Academic Journal of Industrial Technology Innovation https://ph03.tci-thaijo.org/index.php/AJITI <p><strong>ISSN:</strong> 2822-1125 (Print)</p> <p><strong>ISSN:</strong> 3027-8090 (Online)</p> <p>Academic Journal of Industrial Technology Innovation is an academic journal in the field of science and technology. To be a medium for disseminating academic works Research results of personnel, theses, dissertations of students, faculty, personnel, academics, as well as those interested both internally and externally. It focuses on publishing academic articles on industrial technology innovation and research results obtained from systematic and orderly research Knowledge can be transferred by preparing academic articles or research articles that are of high quality and meet standards suitable for publication of academic work. This is an indicator that indicates the strength of a higher education institution or educational agency significantly.</p> <p>The article will go through an initial evaluation process to determine the quality and scope of the content. Accuracy of article preparation format, redundancy, and plagiarism (Duplication and Plagiarism) by the journal's editorial team. The article will then be evaluated for academic quality by no less than 3 experts in the relevant field. The author (Author) and the evaluator (Reviewer) will not know each other's information. (Double-Blinded Peer Reviews). Articles that have been improved according to the evaluation results will be considered and approved for publication. Final step The editorial team reviews articles and proofreads them before publishing them online and publish all articles together in a book for further dissemination. In addition, research results and academic works published in the journal It is the independent opinion of the author. The author is responsible for any legal consequences that may arise from the published article. Which the editorial team and the journal's production team, You don't always have to agree.</p> <p><strong>Types of work published in journals</strong></p> <ol> <li> <strong> Research articles/Original articles</strong> are articles that the author has compiled from his or her own research, which is the result of research on a particular subject, such as social science research articles. Including various fields of study that are related and will be beneficial to various professions.</li> <li> <strong> Academic articles</strong> are an article in which the writer aims to present only one subject. Obtained from researching various printed documents and filtering them. Compiled by the author. </li> <li> <strong> Critical articles/review articles</strong> are an article in which the author analyzes, synthesizes, critiques, and criticizes a particular topic/issue in order to present new ideas or new knowledge.</li> </ol> <p> </p> <p><strong>Conditions for submitting articles for publication in the journal</strong> </p> <ol> <li>The manuscript is a matter that has never been published or is awaiting publication in other journals. </li> <li>All manuscripts must be evaluated or approved by experts. To check the content (Peer review) if there are suggestions for improvement. The editorial team will submit issues for publication that have received recommendations for improvement or additions to the original owner (author). The original owner must return the revised manuscript to the editorial team within 2 weeks. The editorial team will accept the publication. Only when the original has been completely edited by the original owner. </li> <li>Authors must submit their manuscripts to the journal editors no more than 40 days before the publication of each issue. In order for the matter to be published to be published, it will undergo a diagnostic process and consider publishing in the next journal. </li> <li>Manuscript submitted for consideration for publication must meet requirements Instructions for publishing manuscripts 5. Topics considered for publication The author can download it from the website of the Faculty of Industrial Technology. Nakhon Si Thammarat Rajabhat University</li> </ol> <p><strong>Branches that accept articles </strong></p> <p>Academic Journal of Industrial Technology Innovation is a journal covering the fields of science and technology. The article contains content related to fields of industrial technology innovation, such as industrial technology, engineering applied, science industrial, studies technical, vocational education, industrial arts, architecture, design, and other fields related to industrial technology. Presented in the form of a research article. Academic articles. Critical article/Review article.</p> <p><strong>Publication language:</strong> Thai/English</p> <p><strong>Publication schedule:</strong> Published 3 issues per year, every year, as follows.</p> <p><strong>Issue 1</strong> between January–April.