scholarly journals Simulation Project for Logistics of Brazilian Soybean Exportation

2020 ◽  
Vol 19 (4) ◽  
pp. 571-582
Author(s):  
H. S. Lopes ◽  
R. S. Lima ◽  
F. Leal
Keyword(s):  
Integrated Management ◽  
Discrete Event ◽  
International Market ◽  
Simulation Method ◽  
Strategic Analysis ◽  
Logistics System ◽  
Logistics Systems ◽  
Event Simulation ◽  
Global Logistics ◽  
Systems Simulation

Decision-making in complex logistics systems involves high risks and associated impacts. A way to forecast the impacts of these decisions is through the use of systems simulation projects, where the systematic impacts of the parameters can be visualized. This study presents a project based on Discrete-Event Simulation (DES) that analyses Brazilian soybean export logistics from producing regions to main international customers. The strategic analysis of a global logistics system using DES is a particularity of this study. At the conception stage, the conceptual modelling was made using IDEF-SIM (Integrated Definition Methods – Simulation) method, which allowed a better abstraction of reality and more accurate model implementation. The experimental analysis took place through the construction of 39 scenarios with specific characteristics that verified system behaviours through proposed changes. The analyses and decisions are based on costs. The simulations indicated the necessity for: a) an integrated management between the systems agents; b) the development of internal transportation infrastructure, especially railways and waterways, to increase competitiveness of Brazilian soybeans in the international market.

Methodologies and Approaches in Discrete Event Simulation

2008 ◽  
pp. 1-35
Author(s):  
Evon M. O. Abu-Taieh ◽  
Asim Abdel Rahman El Sheikh
Keyword(s):  
Discrete Event ◽  
Activity Cycle ◽  
Scale Model ◽  
Discrete Events ◽  
Web Based ◽  
Event Simulation ◽  
Modeling Approaches ◽  
Continuous Models ◽  
Systems Simulation ◽  
Cycle Diagram

This chapter aims to give a comprehensive explanatory platform of simulation background. As this chapter comprises of four sections, it reviews simulation definitions, forms of models, the need for simulation, simulation approaches and modeling notations. Simulation definition is essential in order to set research boundaries. Moreover, the chapter discusses forms of models: scale model of the real system, or discrete and continuous models. Subsequently, the chapter states documentation of several reasons by different authors pertaining to the question of “why simulate?,” followed by a thorough discussion of modeling approaches in respect to general considerations. Simulation modeling approaches are discussed with special emphasis on the discrete events type only: process-interaction, event scheduling, and activity scanning, yet, a slight comparison is made between the different approaches. Furthermore, the chapter discusses modeling notations activity cycle diagram (ACD) with different versions of the ACD. Furthermore, the chapter discusses petri nets, which handle concurrent discrete events dynamic systems simulation. In addition, Monte Carlo simulation is discussed due to its important applications. Finally, the fourth section of this chapter reviews Web-based simulation, along with all three different types of object-oriented simulation and modeling.

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 Optimising Outpatient Pharmacy Staffing to Minimise Patients Queue Time using Discrete Event Simulation

2021 ◽  
Vol 7 (2) ◽  
pp. 102
Author(s):  
Putri Amelia ◽  
Artya Lathifah ◽  
Muhammad Dliya'ul Haq ◽  
Christoph Lorenz Reimann ◽  
Yudi Setiawan
Keyword(s):  
Waiting Time ◽  
Discrete Event ◽  
Outpatient Service ◽  
Simulation Method ◽  
Quality Of Services ◽  
Discrete Simulation ◽  
Event Simulation ◽  
Unit System ◽  
Effectiveness Analysis

Background: To remain relevant in the customer-oriented market, hospitals must pay attention to the quality of services and meet customers' expectations from admission to discharge stage. For an outpatient customer, pharmacy is the last unit visited before discharge. It is likely to influence patient satisfaction and reflect the quality of hospital's service. However, at certain hospitals, the waiting time is long. Resources need to be deployed strategically to reduce queue time. Objective: This research aims to arrange the number of staff (pharmacists and workers) in each station in the pharmacy outpatient service to minimise the queue time.Methods: A discrete simulation method is used to observe the waiting time spent at the pharmacy. The simulation run is valid and effective to test the scenario. Results: It is recommended to add more personnel for the non-compounding medicine and packaging to reduce the waiting time by 22.41%Conclusion: By adding personnel to non-compounding and packaging stations, the system performance could be improved. Cost-effectiveness analysis should be done to corroborate the finding. Keywords: Discrete Event Simulation, Hospital, Outpatient Service, Pharmacy Unit, System AnalysisBackground: To remain relevant in the customer-oriented market, hospitals must pay attention to the quality of services and meet customers' expectations from admission to discharge stage. For an outpatient customer, pharmacy is the last unit visited before discharge. It is likely to influence patient satisfaction and reflect the quality of hospital's service. However, at certain hospitals, the waiting time is long. Resources need to be deployed strategically to reduce queue time. Objective: This research aims to arrange the number of staff (pharmacists and workers) in each station in the pharmacy outpatient service to minimise the queue time.Methods: A discrete simulation method is used to observe the waiting time spent at the pharmacy. The simulation run is valid and effective to test the scenario. Results: It is recommended to add more personnel for the non-compounding medicine and packaging to reduce the waiting time by 22.41%Conclusion: By adding personnel to non-compounding and packaging stations, the system performance could be improved. Cost-effectiveness analysis should be done to corroborate the finding. Keywords:Discrete Event Simulation, Hospital, Outpatient Service, Pharmacy Unit, System Analysis

A Modeling and Simulation of Production Process in Subassembly Lines at a Shipyard

2004 ◽  
Vol 20 (02) ◽  
pp. 79-83
Author(s):  
Jong Gye Shin ◽  
Kwang Kook Lee ◽  
Jong Hun Woo ◽  
Won Don Kim ◽  
Jang Hyun Lee ◽  
...  
Keyword(s):  
Production Process ◽  
Process Model ◽  
Discrete Event ◽  
Unified Modeling Language ◽  
Simulation Method ◽  
Unified Modeling ◽  
Event Simulation ◽  
Modeling Methodology ◽  
Proposed Model ◽  
Welding Processes

In order to simulate material flow in a subassembly line at a shipyard, the product, process, and resources are modeled for the subassembly process. The subassembly line is selected from a large shipyard and consists of several subprocesses, such as base joining, piece alignment, tack welding, and robot welding processes. The analysis and modeling procedure were carried out using the Unified Modeling Language (UML), an object-oriented modeling methodology, and Integration Definition (IDEF), a functional modeling tool. Initially, the characteristics of the shop resources were analyzed using the shipyard data and the layout of the subassembly line was designed with the resources. A production process was then modeled using the resources and the layout. The production process modeling of the subassembly lines was performed using the discrete event simulation method. Using the constructed resource and process model, the productivity and efficiency of the line were investigated. Variations in the resource performance, such as a new welding robot and the number of workers, were examined to simulate changes in productivity. It can be seen that bottlenecks occur in different places according to the nature of new resources. The proposed model is viewed three-dimensionally in a virtual environment so that space allocations for the resources and interferences between objects can be easily investigated.

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.

Sign in / Sign up

Export Citation Format

Share Document