Yoga

Scheduling problems play a pivotal role in many of the fields today, such as manufacturing systems, industrial processes, production, etc. The job-shop scheduling problems are categorized as a non-deterministic NP hard problem. It is very complicated to find a better algorithm which can give an optimal solution under a given time constraint. A scheduling can be generally categorized as a set of jobs where each job can have greater than one operation to perform. The main aim of the scheduling would be to resolve the scheduling of the jobs that would minimize a measure of performance. A common measure of performance for dealing with the problems of the scheduling is the makespan of a schedule. Technique for calculating the shop scheduling problem ranges from simple FIFO and SPT to more sophisticated procedures, for instance branch and bound, tabu search, ant colony, genetic algorithm, and many others. The modified version of ABC is parallel ABC (PABC) for solving the JSSP. Projected method basically uses the concept of parallelism for the concept of scheduling.

Parallel Artificial Bee Colony Algorithm for Solving Advance Industrial Productivity Problems

Priya,

Mandal,

Yogesh

2024

The Herding Behavior of Investors in the Indian Financial Market

Singh,

Kumar

2024

The study explores the phenomenon of herding behavior among investors in the Indian financial market with a specific focus on the influence of social media. Herding bias impacts the cognitive functions of the investor by inducing them to take decisions based on the decisions of the crowd. Social media platforms have gained significant popularity, becoming a prominent source of financial information and market sentiment for investors. The study analyses the impact based on the social media messages, news, and discussions on popular platforms. A sample of 215 investors was collected through a questionnaire via Google Form. The respondents were selected through purposive sampling technique. The hypothesis is primarily tested using PLS-SEM. The results of this study indicate that influencer credibility for the investors shows a significant positive impact on herd behaviour. Financial literacy had a detrimental effect on herding but became significant when risk perception was used as a mediator. Lastly, risk perception in isolation also showed a significant impact on herding behaviour.

Growth and Poverty

Ghosh

2024

This study estimates poverty in India across the different states in terms of incidence, depth, and severity by using different rounds of household level unit data provided by the National Sample Survey Office (NSSO). In this study, the authors have estimated the different measures of both absolute and relative poverty, such as the poverty rate, depth, and severity of poverty across the 22 major states of India, separately for the rural and urban regions. Apart from this, the authors have made a regression analysis to estimate the growth elasticity of poverty (GEP) in India. The panel regression analysis has been carried out over the five rounds of the NSSO, i.e., the 50th (1993-94), 55th (1999-2000), 61st (2004-05), 66th (2009-10), and the 68th rounds. The analysis showed that the urban sector has a significant GEP. A detailed analysis of poverty creates an environment conducive for the poor to improve their living standards in the future. This research, if made available across all public libraries, will play an important role in that direction.