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Artificial Glaciers and AnyLogic Fight Against Climate Change


Artificial Glaciers and AnyLogic Fight Against Climate Change

Ladakh region, located in the north of India. It is unique by its climate where Arctic and desert conditions meet, and temperatures range from -35 °C in winter to 35 °C in summer. In the remote mountain parts of the land, agriculture is the core of the economy. Local farmers have been using water from glaciers for farming for centuries. Today, the global climate change has put the agriculture in danger: due to the global warming, the glaciers provide not enough water for irrigation during the most critical spring months. In January 2014, students and teachers from the local SECMOL school campus started working on the project called Ice Stupa. These are artificial glaciers named after traditional Buddhist stupas of Tibet because if the visual resemblance.

Provider Payment Reform to Reduce Rates of Cesarean Delivery


Provider Payment Reform to Reduce Rates of Cesarean Delivery

“Cesarean delivery” is a method of childbirth in which a surgeon cuts through the pregnant woman’s abdomen and uterus to deliver the baby. The more natural method of childbirth is called “vaginal delivery”, in which the baby leaves the mother’s uterus through her vaginal canal. Ideally, cesarean delivery would only be used when vaginal delivery would endanger the life or health of the child or mother, because cesarean delivery involves major abdominal surgery that is accompanied by much greater risks for both mother and child than vaginal delivery. Cesarean delivery also costs about 50 percent more. Over the last 40 years, the U.S. rate of cesarean delivery has increased dramatically.

Simulating Rail Network Operation Challenges with and without the Rail Library


Simulating Rail Network Operation Challenges with and without the Rail Library

While the extensive rail library was a key reason that CSX chose AnyLogic as its general purpose simulation tool for the Network Modeling, Operations Research, and Process Excellence groups, the other libraries and methods have added significant value as well. In fact, the first major project where AnyLogic was used did not utilize the rail library. After reviewing the problem in more detail, a discrete-event simulation model was built to help managers studying train throughput. The model simulated the demand of empty trains from five coal mines, as well as the fulfillment of the demand. A supply-chain-like network model was created, which implemented logic to depict the demand, supply and staging of empty trains. The trains were modeled as moving entities across the network. By varying values of relevant parameters, users can infer the impacts of different factors to the train throughput (i.e. siding staging capacity and loading speeds at the coal mines). The model provides a way for decision makers to gain insight into the system to help identify the maximum possible throughput. The objective was to identify the best operational/capital strategy to handle the increased business.

Analysis of Management Strategies for Aircraft Production Ramp-up


Analysis of Management Strategies for Aircraft Production Ramp-up

Growing competition and a high demand for individual and highly sophisticated products in combination with shorter innovation cycles is leading to a rising number of ramp-ups especially in Small batch production. Daily challenges such as late changes and missing maturity of high Technology products and processes create significant risks. Since 2012 a group of 14 European companies and research institutes have developed novel planning and control solutions in the European public funded project ARUM (Adaptive Production Management; www.arum-project.eu) to overcome those challenges in production ramp-up. The validation of the developed control strategies and their implementation into novel planning and scheduling solutions within a realistic industrial environment is mandatory and several industrial use Cases have been selected, e.g. an Airbus system installation flowline in Hamburg.

Shaping Healthcare Policy Using Simulation


Shaping Healthcare Policy Using Simulation

An initiative of the Department of Mechanical and Industrial Engineering at the University of Toronto, the Centre for Research in Healthcare Engineering (CRHE) is a response to the immediate and compelling desire for efficiency and quality improvements in the Canadian health care system. CRHE is committed to both research and education in the field of healthcare delivery. From an academic perspective, their work falls into two categories: research and service. A study completed by the Commenwealth Fund Commision (http://www.commonwealthfund.org/) ranked Canada very low in the categories of quality of health care, access to health care, efficiency, equity and expenditures. This study among others, prompted the CRHE to dedicate a research project that would test potential changes in Canadian healthcare policy that could increase the quality of patient care.

Webinar: Delivery Fleet Optimization with GIS


Webinar: Delivery Fleet Optimization with GIS

Join us for the“Delivery Fleet Optimization with GIS” webinar May 28th at 12noon CST for a step-by-step process of building a supply chain model with real-time GIS features and optimization capabilities. Webinar Objectives: - Build a regional supply network - Integrate real-time GIS technology - Optimize the delivery fleet assets - Enrich the simulation by integrating additional data sources Webinar attendees will receive the model source code, all necessary associated files and how-to-build written instructions.

AnyLogic 7.1 Demo Featuring GIS


AnyLogic 7.1 Demo Featuring GIS

Tom Baggio, Sr. Solutions Architect at AnyLogic North America guides you through model building demonstrations that showcase some of our newest features, including the innovative GIS capabilities. The implementation of GIS gives you access to all data stored along with online-based map providers (i.e. Open Street Map): cities, regions, road networks, objects (hospitals, schools, bus stops, etc.). Video demonstration segments include building a route between two cities with trucks moving along the map, looking for a destination based on the shortest route, regional perspective of GIS capabilities, a supply chain demo, and an overview of general user improvements.

AnyLogic Conference 2014: Video Presentations


AnyLogic Conference 2014: Video Presentations

On November 12th and 13th, 2014, AnyLogic supporters gathered in San Francisco, CA for the annual AnyLogic Conference, a two-day event geared toward innovative projects, business solutions, and networking with experts in the field of simulation modeling. A sincere thank you goes out to the AnyLogic Community that has proven once again to have a passion and forward thinking motivation to solve various complex challenges all over the globe with AnyLogic software. The goal of the AnyLogic Conference program is to provide attendees with a wide variety of industry presentations which encourage a cooperative and educational environment. The 2014 presentations are available now on AnyLogic's YouTube Channel, and include the presenter's slide deck for ease of viewing. Enjoy the presentations and make sure to join us next year for the AnyLogic Conference 2015, November 4th and 5th in Philadelphia, Pennsylvania immediately following INFORMS Annual Meeting.

Customer-Centric Transportation Network Modeling


Customer-Centric Transportation Network Modeling

The sphere of public transportation services in Australia is undergoing a transformation in response to a number of drivers, such as a need for inter-modal integration and widespread introduction of consumer information technologies. However, in order to better address new challenges associated with these changes one must first develop an understanding of the dynamic relationships between the way public transportation system operates and the many ways in which people use it to achieve desired mobility. The public transportation company employed PwC to develop a solution for better decision-making and problem-solving. A model was built using AnyLogic 7 as a platform to unify and animate various static data into a dynamic system of interactions. The model is based on three sources of information: network structure provided in GIS format, service timetable in tabular form and ticket sales information gathered from a variety of systems.

Case Study: Major US Airline decides NOT to Charge Additional Fees


Case Study: Major US Airline decides NOT to Charge Additional Fees

A major U.S. airline was facing a situation where opportunities to extend the existing strategy were limited, coupled with an increasing cost structure due to competition, commodity prices, and acquisition integration activities. The airline began to explore several options to generate new profits through ancillary products or changes to existing policies and was under intense pressure from board members, Wall Street and various analysts to do so. PwC, the world’s second largest professional services network, was employed by the Airline to model the predicted impact of the client’s ticket market share and company brand sentiment after introducing new products or policy changes.