Journal of Logistics and Supply Chain Operations (JLSCO)

A Forecast of Goods Demand to be Ordered and Stored at Optimal Levels for the Operating Results of Otto Kingglass Company Limited

Lalita Pansrikaew — 2025-04-04

The objectives of this research were 1) to study forecasting of the demand for goods to order and store at the appropriate level and 2) to study the forecast of product demand for ordering and storage at the appropriate level that directly positively affects the performance of the company using mixed research. The sample consisted of 132 employees in the Warehouse and Purchasing Department of Otto King Glass Company. The tool for action research uses an economic ordering model (EOQ) analysis to calculate the optimal order quantity. The quantitative research tools use questionnaires. The data was analyzed using EOQ formulas, descriptive statistics, and multiple regression analysis The findings of this research showed that 1) EOQ analysis resulted in an optimal inventory level of 924,296 pieces/year; a reduction in storage costs of 23%/year; a reduction in the opportunity cost of out-of-stock 9,800 pieces/month; and warehouse space. The size of 689.83 square meters, which from this result helps to reduce the amount of inventory at an appropriate level to 149,587 pieces/year, or 13.45%, can reduce the cost of storage to 13%/year. In addition, it can reduce the opportunity cost of out-of-stock to 14,461 pieces/year, or 59.16 percent, and can increase the storage space in the warehouse to 108.5 square meters. 2) Forecasting the demand for products using EOQ has a direct positive effect on the reduction of storage costs. Moreover, product classification and sorting have a direct positive effect on reducing shortage opportunity costs, and inventory reporting and meetings have a direct positive effect on warehouses with more storage space. Therefore, companies should adopt EOQ as well as categorize and sort products. In addition, inventories are reported and meetings are held every month.

Sustainable Temperature-Controlled Transportation System by Multi Temp Truck, DHL Distribution (Thailand) Company Limited

Sornsin Parunawin — 2025-04-04

This research aims to 1) study the sustainable temperature-controlled transportation system using multi-temp trucks of DHL Distribution (Thailand) Limited, 2) compare the conventional and new temperature-controlled transportation systems using multi-temp trucks, and 3) study transportation efficiency and provide recommendations for decision-making. Using qualitative research, the key informants were 82 people. Data were analyzed using content analysis and compared using data analysis tables. The findings found that 1) the temperature-controlled transportation system using multi-temp trucks can better control the temperature inside the container due to the increased thickness of the container compared to conventional temperature-controlled trucks by 6 millimeters, which helps stabilize the temperature and increases stability throughout the transportation route. Additionally, larger containers allow for increased cargo capacity by 4 pallets/trip or 312 pallets/month, reducing fuel consumption due to the use of solar panel chains to accelerate the temperature inside the cargo container, reducing carbon dioxide emissions by 85,000 kilograms. 2) Multi-temp truck transportation found that relying too much on the truck's refrigeration unit leads to excessive energy consumption. When the truck's engine in the refrigerated container stops, non-continuous refrigeration units lose power, resulting in increased internal temperatures due to significant loss of cool air or the refrigeration unit failing to dissipate heat if the engine fails, leading to easy damage to goods. Additionally, labor costs for truck drivers increased from 54,000 to 74,000 baht, necessitating a reduction in safety costs from 200 to 100 baht/day and eliminating overtime pay for 2 forces to reduce costs. 3) It is recommended to switch to using multi-temp trucks, which use electricity for both propulsion and refrigeration in the controlled temperature container, to reduce fuel consumption, as using electricity is more beneficial in the long run.

