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Journal of Social Science Utilizing Technology
Published by Yayasan Adra Karima Hubbi
ISSN : 30265959     EISSN : 3026605X     DOI : 10.70177/jssut
Core Subject :
Journal of Social Science Utilizing Technology focused on new research addressing Information, Management, Educational Technology, eLearning, Media Management, Human Resources, Fine and Applied Arts, Humanities Social Sciences, General and CrossDisciplinary and Communications Technologies as Applied to the Digital Worlds of Business, Government and Non-Governmental Enterprises. The Journal publishes work from all disciplinary, theoretical and methodological perspectives. It is designed to be read by researchers, scholars, teachers and advanced students in the fields of Information Systems, Management and Information Science, as well as information technology developers, consultants, software vendors, and senior business and information technology executives seeking an update on current experience and future prospects in relation to contemporary information and communications technologies.
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Search results for , issue "vol. 4 no. 4 (2026)" : 1 Documents clear
Integrating Digital Twin Technology and Circular Economy Principles: A Decision-Support System for Sustainable Production Planning Taufik Ramdhan
Journal of Social Science Utilizing Technology Vol. 4 No. 4 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v4i4.4311

Abstract

Background. Manufacturing firms face increasing pressure to reconcile operational efficiency with resource circularity, yet conventional production planning rarely integrates real-time system behavior with circular economy criteria. Purpose. This study aimed to develop and evaluate a digital twin–based decision-support system for sustainable production planning that balances economic, environmental, operational, and circularity objectives. Method. A design science approach was applied using 226 daily observations from an electromechanical manufacturing facility, combining virtual production modelling, multi-objective optimization, scenario analysis, and case-based validation. Results. Compared to conventional planning, the system reduced daily production costs by 8.13%, energy consumption by 12.40%, carbon emissions by 14.96%, virgin-material use by 18.23%, and waste generation by 21.05%. Additionally, recovered-material utilization increased by 42.39%, component recovery improved by 15.80 percentage points, and service level rose from 91.60% to 95.80%, while output remained stable. Conclusion. Digital twins can effectively operationalize circular economy principles by turning real-time production and recovery data into balanced, resource-efficient planning decisions without compromising delivery reliability.for OCF strategies.

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