http://10.9.150.37:8080/dspace//handle/atmiyauni/497 Mon, 27 Apr 2026 18:43:06 GMT 2026-04-27T18:43:06Z http://10.9.150.37:8080/dspace//handle/atmiyauni/2323 Title: Generative AI's Direct and Total Effect on Operational Excellence in Manufacturing: A Systematic Literature Review Authors: Singh, Rupali; Sankhi, Anil; Sikh, Gurmeetsingh H.; Nanavati, Kausumi Sun, 01 Jun 2025 00:00:00 GMT http://10.9.150.37:8080/dspace//handle/atmiyauni/2323 2025-06-01T00:00:00Z http://10.9.150.37:8080/dspace//handle/atmiyauni/2322 Title: Impact of Generative AI on Operational Excellence in Supply Chain Management: A Quantitative Analysis Authors: Singh, Rupali; Sankhi, Anil; Sikh, Gurmeetsingh H.; Nanavati, Kausumi Abstract: This study investigates the transformative impact of Generative Artificial Intelligence (GenAI) on operational excellence within supply chain management (SCM), particularly in manufacturing organizations. As supply chains face increasing complexity and volatility, GenAI offers powerful capabilities to enhance efficiency, agility, and decision-making. Using a quantitative research design, the study compares pre- and post-implementation performance metrics across 100 manufacturing firms. Key areas examined include cost reduction, inventory optimization, production scheduling, and risk mitigation. The analysis employs simple linear regression to test two hypotheses related to GenAI’s influence on operational cost and performance. Results reveal a statistically significant positive relationship between GenAI adoption and operational excellence, with an R-squared value of 0.838 indicating strong predictive power. Organizations that integrated GenAI experienced improvements in lead time reduction, on-time delivery rates, and inventory turnover. The findings support the resource-based view and dynamic capabilities theory, suggesting GenAI as a strategic asset that fosters competitive advantage through enhanced supply chain capabilities. This research contributes to both academic literature and managerial practice by offering empirical evidence on the benefits of GenAI in achieving supply chain excellence. The study also highlights critical success factors and suggests directions for future research in AI-driven supply chain transformation. Sun, 01 Jun 2025 00:00:00 GMT http://10.9.150.37:8080/dspace//handle/atmiyauni/2322 2025-06-01T00:00:00Z http://10.9.150.37:8080/dspace//handle/atmiyauni/2279 Title: Dynamic Virtual Machine Migration using Ratio-based Method Authors: Khachariya, Haresh Damjibhai; Zalavadia, Jayesh N. Abstract: Cloud computing provides various services over the internet and its increasing day by day. Given the growing demands of cloud services, it requires a lot of computing resources to meet customer needs. So, the addition of energy consumption through cloud computing resources will increase day by day and become a key bstacle in the cloud environment. In cloud computing, data centers consume more energy and additionally release carbon dioxide into the atmosphere. To reduce energy consumption through the cloud datacenter, energy-efficient resource management is required. In this paper a specific technique for performing virtual machines through datacenter is given. Our goal is to reduce power consumption on the datacenter by reducing the host running in the cloud datacenter. To reduce power consumption, schedule the incoming task such a way that all the resources like ram, cpu(mips) and bandwidth utilize in equal weightage. Then after if any host is over utilized then migrate one or more vm from that host to another host as well as if any host is underutilize then migrate running vm of that host and switch off the under loaded host to save energy. Wed, 01 Jan 2020 00:00:00 GMT http://10.9.150.37:8080/dspace//handle/atmiyauni/2279 2020-01-01T00:00:00Z http://10.9.150.37:8080/dspace//handle/atmiyauni/2274 Title: Development of Conceptual Framework of Transfer of Training: A Systematic Review Authors: Upadhyay, Priyanka H; Hrudanand, Misr Abstract: Digital age and knowledge era have introduced a paradigm shift in the corporate world. Organizations are experiencing tough competitions in the most dynamic, transforming and complex environment. Survival of an organization heavily depends on the ability of the firm to acquire a competitive advantage, flexibility of the firm to adapt and to respond to the environment with an innovative idea and a product. A company that follows creative and innovative strategies should have the most innovative and enterprising employees. Employees are the valuable assets to any institution and the role of employees in the success of the institution cannot be underestimated. To manage the challenges of today's competitive business climate and to maximize the job performance of the employees, a training program is imperative for all organizations.In this article a conceptual framework is designed which is based on critical reviews of current approaches in studies of transfer of training. This conceptual framework highlights the relationship between transfer of training, training design and its influencing factors for today‟s workplaces. The framework is a scientifically robust framework for transfer of training at variousorganizations. This study is significant in emphasizing the need for appropriate evaluation methods that can assist practitioners to develop transfer of training in a more credible manner. Fri, 01 Jan 2021 00:00:00 GMT http://10.9.150.37:8080/dspace//handle/atmiyauni/2274 2021-01-01T00:00:00Z