Continuous improvement in industrial processes has made efficient internal material transportation critical. This study presents a decision support system for tracking internal transportation vehicles and providing effective inner logistics management. The proposed model includes a barcoding based transportation vehicle tracking system, a forecasting model for daily transportation demands of different buildings and presents a predictive demand-vehicle assignment mathematical model. Results show that the model reduces the operational costs due to vehicle search and vehicle transportation, and material damage costs due to vehicle-material mismatch at a great extent.

This study evaluates the economic efficiency and viability of optimizing hybrid renewable energy systems (HRES) for zero-energy buildings (ZEBs) in remote communities, with a specific focus on Ankara, Turkey, in response to the increasing demand for renewable energy driven by concerns over fossil fuel scarcity, environmental sustainability, and rising conventional energy costs. Using the Hybrid Optimization Model for Multiple Energy Resources (HOMER) program, known for its advanced algorithms that accurately model and optimize hybrid systems by considering factors such as weather data, load profiles, and equipment specifications, we perform a comprehensive techno-economic analysis. We explore five different HRES configurations, combining photovoltaic (PV) panels, wind turbines (WT), diesel generators (DG), and battery storage systems, to determine the most cost-effective and reliable solution for powering approximately 30 rural households. The analysis reveals that the optimal configuration includes 107 kW of PV, three 10 kW WT, a 10 kW DG, and 45 units of 7.15 kWh batteries, demonstrating a net present cost (NPC) of $568,431 and a cost of energy (COE) of $0.257/kWh. This setup achieves significant annual energy production of 165,068 kWh from PV, 96,329 kWh from WT, and 27,100 kWh from DG. This configuration maintains a high state of charge (SoC) in the battery storage, ensuring system stability and extending the battery lifespan. The system's ability to consistently meet load demands with minimal reliance on the DG highlights its superior techno-economic synergy compared to other scenarios. Sensitivity analysis reveals that a doubling of fuel prices increases COE by 14% and NPC by 13%, while a 40% reduction in PV and WT capital costs decreases COE and NPC by approximately 16% and 18%, respectively. Furthermore, declining expenses associated with PV and WT installations emphasize the ongoing affordability of renewable energy solutions. These results provide valuable insights for the deployment of cost-effective and reliable HRES in similar remote locations, contributing to the broader goal of sustainable energy solutions for ZEBs.