<![CDATA[Abstract. The selection of optimal plastic pellet samples is often constrained by subjective manual assessments, affecting product quality and production efficiency. This study presents a web-based Decision Support System (DSS) utilizing the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method to improve objectivity in the selection process. Five weighted criteria are used: material cleanliness, physical quality, material strength, price, and plastic type suitability. MOORA calculates the optimization value for each alternative, enabling precise and accountable recommendations. The system’s implementation demonstrates enhanced selection speed, reduced subjectivity, and support for quality-based pricing decisions. Overall, the proposed DSS effectively improves decision-making accuracy and contributes to better production outcomes.]]>
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