Intelligent Integrated Maintenance Policies for Manufacturing Systems

2010 ◽  
pp. 315-339
Author(s):  
N. Rezg ◽  
S. Dellagi
Keyword(s):  
Manufacturing Systems ◽  
Maintenance Policies

Impact of condition based maintenance policies on the service level of multi-stage manufacturing systems

2018 ◽  
Vol 76 ◽  
pp. 65-78
Author(s):  
Alessio Angius ◽  
Marcello Colledani ◽  
Anteneh Yemane
Keyword(s):  
Manufacturing Systems ◽  
Service Level ◽  
Condition Based Maintenance ◽  
Multi Stage ◽  
Maintenance Policies

Real-Time Maintenance Policy in Manufacturing Systems With Intermediate Buffers

2015 ◽  
Author(s):  
Xi Gu ◽  
Xiaoning Jin ◽  
Jun Ni
Keyword(s):  
Real Time ◽  
Manufacturing Systems ◽  
Maintenance Policy ◽  
Discrete Time Markov Chain ◽  
Markov Decision ◽  
Maintenance Decision ◽  
Maintenance Policies ◽  
Time Buffer ◽  
Buffer Capacities ◽  
One Machine

Real-time maintenance decision making in large manufacturing system is complex because it requires the integration of different information, including the degradation states of machines, as well as inventories in the intermediate buffers. In this paper, by using a discrete time Markov chain (DTMC) model, we consider the real-time maintenance policies in manufacturing systems consisting of multiple machines and intermediate buffers. The optimal policy is investigated by using a Markov Decision Process (MDP) approach. This policy is compared with a baseline policy, where the maintenance decision on one machine only depends on its degradation state. The result shows how the structures of the policies are affected by the buffer capacities and real-time buffer levels.

Development of simulation and optimization platform to analyse maintenance policies performances for manufacturing systems

2008 ◽  
Vol 21 (4) ◽  
pp. 407-414 ◽  
Author(s):  
O. Roux ◽  
M. A. Jamali ◽  
D. Ait Kadi ◽  
E. Châtelet
Keyword(s):  
Manufacturing Systems ◽  
Simulation And Optimization ◽  
Maintenance Policies

scholarly journals Energy Consumption-Based Maintenance Policy Optimization

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5674
Author(s):  
Ágota Bányai
Keyword(s):  
Energy Consumption ◽  
Manufacturing Systems ◽  
Discrete Event ◽  
Functional Model ◽  
Optimization Method ◽  
Maintenance Policy ◽  
Failure Data ◽  
Maintenance Policies ◽  
Value Determination ◽  
Policy Optimization

The optimal predictive, preventive, corrective and opportunistic maintenance policies play an important role in the success of sustainable maintenance operations. This study discusses a new energy efficiency-related maintenance policy optimization method, which is based on failure data and status information from both the physical system and the digital twin-based discrete event simulation. The study presents the functional model, the mathematical model and the solution algorithm. The maintenance optimization method proposed in this paper is made up of four main phases: computation of energy consumption based on the levelized cost of energy, computation of GHG emission, computation of value determination equations and application of the Howard’s policy iteration techniques. The approach was tested with a scenario analysis, where different electricity generation sources were taken into consideration. The computational results validated the optimization method and show that optimized maintenance policies can lead to an average of 38% cost reduction regarding energy consumption related costs. Practical implications of the proposed model and method regard the possibility of finding optimal maintenance policies that can affect the energy consumption and emissions from the operation and maintenance of manufacturing systems.

scholarly journals Considering human error in optimizing production and corrective and preventive maintenance policies for manufacturing systems

2016 ◽  
Vol 40 (3) ◽  
pp. 2056-2074 ◽  
Author(s):  
Behnam Emami-Mehrgani ◽  
W. Patrick Neumann ◽  
Sylvie Nadeau ◽  
Majid Bazrafshan
Keyword(s):  
Preventive Maintenance ◽  
Manufacturing Systems ◽  
Human Error ◽  
Maintenance Policies

Estimation of Real-Time Active Maintenance Opportunity Windows in Manufacturing Systems With Bernoulli Machines

2016 ◽  
Author(s):  
Xi Gu ◽  
Xiaoning Jin ◽  
Weihong Guo
Keyword(s):  
Real Time ◽  
Manufacturing Systems ◽  
Time Windows ◽  
The Real ◽  
Time Dynamics ◽  
Active Maintenance ◽  
Manufacturing Enterprises ◽  
Maintenance Policies ◽  
Demand Changes ◽  
One Machine

Effective maintenance operations are essential to improve the competitiveness of manufacturing enterprises. However, the existing maintenance policies usually ignore the real-time dynamics of the system and cannot respond promptly to the demand changes in the market. This paper investigates the hidden opportunities that one machine can be stopped for maintenance during production time, while the throughput requirement in a specific horizon can still be satisfied. We define these time windows as active maintenance opportunity windows (AMOWs), and predict them based on the real-time operational data in manufacturing systems with different configurations and Bernoulli machines.

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