Proceedings of the International Conference on Sustainable Engineering, Infrastructure and Development, ICO-SEID 2022, 23-24 November 2022, Jakarta, Indonesia

Research Article

Key Performance Indicator Analysis Using Integrated SCOR-AHP: A Case Study of Indonesian’s Reverse Supply Chain Industry

Download141 downloads
  • @INPROCEEDINGS{10.4108/eai.23-11-2022.2339152,
        author={Yelita Anggiane Iskandar and Kenzie Dwianugerah Delu and Mirna  Lusiani and Nur Layli Rachmawati and Adji Candra Kurniawan and Rahmad Inca Liperda},
        title={Key Performance Indicator Analysis Using Integrated SCOR-AHP: A Case Study of Indonesian’s Reverse Supply Chain Industry},
        proceedings={Proceedings of the International Conference on Sustainable Engineering, Infrastructure and Development, ICO-SEID 2022, 23-24 November 2022, Jakarta, Indonesia},
        publisher={EAI},
        proceedings_a={ICO-SEID},
        year={2023},
        month={12},
        keywords={recycling company supplier evaluation reverse logistics scor ahp},
        doi={10.4108/eai.23-11-2022.2339152}
    }
    
  • Yelita Anggiane Iskandar
    Kenzie Dwianugerah Delu
    Mirna Lusiani
    Nur Layli Rachmawati
    Adji Candra Kurniawan
    Rahmad Inca Liperda
    Year: 2023
    Key Performance Indicator Analysis Using Integrated SCOR-AHP: A Case Study of Indonesian’s Reverse Supply Chain Industry
    ICO-SEID
    EAI
    DOI: 10.4108/eai.23-11-2022.2339152
Yelita Anggiane Iskandar1, Kenzie Dwianugerah Delu1, Mirna Lusiani1,*, Nur Layli Rachmawati1, Adji Candra Kurniawan1, Rahmad Inca Liperda1
  • 1: Department of Logistics Engineering, Universitas Pertamina, DKI Jakarta 12220
*Contact email: mirna.lusiani@universitaspertamina.ac.id

Abstract

Supplier performance directly affects an organization and consequently its supply chain therefore supplier evaluation is important to be designed. An Indonesian recycling company in the reverse logistics industry is considered here. This study proposes the Supply Chain Operations Reference (SCOR) model to identify the supplier performance indicators, and the Analytical Hierarchy Problem (AHP) method to calculate the importance level of every indicator. In developing the supplier performance metrics, the SCOR framework takes the plan, source, make, delivery, return, and enable processes which were then translated into several criteria known as Key Performance Indicators (KPI) based on five attributes of reliability, responsiveness, agility, costs, and assets. The primary data are collected using several serial surveys with the respective experts. The experiment results show that the most prioritized indicator is KPI-4: "Cost of goods and services" while the least lay on KPI-6: "Number of complaints" with values of 0.2805 and 0.04715 respectively.