https://www.runthemodel.com Sat, 31 Mar 2012 00:26:52 +0000 60 https://www.runthemodel.com/models/573/ Madagaskar checkers is a board game for one player. It is played on a board with 33 cells layed out as a cross. Initially 32 stones are placed in all cells except for the central one. You can move a stone into an empty cell over another stone, which is then deleted (diagonal moves are not permitted). The goal is to finish with one stone in the central cell. There are different strategies in this game, all based on smaller combinations of stones that can be reduced to one stone. This implementation features undo command and highlighting of the stones that can be moved. Other.../ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/571/ Модель пассажирских перевозок на одном маршруте предназначена для оценки пассажиропотоков при использовании определенного количества транспортных средств и расписания их движения. Модель пассажирских перевозок позволяет выбрать наилучшее (с точки зрения критерия максимизации валовой прибыли с маршрута) количество однотипных транспортных средств для использования их на маршруте в условиях конкуренции и рассчитать расписание их движения, обеспечивающее максимальное количество перевозимых пассажиров в день. Transportation & Logistics/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/570/ Существуют некоторые виды бактерий (Escherichia coli, Salmonella typhimurium и проч.), которые при движении в определенных условиях способны формировать структуры правильной геометрической формы. Биологи высказывают различные предположения о механизмах взаимодействия бактерий и факторах, приводящих к такому их поведению. Например, бактерии помещенные в центр чашки Петри формируют одну или несколько концентрических окружностей. Предложена многоагентная модель, позволившая подобрать правила и значения параметров взаимодействия агентов, при которых их поведение соответствует ожидаемому поведению бактерий в соотвествующих условиях. Other.../ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/568/ Model of a three echelon supply chain. Total costs and service level are calculated. If customer's demand exceeds retailer's stock the orders is canceled. Transportation costs depend on the disctance between objects. Simulation period is 1000 days. Supply Chains/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/567/ Transportation & Logistics/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/565/ The classic minesweeper game! But... with a couple of surprises! Enjoy! PS: try using the right button ;) Other.../ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/564/ Moose Jaw shop track Transportation & Logistics/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/563/ Moose Jaw shop tracks Transportation & Logistics/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/557/ Supply Chains/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/556/ Supply Chains/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/555/ Supply Chains/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/550/ Maze gardens have been known in history of important cities and buildings as a place to enjoy  the view and have fun in nature, as well as  making some excercise and socialize with other people.         This model represents this tradition with a simple maze garden, and several guests who travel from the lake to the house, through the maze. In order to do so, every pedestrian calculates the shortest path and goes through it. Have fun moving some red flower beds that block the best paths, making people recalculate their way home! This will delay people inside the maze, which will be reflected in the graph which shows people inside and outside the maze (if you are good on this, you'll be able to make clusters of disoriented pedestrians going through the maze!).         To represent the pedestrians' behaviour, we used the Pedestrian Library. This way we diagram a really simple model, and the pedestrians make the rest of the work!         We hope you enjoy the trip, and continue the tradition! NOTE: the model takes a while to start, be patient! Pedestrian Dynamics/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/533/ This model simulates the manufacturing and shipping process in a small jobshop. Raw material is delivered to the receiving dock, which is placed into storage until processing occurs at the CNC machine. Finished parts are palletized, and then moved to storage at the shipping dock, until the completed pallets can be loaded on a truck. The user can control certain model parameters, like process times and labor quantities, via the input boxes. A metrics page charts labor utilization, as well as operating costs as a function of the user's chosen operating scheme. Manufacturing/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/531/ A simplistic model of an Emergency Department designed primarily to demonstrate the usage of Network part of the Enterprise Library. A network of nodes and paths is defined on the basis of a given facility layout. There are three types of resources in ED: staff (nurses, PAs and technicians), static resources (triage rooms, express care rooms, X-ray room) and portable (ultra sound device). The process includes registration, triage, and either X-ray or U-sound examination. The resource utilization and patients’ length of stay statistics are collected. You can control the resource capacities on-the-fly and see their impact on utilization and LOS. Healthcare/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/528/ The Tour model wasn't enough! Therefore, in the Tour2 model you'll have much more things to do and to explore!     - Strategies: group and individual     - Profile: personal and group charasteristics     - Competitions: yellow, green and polka-dot jerseys     - Visual effects: easier to follow the race! Urban Traffic/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/525/ A model of an air defense system protecting a number of assets being attacked by aircrafts. The assets are located nearby the seashore and are protected by three radars. Bomber aircrafts are trying to destroy the assets. Each aircraft is assigned a particular asset when launched. Radar has a limited coverage zone and can concurrently control only a limited number of missiles. You can interactively control several parameters of the model, including the aircraft velocity, radar properties, etc.  