scholarly journals Application of Discrete Event Simulation (DES) for Queuing System Improvement at Hypermarket

2019 ◽  
Author(s):  
Fazeeda Mohamad ◽  
Siti Filza Saharin
Keyword(s):  
Discrete Event Simulation ◽  
System Performance ◽  
Discrete Event ◽  
Simulation Software ◽  
Queuing System ◽  
Computer Simulation Model ◽  
Time Study ◽  
Actual System ◽  
Event Simulation ◽  
System Improvement

This paper focuses on the development of a computer simulation model for improving the queuing system at a hypermarket using Discrete Event Simulation (DES) and to propose the most efficient hypermarket queuing system for overall improvement. Data were collected from the Hypermarket A using the time study. The method of this study is using modeling and simulation. Arena Simulation Software is used to develop the model to replicate the actual system. Three scenarios had been tested, and the alternatives will be ranked based on the level of the efficiency of the system performance. The most efficient queuing system is identified based on the scenario analysis. In this study, the waiting time for each customer can be improved by up to 26%, which equivalent to 5.24 minutes. Overall, this study contributes to a better understanding of the queuing system performance.

Discrete Event Simulation Of The COVID-19 Sample Collection Point Operation

2021 ◽  
Author(s):  
Martina Kuncova ◽  
Katerina Svitkova ◽  
Alena Vackova ◽  
Milena Vankova
Keyword(s):  
Discrete Event Simulation ◽  
Waiting Times ◽  
Discrete Event ◽  
Real Data ◽  
Simulation Software ◽  
Sample Collection ◽  
The Real ◽  
Event Simulation ◽  
Collection Process ◽  
Collection Point

The year 2020 was very challenging for everyone due to the COVID-19 pandemic. Many people turn their lives upside down from day to day. Politicians had to impose completely unprecedented measures, and doctors immediately had to adapt to the huge influx of patients and the massive demand for testing. Of course, not all processes could be planned completely efficiently, given that the situation literally changes from minute to minute, but sometimes better planning could improve the real processes. This contribution deals with the application of simulation software SIMUL8 to the analysis of the COVID-19 sample collection process in a drive-in point in a hospital. The main aim is to create a model based on the real data and then to find out the suitable number of other staff (medics) helping a doctor during the process to decrease the number of unattended patients and their waiting times.

scholarly journals Optimization of tillage and sowing operations using discrete event simulation 

2018 ◽  
Vol 64 (No. 4) ◽  
pp. 187-194 ◽  
Author(s):  
Armaghan Kosari Moghaddam ◽  
Hassan Sadrnia ◽  
Hassan Aghel ◽  
Mohammad Bannayan
Keyword(s):  
Discrete Event Simulation ◽  
Discrete Event ◽  
Daily Basis ◽  
Simulation Software ◽  
Field Size ◽  
Daily Work ◽  
Event Simulation ◽  
Significant Difference ◽  
Average Work ◽  
Work Method

A simulation model was developed for secondary tillage and sowing operations in autumn, using discrete event simulation technique in Arena<sup>®</sup> simulation software (Version 14). Eight machinery sets were evaluated on a 50-hectare farm. Total costs including fixed-costs, variable costs and timeliness costs were calculated for each machinery set. Timeliness costs were estimated for 21-years period on daily basis (Daily Work method) and compared with another method (Average Work method) based on the equation proposed by ASAE Standards, EP 496.3FEB2006. The Inputs of the model were machinery sets, field size, machines performances and daily soil workability state. The optimization criteria were the lowest costs and lowest standard deviation in daily work method plus the lowest costs based on average work method. The validity of the model was evaluated by comparing the output of the model with field observed data collected from various farms. Results revealed that there was no significant difference (P &gt; 0.01) between the observed and predicted finish day. 

The Operational Reliability Analysis of Airplane Tractor Drivers

2012 ◽  
Vol 433-440 ◽  
pp. 2480-2485
Author(s):  
Shi Fan Zhu ◽  
Jiang Jiang
Keyword(s):  
Task Performance ◽  
Discrete Event Simulation ◽  
Human Error ◽  
Discrete Event ◽  
Operational Reliability ◽  
Simulation Software ◽  
Airport Security ◽  
Driving Experience ◽  
Event Simulation ◽  
Tractor Driver

The operating accuracy of the tractor driver directly affects the transportation efficiency and the airport security. The research of the human reliability is an important way to measure task performance and reduce errors. The main content of the study is to analyze the reliability of the driver of the towbarless tractor in Harbin International Airport. The task network is established using the method of HTN according to the towing actions. The reliabilities of each operation are calculated with the methods such as HCR and the characteristics of human behaviour (SOR). The simulation model is run for a hundred thousand times on the platform of the discrete event simulation software QUEST, and conclusions are brought out, one of them is the reliability of the driver is 99.666%. The main causes of the human error are the qualification and driving experience of the drivers and the circumstance of the airport.

COMPUTER SIMULATION SOFTWARE REUSE BY GENERIC/SPECIFIC DOMAIN MODELING APPROACH

1994 ◽  
Vol 04 (01) ◽  
pp. 81-102 ◽  
Author(s):  
CHUNG-HORNG LUNG ◽  
JEFFERY K. COCHRAN ◽  
GERALD T. MACKULAK ◽  
JOSEPH E. URBAN
Keyword(s):  
Discrete Event Simulation ◽  
Software Reuse ◽  
Discrete Event ◽  
Domain Analysis ◽  
Simulation Software ◽  
Lessons Learned ◽  
Domain Modeling ◽  
Specific Approach ◽  
Event Simulation ◽  
Modeling Approach

Software reuse has drawn much attention in computing research. Domain analysis is considered a prerequisite to effective reuse of existing software. Several approaches and methodologies have been proposed for domain analysis or domain modeling, but not many case studies have been reported in the literature. The first objective of this paper is to present the concept and practical experiences of a domain analysis approach in discrete-event simulation in manufacturing — generic /specific modeling. A second objective of this paper is to present a meta-model based on the generic/ specific approach from the software engineering perspective. The steps and knowledge required to build the model are described. Domain analysis lessons learned from the generic/specific approach in discrete-event simulation are discussed. Classification of this domain modeling approach was conducted through the Wartik and Prieto-Diaz criteria. The classification will facilitate the comparison with other domain analysis approaches. Similar modeling concepts or techniques may be beneficial to other researchers in their own application domains.

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