Design of Key Performance Indicators (KPI) for Sustainable Supply Chain Management (SSCM) in Textile Industry with Analytical Hierarchy Process

Main Authors: Mardiana, Dewi Putri, Primadasa, Rangga
Format: Article info application/pdf eJournal
Bahasa: eng
Terbitan: Universitas Katolik Parahyangan , 2023
Subjects:
AHP
Online Access: https://journal.unpar.ac.id/index.php/jrsi/article/view/5549
https://journal.unpar.ac.id/index.php/jrsi/article/view/5549/3989
Daftar Isi:
  • This paper aims to design Key Performance Indicators (KPI) to evaluate sustainable supply chain management (SSCM) in the textile industry in Indonesia. Supply chain sustainability has various challenges in supply chain management from an environmental, social and economic perspective. This encourages better performance management.The method used in identifying SSCM KPIs in the textile industry is carried out by surveys and field studies and validation of the respondent's questionnaire assessment, there are 20 SSM KPIs obtained during direct research in one of the textile industries in Kudus City. Precision performance is obtained by assessing the level of importance between KPI indicators measured using the Analytical Hierarchy Process (AHP) method. According to respondents' preferences, the most dominant indicators are economic indicators, followed by environmental indicators and then social indicators. The results of these KPIs are used to measure the performance of SSCM in the textile industry and as a reference for recommendations for performance improvement.
  • Penelitian ini bertujuan untuk merancang Key Performance Indicators (KPI) untuk mengevaluasi pengelolaan rantai pasok berkelanjutan (Sustainable Supply Chain Management/SSCM) pada industri tekstil di Indonesia. Keberlanjutan rantai pasok memiliki berbagai tantangan pengelolaan rantai pasok dari segi lingkungan, sosial dan ekonomi. Hal ini mendorong pengelolaan kinerja yang lebih baik. Metode yang digunakan dalam mengidentifikasi KPI SSCM di industri tekstil dilakukan dengan survei dan studi lapangan dan validasi penilaian kuesioner responden, terdapat 20 KPI SSM yang didapatkan selama penelitian langsung di salah satu industri tekstil di Kota Kudus. Kinerja yang presisi didapatkan dengan penilaian tingkat kepentingan antar indikator KPI yang diukur menggunakan metode Analytical Hierarchy Process (AHP). Menurut preferensi responden indikator yang paling dominan adalah indikator ekonomi, diikuti indikator lingkungan dan kemudian indikator sosial. Hasil KPI tersebut digunakan untuk pengukuran kinerja SSCM di industri tekstil dan sebagai acuan rekomendasi perbaikan kinerja.