Daltransugol coal terminal, located in the deep-water Muchka Bay, is the most important transshipment point on the way to the Asia-Pacific region. In order to increase its capacity to 40 million tons, Dilibrium conducted an in-depth analysis of all processes involved at the terminal using AnyLogic simulation.
NLMK Manage Steel Center is a strip steel service center in Manage, Belgium. MSC planned to implement a set of modernization activities to increase throughput by 1.5x at their facility. This case study shows how simulation modeling helped MSC to select optimal configurations for the facility and improve their productivity.
Accenture’s Applied Intelligence HSA team delivered an Order to Delivery (OTD) forecasting system for a US-based exercise equipment brand that was affected by COVID-19 related supply chain disruptions. The forecasting system, based on a supply chain digital twin, increased OTD forecasting accuracy by 57% and reduced costs by 20%. Read on and see how they tackled the project.
Today, many steel manufacturers are in need of lean manufacturing tools that will improve their return on investment and service levels. The minimum 80% reliability level most steel companies are struggling to achieve is nowhere near what today’s customers and investors want to deal with. One of the largest and oldest European steel manufacturers came across these problems and was desperately trying to solve them. The company called upon the assistance of Goldratt Research Labs.
The Sterling Simulation consulting company was hired by a pharmaceutical giant to create a supply chain model. The client was introducing one of their products to new markets and wanted to visualize the restructuring of the supply chain and how it would react to demand uncertainty. The company’s goal was to reduce lead time while maintaining fill rate and avoiding backorders or lost sales. The client wanted a flexible ‘what if’ tool for risk mitigation analysis.
The supply chain management at Infineon, a huge semiconductor manufacturer, wanted to investigate the bullwhip effect in their market in order to decrease expenses and better forecast market behavior. They used AnyLogic software to build a model of a supply chain – from raw materials to the market.
Diageo is a British multinational alcoholic beverages company. Diageo Russia is one of Russia’s top five wholesale alcoholic beverage distributors, which is traditionally a low margin business where the bottom line is sensitive to the customer service level and high logistics costs. Diageo sought assistance from the consulting company Amalgama, LLC when they experienced an increase in sales volume, but failed to realize larger profits due to logistics costs per unit.
GHD Analytics is evaluating the feasibility of green hydrogen production factory project from both the engineering and financial sides. For that, they apply green hydrogen supply chain simulation. This helps them link engineering design scenarios directly to business values, capture the complexity and risks, visualize processes, as well as account for the projects’ economics.
Eldorado Company, a huge electronics retailer in Russia, with stores in 350 cities, needed to determine the optimal number of warehouses, and where they should be situated, in order to better fulfill customer demand and minimize delivery and storage expenses. The analysis showed that the problem could be solved with introduction of the anyLogistix supply chain optimization system. Input data provided by the customer described potential warehousing points: rent cost, investments for building new or modernizing old warehouses, average level and cost of storage, overall costs for staffing and...
Ozon is one of the largest online retailers in Eastern Europe, with overall sales around $5 billion in 2019. The company is growing year by year by expanding delivery zones, launching new services, etc. Therefore, the company needs to optimize its infrastructure continuously. To maintain a high service level and deliver goods on time, it was necessary to set up a new distribution network and minimize the distance from DC’s to final destinations at the same time.