</p> <p><strong>Issue 2</strong> between May–August.</p> <p><strong>Issue 3</strong> between September–December.</p> <p><strong>Article publishing fee:</strong> There is no fee for publishing articles No. 1-12 and a fee is collected from Issue 13 onwards, 3,000 baht per article for personnel/students. Under the jurisdiction of Nakhon Si Thammarat Rajabhat University and 4,000 baht for the public.</p> en-US <p>Articles published in this journal are copyrighted by the Faculty of Industrial Technology. Nakhon Si Thammarat Rajabhat University</p> <p>In addition, research results and academic works published in the journal It is the independent opinion of the author. The author is responsible for any legal consequences that may arise from the published article. The editorial team and the journal's production team, we don't always have to agree.</p> technstru.editorjournal@gmail.com (Assistant Professor Dr.Apisan Siripan, ผู้ช่วยศาสตราจารย์ ดร.อภิศันย์ ศิริพันธ์) technstru.editorjournal@gmail.com (Ms. Gewalin Kueasuk, คุณเกวลิน เกื้อสุข) Tue, 20 Aug 2024 04:14:32 +0700 OJS 3.3.0.8 http://blogs.law.harvard.edu/tech/rss 60 A Comparison of Moving Average and Simple Exponential Smoothing Methods for Predicting Engine Oil Change Demand in Trucks: A Case Study in Songkhla Province https://ph03.tci-thaijo.org/index.php/AJITI/article/view/3133 <p>The objective of this research is to predict the demand for engine oil changes in large trucks using monthly data from a case study service center between 2019 and 2021. This study focuses on comparing the performance of various prediction methods to determine the most suitable approach for forecasting future service demands. The prediction methods employed in this research comprise two main approaches: Moving Average (MA) with 3 and 5-month periods, and Exponential Smoothing with alpha (α) values of 0.1 and 0.5. Each method was applied to the same dataset to generate predictions, followed by a performance evaluation. To assess prediction accuracy, three criteria were utilized: Mean Absolute Percentage Error (MAPE), Mean Absolute Error (MAE), and Mean Squared Error (MSE). The results demonstrate that the Exponential Smoothing method with an alpha value of 0.5 yields the most accurate predictions based on MAE, MSE, and MAPE, indicating its superior ability to predict values closely aligned with actual figures. This method is recommended for planning engine oil demand in large trucks at the case study company.</p> Rapatporn Phuchittrasin, Assistant Professor Tanarat Rattanakool, Assistant professor Kantamon Sukkrajang, assistant professor Dr.chatchai kaewdee, Dr.Weeraphol Pansrinual, Assistant professor Dr.Weerayute Sudsomboon Copyright (c) 2024 Faculty of Industrial Technology Nakhon Si Thammarat Rajabhat University https://creativecommons.org/licenses/by-nc-nd/4.0 https://ph03.tci-thaijo.org/index.php/AJITI/article/view/3133 Tue, 20 Aug 2024 00:00:00 +0700 Location Selection Using the Analytic Hierarchy Process: A case study of private vehicle inspection centers, Mueang, Songkhla https://ph03.tci-thaijo.org/index.php/AJITI/article/view/3138 <p>This study employed the Analytic Hierarchy Process (AHP) to examine the location selection process for private vehicle inspection centers (PVICs). The research aims to (1) identify factors influencing location selection, (2) assess the relative importance of these factors, and (3) evaluate decision consistency. Data were collected through interviews with executives or decision-makers from seven PVICs in Mueang District, Songkhla Province, Thailand. An interview instrument was developed based on a comprehensive literature review of location selection research. The findings reveal four primary factors affecting the PVIC location selection, ranked in descending order of importance: facilities, customer base, raw material sources, and business premises details. Within these categories, land price, reduction of raw material transportation costs, product sales, and transportation convenience emerged as the most critical sub-factors, respectively. The analysis confirms decision consistency across all factors, with the Consistency Ratio (CR) below 0.10.</p> Assistant professor Kantamon Sukkrajang, assistant professor Tanarat Rattanakool Copyright (c) 2024 Faculty of Industrial Technology Nakhon Si Thammarat Rajabhat University https://creativecommons.org/licenses/by-nc-nd/4.0 https://ph03.tci-thaijo.org/index.php/AJITI/article/view/3138 Tue, 20 Aug 2024 00:00:00 +0700 A Stepwise Multiple Regression Analysis of Factors Influencing the Decision to Choose Freight Companies' Services https://ph03.tci-thaijo.org/index.php/AJITI/article/view/3141 <p>A stepwise multiple regression analysis was conducted to examine the factors influencing consumers' decisions in choosing freight forwarding companies. The objectives were to investigate the relationships between marketing strategy factors