Digital Transformation for Supply Chain Management and Collaboration to Enhance Business Performance of Rubber Entrepreneurs in Southern Thailand

Phitchayapha Primpray — 2025-04-04

The purpose of this research was to study the factors of digital transformation, supply chain management, supply chain collaboration and business performance of rubber entrepreneurs, and the direct and indirect effects of digital transformation, supply chain management, supply chain collaboration on business performance of rubber entrepreneurs. The population was 215 middle-class rubber business entrepreneurs in the southern region of Thailand. The data was collected from 430 executives, managers, and supervisors, derived from simple random sampling by using questionnaires. The data were analyzed using a structural equation model. The results revealed that digital transformation, supply chain management and supply chain collaboration had a positive direct effect on business performance. In addition, digital transformation had a positive indirect effect on business performance with the mediation effects of supply chain management and supply chain collaboration. The results can be applied in practice by studying modern digital technology to be used in operations and real-time data exchange as well as choosing tools at reasonable prices and techniques that is consistent with the work of the organization. There is a security system and privacy, create a network of collaboration with both customers and partners to support the digital workflow. Digital infrastructure and exchange of resources are integrated, starting from the top executives must have a clear vision and strategy, have communication with employees, training and promoting participatory learning and working in order to create modern ideas and develop jointly for a sustainable digital transformation of work processes.

The Management of Elderly Housing in Thailand through Smart Logistics Strategy

Paadsapid Jantachote — 2025-04-04

This research aims to (1) analyze the average level of practice for the management of elderly housing in Thailand using smart logistics strategies, (2) examine the influence of the SLAPRP model, which includes management systems with smart logistics strategies, people management, internal place and room management, and performance outcomes, and (3) create diagrams to present short-term, medium-term, and long-term plans for the management of elderly housing in Thailand using smart logistics strategies. The research method is mixed, targeting individuals in 743 licensed elderly housing establishments in Thailand. The sample for the questionnaire included 1,080 individuals, and there were 18 in-depth interviews. The research tools were quality-checked and analyzed using structural equation modeling and path analysis for quantitative data, and content analysis for qualitative data. The research found that: 1) The average level of practices for managing elderly housing in Thailand with smart logistics strategies showed that people management had an average score of 3.83 (rank 1), the smart logistics management system had 3.82 (rank 2), and internal place and room management had 3.78 (rank 3), indicating high levels of practice (2) The influence of the SLAPRP model on performance outcomes was directly affected by people management, internal place and room management, and the smart logistics management system, with direct influence sizes of 0.63, 0.69, and 0.79, respectively, and (3) The short-term plan (1 year) is to start with people management. The medium-term plan (2-3 years) is to develop the smart logistics management system and internal place and room management. The long-term plan (4-5 years) is to measure performance outcomes. Thus, elderly housing establishments in Thailand can begin to become "smart" following these plans.

Vehicle Route Planning Using Saving Algorithm with Excel Solver Program Case Study Kosit Honey Farm

Sarun Chaiyangpanich — 2025-04-04

The objective of this research is to study and propose improvements to the honey transportation route due to the current challenges face with the rising fuel prices as a result, it costs more fuel and the slow distribution of goods. Currently, businesses can only receive goods until 5:00 PM, causing delays in transporting goods over long distances, especially considering the increasing fuel costs. That researcher suggests adjusting the distribution method by dividing it into geographical subgroups and using the Saving Algorithm to organize the delivery schedule. The data is arranging in a matrix table, and Microsoft Excel Solver is use to find the most efficient route by obtaining coordinates from Google Maps. The goal is to maximize the distance cover while minimizing cost. The study considers 25 customers divided into groups based on they ordering frequency. The stores can receive goods until 5:00 PM. Using heuristic theory, the subgroups are designate as Br1, Br2, Cr1, Cr2, and Cr3. The research findings indicate that the original transportation route cover a total distance of 2,885.1 kilometers. After implementing the propose improvements, the total distance reduce to 2,583.9 kilometers, resulting in a decrease of 301.2 kilometers or 10.4%. This led to a fuel cost reduction from 9,186 baht to 8,537 baht, which is 7 percent of the original transportation cost. The goods can be deliveries before 5:00 PM. The total original transportation time was 3,591 minutes. After running the Solver program, the transportation time was reducing to 3,389 minutes, resulting in a decrease of 202 minutes or 5.6 percent.