This agent based model features continuous time behavior (differential equations) inside the agents. Military & Defence/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/520/ Just a little taste of what I taught my students in MGMT 590 at Purdue University in Spring 2012 ... Enjoy! :) Notes: a) to move canvas: right-click on mouse, hold, drag to desired position, release. b) to zoom in/out: hold ctrl while turning mouse's scrolling wheel. c) to accelerate/decelerate time: click on the little clock icons that say +/- on top-right corner next to " x [number] " Healthcare/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/517/     Имитационная модель экспериментального сборочного производства. Manufacturing/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/515/     Имитационная модель участка сборки трансмиссии трактора на крупном заводе. Имитация технологического процесса сборки.     В модели можно менять кол-во сборочных постов на которых производить головную сборку, кол-во слесарей сборщиков на сборке трансмиссии, кол-во постов на подсборку коробки передач.      Модель собирает статистику по загрузке ресурсов, кол-ву собираемых трансмиссий, загрузке сборочных постов. Manufacturing/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/514/ Имитационная модель логистического центра в городе Чебоксары. Склада не существует, модель визуализирует результаты расчета склада. Под здание склада планировалось использовать помещение цеха машиностроительного завода. Подъездные пути проектировались под это здание. Модель позволяет выбирать метод формирования заказов и заявок на выгрузку со склада. Условно они носят название "Технология 1" и "Технология 2". Также можно задавать размер заказа и нижний параметр "s". Модель собирает статистику загрузки основных ресурсов, кол-во обраба- тываемых заказов и статистику нахождения грузовых машин на погрузке и разгрузке. Transportation & Logistics/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/513/ The US-wide supply chain consists of part suppliers, producers, distributors and retailers. The stationary (s,S) inventory policy applies throughout the whole supply chain. You can change both the order point and the order up to level of any object. Suppliers, producers, and distributors maintain the shipping service with own vehicle fleet (the fleet size is yet another parameter you can change). Retailers and distributors keep and constantly update the quality of service (essentially, average delivery time over a certain period) of, respectively, distributors and producers. Once the QoS falls below the expected level, they start searching for alternative partners. The consumers are modeled as agents, each agent represents 2000 people (so there are about 150,000 consumer agents in the model). Consumers are distributed geographically over the US territory. Supply Chains/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/508/ In this simplistic model of a supply chain each producer makes some finished product from raw material supplied by another producer. The production (modeler as System Dynamics process) stops when amount of finished produt at the producer's warehouse reaches a certain threshold, and smilarly, raw material is ordered when its present amount (+ on order amount) falls lower than ordering threshold. A producer (and the end consumer as well) may choose between several alternative suppliers. The choice is made depending on the "supplier record" reflecting their past relathionships, the currently preferred supplier is shown by the bold link. Therefore the supply chain participants may be considered as agents with a certain level intelligence. Supply Chains/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/507/ The Beer Distribution Game (The Beer Game) is a simulation game created by a group of professors at MIT Sloan School of Management in early 1960s to demonstrate a number of key principles of supply chain management. The game is played by teams of at least four players, often in heated competition, and takes fr om one to one and a half hours to complete. A debriefing session of roughly equivalent length typically follows to review the results of each team and discuss the lessons involved. The purpose of the game is to meet customer demand for cases of beer through a multi-stage supply chain with minimal expenditure on back orders and inventory. Players can see each other's inventory but only one player sees actual customer demand. Verbal communication between players is against the rules so feelings of confusion and disappointment are common. Players look to one another within their supply chain frantically trying to figure out wh ere things are going wrong. Most of the players feel frustrated because they are not getting the results they want. Players wonder whether someone in their team did not understand the game or assume customer demand is following a very erratic pattern as backlogs mount and/or massive inventories accumulate. During the debriefing, it is explained that these feelings are common and that reactions based on these feelings within supply chains create the bullwhip effect. Supply Chains/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/501/ In this model we define the layout of a custom-made network using an adapted Kamada-Kawai algorithm. We then use an adaptation of the Dijsktra algorithm to find the optimal route between 2 network nodes, similar to the way routing is done on the Internet. This is done in an interactive fashion letting the user play in both stages. IT & Telecom/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/500/ Expands the Widgets model to include a backlog of unfilled orders. See section 18.1.7. This AnyLogic model is based on materials from the book "Business Dynamics: Systems Thinking and Modeling for a Complex World" by John Sterman, (c) 2000 McGraw Hill. Manufacturing/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/499/ A model of a manufacturing firm representing the supply line of production.  