Logistics, Supply Chains, & Transportation
Moving products and materials isn’t as easy as it once was. Globalization has dramatically impacted the way companies do business. Consumers want products faster, and the marketplace is under pressure to meet those demands. So it is imperative organizations operate at maximum efficiency to remain competitive and profitable.
Simulating your strategy with ExtendSim makes sure everything and everyone gets where they need to be when they need to be there.
Logistics, Supply Chain, and Transportation Modeling with ExtendSim
Acquisition, sustainability, integrated logistics, collaborative supply chains, scheduling, service level, performance measurement, risk management, and process optimization.
Global logistics management.
Efficiently integrate suppliers, factories, warehouses and stores so that merchandise is produced and distributed in the right quantities, gets to the right locations and at the right time, and while minimizing total system cost.
Six Sigma/Lean initiatives.
Emergency planning.
Airport baggage and terminal operations modeling.
Help determine the optimal level of safety stock and cycle stock for supply chain processes.
Monitor freight movement to determine operational efficiency and rationalize planning decisions.
Logistics of container handling to improve system efficiency.
Pit to port mining supply chain simulations.
Impacts of regional urban development patterns on the performance of transportation infrastructure are being evaluated with ExtendSim.
Who is Using ExtendSim
DNV GL modeled a liquefied natural gas (LNG) supply chain in ExtendSim to determine the feasibility of an entire supply chain (gas→LNG→ship load→gas market). This complex case study examined this transport chain with regard to its export market and the number and type of ships. Details included the availability of an offshore installation (including the mobilization of vessels), an LNG onshore plant, plus shipping and regassification.
Baosteel Technology Center/Automation Institute, the largest iron and steel company in China and a global 500 company, used ExtendSim in a melt iron transportation logistics analysis project. This was the first discrete event simulation project Baosteel built with an off-the-shelf commercial tool. Edgestone Information Technologies Co., Ltd. teamed with the Baosteel Technology Center to lead the project in modeling and analytical experiments producing meaningful results in their capacity expansion evaluation project. Baosteel is impressed with the scalability of ExtendSim and the results of this project.
Huegin Consulting Group created a dynamic simulation of a Fly-In Fly-Out aviation network for a global Gold Mining company designed to help quantify and assess the relative likely performance of different aviation charter tenderers in terms of passenger movements and cost.
Worley Parsons created a supply chain simulation of a complex logging operation in New Zealand focusing on its port operations to assist in assessing throughput improvement options. This project undertook significant historical data modelling to create a robust, stochastic truck and docket arrivals generator that feeds a detailed port-side storage and log handling simulation. The simulation enables future annual target throughput to be defined, and from this, a realistic logging and shipping operation is simulated. It enables detailed quantitative assessment of the likely impacts of alternate business improvement options. This model uses ExtendSim's Advanced Resource Management capability in an a pseudo-object oriented model architecture.
BP Amoco used ExtendSim to simulate seasonal variations in their pipeline and for the tracking of inventory. Their combined continuous and discrete event model looked at the effects of fleet changes, tank storage, and pipeline. It modeled loading and unloading procedures as well as ballast water treatment.
Wagner SprayTech manages their ever-growing supply chain with an ExtendSim model showing stores, distribution centers, and assembly line constraints to eradicate delays of their consumer and professional paint application tools.
An oil and gas infrastructure simulation was created to test downstream storage options and strategies for tank management and ship prioritization to maximize production flow and minimize ship waiting time. The model included upstream feed sites and storage for transferring product along a 650 kilometer pipeline to a downstream storage site with multiple storage tanks, plus a shared wharf. The 16 year time horizon simulation also includes a detailed shipping representation with daylight navigation restrictions and background traffic competing for the berth.
Airport security agencies use ExtendSim to evaluate the effects on passenger flow of new airport security checkpoint equipment and procedures.
A detailed coal supply chain simulation was built by Wave International to test candidate materials handling facilities and stockpile management strategies. The simulation was fed by the mine plan, and each parcel of coal was tracked through the supply chain until blending in the MHF upon stacking, then managed reclaim blending upon train loading to dispatch trains as close to grade as possible.
IBM Global Services Australia built a print distribution model in ExtendSim to determine delivery times, resource requirements, duty rosters, and capacity to meet Service Level Agreements during Summer Olympic games.
