Aug 2026· Journal of Renewable Energy and Smart Device· 0 citations· 28 references
Abstract
This study develops an energy- and emission-constrained production-allocation model for North Sumatra to balance economic performance, resource availability, and environmental limits. A quantitative applied-operations-research design used January–December 2025 operational records from 150 medium- and large-scale manufacturing establishments across six subsectors. Provincial totals were estimated using an overall expansion factor of 8.667 as a uniform-factor approximation to the stratified estimator because stratum-specific population weights were unavailable. Multi-objective linear programming with AUGMECON-R compared observed, economic-only, resource-constrained, environmentally constrained, and integrated scenarios. The economic-only solution was projected to increase contribution margin by IDR 3.32 trillion (11.7%) but also increase energy use by 5.18 PJ and greenhouse gas emissions by 0.69 MtCO2e. The integrated solution increased projected contribution margin by IDR 1.65 trillion (5.8%) while reducing raw materials by 6.6%, energy by 12.2%, water by 15.2%, greenhouse gas emissions by 21.2%, solid waste by 21.5%, and wastewater by 21.6%. Production shifted most toward rubber and plastics (+12.4%) and away from non-metallic minerals/fabricated metals (−13.3%).
The Pareto frontier retained 94.7% of the economic-only contribution margin at an 80% combined resource-and-environmental ceiling, declining to 90.5% at 75% and 84.0% at 70%, indicating a sharper trade-off below approximately 75–80%. The study contributes a province-level cross-subsector framework linking production allocation with demand-side energy and emissions benchmarks for industrial efficiency and renewable-energy planning.
Sustainable production planning requires the simultaneous optimization of economic, environmental, and social objectives under conditions where key parameters are not only imprecise but also variably reliable. This study proposes a Z-number-based multi-objective linear programming (Z-MOLP) framework that addresses this...
Aziz Nuriyev, L. Gardashova, G. Aghajanova et al.· Sustainability· 0 citations
This research addresses the optimization of distribution routes to reduce transportation costs in an ice cream company in Chepén, Peru, aligning with Sustainable Development Goal (SDG) 12 (Responsible Production and Consumption). The study employed an applied, quantitative, pre-experimental design with an explanatory s...
Diego Fabián Delgado Arana, Marghorie Alelhy Gonzales Arévalo, L. C. Cruz Salinas· Corporate & Business Strateg...· 0 citations
The paper substantiates a long-term forecast of Russia’s crop production industry to 2030 under resource constraints and heterogeneous producer competitiveness. The industry forecast is formed on the basis of differentiated trajectories of farms in classes A, B and D (an aggregated three- class scheme) and relies on st...
Rural roads are essential for economic development in lower-income countries, yet many upgrading projects receive funding despite generating negative economic returns. This study empirically evaluates four decision-support approaches: condition-based heuristic ranking by International Roughness Index (IRI), multi-crite...
S. Ranasinghe, H. Pasindu, Chamal Perera· Moratuwa Engineering Researc...· 0 citations
With the rapid expansion of global trade, the environmental impacts of port operations have attracted increasing attention. This study develops a mixed-integer programming (MIP) model to identify low-carbon energy mix replacement pathways for yard trucks (YTs), aiming to minimize total cost under low-carbon constraints...
Linlin Zhang, Jun-Hao Lai, Ke Hu et al.· Sustainability· 0 citations
The Indian electric vehicle (EV) industry has moved from an experimental phase to a phase of commercial scale-up, with annual registrations crossing twenty-five lakh units and overall penetration touching approximately 8.5 per cent of total vehicle registrations in FY 2025-26. This growth, however, has not been matched...
Kaveri Dattatray Suryavanshi and Dr. Mungi Ashlesh· International Journal of Adv...· 0 citations
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