The Development Model of Aircraft Maintenance Industry in Thailand

Amnat Si-kurt — 2025-04-04

This research aimed to 1) study the components of aircraft maintenance industry development in Thailand, 2) develop a model for the development of the aircraft maintenance industry in Thailand, and 3) create a manual for the development of aircraft maintenance industry in Thailand. Mixed methodology and Delphi technique are used in this research. The research targets were (1) 17 experts for in-depth interviews and Delphi questionnaires, (2) 16 experts to provide opinions and consensus on the model through focus group discussions and (3) 30 experts for evaluation the implementation of the manual through public hearings. The research tools were semi-structured interviews and questionnaires. Data analyzed with descriptive statistics were median and interquartile range. The results revealed that 1) the components for the development of aircraft maintenance industry in Thailand consisted of 2 main components, namely the industrial environment and organizational management component. 2) The model has 2 dimensions and 10 components namely, an organizational development consisted of 6 components as follows: (1) strategies development (2) joint investment (3) knowledge & technology integration (4) enhancing of workforce competencies (5) regulatory & standard improvement and (6) development of network and organizational management consisted of 4 components as follows: (1) planning) (2) organizing (3) leading and (4) controlling. 3) In the provision of the manual, it was found that the manual was evaluated for its suitability for use in the development of the organization and the aircraft maintenance industry of Thailand at the highest level. Therefore, research findings can be used to develop organizations in the aircraft maintenance industry to increase business efficiency and competitiveness.

An Improvement of Supply Chain Efficiency of Fattened Beef Cattle Community Enterprise of Pa Hung Sub-district, Phan District, Chaing Rai Province

Pitthinan Somchaiwong — 2025-04-04

The objectives of this research were 1) to analyze the supply chain and study the standard of beef cattle farming, 2) to create a prototype manual and evaluated the efficiency of logistics management in increasing the efficiency of beef cattle farming, a community enterprise in Pa Hung Sub-district, Phan District, Chiang Rai Province, and 3) to improve the efficiency of the supply chain. Supply of Fattening Beef Cattle of Pa Hung Sub-District Community Enterprise, Phan District, Chiang Rai Province. It is qualitative research. Key informants were community enterprise members of the Beef Cattle Raising Development Group by Artificial Insemination in Pa Hung Sub-district, Phan District, Chiang Rai Province, totaling 17 members. Only 9 cases were selected using case study research. The research tool was a structured interview. Test the quality of the tools by checking for language and content suitability. Collected by in-depth interviews. The data were analyzed by using the data obtained from the interviews to find conclusions on each issue along with the use of descriptive statistics. The results showed that 1) supply chain analysis and breeding standards for fattening beef cattle were raised that were close to the standards of the Department of Livestock Development in four aspects: housing and equipment management; People Management health management and management of food-water and medicine from a total of 7 issues, 2) an analysis of the prototype manual for measurement of logistics management potential. Mean sum of all boundaries before assessment. had a score value of 1.67 and after assessment had a score value of 2.92, an increase of 74.85%. In this regard, a guideline for improving the efficiency of fattening beef cattle farming has been proposed to the community enterprise group by developing knowledge. Understanding and the use of technology to help support farming as well as promoting the integration of farmers, buyers, and stakeholders in order to enhance the efficiency of fattening beef cattle raising to meet the required standards and quality.

Path Analysis Model of Heavy-Duty Vehicle Safety for Road Environment Improvement and Accidents Prevention

