Simulation Project for Logistics of Brazilian Soybean Exportation (original) (raw)
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Research in Transportation Business & Management
In 2015, Brazil exported 54.32 million metric tons of soybeans, which represents 40.2% of the total world exports. Even with lower production costs, Brazil's competitive advantages are diminished due to difficulties with product distribution caused by problems in the logistical network. The objective of this study is to aid in strategic transport decision-making via a discrete event simulation project. The object of study is the logistical export system for soybeans for the state of Mato Grosso, the largest producer and exporter of soybeans in Brazil. The decision-making process is based on route costs and the availability of ports. Four different scenarios were simulated for the export system. At the end of the simulations performed for three months, and beyond simply comparing total costs, the results indicate that there is a need for the development and expansion of, primarily the Port of Vitória and the ports in the north of Brazil, as well as the multimodal logistics flow to these operational ports.
From farm to port: Simulation of the grain logistics in Brazil
2015 Winter Simulation Conference (WSC), 2015
This paper presents a study about soybean and corn multimodal transportation and storage, from farm to port, considering the resources, locations and interferences. The harvest seasonality, climatic changes, road conditions, truck availability and warehouse options configure a very complex system with dozen of options. A simulation model was developed to evaluate and discover the better option under some future expected scenarios. Train, barges and ships were also considered as part of the logistic process. A localization study was made to feed the model with the best warehouse locations from the logistic point of view, and the model helped to choose which locations should be adopted. The simulation considering the complete chain provided a very precise and insightful answer about the system performance, guiding the future investments in the process.
Proceedings of the 2006 Winter Simulation Conference, 2006
This paper presents a literature survey on recent use of discrete-event simulation in real-world manufacturing logistics decision-making. The sample of the survey consists of 52 relevant application papers from recent Winter Simulation Conference proceedings. We investigated what decisions were supported by the applications, case company characteristics, some methodological issues, and the software tools used. We found that the majority of applications has been reported in production plant design and in the evaluation of production policies, lot sizes, WIP levels and production plans/schedules. Findings also suggest that general-purpose DES software tools are suitable in most of these cases. For different possible reasons, few applications for multi-echelon supply chain decision-making have been reported. Software requirements for supply chain simulations also seem to differ slightly from those for established application areas. The applications described were carried out in a variety of different industries, with a clear predominance in the semiconductor and automotive industries. 2 THEORY 2.1 Manufacturing Logistics Manufacturing logistics deals with the design, planning and control of material flows and related information flows in manufacturing companies and their supply chains. It includes strategic, tactical and operational tasks, with scopes ranging from a single piece of equipment all the way to global supply chains encompassing several independent actors.
Multidimensional simulation as a tool for strategic logistics planning
Computers in Industry, 1995
The main argument of this paper is that a holistic view together with a multidimensional simulation tool outperforms the conventional means of logistics planning. By comprising the customer requirements, measurement of economical performance, supply constraints, physical material flows and ecological assessment the tool described provides the company management with a fast and reliable appraisal of various logistics scenarios of the future. Questions such as where to store, produce or locate production and under which exogenous circumstances will receive analyzed answers. Technical solution based on high-speed computing enables the evaluation of detailed and accurate models with voluminous data in reasonable response times. All this is integrated with a high-standard graphical user interface with interactive presentation and analysis of results. The paper cliscusses the applied approach and the solution structure of the system. The work is associated with an ongoing Esprit III pro,ject #8615-LOCOMOTIVE (Logistic Chain Multidimensional Design Toolbox with Environmental Assessment).
Computer Simulation of Logistics Processes Management – Possibilities and Solutions
Zeszyty Naukowe Politechniki Częstochowskiej Zarządzanie, 2019
The article presents the concept of modern simulation systems applicable in the analysis of the logistics chain configuration. The main goal of the article is to present advanced possibilities of using various methods of simulation of a logistic system, or to determine the appropriateness of introducing changes in the configuration of a logistics chain or the assessment of already prepared solutions for given logistics processes. The article contains a description of information technologies that can be used in simulation, including specialized simulation programs, spreadsheets, languages and simulation interfaces etc. The article presents the basic issues related to the creation of a logistics project simulation, as well as the possibilities of the FlexSim 3D Simulation software, which easily allows to map complex logistic processes. The simulation, including the data generated during its implementation on individual logistic processes, allows the selection of the most advantageous and optimization of the solutions used so far in a given process. The article presents an example of simulation of logistics issues in the production process and examples are presented to explain the cognitive appeal of this method based on the use of computer technology and FlexSim 3D Simulation software.
2010
This paper aims the development and employment of a computational tool to support strategic decisions about the planning and sizing of the logistics and production elements of a steel plant (stockyards, transportation fleet, etc.). This tool corresponds to a hybrid software application able to analyze and evaluate the complex logistic problem proposed by combining the techniques of Discrete Event Simulation (DES) Modeling and Multiple Criteria Decision Analysis (MCDA). Also, are presented the proposed steel plant logistic system characteristics, as well as the methodologies applied to build the computational tool and to analyze the simulation results. The study concludes that the DES model combined with MCDA methodology is highly efficient regarding complex logistic systems major characteristics assessment. 1 2126 978-1-4244-9864-2/10/$26.00 ©2010 IEEE
Logistics Processes and Systems Design Using Computer Simulation
Communications - Scientific letters of the University of Zilina, 2016
The aim of the logistics processes and systems designing is to draft such a logistics system in the pre-implementation phase which could meet all the necessary technical (optimum use of resources, high level of provided services, system flexibility, high transparency, etc.) as well as economic (return of investments, logistics costs, productivity, etc.) parameters without additional adjustments and interventions into the real system in the phase of its implementation and operation [2 and 3]. The current pressure on fast innovations in the factory means higher demands on logistics systems designing from the point of view of the laboriousness reduction, time and costs consumption for implementation of the entire designing process and increase of quality, complexity and information ability of outputs generated from the process [4]. Due to the above mentioned reasons it is possible to summarize the basic designing process requirements: • Quick draft of new solutions. • Observance of the...
Simulation for Logistics Performance Management:Comparing Different Approaches
Logistics networks are complex systems since they are made up by many elements interconnected by a great variety of non linear relationships. This property makes it impossible to study such systems with traditional analytical approaches. Therefore, computer simulation is a valuable tool to virtually replicate the structure of a logistics network, the relationships among its components, and the rules governing its functioning. The output of this process, the simulation model, can be run in order to reproduce the evolution of the real system over a specific time interval, and analyze its patterns of behavior. This work focuses on simulation approaches for managing the performance of logistics networks in manufacturing supply chains. With the aim of providing a reference framework for choosing the best tool, five approaches are reviewed and compared: Neural Networks, Petri Nets, Agent Based Modeling, Discrete Event Simulation, and System Dynamics. The results show that the complexity o...
Optimisation of Logistics Processes Using Simulation Tools
Multidisciplinary Aspects of Production Engineering
Optimization of production logistics processes through the use of simulation tools brings a lot of benefits to a production company, and thus significantly reduces production costs. Increasing competition resulting from the use of production automation to increase productivity has increased the complexity of production systems that can only be analysed by simulation. Production logistics performs management functions such as planning, motivating, organising and controlling. It does not deal with technological processes, but the organisation of physical delivery and displacement of components and information in the system. An important feature of production logistics is combining supply logistics with distribution logistics. If the production logistics is properly organised, it provides access to all materials and components of a given product during the implementation of a specific order. Simulation tools ensure continuity and rhythm of production after it is started, as well as con...