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All Journal International Journal of Electrical and Computer Engineering Bulletin of Electrical Engineering and Informatics MUQTASID Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Inovasi : Jurnal Ekonomi, Keuangan, dan Manajemen Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Unri Conference Series: Community Engagement Journal of Applied Data Sciences Journal of English Language and Education Journal of Advanced Sciences and Mathematics Education International Journal of Trends in Mathematics Education Research (IJTMER)
Tulus Tulus
Departemen Matematika, FMIPA Universitas Sumatera Utara
Agriculture, Biological Sciences & Forestry Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Journal : Journal of Applied Data Sciences

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A Data-Driven MINLP Approach for Enhancing Sustainability in Blockchain-Enabled e-Supply Chains Badawi, Afif; Efendi, Syahril; Tulus, Tulus; Mawengkang, Herman
Journal of Applied Data Sciences Vol 6, No 4: December 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i4.889

Abstract

Modern e-supply chains are characterized by increasing complexity and a critical need for enhanced sustainability, transparency, and traceability. Blockchain technology emerges as a significant enabler, offering decentralized, immutable ledgers and smart contracts that can support more secure, verifiable, and environmentally responsible operations through trustworthy data. Despite blockchain's potential, a notable gap exists in the availability of quantitative, data-driven optimization models that rigorously assess the operational and sustainability impacts of its integration into e-supply chains, particularly for complex, non-linear system interactions. This study aims to address this gap by presenting an in-depth analysis of a specific Mixed-Integer Non-Linear Programming (MINLP) optimization model. The goal is to clarify its structure, evaluate its application for an e-supply chain incorporating blockchain features (like transaction costs and conceptual smart contract enforcement for compliance) and sustainability objectives (such as carbon emission reduction), and derive practical insights. The methodology involves a detailed exposition of the MINLP model, followed by its application to a defined e-supply chain scenario. The analytical approach includes computational experiments focusing on a base case analysis to demonstrate model functionality. The broader evaluative framework for this study encompasses benchmarking the model’s performance against a conventional system and conducting sensitivity analyses on key parameters to understand performance trade-offs. The initial base case analysis demonstrates the model's capability to optimize supplier selection and operational plans while adhering to sustainability constraints, such as maintaining carbon emissions at or below 300 kg CO₂ per period, and accounting for blockchain-specific costs like a per-supplier usage fee of 500. The structure of the model and preliminary insights suggest its potential to achieve improved environmental impact compared to conventional systems, balanced against associated blockchain implementation costs. This research provides a detailed examination of a complex MINLP structure, offering a data-driven analytical approach for assessing blockchain's role in sustainable e-supply chains. It furnishes a foundational framework and insights that can guide managerial decisions and strategic planning for industries transitioning towards greener, more transparent, and digitally advanced supply chain operations.
A Data-Driven Mixed Integer Nonlinear Programming Model for Cost-Optimal Scheduling of Perishable Production and Workforce Putri, Mimmy Sari Syah; Mawengkang, Herman; Suwilo, Saib; Tulus, Tulus
Journal of Applied Data Sciences Vol 6, No 4: December 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i4.1019

Abstract

This study presents a data-driven, Mixed Integer Nonlinear Programming (MINLP) framework for optimizing the multi-period production scheduling of perishable products with integrated workforce planning. Its primary novelty is the holistic integration of a continuous exponential decay function for product deterioration with dynamic workforce planning, creating a unified model that optimizes production, inventory, and labor simultaneously. This approach addresses key challenges in perishable inventory systems by treating labor as a controllable resource rather than a fixed constraint. Mathematically, the model includes nonlinear inventory balance equations with decay terms and resource-dependent capacity constraints. The objective is to minimize total operational cost, comprising production, holding, and spoilage costs. Computational experiments, based on a realistic case study, demonstrate that the proposed model reduces total system cost by 6.2% and spoilage costs by 43.2% compared to a standard heuristic benchmark. The resulting production and labor schedules align closely with demand fluctuations, supporting both economic and operational efficiency. This unified framework advances the mathematical modeling of sustainable production planning and offers a practical tool for real-world industries such as food processing and pharmaceuticals.
Co-Authors Abdul Aziz Ahmad Ameilia Zuliyanti Siregar Andrew Satria Lubis Aunurrahman Aunurrahman Badawi, Afif Bambang Trisakti Budhiarti Nababan, Erna Christian Sinaga, Christian Christy, Claudia Dahlan, Hesti Destanul Aulia, SKM., MBA., M.Ec., Ph.D Dewi, Rafiqa Efendi, Syahril Elviwani Freddy Sutanto Halida Halida Herman Mawengkang Indera Sakti Nasution Irvan J.L. Marpaung Jonathan Liviera Marpaung Liana Liana M.R. Syahputra Mahidin Mahidin Mardiningsih Mardiningsih Marpaung, Nicholas Marpaung, Rony Genevent Melinda Melinda Meutia Nauly Muhammad Zarlis, Muhammad Muhibbuddin Muhibbuddin Muhibuddin Muhibuddin, Muhibuddin Mulya, Hadi Nababan, Junerdi Nabiyah, Ismi Ratin Nasrul Arahman Nasrul Nasrul Nurzainah Ginting Panjaitan, Nismah Putri, Mimmy Sari Syah Ramli, Ichwana Rivaldi Sidabutar Rony Marpaung Saib Suwilo Saib Suwilo Salim, Opim Sawaluddin Nasution Sawaluddin Sawaluddin, Sawaluddin Siregar, Netti Herlina Suharno Suharno Sulastri Sulastri Suriati Syahputra, Indra Edy Syamsul Arifin T.J. Marpaung Wigati, Ndaru Zakarias Situmorang Zulkifli Nasution