Khairunnisa Naziro, Yandra Rahadian Perdana, Dwi Kristanto

The Supply Chain Performance Measurement and Determination of Improvement Priorities Using the Supply Chain Operations Reference –Digital Standard (SCOR DS) and Analytic Network Process (ANP) Methods

Introduction

The supply chain performance measurement and determination of improvement priorities using the supply chain operations reference –digital standard (scor ds) and analytic network process (anp) methods. Measure and improve waste processing supply chain performance at TPST Sendangsari using SCOR-DS and ANP. Identify key improvement priorities for environmental sustainability KPIs.

Abstract

Effective and efficient waste management remains a key challenge in supporting environmental sustainability at the regional level. This study was conducted at the Sendangsari Integrated Waste Management Site (TPST), located in Sleman, Yogyakarta. The aim of the research is to measure the performance of the waste processing supply chain and to determine the priority areas for improvement. The method used is the Supply Chain Operations Reference – Digital Standard (SCOR DS) approach to identify and categorize performance indicators based on six core processes: Plan, Order, Source, Transform, Fulfill, and Return. The Analytic Network Process (ANP) method is employed to assign weights to 18 Key Performance Indicators (KPIs) based on their level of influence and interrelation. These weights are then applied using the Objective Matrix (OMAX) method to calculate the performance scores for each indicator, which are subsequently classified using the Traffic Light System (TLS). The results show that TPST Sendangsari achieved an overall performance score of 7, with 9 KPIs falling in the green category, 7 in yellow, and 2 in red. These findings indicate that TPST Sendangsari requires further evaluation and improvement efforts, particularly for KPIs in the red and yellow categories, to enhance its overall performance.

Review

This paper addresses a highly pertinent challenge: the effective and efficient management of waste, crucial for regional environmental sustainability. The authors present a valuable study conducted at the Sendangsari Integrated Waste Management Site (TPST), aiming to comprehensively measure the performance of its waste processing supply chain and subsequently pinpoint critical areas for improvement. The chosen methodology is particularly robust, integrating the widely recognized Supply Chain Operations Reference – Digital Standard (SCOR DS) for performance indicator identification with the Analytic Network Process (ANP) for intricate KPI weighting. This combined approach, further enhanced by Objective Matrix (OMAX) and Traffic Light System (TLS) for scoring and classification, offers a sophisticated framework for evaluating complex waste management operations, making a significant contribution to the application of structured supply chain analysis in a critical environmental domain. The methodological synergy employed is a notable strength of this research. Utilizing SCOR DS provides a standardized, industry-recognized structure for categorizing 18 Key Performance Indicators across the six core processes (Plan, Order, Source, Transform, Fulfill, and Return), ensuring a holistic view of the supply chain. The subsequent application of ANP to assign weights based on interdependencies is crucial, moving beyond simple additive scoring to reflect the complex relationships within the system. The resulting performance scores, classified via the Traffic Light System, offer clear, actionable insights. The study's findings reveal an overall performance score of 7 for TPST Sendangsari, with a distribution of 9 KPIs in the green, 7 in the yellow, and 2 in the red category. This granular breakdown effectively highlights that while several aspects perform well, a significant number of areas, particularly those in the yellow and red zones, demand immediate and focused attention for strategic intervention and improvement. The findings of this study provide critical insights for TPST Sendangsari, unequivocally indicating the need for further evaluation and targeted improvement efforts, especially for the identified red and yellow category KPIs. This detailed performance assessment offers a robust foundation for decision-makers to prioritize investments and operational changes, moving from a general understanding to specific, data-driven interventions. Beyond the specific case study, the integrated SCOR DS-ANP-OMAX-TLS framework presented here holds significant promise as a transferable methodology for other regional waste management sites or indeed, any supply chain seeking to measure performance comprehensively and determine strategic improvement priorities. This research thus makes a valuable contribution not only to the operational efficiency of waste management but also to the broader application of advanced performance measurement techniques in sustainability-critical supply chains.

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