Bus bunching is a problem faced by transport authorities around the world. SimWell Inc., an industrial engineering company supporting business decisions with simulation, used simulation modeling for transportation system analysis to figure out the best solution to solve the bus bunching problem for RTC, the public transit agency for Quebec City, Canada.
Semiconductor demand is unstable, highly dependent on innovation cycles, and due to its volatility, the semiconductor supply chain is prone to the bullwhip effect. These challenges were compounded by supply chain shortages and the COVID crisis. This case study shows how supply chain engineers at Infineon optimized their supply chain and mitigated the bullwhip effect using simulation modeling.
STAM is a multidisciplinary engineering company based in Italy that provides high-tech custom solutions to meet its client’s business challenges. Its engineers created a simulation model of metro station crowd behavior for the purpose of analyzing different attack scenarios.
Phoenix Analytics is a Turkish consulting company and provider of simulation solutions for various industries. They were involved in developing a warehouse optimization project for one of the biggest ice-cream and frozen desserts manufacturers in Europe and Asia.
A manufacturing performance evaluation tool for optimizing flexible manufacturing system design and operation. Case study of how MCM worked with Engineering Group to capture systems expertise for a powerful manufacturing performance evaluation tool.
Vale, a Brazilian multinational corporation engaged in metals and mining, wanted to maximize the productivity of its open-pit coal mines in Moatize, Mozambique. To test different scenarios without disrupting the operations, the company opted for simulation modeling and contracted with Genoa, a decision support company specializing in optimization and simulation.
For a delivery network processing 15 billion parcels annually, simulation modeling provided significant saving across key metrics in a package easily accessible to all stakeholders. Find out how in this case study and presentation from Pitney Bowes.
The Agent-based Turbine Operations & Maintenance (ATOM) model is a digital twin simulation model developed by decisionLab Ltd and Siemens. The digital twin emulates the global maintenance repair and overhaul (MRO) operations of Siemens’ aero-derivative gas turbine division. Driven by live data already available within the supply chain, the model provides the capability to use sophisticated simulation and data-analytics methodologies to optimize the fleet operations of Siemens, enabling better data-driven decision-making to improve productivity and efficiency in customer operations and asset management.
Microsoft is one of the largest tech companies in the world, with sales revenue of over 90 billion US dollars. The company has over 30,000 products with a large variation in life cycles, more than 13 contract manufacturers, and 12 distribution centers. Many of its sales come from selling physical devices, and this exposes the company to an accompanying level of complexity and uncertainty. In 2015, Goldratt Research Labs was contracted by Microsoft to design, validate, pilot, and implement an end-to-end Supply Chain Management solution based on Theory of Constraints best practices.
CNH Industrial is a global leader in capital goods. It is financially controlled by the Italian investment company Exor and is comprised of 12 brands, including Case, New Holland, and Iveco. Through its brands, CNHi designs, produces, and sells a wide range of agricultural, industrial, and commercial vehicles and powertrains. CNH Industrial identified maintenance processes as a promising area to start applying new Industry 4.0 technologies. In the automotive and related industries, downtime costs can be large. As such, improving maintenance in order to reduce downtime can deliver significant success.