SHIVRAJ SINGH
@ccsuniversity.ac.in
Professor and Head, Department of Mathematics
CCS UNIVERSITY
Prof. S. R. Singh is professor and Head of the Department of Mathematics Chaudhary Charan Singh University from 2015 to till date. He had been awarded the Saraswati Award, the highest award by the Uttar Pradesh state government for outstanding contribution to higher education in the University category in 2019. He is currently working as a Professor and Head of the department of Chaudhary Charan Singh University Meerut since 5 May 2021.
He is author/co-author of over 350 Research publications in the leading national and international journals (214) and 11 book chapters, 13 books, 61 conference proceeding and awarded patents. He has supervised 19 Ph.D. thesis and 13 M.Phil. projects and sponsored 4 R & D projects from Government and Organizations.
Prof. S.R. Singh became Vice-President of Operations Research Society of India.
He is presently Convener of several committees CCS University, Meerut and Coordinator of Vedic Mathematics. He is presently member of NCERT Focus Group.
EDUCATION
M.Sc., M. Phil., CCP, Ph. D. NET-JRF-SRF of CSIR, SLET
RESEARCH, TEACHING, or OTHER INTERESTS
Applied Mathematics, Control and Optimization, Modeling and Simulation, Numerical Analysis
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Anupama Sharma, Vipin Kumar, S.R. Singh, and C.B. Gupta
Inderscience Publishers
Vaishali Singh, S. R. Singh, and Surendra Vikram Singh Padiyar
Universal Wiser Publisher Pte. Ltd
In the modern world, waste management, incorporating the quality of the products, energy consumption, and environmental concern have become significant challenges for supply chain managers. Also, smart devices are essential for daily life in the current socioeconomic environment, and customers primarily contemplate a smart product’s price and energy usage before purchasing that. In this situation, to maintain a balance between the selling price, energy consumption, and carbon emission from supply chain operations becomes necessary. So this study develops a twoechelon sustainable inventory model for deteriorating items with an imperfect production process under energy consumption and selling price dependent demand. The producer makes a rework process and quality improvement investment to mitigate defective products and enhance the quality of the products. The present model develops under the influence of inflation. Also, preservation and green technologies are used to mitigate the rate of deterioration and carbon emission, respectively. Firstly, the model is created in a crisp sense, and then expanded into a fuzzy learning model to examine the impact of the learning effect in an imprecise environment. A numerical analysis is performed to validate the proposed model, and the cost function’s convexity is shown graphically using mathematica software. The result of the proposed model provides significant insights to decision-makers on how to efficiently reduce waste while still minimizing the total cost of the system by investing in high efficiency preservation, quality improvement and green techniques. Also, due to learning in fuzziness, the fuzzy learning model gives the lowest total cost, followed by the fuzzy and crisp model. Finally, for various parameters, a sensitivity analysis is performed to gather valuable observations and management insights.
Nidhi Handa, S. R. Singh, and Chandni Katariya
Springer Science and Business Media LLC
Mohit Rastogi, Shilpy Tayal, and S. R. Singh
Springer Science and Business Media LLC
Sharad Kumar, S.R. Singh, Seema Agarwal, and Dharmendra Yadav
EDP Sciences
Technology improvements in the retail industry influence the buying behaviours of customers. In the retail industry, it has been observed that the selling price of goods and promotional efforts influence a customer’s choice. In the retail sector, the popularity of financing schemes i.e., trade credit offered by suppliers rather than financial institutions has also grown. Taking such a scenario into consideration and with reference to the retail sector, an inventory model has been developed for non-instantaneous deteriorating items. Effect of inflation also incorporated in model. Customers’ demand is affected by the selling price of the product and the retailer’s promotional efforts. During a shortage period, the backlogging rate of demand is considered a function of the waiting period. The retailer can also take advantage of a trade credit facility provided by the supplier. Furthermore, holding cost is time-dependent, and an investment is made to reduce ordering cost. Various theoretical results are obtained that maximize the retailer’s total profit. To gain better managerial insights, sensitive analysis and numerical examples are provided. The results indicate that the retailer’s profit increases as the trade credit period increases. Further, the profit of the retailer increases if the retailer deals in products with a longer non-deteriorating period. Time-dependent holding cost shows a significant impact on the profit of retail. In addition to this, different existing papers in literature show the special case of the current model.
