scholarly journals Warehouse Specification Proposition for Urbanis (Urban Farming Company) Using Discrete Event Simulation Method

2020 ◽  
Vol 5 (8) ◽  
pp. 117-132
Author(s):  
Ali Aqsa ◽  
Meditya Wasesa
Keyword(s):  
Discrete Event Simulation ◽  
Capital Expenditure ◽  
Discrete Event ◽  
Scale Up ◽  
Production Capacity ◽  
Food Product ◽  
Simulation Method ◽  
Urban Farming ◽  
Event Simulation ◽  
Operational Expenditure

Two percent of the world's surface use for cities, yet it consumes 75 percent of its resources. Urban farming is an emerging alternative food network that could supply some of the food needs in cities with less emission, healthier food, and the environment. Urbanis is a company that likes to contribute to the acceleration of urban farming, especially in Indonesia, by utilizing vacant land and labor. In 2021, Urbanis plans to scale up the production capacity to 10 tonnes per month or 400 kg per day. It requires us to have a warehouse to store the food product that has not been absorbed by the market. The purpose of this study is to find warehouse specifications for Urbanis and the amount of labor and rack inside the warehouse alongside capital and operational expenditure. This research uses a layout with an area of 5x14 meters for experimental design. The model then translated into a discrete-event simulation model named Anylogic. The results show, for each amount of arrival, the number of labor that utilizes effectively are two labors with a maximum number of rack 50. Given these results, the author conducted operational and capital expenditure, which consist of variable analysis and additional variables such as a table, fan, and chair. The result is Urbanis need Rp 50.738.000 for capital expenditure while Rp 10.871.337 for operational expenditure.

scholarly journals Ship Block Logistics Simulation Based on Discrete Event Simulation

2015 ◽  
Vol 11 (6) ◽  
pp. 16 ◽  
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.

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

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.

scholarly journals Supporting scale-up of COVID-19 RT-PCR testing processes with discrete event simulation

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0255214
Author(s):  
Jad El Hage ◽  
Patti Gravitt ◽  
Jacques Ravel ◽  
Nadia Lahrichi ◽  
Erica Gralla
Keyword(s):  
Discrete Event Simulation ◽  
Discrete Event ◽  
Scale Up ◽  
Simulation Models ◽  
The United States ◽  
Molecular Testing ◽  
Rt Pcr ◽  
Event Simulation ◽  
Trade Offs ◽  
The Impact

Testing is critical to mitigating the COVID-19 pandemic, but testing capacity has fallen short of the need in the United States and elsewhere, and long wait times have impeded rapid isolation of cases. Operational challenges such as supply problems and personnel shortages have led to these bottlenecks and inhibited the scale-up of testing to needed levels. This paper uses operational simulations to facilitate rapid scale-up of testing capacity during this public health emergency. Specifically, discrete event simulation models were developed to represent the RT-PCR testing process in a large University of Maryland testing center, which retrofitted high-throughput molecular testing capacity to meet pandemic demands in a partnership with the State of Maryland. The simulation models support analyses that identify process steps which create bottlenecks, and evaluate “what-if” scenarios for process changes that could expand testing capacity. This enables virtual experimentation to understand the trade-offs associated with different interventions that increase testing capacity, allowing the identification of solutions that have high leverage at a feasible and acceptable cost. For example, using a virucidal collection medium which enables safe discarding of swabs at the point of collection removed a time-consuming “deswabbing” step (a primary bottleneck in this laboratory) and nearly doubled the testing capacity. The models are also used to estimate the impact of demand variability on laboratory performance and the minimum equipment and personnel required to meet various target capacities, assisting in scale-up for any laboratories following the same process steps. In sum, the results demonstrate that by using simulation modeling of the operations of SARS-CoV-2 RT-PCR testing, preparedness planners are able to identify high-leverage process changes to increase testing capacity.

scholarly journals A STUDY OF THE CONCEPT OF DYNAMIC EQUIPMENT IN THE EARTHMOVING PROCESS BY A CONSIDERATION OF TIME, COST AND EMISSIONS

2013 ◽  
Vol 8 (3) ◽  
pp. 156-165
Author(s):  
Mojtaba Maghrebi ◽  
Meysam Ebrahiminejad ◽  
Eghbal Shakeri
Keyword(s):  
Discrete Event Simulation ◽  
Discrete Event ◽  
Simulation Method ◽  
Time Cost ◽  
Event Simulation ◽  
The Earth ◽  
Increase In Productivity

The earthmoving process is usually handled by a combination of multi-functional excavators and delivery trucks. According to the principles of excavation, a specific machine is selected to dig the earth. Sometimes, due to the difficulties in the process, the digging process is split between different machines with different capabilities. This paper aims to introduce the concept of dynamic equipment for allocating different tasks in an operation to a machine. This concept is discussed and modelled via a discrete-event simulation method and is tested in a real earthmoving operation from three different perspectives: time, cost and emission. The results from the case study show that the use of dynamic equipment will lead to a decrease in cost and emissions and an increase in productivity.

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