จำนวน Repository ( 17 )
ผลิตภัณฑ์น้ำชะครามพร้อมดื่ม
The purpose of the research entitled Product Development: suaeda maritima RTD was to study the appropriate amount of water and brown sugar used in the production process’ and the change during storage It was found that the product using1:10.05 of boiled (excess water squeezed out) suaeda maritima leaves to water (w/w) and 5% of brown sugar to the juice weight was accepted most in all aspects: appearance color flavor taste texture(mouth feel) overall preference; the mean scores were 7.46 7.53 7.73 7.63 7.55 and 7.68 respectively. This indicated that the product was very much and most accepted. The lightness (L*) the greenness (a*) and the yellowness (b*) were at 18.34 -9.95 and 19.51. The soluble solid Brix was 6.60; and the pH-alkalinity (pH) was 6.91. The product was best kept at 7 ºc for not longer then 7 days when there was still no physical or chemical change. All the microorganisms found did not exceed the Ministry of Public Health standard 2013. One hundred grams of the product contained 24.00 kcal 5.79 g carbohydrate 0.22 g protein 0.80 g fiber 8.40 g calcium 0.20 g iron and 14.00 mg iodine 84.00 sodium μg 1056.04 μg beta-carotene 360.00 μg phenolic compound of Alice and 1160.00 μg chlorophyll. The consumers’ test result indicated that most consumers accepted the product at the moderate level; and 94% of them were interested in buying at 20 baht per 180 ml glass bottle of the product
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