Journal of Logistics and Supply Chain Operations (JLSCO)
https://so03.tci-thaijo.org/index.php/Logis_j
<p>Journal of Logistics and Supply Chain Operations (JLSCO)<br />ISSN 3027-7337 (Print) , ISSN 3027-7361 (Online) (Original number - Original name: ISSN: 2651-1622, ISSN: 2408-2740, Journal of Logistics and Supply Chain College: JLSCC)</p> <p> </p> <p>Scheduled to be published every 4 months, 3 issues a year as follows</p> <p>Issue 1 January - April</p> <p>Issue 2 MAy - August</p> <p>Issue 3 September - December</p>วารสารปฏิบัติการโลจิสติกส์และซัพพลายเชน en-USJournal of Logistics and Supply Chain Operations (JLSCO) 3027-7337Structural Equation Modeling of Digital Management, Resilience, and the Concept of Circular Economy Influencing the Supply Chain Sustainability of Food and Beverage Industry in Thailand
https://so03.tci-thaijo.org/index.php/Logis_j/article/view/276371
<p>This research aims to study the levels of digital management, supply chain resilience, and the concept of the circular economy, as well as to examine the direct and indirect influences on the sustainability of the food and beverage industry supply chain in Thailand. A mixed-methods approach was employed, combining both qualitative and quantitative research methods. The qualitative method involved in-depth interviews with 12 executives, academics, and representatives from relevant associations, which were then subjected to content analysis. Meanwhile, the quantitative research method involved distributing questionnaires to a stratified random sample of 320 factory executives from a total population of 7,396 factories, followed by data analysis using causal relationship studies and structural equation modeling. The results of the research in accordance with the first objective revealed that digital management, supply chain resilience, the concept of the circular economy, and supply chain sustainability are all at a high level. The findings related to the second objective indicated that: 1) digital management, supply chain resilience, and the concept of the circular economy have a positive direct influence on supply chain sustainability; and 2) digital management has a positive indirect influence on supply chain sustainability, mediated by supply chain resilience and the concept of the circular economy. Additionally, the qualitative findings suggested that strategies for enhancing supply chain sustainability should prioritize effective digital management, the development of resilience, and the circular economy concept. In conclusion, the research findings can be utilized for strategic teamwork to formulate policies that support investment, assess customer feedback for the development of capabilities towards becoming a digitally driven organization. This entails establishing a clear direction in personnel development, big data analysis, and fostering workplace resilience, which will contribute to increasing the return on asset utilization, enhancing profit margins, and sustainably increasing the market share of operators.</p>Nattakan Poolgatenatapat areerakulkan
Copyright (c) 2025 Journal of Logistics and Supply Chain Operations (JLSCO)
2026-03-302026-03-3012172610.53848/jlsco.v12i1.276371Decision-making process for Selecting the Type of Container Truck Case Study International Vessel Agent
https://so03.tci-thaijo.org/index.php/Logis_j/article/view/279686
<p>The objective of this research was to examine the viability of utilizing electric-powered container trucks. It served as a tool for determining whether to utilize a new truck model for a scase study, an international vessel agent. Currently, the company has gasoline-powered trucks and natural gas-powered trucks. The route under examination was from Ladkrabang Port in Bangkok to Laem Chabang Port in Chonburi, Thailand. This research employed both quantitative and qualitative approaches (mixed methods) and used purposive sampling from experts in companies with over 10 years of experience for 5 people with a structured interview. The research began with collecting data on both types of trucks and electric trucks to be compared with costs and greenhouse gas (GHG) emissions. It was determined that a gasoline-powered truck has an annual cost of 8,225,858 baht and emits 723,751 kg of CO<sub>2</sub>. A natural gas-powered truck costs 5,289,363 baht per year and emits 592,587 kg of CO<sub>2</sub>, while an electric truck costs 3,183,088 baht annually and emits 288,580 kg of CO<sub>2</sub>. Then the study of electric trucks was done and analyzed data on the payback period, internal rate of return, and net present value. The study found that the cost-effectiveness of electric-powered trucks revealed that the time required to recover an initial investment was 3 years and 1 month, the present value of cash flows was 6,392,239 baht, and the project's rate of return was 18.52%. Feasibility analysis indicated that investing in electric-powered trucks gave positive future returns, which made the investment worthwhile and proposed as alternative options for decision-making within the company's case study.</p>Atidtaya NoisenaNinlawan Choomrit
