Designing simulation model for minimizing coal train unloading time: A case study of Kereta Api Logistik Company

Abstract The increase in coal production every year has influence the transport volume of coal trains of Kereta Api Logistik Company is getting higher. This increase causes the current number of train unloading equipment to be unable to keep up with this increase and has an impact on the poor performance of train unloading, which is indicated by the unachieved of train’s waiting time target. The coal train unloading system is a very complex system and many uncertainties occur, so the appropriate method to use is discrete event simulation. The simulation model is designed using the Simulation Arena software. The results of the simulation method are 4 alternative scenarios will be selected by the Bonferonni test. Scenario 4 has the highest reduction in train unloading operating time, which is 30.7%. The results of this study recommend the addition of a tool with a combination of 1 unit of Gantry Crane integrated with coal traveling hopper and 5 units of Dump Truck and for management, this recommendation can reduce high overtime costs every month and increase coal transport capacity so that coal transport profits will increase.

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Ship Block Logistics Simulation Based on Discrete Event Simulation

International Journal of Online Engineering (iJOE) ◽

10.3991/ijoe.v11i6.4968 ◽

2015 ◽

Vol 11 (6) ◽

pp. 16 ◽

Cited By ~ 1

Author(s):

Chong Wang ◽

Yun-sheng Mao ◽

Zu-quan Xiang ◽

Yong-qing Zhou

Keyword(s):

Simulation Model ◽

Discrete Event Simulation ◽

Discrete Event ◽

Simulation Method ◽

Planning And Scheduling ◽

Event Simulation ◽

Simulation Based ◽

Load Analysis ◽

Logistics Process ◽

Des Model

The load of resources in the block logistics process influences the mid-term planning and scheduling of shipyard management. Therefore, load analysis must be conducted before confirming the plans. However, conducting the analysis using the traditional mathematical model is difficult. This study suggests using the discrete event simulation (DES) method for load analysis in advance. The simulation model of actual shipyard block logistics is established by the DES software. Data on the structure of the product, process, resource, and schedule are clearly defined to match the DES model. Partial results through the simulation are discussed in terms of real production activities. The outputs prove that the proposed simulation model can help planners arrive at reasonable and rational decisions related to shipbuilding plans. This simulation method can contribute in strengthening the competitiveness of shipyards.

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Comparing Three Simulation Model Using Taxonomy: System Dynamic Simulation, Discrete Event Simulation and Agent Based Simulation

International Journal of Management Excellence ◽

10.17722/ijme.v1i3.17 ◽

2013 ◽

Vol 1 (3) ◽

pp. 54-59

Author(s):

Suliza Sumari ◽

Roliana Ibrahim ◽

Nor Hawaniah Zakaria ◽

Amy Hamijah Ab Hamid

Keyword(s):

Simulation Model ◽

Discrete Event Simulation ◽

Discrete Event ◽

Simulation Method ◽

System Dynamic ◽

Agent Based Simulation ◽

Agent Based ◽

Event Simulation ◽

System Dynamic Simulation

Simulation model is one of the methods commonly used in Operational Research in order to represent the real situation that occurs in a system as well as to test the scenario based on different behavior. In this paper we discuss about three different models used in simulation: system dynamic, agent based simulation and discrete event simulation. The aim of this paper is to compare all these three methods in context of features, advantages, disadvantages and tools being used in each simulation method. The comparison of this paper also includes the classification of simulation model using taxonomy. Throughout this paper, we view a few software tools usually being used in a simulation like Vensim, ProModel and AnyLogic.

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Stochastic simulation for determining the design flood of cascade reservoir systems

Hydrology Research ◽

10.2166/nh.2011.002 ◽

2012 ◽

Vol 43 (1-2) ◽

pp. 54-63 ◽

Cited By ~ 6

Author(s):

Baohong Lu ◽

Huanghe Gu ◽

Ziyin Xie ◽

Jiufu Liu ◽

Lejun Ma ◽

...

Keyword(s):

Simulation Model ◽

Stochastic Simulation ◽

Southern China ◽

Flow Simulation ◽

Simulation Method ◽

Simulation Approach ◽

Design Flood ◽

Design Values ◽

Stochastic Simulation Model ◽

The Impact

Stochastic simulation is widely applied for estimating the design flood of various hydrosystems. The design flood at a reservoir site should consider the impact of upstream reservoirs, along with any development of hydropower. This paper investigates and applies a stochastic simulation approach for determining the design flood of a complex cascade of reservoirs in the Longtan watershed, southern China. The magnitude of the design flood when the impact of the upstream reservoirs is considered is less than that without considering them. In particular, the stochastic simulation model takes into account both systematic and historical flood records. As the reliability of the frequency analysis increases with more representative samples, it is desirable to incorporate historical flood records, if available, into the stochastic simulation model. This study shows that the design values from the stochastic simulation method with historical flood records are higher than those without historical flood records. The paper demonstrates the advantages of adopting a stochastic flow simulation approach to address design-flood-related issues for a complex cascade reservoir system.

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