Buffer allocation and preventive maintenance optimization in unreliable production lines

In this paper, we consider a serial production line consisting of n unreliable machines with n - 1 buffers. The objective is to determine the optimal preventive maintenance policy and the optimal buffer allocation that will minimize the total system cost subject to a given system throughput level. W...

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Bibliographic Details
Published in:Journal of intelligent manufacturing Vol. 28; no. 1; pp. 85 - 93
Main Author: Nahas, Nabil
Format: Journal Article
Language:English
Published: New York Springer US 01.01.2017
Springer Nature B.V
Subjects:
Algorithms
Allocations
Assembly lines
Buffer inventories
Buffers
Business and Management
Control
Design optimization
Failure
Inventory
Inventory control
Machines
Manufacturing
Markov analysis
Mathematical analysis
Mathematical models
Mechatronics
Optimization
Optimization algorithms
Preventive maintenance
Processes
Production
Production lines
Production planning
Raw materials
Robotics
Studies
Work in process
Production line
Unreliable machines
Extended great deluge algorithm
Buffer allocation
Preventive maintenance
ISSN:0956-5515, 1572-8145
Online Access:Get full text
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Summary:In this paper, we consider a serial production line consisting of n unreliable machines with n - 1 buffers. The objective is to determine the optimal preventive maintenance policy and the optimal buffer allocation that will minimize the total system cost subject to a given system throughput level. We assume that the mean time between failure of all machines will be increased after performing periodic preventive maintenance. An analytical decomposition-type approximation is used to estimate the production line throughput. The optimal design problem is formulated as a combinatorial optimization one where the decision variables are buffer levels and times between preventive maintenance. To solve this problem, the extended great deluge algorithm is proposed. Illustrative numerical examples are presented to illustrate the model.
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ISSN:0956-5515
1572-8145
DOI:10.1007/s10845-014-0963-y