and consumers' decisions in choosing freight forwarding companies in Songkhla province, Thailand; and to develop a predictive equation using stepwise multiple regression analysis. Data were collected from 404 consumers who used freight forwarding services in Songkhla province. Pearson's correlation coefficient was used to determine the relationship between marketing strategies and other factors influencing the decision to use freight forwarding services. Stepwise multiple regression analysis was employed to create a predictive equation. The study found that the overall level of marketing strategy in influencing the decision to use freight forwarding services was moderate ( = 3.345). The correlation coefficient analysis revealed a statistically significant positive relationship at the .01 level between marketing strategies and other factors influencing the decision to use freight forwarding companies. The location factor and the product service factor were identified as significant predictors of marketing strategy in the decision to use freight forwarding services.</p> Chananan Sukkrajang, Assistant professor Kantamon Sukkrajang, Assistant professor Tanarat Rattanakool Copyright (c) 2024 Faculty of Industrial Technology Nakhon Si Thammarat Rajabhat University https://creativecommons.org/licenses/by-nc-nd/4.0 https://ph03.tci-thaijo.org/index.php/AJITI/article/view/3141 Tue, 20 Aug 2024 00:00:00 +0700 Activated Carbon from Cassava Rhizomes to Design Odor Absorbing Products https://ph03.tci-thaijo.org/index.php/AJITI/article/view/3149 <p>Objective of this research is to: 1) utilize agricultural waste, specifically cassava rhizome types in the eastern region, 2) study the production process of activated carbon with suitable material properties, and 3) create value-added odor-absorbing products through three different design processes. The research methodology is qualitative, involving laboratory research and development, data analysis, summarization, product prototype testing, and production. The research findings are as follows: 1) Cassava rhizome types, a form of agricultural waste, have potential for value-added applications. 2) The activated carbon production process consists of two steps: charcoal preparation and subsequent stimulation to create micropores. Chemical stimulation is the most effective method, resulting in activated carbon with high porosity and strong odor-absorption capabilities. 3) Odor-absorbing products were developed: car air fresheners containing 60 % activated carbon powder and 40 % plaster, molded into a cactus shape (50x50x80 mm); kitchen deodorizers containing 70 % activated carbon powder and 30 % plaster, molded into a hexagonal shape (150x125x40 mm); and deodorizing soap containing 20 % activated carbon powder and 80 % glycerin soap base, molded into a square shape (50x50x20 mm).</p> Associate Professor Dr.Kriangsak Khiaomang Copyright (c) 2024 Faculty of Industrial Technology Nakhon Si Thammarat Rajabhat University https://creativecommons.org/licenses/by-nc-nd/4.0 https://ph03.tci-thaijo.org/index.php/AJITI/article/view/3149 Tue, 20 Aug 2024 00:00:00 +0700 A Study of Corrosion-Erosion Behavior of Low and High Carbon Steels in Acid and Sand Environments Using Taguchi's Experimental Design https://ph03.tci-thaijo.org/index.php/AJITI/article/view/3135 <p>This research aims to investigate and compare the corrosion-erosion behavior of low carbon steel (AISI 1018) and high carbon steel (AISI 1060) under different environmental conditions. A Taguchi experimental design was employed to efficiently evaluate the effects of rotational speed (1,800, 3,600, and 5,400 RPM) and three environmental conditions: distilled water with sand, sulfuric acid solution at pH 4, and sulfuric acid solution at pH 4 with sand on weight loss. An L9 orthogonal array and a rotating cylinder electrode (RCE) setup were utilized for the experiments. Both steel types exhibited good corrosion-erosion resistance, particularly in the sulfuric acid solution at pH 4 without sand. Signal-to-noise ratio (S/N) analysis indicated slightly better performance for high carbon steel (S/N = 53.9) compared to low carbon steel (S/N = 52.4). These findings can be applied to select suitable materials for applications demanding resistance to diverse environments, especially those with high acidity. The application of Taguchi methodology facilitated efficient experimental planning and analysis, enabling informed material selection.</p> Assistant Professor Tanarat Rattanakool, Assistant professor Kantamon Sukkrajang, Assistant professor Dr.chatchai kaewdee, Dr.Weeraphol Pansrinual, Assistant professor Dr.Weerayute Sudsomboon Copyright (c) 2024 Faculty of Industrial Technology Nakhon Si Thammarat Rajabhat University https://creativecommons.org/licenses/by-nc-nd/4.0 https://ph03.tci-thaijo.org/index.php/AJITI/article/view/3135 Tue, 20 Aug 2024 00:00:00 +0700