This research aims to study a model of marketing strategic towards generationmillennials customers’ buying decision using food delivery application and to present model of marketing strategic towards generationmillennials customers’ buying decision using food delivery application. The mixed methods approaches of quantitative and qualitative research methods were used. In qualitative research method using in-depth interviews with 11 respondents and quantitative research in which questionnaire was used as an instrument to collect data from 400 populations of generation millennials customer living in Bangkok who order foods through food delivery application. Statistics for data analysis included frequency percentage average standard deviation exploratory factor analysis (EFA) The results indicated that most of the respondents were women with a bachelorsdegree who had a career as private company employees and an average monthly income of 18000 – 25000 bahts use Grab application the most use less than once week there are a total of 2 orders per order choose order the most street food average 100 - 350 Baht cost per time order food in the evening (17.01-22.00 p.m.) order food to eat at accommodation most order food to eat with friends reason for ordering a delivery is that it is comfortable from out going by self choose to pay by cash and consumers think that all of the factors are important in deciding to order food from restaurants through the Delivery Application application at high level. Results analysis of factors affecting generation millennials customers’ decision making to order from food delivery application be classified into eight factor as 1) easy to user experience strategy 2) goods value and price strategy 3) physical evidence and presentation strategy 4) strategies for brand awareness 5) accuracy and complete strategy 6) restaurants management system strategy 7) sales promotion strategy 8) new product development strategy.

The purpose of research is to study the carbon footprint evaluation of products for thread turned Tungsten Carbide 16ER60 of production. To assess amount of greenhouse gas emissions that affect the environment. The key component in the calculation include raw material production material energy and waste January 2018 and March 2019. The scope of the study is the assessment of Business-to-Business (B2B). From the assessment of the carbon footprint it was total of greenhouse gas was about 1.1559 Kg CO2e which was divided from raw material about 0.0118 Kg CO2e and production process about 1.1441 Kg CO2e. From the improvement reducing electricity of sintering furnaces machine and lighting system was reduce greenhouse gas emissions about 0.3249 Kg CO2e or decrease percent 71.88 CT

This research developed a new model to determine the moisture diffusion coefficient for the thin-layer paddy drying with the spouted free-fall bed dryer. The design and construction of the dryer was done to experiment with the drying kinetics. The experiment has studied under conditions of hot air temperature of 60-150 °C the initial paddy mass of 5 - 15 kg and hot air velocity of 19 m/s. The results showed that the higher hot air temperature and the lower initial paddy mass resulted in a significant reduction in drying time. The experimental results were used to calibrate 12 of the most popular thin-layer drying models to find a suitable one considering based on the root mean square error (RMSE) chi-squared value (χ2) and the correlation coefficient (r). It was found that the popular thin layer drying model was able to accurately predict the effect of the moisture ratio considering both the influence of hot air temperature and the initial paddy mass in linear models. The highest accuracy was RMSE = 0.0279 χ2 = 0.00084 and r = 0.9938. In addition the experimental results have been used to synthesize the new diffusion moisture coefficient which is a function of initial paddy mass temperature and drying time. This developed model was based on an exponential function with only 7 model constants. The simulated results observed that the new model achieved the average error only 1.8 percent compared with the best model that uses up to 24 model constants.

A simple flow injection analytical system for an automatic determination of phosphate in water samples using the molybdenum blue method was developed. Samples were injected and mixed with ascorbic acid used as a reducing agent. The absorbance of the resulting molybdenum blue complex was measured at 880 nm by a spectrophotometer. The optimal conditions of this system were 2 mL/min of carrier flow rate 1000 μL of sample volume 60 centimeters of mixing tube length and 0.020 mol/L of ascorbic acid. The proposed method showed reliability high sensitivity spend small amount of reagents and samples and fast sample throughput (52 samples/hour). The limit of detection (LOD) was 0.015 mg P/L of phosphate. Precision obtained injecting a phosphate standard solution of 0.50 mg P/L (n=10) was 1.81%. This system can be applied to determination of phosphate content in surface water samples in Lopburi province by comparing with a standard method. It was found that obtained from the developed system agreed well with the standard method using the pair t-test (tstat 0.04 < tcrit 2.36). This flow injection analysis system has no effect from arsenate and silicate interference for the analysis of natural water samples.

The objectives of this research were to construct a jar oven for the production of roasted chicken using heat from far-infrared radiation and to find the amount of electricity and specific energy consumption used in the production of roasted chicken. The physical properties in terms of color softness cooking yield and water holding capacity of roasted chicken were also investigated. By using far-infrared radiation at electrical power levels of 1000 1200 and 1400 watts to roast marinated chicken which had an initial mass of about 1650 grams until the mass of the roasted chicken had a lower than 1220 grams. From the experimental results it was found that the production of roasted chicken at far- infrared radiation with a high electrical power level requires significantly less electricity and specific energy consumption than that with low electrical power level (P≤0.05). Roasted chicken breasts with far-infrared radiation at 1400 watts had significantly higher lightness (L value) but lower redness (a value) and yellowness (b value) than those of 1000 watts (P≤0.05). However lightness (L value) yellowness (b value) and redness (a value) of the roasted chicken breast with far-infrared radiation at 1200 watts were not significantly different from those at 1000 and 1400 watts (P>0.05). The shear force and water holding capacity of roasted chicken were significantly increased when the electrical power levels of far-infrared radiation increased (P≤0.05). Moreover the electrical power levels of far-infrared radiation (1000 1200 and 1400 watts) did not significantly affect the cooking yield of roasted chicken (P>0.05).Sponso