Abstract
Facing the fierce competition environment, the foundry industry has to build up an order fulfillment system that can meet the customer's need. This thesis purpose is to build up an order fulfillment system that matches the foundry industry characteristic. The mechanism includes customer demand forecast reservation and order netting. This research summarize current working model of demand forecast reservation and order netting for foundry industry first. Then propose an improvement two-phase order fulfillment mechanism. At phase-1 stage, because the foundry industry capacity expansion is not easy in short-term, the most challenge is how to allocate the capacity to each customer demand considering capacity constraint. And the consideration includes multi-plant capacity, customer’s preference allocation, production yield, production cost, and single mask constraint. This research will build up an improvement model to well manage demand forecast capacity reservation. At phase-2 stage, customer will place an order to consume the reserved capacity. But the placed order quantity may not equal to reserved capacity based on customer demand forecast. Currently actual practice is to use FIFO rule for the order promise and doesn’t consider customer importance. The improvement method is to promise order quantity equally based on the reserved capacity of each customer. And this research also study the issue that orders quantity is different from reserved capacity quantity and propose a management mechanism. Finally, by the actual foundry industry example to proof the mechanism is practicable.