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Jurnal Matematika Dan Ilmu Pengetahuan Alam LLDikti Wilayah 1 (JUMPA), is a multi-disciplinary and engineering journal published since 2021 byLLDikti Wilayah 1. Each issue consists of a minimum of 5 articles, the scope of this journal is Mathematics, Chemistry, Physics, Biology, Statistics, Agricultural and Biological Sciences, Biotechnology and Agro-industry, Chemical and Pharmaceutical Sciences, Computer Science, Materials Science, Physics and Astronomy, Biomedical Engineering.
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Kota medan,
Sumatera utara
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Jurnal Matematika Dan Ilmu Pengetahuan Alam LLDikti Wilayah 1 (JUMPA)
Published by LLDIKTI Wilayah 1
ISSN : 28073142     EISSN : 28073142     DOI : https://doi.org/10.54076/jumpa
Core Subject : Science, Education, Social, Engineering,
Aerospace Engineering Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Environmental Science Mathematics Mechanical Engineering Neuroscience Physics
Jurnal Matematika Dan Ilmu Pengetahuan Alam LLDikti Wilayah 1 (JUMPA), provides a forum for publishing the original research articles, review articles from contributors, and the novel technology news related to natural sciences and mathematics research. Scientific articles dealing with fundamental sciences, material sciences, mathematics, materials characterization, etc. are particularly welcome. The journal encompasses research articles, original research report, reviews, short communications and scientific commentaries in fundamental sciences and mathematics including: fundamental sciences, fundamental physics, fundamental chemistry, fundamental biology, mathematics, applied sciences, Physics, applied physics, applied chemistry, Biology, applied biology, Statistics, applied mathematics, Agricultural and Biological Sciences, Chemical and Pharmaceutical Sciences, Computer Science, Materials Science, Physics and Astronomy, Biomedical Engineering and materials characterization, and which are included in the related fields.
Arjuna Subject : Matematika - Ilmu Komputer Teoritis
Articles 31 Documents
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Cutting-edge optimization methods for sustainable and resilient supply chains Fauziah, Sifa; Colicchia, Cagno Stone; Blackhurst, Alcívar; Sihotang, Jonhariono
Jurnal Matematika Dan Ilmu Pengetahuan Alam LLDikti Wilayah 1 (JUMPA) Vol. 41 No. 1 (2024): Mathematics and natural science
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah I Sumatra Utara (LLDikti I)

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Abstract

This research develops a comprehensive multi-objective optimization framework for sustainable and resilient supply chains, integrating cost efficiency, sustainability, and resilience into a unified model. The study advances traditional supply chain optimization, which often prioritizes singular objectives, by presenting a robust mathematical formulation that balances production, transportation, sustainability, and resilience investments. A numerical example demonstrates the model's practical application, highlighting key findings such as the ability to achieve cost efficiency while reducing environmental impact and enhancing supply chain robustness through moderate resilience investments. The research makes significant contributions by introducing a holistic approach to supply chain management, offering a practical tool for decision-makers. However, the model's complexity and reliance on accurate data present implementation challenges. Future research opportunities include incorporating non-linear relationships, applying advanced optimization techniques, and customizing the model for specific industries. This study underscores the importance of an integrated approach to supply chain optimization, providing a foundation for developing supply chains that are efficient, sustainable, and resilient in an increasingly dynamic global environment.

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