Achieving Smart Factory through Predictive Dynamic Scheduling

Abstract

The proposed solution is aimed at dynamically scheduling maintenance opportunity windows based on the machine health information. Currently for existing production scheduling software, machine planned downtime is incorporated into the production schedule by time-based preventative maintenance schedules or by the experience and domain knowledge of the plant personnel. Current dynamic scheduling software systems effectively assume that the machines are 100 percent healthy and that similar machines do not degrade at different rates.

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Document Details

Document Type
Technical Report
Publication Date
Oct 15, 2019
Accession Number
AD1102622

Entities

People

  • Robert Zepernick

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Application Software
  • Business Administration
  • Data Analysis
  • Detectors
  • Engineers
  • Failure Mode And Effect Analysis
  • Instruction Manuals
  • Instructions
  • Lead Time
  • Maintenance
  • Operating Systems
  • Predictive Analytics
  • Production
  • Scheduling (Production)
  • Software Development
  • Students
  • Web Browsers

Fields of Study

  • Computer science

Readers

  • Logistics and Supply Chain Management.
  • Systems Analysis and Design