Production and preventive maintenance rates control in a failure-prone manufacturing system using discrete event simulation and simulated annealing algorithm

2018 ◽  
Vol 32 (6) ◽  
pp. 552 ◽  
Author(s):  
Sayyed Mohammad Reza Davoodi ◽  
Shahab Amelian
Keyword(s):  
Simulated Annealing ◽  
Discrete Event Simulation ◽  
Preventive Maintenance ◽  
Manufacturing System ◽  
Simulated Annealing Algorithm ◽  
Discrete Event ◽  
Event Simulation ◽  
Annealing Algorithm

scholarly journals A Methodology to Adapt and Understand a Manufacturing System and Operations using Discrete-Event Simulatio

2019 ◽  
Vol 8 (6) ◽  
pp. 4998-5003
Keyword(s):  
Discrete Event Simulation ◽  
Manufacturing Industry ◽  
Manufacturing System ◽  
Discrete Event ◽  
The State ◽  
State Variables ◽  
Event Simulation ◽  
Potential Benefits ◽  
Short Hand

Discrete-Event Simulation (DES) is concerned with system and modeling of that system, where the state of the system is transformed at different discrete points from time to time, and several event occurs from time to time and the changes in state variables will transform then activities/attributes connected to these state variables changes according to the event. It is a robust methodology in the manufacturing industry for strategic, tactical, and operational applications for an organization, and yet organizations ignore to use simulation and do not rely on it. Moreover, companies that are using DES are not using the potential benefits but merely used as a short-hand basis for problems like bottlenecks, optimization, and in later stages of production like PLM, this paper aims to apply and analyze Discrete-Event Simulation through a Manufacturing System. The work describes here is to understand the concept of simulation for a system and to practice Discrete Event methodology

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