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ISO 23247 Digital Twin Model for JIT Supply Chain Visibility: Model Digital Twin ISO 23247 untuk Visibilitas Rantai Pasok JIT Riyanto, Rudy; Karningsih , Putu Dana; Al Kindhi , Berlian
Indonesian Journal of Innovation Studies Vol. 27 No. 2 (2026): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i2.1923

Abstract

General Background: Automotive supply chains operating under Just-in-Time (JIT) principles require high levels of supply chain visibility to maintain synchronized material flow and stable production rhythms. Specific Background: In practice, daily monitoring using the Material Information Flow Chart (MIFC) remains constrained by paper-based tools or non-integrated digital systems, resulting in information lead times of one to two weeks and limited support for real-time problem solving. Knowledge Gap: Although Digital Twin technology and ISO 23247 architecture provide a standardized digital representation framework, limited studies address structured integration of conventional MIFC with ISO 23247 for cross-supply chain material flow representation in JIT environments. Aims: This study proposes the design of an ISO 23247–based MIFC Digital Twin model (MIFCDT) to represent material flow through structured digital entities aligned with Observable Manufacturing Elements and standard information attributes. Results: The model maps seven MIFC symbols into OME Equipment and OME Process entities and formulates digital representations using identifier, characteristics, location, capacity, and dynamic status attributes capturing timestamp and quantity data. A conceptual automotive supply chain scenario demonstrates one-to-one correspondence between physical and digital entities, enabling structured monitoring of cycle time deviation and lead time delay. Novelty: The study introduces a structured digital representation model that bridges conventional MIFC practice with ISO 23247 architecture at the material flow level. Implications: The proposed model provides a conceptual foundation for real-time supply chain visibility and supports daily management in JIT-based automotive systems while opening pathways for further empirical implementation. Highlights • Structured mapping of seven MIFC symbols into ISO 23247 Observable Manufacturing Elements.• Formulation of static and dynamic digital attributes capturing timestamp, quantity, and location data.• One-to-one correspondence between physical production points and digital entities demonstrated in a conceptual automotive scenario. Keywords Digital Twin; ISO 23247; Supply Chain Visibility; Just-In-Time; Material Information Flow Chart
Toward a More Dynamic Supplier Evaluation: A Time Series Forecasting Perspective : Membangun Upaya Evaluasi Pemasok yang Lebih Dinamis: Perspektif Peramalan Deret Waktu Fikri, Muhammad Naufal; Pujawan, I Nyoman; Karningsih, Putu Dana
Indonesian Journal of Innovation Studies Vol. 27 No. 2 (2026): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i2.1931

Abstract

General Background: Procurement continuity is essential for maintaining healthcare service operations, where supplier failures can disrupt service quality. Specific Background: This study evaluates supplier reliability in provincial government healthcare facilities in East Java, Indonesia, using three key performance metrics: on-time delivery (OTD), quantity fulfillment, and order lead time, based on 2023 contract data from 13 pharmaceutical suppliers. Knowledge Gap: Traditional supplier evaluation is often static, limiting the ability to detect temporal performance shifts and future reliability risks. Aims: This research aims to develop a dynamic supplier evaluation framework by integrating time series forecasting methods. Results: Historical performance showed moderate–high reliability (OTD ≈ 80.04%, quantity fulfillment ≈ 79.3%, lead time ≈ 20 days). Forecasting with exponential smoothing and Theta methods indicated declining OTD and quantity fulfillment, alongside improved lead time performance (≈ 10 days). Forecast errors were MAE ≈ 25% and RMSE ≈ 32% for service metrics, and MAE ≈ 8 days and RMSE ≈ 9 days for lead time. Novelty: The study advances supplier evaluation by combining multimetrical reliability assessment with forecasting-based temporal detection, moving beyond one-time performance scoring. Implications: This dynamic approach supports healthcare procurement managers in prioritizing resilient suppliers, adapting sourcing strategies, and mitigating operational risks in uncertain environments. Highlights: Supplier performance exhibited fluctuating reliability patterns across monthly contract periods. Forecasting results revealed decreasing delivery and fulfillment rates with shorter shipment durations. Service compliance metrics were strongly correlated, while lead time remained relatively independent. Keywords:  Public Healthcare Procurement, Supplier Evaluation, Supplier Performance Forecasting, Supplier Reliability
Co-Authors Adinda Sushmita Dewanti Adithya Sudiarno Aditia Shofyan, Rizal Aditya Rahadian Fachrur Adji Sepvian Fadillah Budiono Ahmad Syamsuri Al Kindhi , Berlian Amelia Santoso Anda Iviana Juniani Andrew Andrew, Andrew Arie Diputra Ersam Arif Budi Sulistyo Arif Wahjudi Ariyani, Made Laksmi Atmam Abdha Arianandha Bambang Prasetya Benhard Panangian Budi Siswanto Budisantoso Wirjodirdjo Chatarina Dian Indrawati Danar Agus Susanto David Dwi Harjanto Dewanti Anggrahini Dewanti Anggrahini Dewanti Anggrahini Dewanti Anggrahini Dewi, Dyah Santhi Dewinta Cahya Mardiatilla Dodgalih Nur Muhammad Dwa Desa Warnana Edi Winarno Emielda Rizqiah Farah Widyan Hazmi Fauzillah Indriani Fauziyah Fatma Ningrum Fikri, Muhammad Naufal Fiky Two Nando Gede Bima Nugraha Hari Supriyanto Hari Supriyanto Hari Supriyanto Henry Pariaman I Ketut Gunarta I Made Londen Batan I Nyoman Pujawan Iffan Maflahah Imandio Wicaksono Inggrit Febriani Sulistiono Putri Inggrita Putri Kusuma Wardani Irene Malilung Sitanggang Iwan Vanany Kurniati, Nani Lestari, Nastiti Puji Maria Anityasari Mokh. Suef Mokhamad Suef Moses Laksono Singgih Muhammad Ryan Nur Haq Nani Kurniati Nastiti Puji Lestari Novi Dwi Jayanti Novi Dwijayanti Petrus Setya Murdapa Ragil Sudaryanto Rindi Kusumawardani Rindi Kusumawardani Riyanto, Rudy Rizal Indrawan Rizaldy Rizki Pratama Rohmatuka, Moh. W. Samira Alvandi Satria Khalif Isnain Satria Khalif Isnain Septi Ayu Angrayni Sherina Amalia Permatasari Sofyan Atsauri Sutikno Sutikno Udisubakti Ciptomulyono Udisubakti Ciptomulyono Valiana Gamma Krestanti Wicaksono, Bagas Wahyu Wijdani Anindya Hadi Winda Puspitasari Winda Puspitasari Wiwin Widiasih Yuanita Kumala Dewi Yudha Prasetyawan Yudha Prasetyawan Yuniasri, Riskyta Yusita Mega Kuncoro