การตรวจหาเครื่องจักรที่ผลิตสินค้าบกพร่องเพื่อวางแผนป้องกันและบำรุงรักษาโดยใช้ตัวแบบฮิดเดนมาร์คอฟ: กรณีศึกษาโรงงานผลิตเครื่องดื่ม

This research proposes a hidden Markov model for detecting machines with multiple fillers producing soft drink for quality control in order to reduce defective products. The proposed model is compared with a classical generalized estimating equations model (GEE). The monthly data the number of defective products the correctness and the time spending in correction were collected from a machine in a sample factory in Pratumthanee province. The two hidden states of the fillers are workable and unworkable. The states has a logistic distribution. The results show that the correctness of the filler error occurrence does not improve the probability of being in a unworkable state neither the period of time spending on correction. The current state seems to be the same as the previous state