A major oil company oil company used ExtendSim to validate the process design for a $5.7 billion capital project.
Case Studies
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Mesoscopic Discrete-Rate-Based Simulation Models for Production and Logistics Planning Tobias Reggelin, Sebastian Lang, and Christian Schauf Journal of Simulation - November 12, 2020 ![]() ![]() |
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Passenger Simulation in Airport Hub![]() Simulation helped Air France provide better connection rates for passengers traveling through Roissy-Charles-de-Gaule airport. Plus it enable them to reorganize their shuttle timetables to provide lower costs and better service to it passengers. ![]() |
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Little Things Have the Power to Break Big DAMs Gray McQuarrie, Grayrock & Associates The PCB Magazine - September 2012 ![]() ![]() |
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No DAM Extras…Like, Ever! Gray McQuarrie, Grayrock & Associates The PCB Magazine - October 2012 ![]() ![]() |
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Marine Highway Freight System George Mason University Consortium GMU, Department of CEIE and Department of Geography and Geo Information Science; Rutgers University; CSC Advanced Marine Center, Washington DC; GeoEye Incorporated; DLR, Germany The Marine highway system is in the forefront of alternate transportation concepts considered for meeting future freight capacity requirements. Moving freight by waterways reduces the impact of highway freight on the environment, saves transportation related fuel consumption, and reduces infrastructure maintenance cost, specifically on pavements and bridges. The system has the potential for complementing and increasing the productivity and performance of other intermodal systems. ![]() The project developed methods to compare potential cost savings in marine highways by coupling the following three modeling and analysis processes:
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Framework for Airport Outbound Passenger Flow Modelling Sultan Alodhaibi, Robert Burdett, Prasad KDV Yarlagadda - Queensland University of Technology 2016 Global Congress on Manufacturing and Management Procedia Engineering, Volume 174, pp. 1100-1109 2017 ![]() |
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Linear Bus Holding Model for Traffic Network Leonardo G. Hernandez-Landa, Miguel L. Morales-Marroquin, Yasmin A. Rios-Solis, Romeo Sanchez Nigenda; Autonomous University of Nuevo Leon Chapter from the book Applied Simulation and Optimization: In Logistics, Industrial and Aeronautical Practice (pp.303-319) • April 2015 ![]() ![]() |
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Time Sensitive/Dynamic Targeting Analysis Techniques and Results Aaron Newman, Steve Sokoly, Kevin Kennedy, Bobby Knight, Oliver Sadorra, Mike Baker, Ian Brown, Sharon Bemmerzouk, Kyle Ernest, Robin Leonard, William J. Sullivan IV, and Janet H. Dent; SRA International Inc. 10th ICCRTS Paper #263 • 13 April 2005 ![]() SRA uses ExtendSim, a commercial-off-the-shelf modeling environment, to develop a baseline model reflecting the latest Air Force Operational Tactics, Techniques, and Procedures (AFOTTP 2-3.2), including improvements from experiences in Operations Enduring Freedom (OEF) and Iraqi Freedom (OIF). SRA has used this baseline model to compare actual and exercise operations in various theaters and has used the model to analyze the performance of several initiatives in the Joint Expeditionary Force Experiment 2004 (JEFX 04). A logical out growth from this baseline TST/DT model is the development of a prototype Dynamic Targeting Debrief Tool (DT2). ![]() |
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Using GIS and Intelligent Transportation Tools for Biomass Supply Chain Modeling and Cost Assessment Slobodan Gutesa, Agricultural Engineering, lowa State University, 2013 Stable, functional, and efficient bioethanol production systems on the national level must emphasize solutions of feedstock availability and transportation problems. ![]() Here the author uses a discrete modeling technique to make proper assessment of the supply-chain system performance. The supply-chain model was a representation of a realistic biomass transportation cycle between a single cornfield and biomass storage, including multiple simulations using different model factors. ![]() |