Copyright (c) 2025 Journal of Logistics and Supply Chain Operations (JLSCO)
2026-03-302026-03-30121273710.53848/jlsco.v11i3.279686Aggregate Production Planning under Production Demand Uncertainty A Case Study of Cosmetic Company
https://so03.tci-thaijo.org/index.php/Logis_j/article/view/280696
<p>Efficient production planning is crucial in the cosmetics industry to minimize costs and meet demand. This research aimed to identify suitable forecasting methods and develop a cost-minimizing aggregate production planning model for a cosmetics manufacturing company. The study used a case study approach, collecting data on the demand for skincare cosmetics over 60 weeks. The data were analyzed to determine the most appropriate forecasting model by evaluating forecast error metrics. Four forecasting methods were considered: 3-month and 5-month moving averages, simple exponential smoothing, and double exponential smoothing. The forecasted values were then incorporated into a mathematical model for aggregate production planning, optimized for cost minimization. The results indicated that simple exponential smoothing provided the most accurate forecasts, with a mean absolute percentage error (MAPE) of 27%. The optimized aggregate production plan, assuming zero initial and final inventory, resulted in a total production cost of 930,661.50 Thai Baht. Sensitivity analysis highlighted the significant impact of demand and inventory levels on overall production costs.</p>Sukhuman Rianthong
Copyright (c) 2025 Journal of Logistics and Supply Chain Operations (JLSCO)
2026-03-302026-03-30121385410.53848/jlsco.v12i1.280696A Multi-Echelon Inventory Management Framework for Cost Optimization in a Coffee Shop Supply Chain Using (R, s, S) Policies
https://so03.tci-thaijo.org/index.php/Logis_j/article/view/280650
<p>The purpose of this research was to present a multi-level inventory management framework designed for a corporate structure with a single distribution center and multiple branches. The model employs a two-level inventory approach, specifically designed for handling diverse product categories, by utilizing a hybrid ordering system. At the core of this framework is a composite inventory policy, denoted as (R, s, S), which effectively manages product demand using statistical probability distributions—a critical consideration in retail operations. Additionally, the model accounts for fixed lead times associated with the transfer of products between the distribution center and its branches, ensuring timely replenishment. The framework’s efficacy is demonstrated through a case study involving a large coffee shop enterprise managing 172 distinct products. The case study reveals that the proposed model not only streamlines inventory planning but also significantly reduces inventory management costs. When compared to traditional methods, the framework achieves a monthly cost reduction from 22,849.05 baht, marking a 2.32% decrease. This reduction highlights the model's potential for improving operational efficiency and cost-effectiveness across various product lines. In summary, this approach offers a robust solution for multi-level inventory management, enabling organizations to optimize their inventory processes and realize substantial cost savings.</p>sompop saengphuengSalintip Suwannalert Natthapat Nanthakij Siradej Chartniyom
Copyright (c) 2025 Journal of Logistics and Supply Chain Operations (JLSCO)
2026-03-302026-03-30121557510.53848/jlsco.v12i1.280650Activity-Based Cost Analysis (ABC) for a Truck Freight Transport Service Providers: A Case Study of Transportation Company Phitsanulok Province
https://so03.tci-thaijo.org/index.php/Logis_j/article/view/281911
<p>This research seeks to 1) investigate the actual costs of trucking services and 2) evaluate value-added activities within the freight forwarding process. By applying the concept of activity-based cost analysis, an evaluation of the value of activities in the transportation process and the activity-based costing system of a logistics company in Phitsanulok Province was conducted. The analysis utilized detailed cost accounting data from transportation operations during 2019–2021, revealing that the costs exceeded the target values set by the company. The research findings show that the company has five main activities, comprising 21 sub-activities. These include transportation planning 300.11 baht/trip, coordination 3,436.99 baht/trip, vehicle arrangement 3,452.65 baht/trip, goods handling 2,337.58 baht/trip, and document preparation 1,034.64 baht/trip. The total transportation cost was 10,561.96 baht/trip, or 364.21 baht/ton, with cost components broken down into fixed costs of 48.67%, variable costs of 47.11%, and overhead of 4.23%. The coordination required the most time, averaging 23 min/trip/day, with an annual cost of 23,835,514 baht, representing 32.54% of the total costs. The pre-transportation phase consumed 55.66% of the total time, with an average duration of 13 minutes/trip. Three non-value-adding (NVA) activities accounted for 2 min/trip or 10.38% of the total time. Reducing these could reduce transportation costs by 17,629,124.16 baht/year, or 24.07% of the total expenses. Companies should integrate information technology into their data entry processes to streamline operations, reduce redundancy, minimize processing time, and decrease the likelihood of errors.</p>Hathaithanok PoungyaemPhetcharayud Sae-leeWachira Wichitphongsa
