Abstract:
The objective of this research was to propose the procedure in planning under uncertainty in a wood furniture plant. We studied all factor uncertainty factors and propose a statistical for reduce consideration unnecessary factors. Studies of event uncertainty within the. Employee absenteeism. Mechanical disruption. And the uncertainty is external. Preempt and add context to the production of client. For the improvements in the planning under uncertainty, we consider factors by record distribution data and characteristics impact with efficiency of the production plan. In this thesis, we selected fractional factorials design for analyze impacts with ANOVA. We can reduce unnecessary factors does not significant with effective production planning. When we selected necessary factor yet We used emergency plan under uncertainty. In experiments, the production plan is the performance of the average decreased 30.7% and the efficiency of delivering up 8.12% at closing of up 9.07%, which in practice may be a problem in the deployment