Scheduling and Control, Performance Measures and Discrete Event Simulation

1998 ◽  
Vol 49 (2) ◽  
pp. 151
Author(s):  
R. Roy
Keyword(s):  
Discrete Event Simulation ◽  
Performance Measures ◽  
Discrete Event ◽  
Control Performance ◽  
Event Simulation ◽  
And Control

scholarly journals Discrete-event Simulation and Control Strategies for Underground Railways

1990 ◽  
Vol 23 (2) ◽  
pp. 141-145
Author(s):  
G. Casalino ◽  
A. Di Febbraro ◽  
A. Ferrara ◽  
R. Minciardi ◽  
D. Nicoletti
Keyword(s):  
Discrete Event Simulation ◽  
Control Strategies ◽  
Discrete Event ◽  
Event Simulation ◽  
Simulation And Control ◽  
And Control

ESTABLISHING AN OPTIMAL QUALITY PLANNING DECISION THROUGH DISCRETE EVENT SIMULATION: ANALYSIS CASE STUDY

2016 ◽  
Vol 78 (7) ◽  
Author(s):  
Nur Syazwani Abd Suki ◽  
Ong Hoay Yee ◽  
Shahrul Kamaruddin ◽  
Elmi Abu Bakar
Keyword(s):  
Discrete Event Simulation ◽  
Performance Measures ◽  
Discrete Event ◽  
Rejection Rate ◽  
Shop Floor ◽  
Quality Planning ◽  
Event Simulation ◽  
High Rejection Rate ◽  
High Rejection

Random in-process quality control (IPQC) is conducted in one of the departments in a circuit board manufacturing company, Company A, which produces high-mixed products, and results in complete failure of ensuring the quality of parts produced. Consequently, defects occur on the parts produced, leading to high rejection rate. This high rejection rate eventually results in high cost of non-value-added activities, which include rework of rejected parts. This paper introduces quality planning to ensure the quality of work-in-progress (WIP) parts in the production with discrete event simulation (DES) software. A series of experiments is conducted by using varying parameters, including flow patterns of parts in the shop floor and number of IPQC inspector, to assess the significance of these parameters on the performance measures relevant to quality perspective. Statistical analysis is conducted on the simulation results via ANOVA. Findings from this research prove that varying the parameters has a significant effect on the performance measures.

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