Copyright (c) 2025 Journal of Logistics and Supply Chain Operations (JLSCO)
2026-03-302026-03-30121769010.53848/jlsco.v12i1.281911A Scenario Analysis of a Suitable Long-Term Freight Contract: A Case Study of a Freight Forwarding Company
https://so03.tci-thaijo.org/index.php/Logis_j/article/view/285576
<p>This research aims to 1) study the factors affecting market freight rates (Spot Rates) for each route of the company from 2020 to 2023 2) to analyze the overall export situation and industry trends of main customers (Electrical appliances business) 3) to propose a long-term freight contract model, and a combined model that includes both long-term rates and spot rates to achieve the most suitable arrangement. From the collection of freight rates and export volumes of the case study company, the mode of transport is a 40-foot dry or general cargo container. The routes with high export volume and regular frequency are divided into three main regions: 1) Asia (92%), 2) Europe (7.12%), and 3) the Middle East (0.88). These regions were selected as representative routes for collecting freight rates. Data from 2020 is used as the base year to calculate the international maritime freight service index. The factors influencing freight rates include the carrier’s shipping costs and crude oil prices, the global economy, and seasonality (transport demand). Based on these factors, freight rate trends can be divided into three scenarios: 1) Freight rates increase, 2) Freight rates remain stable, and 3) Freight rates decrease. The result of the highest possible scenarios is the freight rate increase. From in-depth purposive interviews with 7 experts, the results indicate that the freight rates are expected to increase. Therefore, A long-term freight contract should be established.</p>Benyatip LuangthongsriMana ChaowaratPairoj Raothanachonkun
Copyright (c) 2025 Journal of Logistics and Supply Chain Operations (JLSCO)
2026-03-302026-03-301219110410.53848/jlsco.v12i1.285576Strategic Risk Management in Transshipment Operations: A Case Study of a Logistics Service Provider
https://so03.tci-thaijo.org/index.php/Logis_j/article/view/286047
<p>This research aims to examine business processes, identifies and assesses potential risks, and develop appropriate risk management strategies. The research employs a case study approach, focusing on managerial-level employees from Sales, Customer Service, Accounting and Finance, and Business Development. The primary research tool is a risk assessment framework developed based on group discussions and expert opinions involved in analyzing the index of item objective congruence to ensure data accuracy and reliability. Data collection was conducted via online discussions, and risk levels were categorized into four tiers: Very High (16 points), High (9-12 points), Moderate (6-8 points), <br />and Low (1-4 points). Subsequently, the researcher will develop a risk management plan for risk factors classified as high or above to mitigate potential damage that may arise in the future. The research findings indicate that the transshipment business process involves the relationship and continuity of work procedures, starting from customers, sales department, business development department, customer service department, documentation department, customs brokers department, and accounting and finance department. Cooperation from each department is required for the operation to be successfully completed. Moreover, most of the risks were found at a medium level, but there were some high-risk risks with a risk level of 12 points, including: Lack of coordination between departments. This risk can be managed by using a digital platform and online work tracking system to increase coordination efficiency. Lack of knowledge in the handover process can be managed by creating a mentoring program for new employees to provide guidance. In addition, the risk level of 9 points includes exchange rate volatility. This risk is managed by entering into forward contracts to hedge against market volatility. There is also the unclear and incomplete coverage of import, export and transshipment regulations, which can be reduced by hiring legal counsel to provide advice on compliance. Implementing these risk management measures is essential for enhancing operational efficiency, ensuring regulatory compliance, and minimizing long-term business disruptions.</p>Juthathip SuraraksaA-mornthep Kitdet
Copyright (c) 2026 Journal of Logistics and Supply Chain Operations (JLSCO)
2026-03-302026-03-3012110512810.53848/jlsco.v12i1.286047Factors Influencing Online Business Entrepreneurs Decision to Use Shipping Service in Bangkok
https://so03.tci-thaijo.org/index.php/Logis_j/article/view/289413
