Design of Risk Management System in Make-to-order type Manufacturer

Jae Young Park

This thesis is aimed to study the requirement of the make-to-order type manufacturer which wants to manage risks effectively when it needs to make decisions under risk. First, we present a method for choosing the risk factors that should be controlled for the make-to-order type manufacturer. Then, those factors have been verified using statistical methods such as 6-sigma technique. The process flows to be operated with the selected factors and the rules for the early warning system have been proposed. For a couple of factors, the prototype system has been developed to illustrate the real application. Applications of the technique developed here to other types of manufacturers might be an interesting research problem. It is finally decision-maker's individual ability whether do good decision-making or do bad decision-making.