Прегледај по Аутор "Kumar, Raman"

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    Cultivating Efficiency: Streamlining Food Delivery Logistics Through Graphical Networks and Eternal m-Certified Domination number
    (Springer, 2024) Jiny D, Mary; G Navamani; Kumar, Raman; Stević, Željko; Karabašević, Darjan; Kumar, Rajender
    The increasing demand for food delivery services driven by technological innovations has led to a surge in online shopping and food ordering. Efficient logistics play a crucial role in connecting customers with restaurants seamlessly. In this context, the practical application of graphical networks is explored in this article to streamline food delivery operations. We introduce a novel parameter eternal m-certified domination number denoted by 𝛾𝑚𝑐𝑒𝑟 ∞ (𝐺), which represents the minimum number of guards needed to handle any sequence of single orders using multiple-guard movements, ensures that the guard arrangement consistently constitutes a certified dominating set. A case study is presented, illustrating how this concept can be employed to de-crease human resources in a food delivery start-up. This research contributes to optimizing food delivery logistics and reducing operational costs, thereby enhancing the efficiency of the food delivery industry.
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    Sustainability Assessment of Energy Storage Technologies Based on Commercialization Viability: MCDM Model
    (MDPI, 2023) Shu, Xiaoyang; Kumar, Raman; Kumar Saha, Rajeev; Dev, Nikhil; Stević, Željko; Sharma, Shubham; Rafighi, Mohammad
    Advances in developed and developing countries are more attributable to growth in industrial activities that directly impact increasing energy demand. Energy availability has been inconsistent globally, necessitating energy storage (ES) for use as per requirement. Various energy storage technologies (ESTs) are available in mechanical, electrochemical, electrical, chemical, and thermal forms to fulfil the energy demand of a user as and when required. The factors responsible for making a commercially viable energy storage product are further being researched for an ecofriendly and optimal solution to store energy for a longer duration. Researchers are employing different strategies to evaluate the energy efficiency of storage technologies. This paper uses the VIKOR technique to analyze ESTs while assigning objective weights with the entropy weights method based on identified energy performance indicators and ranking them according to their commercialization viability. The method helps a consumer choose better ESTs as per their requirement while manufacturers compete with each other to enhance the commercial value of their energy storage products. Sensitivity analysis has been performed to understand the uncertainties, pros, and cons with the limitations and scope of using the decision model and thus taking an informed decision. The analysis of different energy storage technologies has indicated Hydrogen Fuel Cells (HFC) to be impressive and promising for the future.