Achieving Smart Factory through Predictive Dynamic Scheduling

reportActive / Technical Report | Accession Number: AD1102622 | Open PDF

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.

Author(s):
Zepernick, Robert
Author Organization(s):
Forcam Cincinnati
Descriptive Note:
Technical Report
Pagination:
0038

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release
Distribution Statement:
Approved For Public Release;

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
FCDD-AME-M
 Subject Terms
Joint Capability Areas:
JCA_5_Command and Control; JCA_4.3_Maintain; JCA_1_Force Support; JCA_5.3_Planning; JCA_5.2_Understand; JCA_5.2.3_Share Knowledge and Situational Awareness; JCA_5.3.2_Apply Situational Understanding; JCA_1.1_Force Management; JCA_4.6_Engineering; JCA_4.6.1_General Engineering; JCA_1.2_Force Preparation; JCA_6_Net Centric; JCA_1.4.2_Health Service Delivery; JCA_1.4_Force Support; JCA_1.2.3_Educating; JCA_4.1_Deployment and Distribution; JCA_5.4_Decide; JCA_6.4.1_Secure Information Exchange; JCA_1.2.1_Training; JCA_6.4_Information Assurance; JCA_3.2_Engagement
Modernization Areas:
Cyber
Communities of Interest:
Cyber
Descriptor(s):
scheduling (production), computer programs, downtime, preventive maintenance, best practices, algorithms, integrated systems, predictions, PREDICTIVE ANALYTICS
Field(s)/Group(s):
Logistics, Military Facilities and Supplies, Administration and Management, Operations Research
Keyword(s):
PREDICTIVE DYNAMIC SCHEDULING
Report Date:
2019 Oct 15
Creation Date:
2020 Jun 30