Abstract
The authors describe a decision support system developed to solve a practical attended home services problem faced by Iren Group, an Italian multiutility company operating in the distribution of electricity, gas, and water. The company operates in several regions across Italy and aims to optimize the dispatching of technicians to customer locations where they perform installations, closures, or maintenance activities within time slots chosen by the customers.
Highlights
Product managers are facing increasing pressure to manufacture high-quality products at low cost
Inventory levels that are too low may lead to inventory shortage resulting from seasonal supply disruptions that delay the supply of raw materials
We develop a new method for obtaining the optimal season-based inventory levels for raw materials, such as iron ore and coal
Summary
Product managers are facing increasing pressure to manufacture high-quality products at low cost. In the steelmaking industry, determining optimal inventory levels is crucial. Excess inventory slows down cash flow, whereas depleted inventory leads to unstable operation and drives up costs. Determining optimal inventory levels is a critical management issue in the steel industry. The raw materials are transported to nine steel mills. When a ship arrives at a mill, the raw materials are unloaded by machines, transported by belt conveyors to stockyards according to type, reclaimed when needed, and mixed variously to maintain constant quality before being fed into the blast furnace
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