Represents finished goods and work in process inventories, and the decision rules used to manage them in the face of unpredictable orders. See section 18.1. This AnyLogic model is based on materials from the book "Business Dynamics: Systems Thinking and Modeling for a Complex World" by John Sterman, (c) 2000 McGraw Hill. Manufacturing/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/496/ Expands the Widgets model with material inventories and order backlogs to represent two partners in a supply chain, one representing an OEM and one representing the supplier to the OEM.  The delivery delay for the supplier is potentially variable, and the OEM responds by varying the desired supply line of materials on order.  See section 18.2. This AnyLogic model is based on materials from the book "Business Dynamics: Systems Thinking and Modeling for a Complex World" by John Sterman, (c) 2000 McGraw Hill. Transportation & Logistics/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/495/ The TREND function developed in chapter 16.  Models the formation of growth expectations from the past history of an input time series. This AnyLogic model is based on materials from the book "Business Dynamics: Systems Thinking and Modeling for a Complex World" by John Sterman, (c) 2000 McGraw Hill. Other.../ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/494/ The stock management structure for controlling a stock in the presence of losses or usage and an acquisition delay for new units.  In this variant, the desired supply line is based on the expected loss rate.  See section 17.3. This AnyLogic model is based on materials from the book "Business Dynamics: Systems Thinking and Modeling for a Complex World" by John Sterman, (c) 2000 McGraw Hill. Asset Management/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/493/ The stock management structure for controlling a stock in the presence of losses or usage and an acquisition delay for new units. In this variant, the desired supply line is based on the desired acquisition rate.  See section 17.3. This AnyLogic model is based on materials from the book "Business Dynamics: Systems Thinking and Modeling for a Complex World" by John Sterman, (c) 2000 McGraw Hill. Asset Management/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/492/ The stock management structure for the first-order case in which there is no supply line of unfilled orders.  See section 17.2.1. This AnyLogic model is based on materials from the book "Business Dynamics: Systems Thinking and Modeling for a Complex World" by John Sterman, (c) 2000 McGraw Hill. Asset Management/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/491/ The SIR epidemic model configured to illustrate the concept of the tipping point.  See section 9.2.5. This AnyLogic model is based on materials from the book "Business Dynamics: Systems Thinking and Modeling for a Complex World" by John Sterman, (c) 2000 McGraw Hill. Healthcare/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/490/ The SIR (Susceptible-Infectious-Removed) model of infectious disease.  See section 9.2.2. This AnyLogic model is based on materials from the book "Business Dynamics: Systems Thinking and Modeling for a Complex World" by John Sterman, (c) 2000 McGraw Hill. Healthcare/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/489/ The SI (Susceptible-Infectious) model of infectious disease.  See section 9.2.1. This AnyLogic model is based on materials from the book "Business Dynamics: Systems Thinking and Modeling for a Complex World" by John Sterman, (c) 2000 McGraw Hill. Healthcare/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/488/ The SI epidemic model applied to innovation diffusion.  See section 9.3. This AnyLogic model is based on materials from the book "Business Dynamics: Systems Thinking and Modeling for a Complex World" by John Sterman, (c) 2000 McGraw Hill. Asset Management/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/487/ The Richards population growth model.  See section 9.1.3. This AnyLogic model is based on materials from the book "Business Dynamics: Systems Thinking and Modeling for a Complex World" by John Sterman, (c) 2000 McGraw Hill. Social Dynamics/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/486/ The price setting subsystem for the commodity model.  Represents how market makers set prices through consideration of the demand/supply balance and expectations about the underlying value (expected equilibrium price) of the commodity.  See section 20.2.6. This AnyLogic model is based on materials from the book "Business Dynamics: Systems Thinking and Modeling for a Complex World" by John Sterman, (c) 2000 McGraw Hill. Marketplace & Competition/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/485/ Applies the hill-climbing structure to model the process of price discovery in a market where the market makers do not know the demand and supply curves of market participants.  Provides a basic model of disequilibrium price adjustment.  See section 13.2.12. This AnyLogic model is based on materials from the book "Business Dynamics: Systems Thinking and Modeling for a Complex World" by John Sterman, (c) 2000 McGraw Hill. Marketplace & Competition/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/484/ A simple model of a population growing in an environment with a given carrying capacity.  The carrying capacity can be constant or consumed by the population; nonrenewable or renewable.  With different parameters, the model can generate the most important modes of behavior observed in dynamic systems and discussed in chapter 4, including exponential growth, exponential decay, S-shaped growth, S-shaped growth with overshoot and oscillation, and overshoot and collapse. This AnyLogic model is based on materials from the book "Business Dynamics: Systems Thinking and Modeling for a Complex World" by John Sterman, (c) 2000 McGraw Hill. Social Dynamics/ Sat, 31 Mar 2012 00:26:52 +0000 https://www.runthemodel.com/models/483/ The classic Polya urn model in which the probability of adding a stone of a given color to a bag of stones equals the proportion of stones of that color already in the bag.  Illustrates path dependence.  See section 10.2. This AnyLogic model is based on materials from the book "Business Dynamics: Systems Thinking and Modeling for a Complex World" by John Sterman, (c) 2000 McGraw Hill. Other.../ Sat, 31 Mar 2012 00:26:52 +0000