Nattawut Pumpugsri — 2025-04-04

The 2018 WHO report shows that Thailand has the highest road fatalities and injuries in Asia. This study uses 400 DBQ samples and near-miss data from ADAS and DMS in 246 heavy-duty vehicles to analyze risky driving behaviors from May to July 2022.The research aims to understand the causes of accidents by presenting a safety measurement model in logistics. Each dimension includes the indicators derived from the consensus of the experts, whose backgrounds are in logistics and safety from public and private entities, under the Delphi method. While the methods to evaluate opinions vary upon researchers, without a fixed procedure, the most widely used method is the Delphi method. With the Kendall's W of 0.402 and p-value less than 1, the study has found that there are four dimensions with 15 factors and 55 indicators explaining the topic. The four dimensions: driver behaviors; unsafe road environments; vehicles; and near-miss events, were tested for their correlations among the variables that relate to road accidents with path analysis, a statistical tool to analyze correlations among variables. The result shows that the improvement in unsafe road conditions and driver behaviors is critical to reduce the road accidents in Thailand. Therefore, the path and correlation analysis enhance the understanding on the correlations of each factor. Moreover, the reliability test has found that the absolute fit indices, including the CMIN/DF of 1.26, RMSEA of 0.026, GFI of 0.97, AGFI of 0.95 and RMR of 0.024, are in satisfactory level as well as the incremental fit indices with the NFI of 0.98, CFI of 0.99, TLI of 0.98 and IFI of 0.99. Therefore, the study on the drivers’ behaviors unsafe road environments, vehicles and near-miss events in this research, together with the proposed model, enable responsible authorities to promote road safety by improving environments and driver behaviors as well as planning the strategy to reduce accidents nationwide.

Factor Analysis of Service Recipients' Confidence in Safety to Order Food Online Under the Situation of the COVID-19 Pandemic

Woraanong Thotongkam — 2025-04-04

This research aims to study the variables of service recipients' confidence in the safety of online food ordering under the situation of the COVID-19 epidemic and to determine indicators and analyze the components of the confidence of the service recipients on the safety of online food ordering under the situation of the COVID-19 pandemic. The population used in this study was people in Nakhon Ratchasima who had used online food ordering services and the sample group was obtained using purposive sampling. Questionnaires were used for collecting data 400 people samples. The finding showed that there were 4 factors for the service recipients' confidence in the safety of ordering food online under the situation of the COVID-19 pandemic: 1) service provider management system, 2) food delivery staff management, 3) COVID-19 awareness, and 4) COVID-19 prevention practices when considering each item, it was found that “the companies regularly inspect the conditions and cleanliness of their vehicles” had the highest factor loading value of 0.850, followed by “You believe that COVID-19 disease is a contagious disease that is extremely dangerous and even fatal” had a factor loading value of 0.836. “You clean the food storage box or food delivery containers every time food is delivered” had a factor loading value of 0.824 and “The staff wear masks every time they work”. had a factor loading value of 0.813. The results of this study could be used as a guideline for improving services to create safety for both service users and service providers and the proper practices of those involved in the restaurant business and service personnel under the situation of COVID-19 epidemic.

Efficiency Enhancement of Hospital Business Management with Smart Digital Strategies

Manannat Phochanajun — 2025-04-04

The research aims to 1) study the relationship between smart management, smart technology, and efficiency enhancement, and 2) study the overall influence of the model “Efficiency Enhancement of Service Business Management with Smart Digital Strategies”. We are using quantitative research. The population is employees in the service business of large hospitals in the Bangkok area, 5 locations, totaling 7,350 people. The sample size is 400 people. The research instrument used a quality-checked questionnaire before being used to collect data. Data analyzed were using Chi-square (c²) statistics, Pearson correlation, and structural equation modeling (SEM). The finding found that 1) The top three most positively correlated pairs are: (1) Speed (FE) and Customer relationship management systems (CT), (2) Customer relationship management systems (CT) and Operational support system (OT), and (3) Customer relationship management systems (CT) and Decision support system (DT). And 2) The overall influence of the model “Efficiency Enhancement of Service Business Management with Smart Digital Strategies” has a strong positive influence, because the influence number is higher than 0.6, where Smart technology (ST) influence level on Efficiency enhancement (SM) was equal to 0.62. The variable with the highest value was Operation (OM) equal to 0.91 and Satisfaction (TE) equal to 0.77. While Smart technology (ST) influence level on Efficiency enhancement (SM) is 0.94. The variable with the highest value was Customer relationship Management System (CT) at 0.82 and Customer Satisfaction (TE) at 0.77.