Designing Performance Improvement Strategy in Automotive Companies Using SCOR Model and Importance Performance Analysis

Fauzia Dianawati, Kemas Zaky Zamzamy

Research output: Contribution to journalConference articlepeer-review

Abstract

This research begins by determining and validating indicators (KPIs) that will be used to measure performance in the company's supply chain, and making questionnaires to compare priorities between indicators and also each attribute and process at each SCOR level. This study has five general processes of supply chain. Each process is further divided into several attributes that are included at level two within the SCOR framework, namely reliability, responsiveness, flexibility, cost, and assets. Furthermore, each of these attributes has a total of 49 performance indicator indicators. The next step is to validate and ensure each indicator can be measured in research by holding discussions with the company. This paper aims to obtain the value of the company's supply chain performance to determine the supply chain performance improvement strategy of PT. X so that the performance of the company's supply chain can improve.

Original languageEnglish
Article number012054
JournalJournal of Physics: Conference Series
Volume2089
Issue number1
DOIs
Publication statusPublished - 30 Nov 2021
Event1st International Conference on Applied Mathematics, Modeling and Simulation in Engineering, AMSE 2021 - Hyderabad, Virtual, India
Duration: 15 Sep 202116 Sep 2021

Keywords

  • Analytical Hierarchy Process
  • Automotive Industry
  • Importance and Performance Analysis. Performance Measurement
  • Supply Chain
  • Supply Chain Operations Reference

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