Archives

  • Cover image of Volume 1, Issue 1 (2023) of the Scientific Journal of Research Studies in Future Mechanical Engineering

    Vol. 1 No. 1 (2023)

    This issue presents interdisciplinary research in skill development and entrepreneurship, sustainable supply chain optimization, environmental and geospatial modeling, and advanced energy market planning. The published studies address skill development as a strategic pathway for enhancing employment and entrepreneurship among technical university students and analyze robust sustainable biofuel supply chain optimization under uncertainty conditions.

    The issue further examines spatial distribution modeling of Ferula assa-foetida using Bayesian Belief Networks (BBN) and Support Vector Machines (SVM), and investigates the relationship between seismic data and oil and gas leakage in southern oilfields. A minimum-delay location–routing–inventory model for time-dependent perishable multi-product systems with backup distribution coverage is also proposed.

    Additional contributions evaluate the role of energy-focused non-governmental organizations in fostering sustainable development in the Middle East and introduce a two-stage stochastic programming mechanism for integrating deferrable demand and renewable energy resources within the spinning reserve market, considering energy storage systems and load aggregators.

    All contributions have undergone a rigorous peer-review process and aim to enhance economic efficiency, energy resilience, and intelligent resource management through data-driven and optimization-oriented methodologies.

  • Cover image of Volume 2, Issue 1 (2024) of the Scientific Journal of Research Studies in Future Mechanical Engineering

    Vol. 2 No. 1 (2024)

    This issue presents advanced research in renewable energy systems, advanced materials engineering, intelligent optimization, smart building energy management, data-driven supply chain control, and water infrastructure resilience. The published studies evaluate the operational performance of flat-plate solar collectors enhanced with nanofluids to improve thermal efficiency and analyze the influence of grain-orientation-induced anisotropy on cyclic fatigue behavior in nickel-based alloys produced via selective laser melting, compared with conventionally machined specimens.

    The issue further investigates multi-objective optimization of energy consumption and thermal comfort in smart HVAC systems using metaheuristic algorithms, and assesses adaptive energy management algorithms in smart buildings through data-driven sustainability and operational efficiency metrics.

    Additional contributions examine data-driven prediction and control of the bullwhip effect in multi-echelon supply chains by integrating machine learning with operational transactional data, and evaluate spillway performance and downstream flood risk based on long-term hydrological and structural records.

    All contributions have undergone a rigorous peer-review process and aim to advance energy efficiency, material durability, intelligent system optimization, and infrastructure resilience through interdisciplinary and technology-oriented research.