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SIMFAIL: Simulating Complex Fault Models for Onboard Systems Integrated Group for Engineered Research -- José Antonio Becerra Permuy, Luis Carral Couce, Diego Crespo Pereira, David del Río Vilas, Richard J. Duro Fernández, Alejandro García del Valle, Fernando López Peña, Nadia Rego Monteil, Rosa Ríos Prado Electrorayma S.L. Centro Tecnolóxico do Naval Galego ![]() In this project simulation techniques were used for the complex task of predicting the interplay of effects related to faults between systems. By gathering and studying the data on elements of various ship systems, it was possible to obtain the statistical characterisation of their failure rates. This also made it possible to characterise the probabilities of failure in a system due to changes that another failure introduced. The developed model allows the user to set different scenarios for performing preventive maintenance. It also helps assess how they can translate into probabilities of failure, as well as the cost of both equipment and between different systems. As a result, two models were developed. The first is a particular model for each element, which lets the user see the influence that delaying maintenance has in the case of more faults. Each element has some time between maintenance, completion time for each type of maintenance or cause of an error and failure rates. The second model establishes a system to represent the possibility of system failure due to a prior fault in another one. Moreover, with this tool, one can determine the costs of different types of maintenance and how variations in maintenance time may increase or not these expenditures. ![]() |
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Minotauro: Comprehensive Methods for Organizing Shipyard Work Integrated Group for Engineered Research -- David del Río Vilas, Richard J. Duro Fernández, Alba Martínez López, Diego Crespo Pereira, Fernando López Peña, Alejandro García del Valle Centro Tecnolóxico do Naval Galego Francisco Cardama S.A. ![]() Using results from a detailed study of the operations taking place in the yard as well as precedence relations between tasks and the resource constraints involved, an ExtendSim model was built that included the variability and uncertainty caused by the arrival of new orders with different characteristics. The model helped reduce production times and improve product quality. Moreover, the safety of workers increased, while the consumption of resources gets reduced. ![]() |
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Urban Transport Corridor Mesoscopic Simulation Mihails Savrasovs, Transport and Telecommunication Institute, Riga, Latvia Presented at the 2011 European Conference on Modelling and Simulation, Kraków, Poland ![]() ![]() |
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Bioenergy Knowledge Discovery Network By US Department of Energy, Oak Ridge National Laboratory, Idaho National Laboratory, and the National Renewable Energy Laboratory ![]()
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Development and Implementation of Integrated Biomass Supply Analysis and Logistics Model (IBSAL Shahab Sokhansanja, Amit Kumarc, and Anthony F. Turhollowa Environmental Sciences Division, Oak Ridge National Laboratory; Department of Chemical and Biological Engineering, University of British Columbia; Department of Mechanical Engineering, University of Alberta Science Direct, October 2006 ![]() ![]() |
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Cognitive Process Simulation in Wine Making: Determining the Best Route for Wine Transfers Greg Hansen Wine Business Monthly This article describes the use of simulation to create a cognitive model of the actions of certain winery workers. ![]() |
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Simulation of the Grape Reception at a Winery Andrés Auger, Juan-Carlos Ferrer, Sergio Maturana, and Jorge Vera School of Engineering at the Universidad Católica de Chile, November 6, 2003 ![]() ![]() |
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Supply Chain Analysis Using Simulation, Gaussian Process Modelling and Optimisation Smew, W.; Young, P. & Geraghty, J. Enterprise Process Research Centre, School of Mechanical and Manufacturing Engineering, Dublin City University, Dublin, Ireland ![]() ![]() |
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Maintenance of a Vehicle Fleet 1Point2 • Sassenage, France ![]() ![]() |
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Fifth Edition of the ARLOG Award Presented for ExtendSim-based Project![]() The prestigious ARLOG award is granted biennially to projects that deepen and promote the development, innovation, and professionalization of logistics management. ![]() |
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Dynamic Security: An Agent-Based Model for Airport Defense William Wiess, Mitre Corporation Proceedings of the 2008 Winter Simulation Conference The Department of Homeland Security (DHS) shifted the focus of airport security to incorporate the need to continuously and rapidly adapt security to shifting threats. MITRE corporation developed a Dynamic Security Airport Simulation in which attacker and defense behavior in the airport environment are modeled. ![]() ![]() |
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Engine Maintenance Systems Evaluation (EnMasse) A User's Guide Prepared for the United States Air Force by Mahyar A. Amouzegar & Lionel A. Galway from the RAND Corporation, released for unlimited distribution 2003 Engine Maintenance Systems Evaluation (EnMasse) is a simulation model built in ExtendSim and used in the analysis of alternative Jet Engine Intermediate Maintenance (JEIM) policies. The result of the policy analysis conducted using EnMasse is reported in a companion document, Supporting Expeditionary Aerospace Forces: Alternatives for Jet Engine Intermediate Maintenance, MR-1431-AF, 2002, ISBN 978-0833031037. The goal of this analysis was to evaluate several alternatives for accomplishing JEIM support. Closely allied to maintenance policy are the maintenance structures within which these policies operate both in peace and war. ![]() |
