Applying DEA to Measure Supply Chain Performance in Local Coffee Shops A Case Study Near Naresuan University
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This study examines the supply chain efficiency of local coffee shops near Naresuan University, Thailand, using a Data Envelopment Analysis (DEA) approach. The research evaluates the performance of four coffee shops by identifying key indicators based on the Balanced Scorecard (BSC) framework, encompassing Customer, Financial, Internal Processes, and Learning and Growth perspectives. The performance factors were validated by five relevant experts using the Content Validity Ratio (CVR) and the Index of Item-Objective Congruence (IOC). The validated performance indicators include resource utilization measures, such as transportation and production costs, and outcome metrics, including customer satisfaction and coffee production volume. The performance data for the case study were collected through a questionnaire administered to informants, covering the period from June 2023 to March 2024. The results reveal varying levels of efficiency among the four coffee shops. Coffee Shop A achieved the highest efficiency score (0.947), closely followed by Coffee Shop B (0.941). Coffee Shop C demonstrated moderate inefficiency (0.897), while Coffee Shop D had the lowest score (0.772), indicating substantial room for improvement. Inefficient coffee shops can improve performance by aligning their resource utilization and outputs with the benchmark of efficient coffee shops. These findings highlight specific operational gaps and opportunities for optimization. The study provides actionable recommendations to enhance supply chain practices, contributing to the competitiveness and sustainability of small-scale coffee businesses in an increasingly demanding market.
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