Suwunnamek, Opal
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Item type:Publication, Structural equation modeling of supply chain management, employee involvement, and employee work performance in thailand's auto parts industry(2021-12-01); The objective of this research was to analyse the structural equation modelling (SEM) of supply chain management, employee involvement, and employee work performance in Thailand's auto parts industry. The sample group included 383 employees operating in the aforementioned industry using SEM processing by the AMOS program as the tool. From the research, the latent variable of supply chain management had a direct positive influence on the latency of employee involvement and employee work performance with statistical significance. Simultaneously, the latency of employee involvement had no direct positive influence on the latency of employee work performance. Therefore, the latency of supply chain management did not indirectly influence the latency of employee work performance through the latency of employee involvement. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Internet of Things (IoT) Application for Management in Automotive Parts Manufacturing(2022-01-01); Automotive parts manufacturing focuses on sustainable development manufacturing capabilities with future technology changes. Internet of Things (IoT) plays an important role in applying internet technology to machines and equipment in manufacturing processes for transformation towards Industry 4.0 as well as creating values added and higher competitive advantage for the sustainability of the industries. This research aims to study factors that influence decision-makers in selecting IoT applications for managing auto parts production and they consist of connectivity, telepresence, intelligence, security, and value including their fifteen sub-factors. In this research, The Fuzzy Analytic Network Process (FANP) is a Multiple Criteria Decision Making (MCDM) technique used to analyze, identify, and prioritize factors in selecting IoT applications for managing production processes. The questionnaire is designed based on the FANP technique to survey the importance of weight for each factor from executives of 88 auto parts manufacturers who authorize as the decision-makers for selecting IoT applications. The results have indicated that telepresence is the most important factor that will assist them in controlling production to guarantee that production capabilities meet the objective and connectivity is the second important factor that must ensure that IoT applications are compatible with their machinery and equipment can be controlled smoothly and precisely. Meanwhile, performance is the most important sub-factor and other subfactors are ranked as functional orientation, data management, control, and compatibility respectively. Therefore, manufacturers can use this research as a criterion for selecting appropriate IoT applications for controlling their manufacturing for sustainable effectiveness. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Cost-efficient food loss and waste management using the FANP analysis(2026-01-01); ; This study proposes a structured cost-efficiency framework for managing food loss and waste in the frozen food industry by integrating supply chain analysis with responsibility-based cost concepts. Data collected from key industry stakeholders were used to identify critical factors contributing to food loss and waste across the frozen food supply chain. The fuzzy analytic network process (FANP) incorporated with cost analysis was employed to prioritize these interdependent factors. The results from the FANP show that suppliers and farms, followed by handling and storage. The cost responsibility analysis reveal that 85.47% of total food loss and waste-related costs are controllable, while the weighted cost impact analysis, captures the interaction between factor importance and cost proportion, indicates that factors with the highest weighted cost impacts are predominantly concentrated at the supplier and farm stage. The findings provide clear managerial guidance by identifying priority intervention areas where cost reductions can be achieved most effectively. This study contributes to the literature by linking food loss and waste drivers with controllable cost structures and by demonstrating how FANP can be applied to support cost-efficient and targeted improvement strategies in frozen food supply chains, particularly in emerging food-exporting economies such as Thailand.