Case Studies

  • Maximizing Push Boat Fleet’s Net Voyage Revenue
    InterBarge, a first-class waterway operator, affiliated with SCF Marine, a part of Seacor Holding Group, operates freight along the HPP Waterway (Hidrovia Parana Paraguay, located in Argentina, Paraguay, Brazil, and Uruguay) on a dedicated contract carriage. The company’s challenge was to use the boat capacity free from dedicated contract commitment as a fleet, maximizing net voyage revenue.
  • Modeling and Optimization of Oil Production Using AnyLogic Fluid Library
    Canada is the third largest country to have oil reserves. However, most of the oil is in oil sand – the mixture of sand, oil, and water – which has to be heated up with steam to emit the oil. It is costly to maintain such a distribution system, and outages may lead to disruptions in steam injection and oil production. Stream Systems company applied AnyLogic simulation modeling to optimize expenditures and capture production lags
  • Modeling of Banca d'Italia Back Office System
    Banca d'Italia processes a certain amount of manual credit transfers every year. These transfers cannot be processed automatically and require two divisions of employees in the back office of the bank. The bank wanted to determine if merging these two divisions would be beneficial.
  • Optimization of Utility Companies’ Mutual Assistance Using Agent-Based Modeling
    When people are impacted by a natural or man-made disaster, utility companies look for ways to provide resources as soon as possible, and reduce outage time. To assist and better coordinate with each other, Canadian companies from closely located territories created alignments for mutual assistance. Engineers from York University applied simulation modeling to provide the utility companies with a better decision making tool for managing the mutual assistance process.
  • Optimizing Energy Systems with AnyLogic Simulation Modeling
    European Institute for Energy Research (EIFER) is an organization that deals with the decentralization of energy systems on various territories, and promotes renewable energy sources. Unlike classical energy systems, localized ones are less hierarchical, thus providing the prospects of power storage, renewable energy inclusions, and demand forecasting. EIFER engineers chose AnyLogic simulation modeling to find out how the localized systems should be planned and operated.
  • Outpatient Appointment Scheduling Using Discrete Event Simulation Modeling
    Indiana University Health Arnett Hospital, consisting of a full-service acute care hospital and a multispecialty clinic, faced poor statistics because the number of no-show patients (those who don’t show up for their scheduled appointments) rose dramatically to 30%. This was primarily connected to the fact that clinic schedules were driven by individual preferences of the medical staff, which led to increased variations in scheduling rules. To eliminate the problem, the client wanted to develop a scheduling methodology that would benefit the clinic, doctors, and patients.
  • Preventing “Bus Bunching” with Smart Phone Application Implementation
    In public transport, bus bunching refers to a group of two or more transit vehicles (such as buses or trains), which were scheduled to be evenly spaced running along the same route, instead running in the same location at the same time. Dave Sprogis, Volunteer Software Developer, and Data Analyst in Watertown, MA, used AnyLogic to confirm his thesis that preventing "Bus Bunching" would improve the experience of public transit bus riders.
  • Production Planning in Marine Industry
    The managers of one of the most important Italian yacht manufacturers needed a new, intelligent approach that would make the planning process simpler. The objective was to give the real production planner exceptionally rich planning information, which would allow the person to test and refine a plan before its implementation.
  • Rail Yard Capacity Modeling
    Aurizon is an Australia’s largest rail freight operator, managing more than 700 locomotives and more than 16,000 wagons. Aurizon is widely engaged in coal, iron ore, and mineral transportation. In order to increase operational efficiency the company decided to move one of their rail yards to other town. This rail yard was mainly engaged in wagon and locomotive maintenance and locomotive preparation.
  • Selecting the Best Inventory Policy Using Gojii
    Existing supply chain and S&OP tool sets do a great job of managing supply to meet a selected "forecast." However, there is no single "correct forecast" of future demand, and existing tools are not designed to select the best demand level for the business. There is a "tool gap" between forecast inputs and selection of the best demand signal (aka "forecast") to drive your S&OP system. Gojii is the tool created by DecisioTech that fills that gap.