NOLEGEIN-Journal of Operations Research & Management <p><strong>NOLEGEIN-Journal of Operations Research &amp; Management </strong>is a peer reviewed journal and provides a platform to discuss new issues in the area of Decision theory and Operations models . The journal also seeks to advance the quality of research by publishing papers introducing or elaborating on Applications of operations research and Manufacturing &amp; operations theory. It's a biannual journal, started in 2018.</p> en-US [email protected] (Journal Manager) [email protected] (Admin) Sat, 29 Jul 2023 06:28:00 +0000 OJS 60 Drivers and Challenges in Humanitarian logistics <p>As the concept of humanitarian logistics evolves swiftly, the field of study is becoming increasingly popular. This study examines the research on humanitarian logistics to provide readers with a full overview of the subject. In order to successfully complete relief efforts in response to worldwide emergencies such as floods, earthquakes, wars, etc., it is critical to quickly deliver the right amount of goods, people, and financial resources to the locations required. This paper reveals how humanitarian logistics and supply chains play a key role in this regard. Effective distribution of humanitarian relief is a problem that is becoming more crucial in the context of disaster management as the frequency, severity, and impact of natural and man-made disasters rise.</p> Umesh Bhardwaj Copyright (c) 2023 NOLEGEIN-Journal of Operations Research & Management Sun, 30 Jul 2023 00:00:00 +0000 Marketing Research: Challenges and Opportunities in India <p>The creation of new products is essential to the expansion and prosperity of every manufacturing<br />company. When many newly released items, both locally and internationally, fail, one must make<br />critical decisions about product design, development, and management. This paper reveals the<br />function of marketing research and the challenges and opportunities in the context of India. Indeed,<br />marketing research plays a crucial role in developing an effective marketing plan and successfully<br />launching a product or service, whether domestically or internationally. It helps marketers<br />understand their target customers’ needs, identify opportunities, and develop strategies to capture<br />their attention with a unique value proposition. Marketing research involves different functions like<br />testing markets, surveying, and collecting data, which require both resources and efforts. Marketing<br />research is classified into two types: primary data research and secondary data research. Primary<br />data research involves collecting data specifically for the purpose at hand, and it can be conducted by the business itself or outsourced to a research agency. This data is tailored to the business’s specific requirements. While secondary data research involves collecting and analyzing existing data that was collected before for other reasons. Marketing research involves planning, data collection, data analysis, and the communication of findings to management. It provides valuable information that aids decision-making at every stage of the marketing plan and strategy. In contrast to mature markets, doing marketing research in new markets has unique problems. Political and economic stability are frequently lacking in emerging “growth” markets. They might, however, have a growing public infrastructure that makes it easier to adapt to new technologies. Additional difficulties include regulatory problems, inadequate infrastructure, political turmoil, or corruption in “truly” emerging<br />markets. Software piracy, the existence of significant white and grey markets, and decreased brand<br />loyalty because of price sensitivity can all be influenced by these issues. Due to these distinctions, marketing research in developing nations must adjust to novel, occasionally unexpected problems. It<br />is essential to consider the unique market conditions, cultural factors, regulatory frameworks, and<br />economic landscapes to gather accurate and relevant data for informed decision-making.</p> Dr. Payush Copyright (c) 2023 NOLEGEIN-Journal of Operations Research & Management Thu, 27 Jul 2023 00:00:00 +0000 An Extensive Review and Analysis of Training and Development for Improving Employee Performance <p>The purpose of this study paper is to offer a thorough analysis of how training and development might improve employee performance. By examining existing literature, empirical evidence, and theoretical frameworks, this study explores the significance of training and development programs in improving employee knowledge, skills, motivation, job satisfaction, and overall organizational productivity. Additionally, the research looks into the factors that affect how training, development, and employee performance are related. The findings highlight the positive impact of training and development initiatives, emphasizing their importance for organizations in achieving optimal performance. Discussions include suggestions for creating and putting into place efficient training and development programs, as well as practical consequences for HR professionals.</p> Muhammad Asif Copyright (c) 2023 NOLEGEIN-Journal of Operations Research & Management Thu, 10 Aug 2023 00:00:00 +0000 Using the Big-data concept to create a Financial Risk Management Model <p>With the advent of the era of big data, although enterprises have certain strategic choices in the process of active early warning of financial operational risks, the effect of this early warning method is not obvious due to a lack of understanding. In order to find leading indicators for early warning of<br />financial crises and to control risks as soon as possible, this paper will apply the concept of decision<br />tree algorithms to the construction of a financial risk management model. It will also fully exploit the<br />benefits of big data. The financial risk early warning management system based on the decision tree<br />algorithm can effectively and accurately prevent the financial management risks of enterprises and<br />effectively avoid possible financial management risks in the process of business development. The<br />decision tree method can easily represent the correlation and mutual influence between each stage of decision-making and the overall decision-making when the decision-making problem is multi-stage and multi-level. When using the decision tree algorithm, we should collect data extensively, consult relevant experienced experts and managers, and repeatedly check and modify the probability distribution so as to provide a reliable basis for the financial decision-making of enterprises.</p> Pasha Singh Copyright (c) 2023 NOLEGEIN-Journal of Operations Research & Management Tue, 27 Jun 2023 00:00:00 +0000 Unified Vehicle Distribution System <p>This Research report concludes the idea and finding of a critical problem that could be solved with and easy integration of technology also generating pure revenue to gov.*CRITICAL: To implement this system the major requirements include a minor law change in the motor vehicle act to make it reality.</p> Manoj Maurya Copyright (c) 2023 NOLEGEIN-Journal of Operations Research & Management Sat, 29 Jul 2023 00:00:00 +0000 Operations Research and Management: A Comprehensive Review of Current Trends and Techniques <p>Organizations can boost their efficacy and efficiency by deploying methodologies and operations research (OR). The industry is continually altering, and new approaches and tactics are being devised to tackle the hard situations that organizations must cope with. OR and management techniques can be applied in several areas, including predictive maintenance, inventory management, supply chain optimization, transportation and logistics, and financial management. The benefits of OR and management techniques include reduced costs, improved decision-making processes, and enhanced overall performance. Organizational management can gain from the analytical problem- solving and decision-making process termed as “operations research.” In OR, issues are deconstructed into their simplest types before being mathematically analyzed and then addressed in a sequence of actions. Despite the numerous advantages, there are a variety of obstacles and constraints that must be eradicated to fully exploit the potential of OR and development practices. These challenges include data quality and availability, model complexity, implementation challenges, and model validation. This article offers a thorough overview of the OR and management fields, accentuating the benefits of employing OR experts to assist businesses create more complete data sets, take into account all available options, foresee all potential outcomes, and calculate risk. Additionally, OR can be tailored to certain company procedures or use cases to ascertain the most effective strategies for problem solving. This article also highlights its challenges and outlines the key areas of application.</p> Vidhi Dhyani Copyright (c) 2023 NOLEGEIN-Journal of Operations Research & Management Fri, 05 May 2023 00:00:00 +0000