS 40), is currently done manually. The schedulers rely on their experience and sound judgment with the goal of successfully completing the most maintenance as quickly and efficiently as possible for approximately 200 jobs, 50 maintenance shops and a host of other considerations. In this thesis, we develop a job-shop scheduling model, the CMAV Scheduler (CMAV-S). This is a large-scale, mixed-integer, linear program that accounts for a variety of scheduling inputs commonly used by planners: job priority, duration, allowed window of execution, prerequisites, mandatory character, workforce used and available (by shop), and special submarine conditions (active or inactive) needed to perform a job. CMAV-S produces near-optimal schedules that achieve maximum value for all scheduled jobs in about one minute. When compared to our own manual scheduling, we observe CMAV-S improves up to 25% the required CMAV length to schedule all maintenance.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2014
Accession Number
ADA620492

Entities

People

  • Cyrus K. Anderson

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Applied Mathematics
  • Job Shop Scheduling
  • Linear Programming
  • Maintenance
  • Maintenance Personnel
  • Mathematical Programming
  • Operations Research
  • Optimization
  • Repair
  • Repair Shops
  • Ships
  • Students
  • Submarines
  • United States
  • United States Central Command
  • United States Naval Academy
  • United States Pacific Command

Readers

  • Logistics and Supply Chain Management.
  • Occupational Health and Safety.
  • Operations Research