<p>This quantitative research aims to 1) study demographic characteristics influencing decision to use shipping service of online business entrepreneurs in Bangkok 2) study service quality in 1. Reliability and trust 2. Customer responsiveness 3) Quality assurance and 4. Empathy affecting the decision making to use shipping service of online business entrepreneur in Bangkok. To collect data by using a sample of 400 online business entrepreneurs in Bangkok. The research was conducted through questionnaire which have given a consistent reliability index more than 07. Data analyzed by using descriptive statistics were standard deviation, average, percentage and inferential statistics were t-test, F-Test (One-way ANOVA) and Multiple regression. The finding found that 1) demographic characteristics: frequency of service use affecting to the decision making to use shipping services of online business entrepreneur in Bangkok at a different degree at a statistical significance level of 0.05. Factors such as age, education level, occupation or career and income have not affecting to the decision making to use shipping service of online business entrepreneurs in Bangkok 2) Factors service quality such as reliability and trust, quality assurance and empathy affecting to the decision making to use shipping service of online business entrepreneurs in Bangkok at a different degree at a statistical significance level of 0.05. Customer responsiveness was not affecting of the decision making to use shipping service of online business entrepreneurs in Bangkok.</p>Pakawadee TrirasriPiyachat Jarutirasarn
Copyright (c) 2026 Journal of Logistics and Supply Chain Operations (JLSCO)
2026-03-302026-03-3012112914510.53848/jlsco.v12i1.289413Mobile Grocery Vehicle Business Management with Logistics System: A Case Study of Mueang District, Lampang Province
https://so03.tci-thaijo.org/index.php/Logis_j/article/view/290183
<p>Lampang Province has high elderly population and consumer behavior characterized by reliance on mobile grocery vehicles, which can conveniently access remote areas. These vehicles served as a key mechanism in the distribution of consumer goods. However, their operations still lacked appropriate logistics system. This study focused on the case study area of Mueang Lampang. This research aims to develop distribution mechanism for mobile grocery vehicles and to evaluate logistics performance of mobile grocery vehicles distribution. A purposive sampling method was employed to select 10 vehicles, with data collected between 2022 and 2024 using in-depth interviews, participant and non-participant observation, the SCOR model and logistics concepts. The study found that the development of logistics model focusing on route planning, inventory management, demand forecasting and vehicle loading layout was suitable for the local context and practically applicable. It led to a 15.07% reduction in total costs. Customer response time decreased by 33.33%, delivery lead time by 11.40%, and inventory day for fresh and dry goods by 50.00% and 17.83%, respectively. Reliability improved, with delivery in full on time increasing by 31.65%, forecasting accuracy by 14.07%, and return rate decreasing by 20.00%.</p>Panjaporn JantawongThagoon SiriyodNalinthip KongkhamAmaporn PongrungsieSonthiya SuwannarajSiraya Janasak
Copyright (c) 2026 Journal of Logistics and Supply Chain Operations (JLSCO)
2026-03-302026-03-3012114616410.53848/jlsco.v12i1.290183The Role of Organizational Management in Sustainable Logistics and Supply Chains
https://so03.tci-thaijo.org/index.php/Logis_j/article/view/297104
<p>This study aims to (1) examine the role of organizational management in the sustainability of logistics and supply chains, and (2) test the causal relationship between organizational management and sustainable logistics and supply chain performance. A mixed-methods research design was employed. Quantitative data were collected from 400 employees working in logistics companies operating in Bangkok, while in-depth interviews were conducted with 18 key informants. The research instrument was validated by 3 experts for content validity, with an Index of Item–Objective Congruence (IOC) of 0.83, which was considered acceptable. Data were analyzed using path analysis and content analysis. The findings reveal that (1) organizational management plays a crucial role in enhancing the sustainability of logistics and supply chains, where strategic management, leadership and organizational culture, human resource development, and digital management collectively support sustainability across economic, environmental, and social dimensions; and (2) organizational management has a significant positive effect on sustainable logistics and supply chain performance. The interview results further indicate that strategic direction, leadership, and human resource development are key mechanisms that facilitate the implementation of sustainability practices in logistics and supply chain operations.</p>Manannat Phochanajun
Copyright (c) 2026 Journal of Logistics and Supply Chain Operations (JLSCO)
2026-03-302026-03-3012116518010.53848/jlsco.v12i1.297104