Dr. Sachin Kumar
@kiet.edu
Professor
KIET Group of Institutions, Delhi - NCR, Ghaziabad, AKTU, Lucknow
Dr. Sachin Kumar is a Professor in the Department of Applied Science at KIET Group of institutions, Delhi-NCR, Ghaziabad and have experience of more than 20 Years at KIET itself. Before joining this institute, he has taught in MM (PG) College Modinagar from 02/09/2002 to 28/02/2003. He has published 4 patents, 2 book chapters in addition to this he has published 17 research papers in refereed journals. He has also written 1 book with Pearson publication for engineering students. Presently 2 research scholars are pursuing PhD from AKTU and 1 from BMU Rohtak under his supervision. He has life membership of ISTE, New Delhi and IAENG. He is also member of editorial board of refereed international journals.
EDUCATION
M.Sc. PhD (Mathematics)
RESEARCH, TEACHING, or OTHER INTERESTS
Mathematics, Computational Theory and Mathematics, Management Science and Operations Research, Safety, Risk, Reliability and Quality
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Nimisha, Ashish Prakash, Sachin Kumar, Ashish Arora, and Saurabh Saxena
AIP Publishing
Sanjay Sharma, Anand Tyagi, Sachin Kumar, and Richa Pandey
CRC Press
Vipin Kumar, Monika Rani, and Sachin Kumar
AIP Publishing
Sanjay Sharma, Anand Tyagi, Sachin Kumar, and Priyanka Kaushik
CRC Press
Nitin Kumar Sharma, Sachin Kumar, Pradeep Kumar Yadav, and Ekata Ekata
Horizon Research Publishing Co., Ltd.
Sanjay Sharma, Anand Tyagi, B. B. Verma, and Sachin Kumar
International Forum of Management Scholars
In inventory control models where most of the studies are focused on demand, it is obvious that the profit can only be improved by handling the demand of the items according to the fluctuations and pattern of the market ups and downs. In most of the models, demand is taken as time-dependent, price-dependent, and stock-dependent for one complete cycle of the model, which is not realistic in the case of low- life products with a high rate of deterioration like milk products, vegetables. It is also not possible to fix the demand for such items for the entire cycle of the model. In the current study, we have assumed different demands at the different stage of the model which can help to improve the profit as well as to control the deterioration. We have assumed time-dependent demand from the initial to the end of the stock level, after that we have assumed demand as price dependent which is the key of the current study and a better approach for handling low-life items. For low-life items, production is also a very important key parameter as it can directly affect the profit. Therefore, in the current study, we have assumed production of items as demand dependent and deterioration is taken time-dependent, a shortage is allowed under partial backlogging. The model is validated by taking numerical data along with a real example based on the model.