Renewable energy-focused sustainable supply chain network design: an application in the bioethanol production industry

A SUSTAINABLE MANUFACTURING OPTIMIZATION MODEL FOR IMPERFECT PRODUCTION UNDER CIRCULAR ECONOMY, INFLATION, AND CARBON EMISSION

This study proposes an integrated optimization framework for a sustainable supply chain. It emphasizes circular economy practices and the convergence of carbon emissions regulation. While improving economic efficiency within the footwear industry. This study presents a waste free sustainable supply chain model with a single manufacturer and a single retailer, where the production is not completely perfect. Supply chain management and sustainable business models are closely linked in that the structure of supply networks can influence the concept of the development of the sustainable business model and vice versa. The purpose of this study is to optimize the entire supply chain while encouraging economic feasibility and environmental sustainability.The manufacturer’s process could be improved at converting resources into useful products. Hence, some faulty products are produced during production, which is a different waste. To handle this kind of waste, refurbished the quantity and sold it in the market. The machine wastes some raw material in trimming, grinding, and refining. Keeping the circular economy concept, this collected waste is recycled and reused as a raw material for manufacturing. This study offers a framework for developing a supply chain network that applies circular principles while accounting for inflation to reduce waste. It proposes a method for sustainably producing substances that involves cooperation between manufacturers and stores. The research aims to reduce overall costs through an analytical approach. The sensitivity analysis additionally examines the model’s stability, demonstrating that it is relatively stable. This study examines the use of recycled scrap as a raw material, which has a modest impact on the total production cost.

Techno-Economic Analysis of the Integrated Food Waste Supply Chain for Biopolymer Production and Energy Recovery

Modelling and optimization of solar integrated green hydrogen supply chain management: a genetic approach

The continued growth in energy demand and a pressing need to lower greenhouse gas emissions have shifted the focus toward clean and sustainable energy alternatives. The purpose of this research study is to produce green hydrogen powered by renewable energy sources that reduces the dependency on fossil fuels and supports the transition to a low-carbon energy system. The main goal of this study is to design and optimize a sustainable and cost-effective green hydrogen supply chain network using solar energy and treated wastewater. A mixed-integer linear programming model is designed to minimize the system’s total cost, which consists of installation, production, storage and transportation costs. Financial indicators like net present value, internal rate of return and payback period are evaluated for strategic and investment decision management. A genetic algorithm is used to optimize the total cost of the network by locating the optimum solution. Numerical example reveals that the solar plant installation cost and the green hydrogen plant installation cost are the main contributors to the cost, which account for 64.71% and 32.91%, respectively. Sensitivity analysis highlights that the capital investment and the transport mode significantly influence the total cost. It is found that pipelines are 8.5% economical than compressed hydrogen trucks for long distances. A positive net present value and 18.21 % internal rate of return confirm the financial stability of the proposed supply chain. The proposed framework provides valuable insights for policymakers, planners and industry stakeholders, helping to accelerate hydrogen and support the global framework.

LOGISTICS IN BIOGAS PRODUCTION FROM SWINE PRODUCTION WASTE: AN INTEGRATIVE REVIEW

Biogas produced through the anaerobic digestion of swine manure constitutes a strategic alternative for renewable energy generation, agricultural effluent treatment, and greenhouse gas emission reduction, especially considering that Brazil is the world's fourth-largest producer of pork. The technical and economic feasibility of this production chain depends, however, on its logistical organization, which encompasses everything from manure collection to energy distribution and digestate disposal. This study conducted an integrative literature review on the logistical aspects of swine biogas production. The analysis showed that logistical efficiency related to plant location, transport distance, production scale, and integration among the links of the chain is decisive for the feasibility of projects. The articulation among manure, biodigester, energy, and biofertilizer, under the logic of the circular economy and reverse logistics, represents a promising path toward the sustainability of Brazilian swine farming. It is concluded that technological advances and integrated public policies are necessary to overcome the logistical, economic, and social barriers that still limit the expansion of swine biogas in the country.

Project Planning, Cost Analysis and Construction Management of a Compressed Biogas Plant: A Techno-Managerial Study

The increasing demand for renewable energy and sustainable waste management has accelerated the adoption of Compressed Biogas (CBG) technology in India. Agricultural residues, particularly paddy straw, are generated in large quantities every year and are often disposed of through open-field burning, resulting in severe environmental pollution and greenhouse gas emissions. Establishing commercial-scale CBG plants offers a sustainable solution by converting agricultural waste into clean energy while producing valuable organic fertilizer. However, successful implementation of such projects requires effective project planning, accurate cost estimation, efficient resource management, and systematic construction practices. This research examines the project planning, cost analysis, and construction management aspects of a 21 TPD paddy straw-based Compressed Biogas plant. The study adopts a descriptive and analytical research methodology based on technical data, published literature, industrial practices, and project management principles. Various project management tools, including Work Breakdown Structure (WBS), Critical Path Method (CPM), procurement planning, and risk assessment techniques, have been utilized to evaluate project execution strategies. The financial assessment considers capital investment, operating expenses, revenue generation, and overall project viability. The findings indicate that effective planning and scheduling significantly improve project performance by minimizing delays, optimizing resource utilization, and reducing construction risks. The study also highlights the environmental benefits of CBG production through reduction of crop residue burning, greenhouse gas emissions, and dependence on fossil fuels. The research concludes that commercial-scale CBG plants are technically feasible, environmentally sustainable, and economically attractive when supported by efficient project management and government policies. The study provides practical recommendations for renewable energy developers, EPC contractors, and policymakers involved in future CBG infrastructure development.

Environmental Costs of Supply Chain Inefficiencies in the Indonesian Potato Agro-Industry: A Hybrid Situational Analysis with Life Cycle Assessment

Modern agricultural supply chains often emphasize sophistication over resilience, a strategy that backfires in regulated developing economies. This study investigates the environmental implications of structural mismatches in the Indonesian potato agro-industry, comparing the import-dependent Industrial Stream (Stream A) and the fragmented Local Stream (Stream B). Using a mixed-methods approach combining Situational Analysis and Gate-to-Gate Life Cycle Assessment (LCA), this work identifies the “Inventory Paradox.” Results show that Stream A fails under regulatory pressure, forcing a Make-to-Stock shift where emissions spike to 2,659.99 kg CO₂eq/ton—6.4% higher than the low-tech Stream B (2,500.80 kg CO₂eq). This inefficiency stems from a “double penalty” of cooling loads and material degradation, whereas Stream B benefits from energy-free logistics. To address this, the study proposes an Integrated Circular FSCN as a conceptual model introducing an Intermediate Valorization Center to recycle local tubers. This framework theoretically decouples the industry from import volatility while potentially reducing carbon intensity within the network. Findings suggest that in tropical contexts, circularity and logistics speed determine sustainability more than machine efficiency.