Conceptual model to manage supply chain performance (case study: pangasius.sp agroindustry in indonesia)

Subject Areas :

Andreas Panudju ¹ , Marimin Marimin ² , Sapta Raharja ³ , Mala Nurilmala ⁴

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Received: 2023-03-05 Accepted : 2023-04-10 Published : 2023-06-01

Keywords: SCOR, conceptual model, Supply chain performance, Pangasius sp,

Abstract :

Creating clear and timely performance reports across all components of the pangasius.sp agroindustry supply chain is pressing, particularly in monitoring each stakeholder' KPIs. The information model based on Supply Chain Operation Reference (SCOR) tries to portray the needs of each stakeholder. The essential stakeholders supply chain criteria in the pangasius.sp fish agroindustry was mapped into respectable definitions. The proposed formulation generates associated features into evaluation measures to evaluate specific performance. The performance of each attribute is then compared to industry best practices. An Application Development Framework (ADF) based on Business Process Modeling and Notation (BPMN) connects the model's operations with a cloud-based database. The front-end integrated by JavaScript with database operations based on SCOR is finished and ready for mobile and desktop use. This model enables straightforward interpretation and comprehension of performance measurement through various visualizations such as spider charts, histograms, line charts, and ETL (Extract, Transform, and Load) features. Based on the findings in Figure 8, it is apparent that the fish processing sector is presently performing below expectations. The total performance score of 78.81 signifies this. The scores for reliability, responsiveness, agility, cost, and assets qualities are moderate, indicating room for improvement. The low scores for order fulfillment cycle time (63.60) and cash-to-cash cycle time (51.70) are noteworthy, and improving these performance indicators should be the primary focus to enhance overall performance. The model would efficiently illustrate evaluation functionality by leveraging real-world data obtained from Indonesia's pangasius. sp agroindustry's three main regions, namely the provinces of West Java, East Java and Lampung. Quick geographic comparisons are provided for research at several user levels in the pangasius.sp processing, retail, collector, and aquaculture industries.

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