Counting the Cost of Machinery Health Monitoring in the Steel Industry,

Abstract

A model developed originally at Glaxo Wellcome Operations, U.K Ltd., by B.S.Rajan has been adapted and modified in order to assess its suitability for application in the steel industry; exemplified typically by the maintenance requirements of the Hot Rolling Mill. Several models were investigated and evaluated, from which, Rajan's model was selected. The direct repair cost and consequential cost savings are established and examined in relation to the cost of carrying out machinery condition monitoring. A sensitivity test was undertaken to identify the most critical factors which control costs. These were found to be: probability of detection of machine deterioration, machine reliability, standby facility, system downtime duration, and the efficiency of condition monitoring utilization.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA347366

Entities

People

  • B. J. Roylance
  • L. S. Van Putten

Organizations

  • Swansea University

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Amortization
  • Condition Based Maintenance
  • Cost Models
  • Costs
  • Detection
  • Downtime
  • Engineering
  • Equations
  • Maintenance
  • Mechanical Engineering
  • Money
  • Monitoring
  • Probability
  • Reliability
  • Rolling Mills
  • Steel Industry

Readers

  • Logistics and Supply Chain Management.
  • Structural Health Monitoring of Composite Structures.
  • Systems Analysis and Design