Title :
An Order Fulfillment Model With Periodic Review Mechanism in Semiconductor Foundry Plants
Author :
Chi Chiang ; Hui-Lan Hsu
Author_Institution :
Dept. of Manage. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
In today´s globalization competition, manufacturing firms are using an order fulfillment system to give available-to-promise (ATP) capacity efficiently. An ordinary order fulfillment system will plan capacity based on forecasts and assign ATP quotas to incoming orders. Its basic idea is to enhance capacity utilization and avoid poor customer service. However, in the semiconductor industry, demand is highly volatile, and a make-to-order (MTO) manufacturer often runs the risk of cancelled committed demands. In this research, we propose an integrated order fulfillment model for a MTO semiconductor foundry fab to maximize corporate profit. Specifically, we suggest a periodic allocation review mechanism to reallocate unused ATP quotas. We examine the model performance based on different data sets. Results showed that capacity utilization and profitability are improved substantially with the periodic review mechanism, especially when demand forecast is not reliable.
Keywords :
customer services; demand forecasting; order processing; profitability; semiconductor device manufacture; semiconductor industry; ATP capacity; ATP quotas; MTO manufacturer; MTO semiconductor foundry fab; available-to-promise capacity; cancelled committed demand; capacity utilization; corporate profit; customer service; demand forecast; globalization competition; make-to-order manufacturer; manufacturing firm; order fulfillment model; ordinary order fulfillment system; periodic allocation review mechanism; periodic review mechanism; plan capacity; profitability; semiconductor foundry plants; semiconductor industry; Capacity planning; Foundries; Linear programming; Management information systems; Production management; Resource management; Available-to-promise; linear programming; management information systems; order fulfillment; production management;
Journal_Title :
Semiconductor Manufacturing, IEEE Transactions on
DOI :
10.1109/TSM.2014.2342493