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ExtendSim Helps Petroleum Contractor Save Money IIE Solutions DynMcDermott Petroleum Operations Company (DM), managing and operating contractor for the Department of Energy Strategic Petroleum Reserve (SPR), initiated reengineering of the SPR supply chain to reduce expenses, decrease need-fulfillment time, and improve the storage and dissemination of information. ![]() |
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Modeling and Simulation Support for the Standing Joint Force Headquarters by Susan Hutchins, Gordon Schacher, John Looney, Jack Jensen, John Osmundson, and Shelley Gallup from the Naval Postgraduate School; James Dailey and Steven Saylor from The Boeing Company 10th International Command and Control Research & Technology Symposium, May 2005 Boeing and the Naval Postgraduate School (NPS) developed an ExtendSim model of an organizational concept called Standing Joint Forces HQ (SJFHQ) being developed at the US Joint Forces Command (JFCOM). The modeling objective was to measure personnel utilization and organizational process efficiency. Here is the NPS final report and an abbreviated presentation given at a public command and control conference. The final report contains a lot of information about the actual ExtendSim model developed. ![]() |
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Application of Simulation Modeling for Air Force Enterprise IT Transformation Initiatives Lisa M. Fitzgerald & Tiffany J. Harper, Nova Technology Solutions Proceedings of the 2008 Winter Simulation Confence ![]() ExtendSim was used to create a simple simulation model to analyze the impact of ERP increased workload on network performance by simulating the flow of data packets, specifically at the Air Force Service Delivery Points (SDPs). Results showed a 15% increase in current workload (or current network traffic) will cause a 250% increase in end-user response time. ![]() |
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Implementation of Simulation for Network Service Delivery Point Capacity Analysis Tiffany J. Harper, Wright State University Further enhancements were made to the NovaTech model by Tiffany Jill Harper for a thesis submitted for the degree of Master of Science in Engineering at Wright State University. Her thesis showed a 98%, 209%, and 352% increase in response time when the current workload is increased by 10%, 20%, and 30%, respectively. ![]() |
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Optimization Models for Biofuel Logistic Systems Ilmars Dukulis, Gints Birzietis, Daina Kanaska of the Latvia University of Agriculture 7th International Scientific Conference on Engineering for Rural Development Biofuels are transport fuels made from organic material. The most common biofuels today are biodiesel (made from vegetable oils) and bioethanol (made from sugar and starch crops). Research is under way to commercialize “second-generation” production techniques that can make biofuels from woody material, grasses, and some additional types of waste. Biofuels have a unique role to play in European energy policy. They are today the only direct substitute for oil in transport that is available on a significant scale. This paper that was originally presented at the 7th International Scientific Conference on Engineering for Rural Development in May of 2008 in Jelgava, Latvia. It provides a short overview of the strategies and action plans in production and use of biofuels in Europe and Latvia. Then, existing solutions in the improvement of biofuel logistic systems are analyzed as well as ExtendSim as a tool for the modeling of biofuel supply chains. ![]() |
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Videos
OSILI - Demonstrating the contractual performance of the FDM performance of the LGV SEA.
The OSILI model developed in ExtendSim, studies the design and operational issues of the TGV between Tours and Bordeaux, to determine whether the high-speed trains meet reliability, availability, and regularity criteria.
OSILI represents the whole of the LGV SEA line. It allows the simulation of incidents on the line to better understand an incident's impact and calculate the ensuing delays. Simulation provides precise results, making it possible to replay incidents and better evaluate arbitration rules.
Building a Discrete Event Model of an Airport Security Checkpoint
Learn to build a discrete event model in just 4 minutes! Use ExtendSim to simulate an airport security checkpoint. See how any change made to the security process can effect passengers going through the checkpoint.
https://www.youtube.com/watch?v=vI3euTtgqO0&index=4&list=PLIPRYF_RJe7sqrrTraiLF1S51oQmUfJGs
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