A company needed to optimize its long-term Sales & Operations Planning process. Combining AnyLogic simulation and SAP integration with ITE Consulting expertise, it developed a strategic production plan, tested demand and supply planning scenarios, and saved $4 million by optimizing inventory levels.
SimWell helped RPM eco optimize a recycling supply chain and maximize material weight collected by trucks with the use of AnyLogic as reverse logistics software. They developed an end-to-end solution using predictive analytics in logistics, which resulted in a decrease in zero pickups and an increase in the average weight of each pickup.
Kernel is the world-leading manufacturer and exporter of sunflower oil and provider of agricultural products from the Black Sea basin across world markets. The company owns 550,000 hectares of land and more than 40 grain elevators, with a total storage volume of up to 2.8 million tons. One of the company's regular challenges is the planning, harvesting, and transportation of agro-products.
Cementos Argos is a cement producer in Colombia. Argos intended to optimize scheduling in order to avoid rotation delays or demurrage and use 100% capacity of each vessel. This case study shows how simulation modeling helped to accomplish supply planning up to 84% and vessel capacity utilization up to 99%.
One of the largest resource companies in the world, with over $80 billion in sales, decided to enter a new market. It was planning to build a new potash mine and export 90% of production. They wanted to design a reliable supply chain, with high-speed replenishment, and the ability to recover, or even benefit, from disasters, both natural and man-made. Amalgama and Goldratt were contracted to design the potash mining operations and a full supply chain for outbound logistics.
A global FMCG manufacturing leader optimized its food product inventory management while ensuring maximum service level and minimizing product quality deterioration. For this task, consultants from ITC Infotech built a simulation-based model of the FMCG company’s multi-echelon distribution network to find interdependencies between product quality deterioration, fill rates, and the shelf-life factor that helps inventory planning. As a result, the business would be able to decide how much product should be manufactured and make informed decisions.
Distributors, such as retailers, are the intermediaries between producers of products and other entities in the distribution supply chain. They often encounter problems with supply chain configurations and fleet setups. To analyse and optimize this interaction for one of the largest book distributors, engineers from Goldratt Research Labs used simulation and vehicle routing optimization. This case study will provide an overview as to how this was performed.
A public electricity company in France needed to optimize routes to ensure that all orders were delivered by electric trucks on time. They decided to develop a delivery route optimization model using simulation software, visualize the logistics network, and collect statistics. To reflect the real system, the team had to consider trucks’ battery capacity, chargers’ electric power, and many other constraints.
The UK Wastewater industry is valued at £8.7 billion and employs 42,000 people. Every day it deals with over 16 billion tons of wastewater, transforming bio-resources into useful by-products like energy. Presently, deregulation and competition are increasing in the wastewater sector, creating opportunities for supply chain innovations at different points of water treatment. Utility companies are now competing against each other to manage bio-resources, making the configuration of wastewater supply chains, and the efficiency of their logistics networks a massively profitable industry.
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.