Oracle SNO allows the estimation of the total economic effect of dozens of investment projects through benchmarking and the selection of the most profitable and cost effective initiatives. Through analyzing the company’s supply chain models (suppliers, warehouses, shops and production processes, transportation options and ultimate demand from buyers, as well as related costs), Oracle SNO prepares optimal production, procurement and supply schedules that will minimize costs and maximize profit for the company. Oracle SNO supports strategy with a strict mathematical model.
Oracle SNO is successfully applied in various industries: the automotive industry, machine engineering, oil chemicals and chemical production, metallurgy, consumer goods (food and beverage, clothes, cleaning products, etc.), pharmaceuticals, wholesale trade, etc.
Typical business situations modeled by Oracle SNO:
- Optimal allocation of production orders between several production sites
- Organization of international supply chain, based on the tax and customs regimes of various countries
- Seasonal demand, changing vendor opportunities, increase in production output, etc.
- Decision-making on the production or purchase of semi-finished or finished goods
- Assess the effect of investment projects’ implementation, e.g. construction/purchase of new plants, stock structure optimization, launch/decommissioning of production lines, development and launch of new deposits, etc.
- Assess the impact of exchange rate fluctuations on the supply chain
- Analysis of the company’s financial performance based on forecasts for changes in salary amounts, decision-making on changing salaries
- Selection of optimal vendor, based on prices, transportation costs, delivery terms (size of batch, quality standards, time of delivery)
- Estimates of tactical (from several months to one year) production schedules, supplies of finished products, semi-finished goods, raw materials, and the purchase of stock