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

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

2003 ◽  
Vol 02 (01) ◽  
pp. 71-87 ◽  
Author(s):  
A. OYARBIDE ◽  
T. S. BAINES ◽  
J. M. KAY ◽  
J. LADBROOK

Discrete event simulation is a popular aid for manufacturing system design; however in application this technique can sometimes be unnecessarily complex. This paper is concerned with applying an alternative technique to manufacturing system design which may well provide an efficient form of rough-cut analysis. This technique is System Dynamics, and the work described in this paper has set about incorporating the principles of this technique into a computer based modelling tool that is tailored to manufacturing system design. This paper is structured to first explore the principles of System Dynamics and how they differ from Discrete Event Simulation. The opportunity for System Dynamics is then explored, and this leads to defining the capabilities that a suitable tool would need. This specification is then transformed into a computer modelling tool, which is then assessed by applying this tool to model an engine production facility.


Author(s):  
N. Bengtsson ◽  
J. Michaloski ◽  
F. Proctor ◽  
G. Shao ◽  
S. Venkatesh

Recently there has been an increased focus on the environmental aspects of the manufacturing industry across the world. Boeing and NIST have studied the incorporation of Life Cycle Assessments (LCA) parameters into Discrete Event Simulation (DES) as a means to analyze sustainable performance in the manufacturing area. Accurate analysis of manufacturing processes using Discrete Event Simulation requires detailed CNC production data. Using MTConnect, production LCA data from Boeing shop floor machine tools was acquired and was used to develop Discrete Event Simulation models. We will discuss our implementation, and analyze results of incorporating shop floor LCA data directly in DES models.


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