Maintenance modeling and operation parameters optimization for complex production line under reliability constraints

An optimal preventive maintenance policy and optimization method of operation parameters for a production line consisting of multiple execution units is described herein. According to the characteristics of the production unit, the relationship between the reliability and operating parameters of the...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Annals of operations research Jg. 311; H. 1; S. 507 - 523
Hauptverfasser: Zhou, Hongming, Wang, Sufen, Qi, Faqun, Gao, Shun
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.04.2022
Springer
Springer Nature B.V
Schlagworte:
Algorithms
Assembly lines
Assembly-line methods
Business and Management
Combinatorics
Computer simulation
Decision making
Friction
Genetic algorithms
Heuristic methods
Maintenance
Maintenance costs
Maintenance management
Mathematical models
Mathematical optimization
Monte Carlo simulation
Operations research
Operations Research/Decision Theory
Optimization
Parameters
Preventive maintenance
Production planning
Reliability
Reliability (Engineering)
S.I.: Reliability Modeling with Applications Based on Big Data
Scheduling
Standard deviation
Theory of Computation
Useful life
China
Maintenance costs
Bi-objective optimization
Complex production line
Preventive maintenance
Reliability constraints
ISSN:0254-5330, 1572-9338
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:An optimal preventive maintenance policy and optimization method of operation parameters for a production line consisting of multiple execution units is described herein. According to the characteristics of the production unit, the relationship between the reliability and operating parameters of the execution unit is established, as well as its relationship between the operating parameters and maintenance cost. The minimum maintenance cost and effective operating speed is selected as the objective, and the optimal parameters are derived by heuristic algorithm. Finally, a numerical example and simulation experiments are shown which validated the effectiveness of the proposed method.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0254-5330
1572-9338
DOI:10.1007/s10479-019-03228-9