Om Prakash
N I T Sikkim, Indian Institute of Technology Kharagpur, Sikkim National Institute of Technology
0000-0002-6534-2840
About
Dr. Om Prakash received his M.Sc. from Banaras
Hindu University, India in 2007. He received his Ph.D. from Indian Institute
of Technology Kharagpur, India in
2013. His area of research is Production Planning and Inventory Control, Stock Market. He has published articles
in International Journal of System science, International Journal of Operational Research, International Journal of Procurement Management, Physica A: Statistical Mechanics and its Applications, Chaos: An Interdisciplinary Journal of Nonlinear Science, International Journal of Inventory Research etc.
He is currently working as Assistant professor -(Grade I)
Department of Mathematics,
National Institute of Technology Sikkim. India
He has the following experience
22.12.2022 – (Present): Assistant Professor -Grade I
31.12.2015 –21-12-2022: Assistant Professor -Grade II
12.07.2013–30.12.2015: Assistant Professor (ad-hoc)
Employment
-
N I T Sikkim Assistant Professor2013 - Present
Education
-
Indian Institute of Technology Kharagpur PhD2013 - Present
-
Sikkim National Institute of Technology Assistant Professor2012 - Present
Projects & Funding
Projects & funding information is unavailable.
Publications (9)
- High-frequency stock market order transitions during the US–China trade war 2018: A discrete-time Markov chain analysis Save
- Manufacturing inventory model with random demand and finite production rate under two levels of trade credit finance Save
- Manufacturing System with Discrete Random Demand under Two Level of Trade Credit Finance Save
- Statistical properties of the aftershocks of stock market crashes revisited: Analysis based on the 1987 crash, financial-crisis-2008 and COVID-19 pandemic Save
- Modeling and analysis of the effect of COVID-19 on the stock price: V and L-shape recovery Save
- Characteristics of 2020 stock market crash: The COVID-19 induced extreme event Save
- Stochastic manufacturing system with process deterioration and machine breakdown Save
- Manufacturing inventory model with discrete random machine breakdown and discrete stochastic corrective and preventive repair time Save
- Optimal retailer replenishment decisions in the EPQ model for deteriorating items with two level of trade credit financing Save