วารสารวิชาการเทคโนโลยีอุตสาหกรรม (J. Ind. Tech.) อยู่ในฐานข้อมูล TCI กลุ่ม 1 มีค่า JIF = 0.094 | The Journal of Industrial Technology (J. Ind. Tech.) is indexed in TCI group 1 with impact factor, JTIF 0.094

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Cost Management Using ABC in the Wood Products Industry

This research aimed to present the application of cost management system in the wood products industry. The case study is applied Activity-Based Costing (ABC) with a product of wooden stairs group, in order to determine the cost of production per unit which guided to cost reduction approach and compared with traditional costing methods. The production costs comprised of direct costs and indirect costs, including overhead costs. The factory had no appropriate cost allocation used for overhead cost because the traditional costing systems did not comply with actual production quantities and production times. This research then applied the ABC costing system and proposed applicable cost drivers with production activities to allocate overhead production costs. The proposed cost system was calculated using Microsoft excel. This work started from production costs and activities classification. The cost collection and cost evaluation systems were designed. Then, the activity value was analyzed and the cost drivers were determined for appropriated cost allocation criteria. After the costs of activities are calculated, the cost per unit of product calculation from the ABC cost system was compared to the traditional system. The new model of costs is more precise. As a result, the cost was reduced by 5.98%. The results also reflect non-value-added activities. This is important for executives to improve production efficiency and to manage production costs.

Arbitration in Administrative Construction Contract

The purpose of this research is to study administrative law, the practice of arbitration under the Arbitration Act B.E. 2545, foreign arbitration laws and the problems of arbitration in administrative construction contract of Thailand in comparison with foreign countries, namely Germany, France, England and the United States. This research emphasized on studying construction contract cases in which a party is a government agency and the private sector based on author experience in order to provide solution and recommendation for the development, improvement or amendment of Thailand administrative law related arbitration process. The research found that the main factors that make government still have to face problems arising from dispute resolution by arbitration and the dispute is proposed to administrative court causing consumption of time and financial expense is the lack of substantive and procedural laws for specifying the compulsory details in preparation of an arbitration agreement in administrative construction contact that is not yet comprehensive and still inadequacy. The comparison of foreign laws found that some countries have established rules for preparation of arbitration contract in addition to general principles included specification of subject matters of dispute that can be resolved by arbitration and maximum amount of money for which the arbitrator can order the parties to pay when the decision is made. Therefore, the study proposes to establish a new law for administrative construction contact with such criterions included.

Factors for Success for Online Business Entrepreneurs in the Digital Age

The objectives of this research were to: 1) study the success of online business entrepreneurs in the digital age; and 2) examine factors contributing to the success of online business entrepreneurs in the digital age. This research employed quantitative and qualitative research methodologies. In the quantitative research, the sample consisted of 260 online business entrepreneurs, obtained via multi-stage sampling. The sample size was determined based on 20 times the observed variables. Data were collected with the use of a questionnaire and analyzed with a structural equation model. For the qualitative research, in-depth interviews were conducted with 15 key informants including online business entrepreneurs and academic persons in the field of marketing. These informants were selected by purposive sampling. Data were analyzed with content analysis. The research findings showed that: 1) the success of the online business entrepreneurs was rated at a high level; 2) the characteristics of entrepreneurs, information technology, business strategies, and management innovation, all contributed to the success of online business entrepreneurs in the digital age with .05 level of statistical significance. Moreover, the findings also revealed an important point that entrepreneurs in the digital age needed to examine the needs of customers and respond to such needs promptly so that a marketing opportunity could be gained quickly. This could be done with the use of technologies in the digital age. Additionally, online entrepreneurs also needed to adjust their marketing strategies according to the market situations to ensure that they are competitive. They also needed to apply management innovation in the adjustment of business strategies to increase sales and expand their markets. These would align the business according to customer needs, leading to customer satisfaction, word of mouth communication among customers, repeat consumption, and brand loyalty. These findings can be used as guidelines for the development of success of online business entrepreneurs in the digital age by enhancing their potential in terms of marketing competitive advantage, creating and improving trading networks, and applying innovations and modern technologies in the development of their online businesses.

Synthesis of Geopolymer From Water Treatment Residue and Palm Oil Fuel Ash

This research aimed at synthesizing the geopolymer of water treatment residue and palm oil fuel ash using proper suitable SiO2/Al2O3 ratios by varying the results of compressive strength test and also to examine the quality and microstructure of solidified waste cubes after the maximum of 60 days curing. In the test, the microstructure analysis techniques of XRF XRD SEM were employed. The findings revealed that the proper ratios of SiO2/Al2O3 in synthesizing geopolymer at 2.50 could develop geopolymerization reaction. (In SiO2/Al2O3 test were 1.77, 2.00, 2.50 and 3.00) It was also found that the synthetic geopolymer with optimum compressive strength at 40.56 Ksc. In employing the microstructure analysis technique of XRD and SEM, the changes inside geopolymer structure both before and after the mixing were found. The results can indicate the developing of geopolymerization reaction and synthetic geopolymer products inside the structure of Aluminosilicate source regarding the internal changes as follows; it was found that the peak of Quartz, Potassium Aluminum Silicate (KAlSi2O6), and X-rays diffraction had been superseded by the structure solid of Sodium Aluminum Silicate Hydrate (Na96Al96Si96O384.216H2O; NASH). It was also found Silicon, Aluminum, and Sodium at the same bonding position structure of NASH. As a result, the synthesis of the geopolymer of water treatment residue and palm oil fuel ash can developing strength and changing inside geopolymer structure by appear geopolymer product. Both starting materials can be synthesized and applied in environmental filed.

A System for Cooking Recipe Sharing and Cooking Recipe Finding by an Image of Ingredients using Deep Learning Technique

Nowadays, healthy eating is very popular. People start to cook their own food from existing cooking ingredients. However, sometimes they do not know what food can be cooked from existing ingredients. Therefore, they cook the same food, resulting in monotonous eating and not enjoy cooking. This research article presents the design and development of a system for cooking recipe sharing and cooking recipe finding by an image of ingredients using deep learning techniques. Users can use the application on mobile devices to share cooking recipes. Moreover, users can take a picture of ingredients that users already have in the kitchen such as garlic, pork, vegetables, etc. and send that picture into the system to search for cooking recipes from existing ingredients. This process will make users convenient for searching cooking recipes. The main components of the system include (1) A mobile application for general users developed with React Native, which users can add cooking recipes and search for cooking recipes by entering the ingredient names. Also, the user can use the mobile device to take a picture of ingredients to find cooking recipes, (2) Web application developed on the MERN stack for system administrators, which system administrators can add keywords of the search term for ingredients and test the model that has been created, and (3) Deep convolutional neural network using the YOLO algorithm through the Darknet library for creating the image recognition model. The model has taught to be able to recognize 20 types of ingredients using 100 images of each type of ingredient. After training our model for 36,000 rounds, the model has an average loss of 0.0408 with the precision, recall and F1-score at 0.96, 0.98 and 0.97 respectively.
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