Paper Info
Title
Modeling and simulation for the Joint Maintenance-inventory Optimization of production Systems.
Abstract
Simulation methodologies are developed to model the joint optimization of preventive maintenance and spare part inventory for a specific industrial plant under different production configurations. First, spare part provision for a single-line system is considered, with the assumption that the demand is driven by maintenance requirements. The results indicate that a periodic review policy with replenishment as frequent as inspection is cost-optimal. Second, the joint optimization model for a multi-line (parallel) system is developed. It is found that a just-in-time review policy with inspection as frequent as replenishment produces the lowest cost policy. In this latter case, an implication of the proposed methodology is that, where mathematical modeling is intractable, or the use of certain assumptions make them impractical, simulation modeling is an appropriate solution tool. Under both production settings, the long-run average cost per unit time is used as the optimality criterion for the comparison of several policies.
Year
DOI
Venue
2018
10.1109/WSC.2018.8632283
WSC
Field
DocType
ISSN
Spare part,Optimality criterion,Systems engineering,Modeling and simulation,Computer science,Average cost,Simulation modeling,Inventory optimization,Reliability engineering,Maintenance engineering,Preventive maintenance
Conference
0891-7736
ISBN
Citations 
PageRank 
978-1-5386-6570
0
0.34
References 
Authors
0
1
Name
Order
Citations
PageRank
Farhad Zahedi-Hosseini130.73