Neha Saxena, Biswajit Sarkar, Hui-Ming Wee, Samuel Reong, S.R. Singh, and Y.L. Hsiao
Elsevier BV
Nidhi Handa, S.R. Singh, and Katariya Chandni
Inderscience Publishers
Rinki Chaudhary, S.R. Singh, and Karuna Rana
Inderscience Publishers
Nidhi Handa, S. R. Singh, and Chandni Katariya
Springer Science and Business Media LLC
Nidhi Handa, S.R. Singh, and Neha Punetha
Inderscience Publishers
Richi Singh, Dharmendra Yadav, S.R. Singh, Ashok Kumar, and Biswajit Sarkar
American Institute of Mathematical Sciences (AIMS)
<abstract><p>Customers' growing concern for environmentally friendly goods and services has created a competitive and environmentally responsible business scenario. This global awareness of a green environment has motivated several researchers and companies to work on reducing carbon emissions and sustainable supply chain management. This study explores a sustainable supply chain system in the context of an imperfect flexible production system with a single manufacturer and multiple competitive retailers. It aims to reduce the carbon footprints of the developed system through uncertain human learning. Three carbon regulation policies are designed to control carbon emissions caused by various supply chain activities. Despite the retailers being competitive in nature, the smart production system with a sustainable supply chain and two-level screening reduces carbon emissions effectively with maximum profit. Obtained results explore the significance of uncertain human learning, and the total profit of the system increases to 0.039% and 2.23%, respectively. A comparative study of the model under different carbon regulatory policies shows a successful reduction in carbon emissions (beyond 20%), which meets the motive of this research.</p></abstract>
Dharmendra Yadav, S.R. Singh, and Manisha Sarin
Inderscience Publishers
S.V. Singh Padiyar, Naveen Bhagat, S.R. Singh, Neha Punetha, and Himani Dem
Inderscience Publishers
S.V. Singh Padiyar, Naveen Bhagat, S.R. Singh, and Neha Punetha
Inderscience Publishers
S.R. Singh and Karuna Rana
Inderscience Publishers
Vandana, Shiv Raj Singh, Mitali Sarkar, and Biswajit Sarkar
MDPI AG
The aim of this study is to examine the learning and forgetting effect on a manufacturer’s production process with volume agility and carbon emission costs. During COVID-19, the learning rate becomes very low, and the forgetting rate becomes very high. That is why, the analysis of the learning and forgetting effects on the production process is very important. This research finds an effect of learning and forgetting on the manufacturer and on reducing the unit manufacturing cost. Here, the production rate is a function of the number of units produced, and it is taken as a decision variable through agile manufacturing. Here, the Weibull deterioration rate is used, and the production process is subject to the learn–forget–learn policy. Here, a carbon emission cost is introduced into the setup/ordering cost, holding cost, and item cost for the manufacturer. The effect of learning and forgetting is analyzed through numerical examples.
Surendra Vikram Singh Padiyar, Vandana, Shiv Raj Singh, Dipti Singh, Mitali Sarkar, Bikash Koli Dey, and Biswajit Sarkar
MDPI AG
A business can be properly managed globally when it is under a supply chain. When it is a global supply chain, inflation has a huge effect on supply chain profit. Another important factor is the deterioration of products. Products can deteriorate during storage or transportation, which badly affects each supply chain player. This study develops a three-echelon supply chain model through which products can be delivered to customers easily. In this model, one producer and multiple buyers are considered, and each buyer has a separate group in which multiple suppliers have been taken. Inflation is also added to the model for inflationary fluctuations. To understand this model in real life, a numerical example is discussed and the total profit from the supply chain is extracted. Sensitivity analysis is also shown at the end of the model to find out the effect on the model due to changes in some parameters that affect this model highly. After developing this model, it was found that if the inflation rate falls, then the total profit will increase continuously. On the contrary, if the inflation rate increases, then, in this situation, the total profit will decrease continuously. At present, vaccine makers’ total profit can support the economy of any country, and in this model, the inflation rate decreases as profit increases.
Nidhi Handa, S. R. Singh, and Neha Punetha
Springer Science and Business Media LLC
S. R. Singh, Dipti Singh, and Monika Rani
AIP Publishing
Karuna Rana, S. R. Singh, and Archit Jain
AIP Publishing
S. R. Singh, Ummeferva, and Vaishali
AIP Publishing
Shilpy Tayal, S. R. Singh, and Abhinav Goyal
AIP Publishing
Akshay Kumar, Archit Jain, and S. R. Singh
AIP Publishing
Surendra Vikram Singh Padiyar, Vandana, Naveen Bhagat, Shiv Raj Singh, and Biswajit Sarkar
EDP Sciences
As the industry environment becomes more competitive, the supply chain management for multi items has become an essential part of the industries. In this paper, a multi-echelon inventory model for deteriorating multi items with imperfect production has been developed under the environment of fuzzy and inflation. A single producer, multi-supplier, and multi-retailer are considered from the integrated point of view. Here, the producer only produces the retailer’s need to have a tremendous advantage and minimum loss. It is observed that the inflation rate is almost uncertain for deteriorating goods in every supply chain. In this paper, the inflation rate is taken as a triangular fuzzy number, and the centroid method is used to defuzzify the profit function. The shortage is not allowed in any part, an imperfect production process is considered, but it is not reworkable in this supply chain. Different inflation rates are considered for additional items because inflation has strained the most vulnerable consumers (the daily wage earners), who mainly demand goods in short and small quantities. This entire model is developed based on the retailer’s demand and due to which, the profit potential is maximized. The central premise of this study is to get maximum benefit by creating a production model for deterioration items. Finally, a numerical example and sensitivity analysis illustrate the present study. It is observed that if the number of shipments taken from the supplier increases during the production period, the total profit increases in crisp and fuzzy. If a positive change occurs in the number of shipments received through the producer to the retailer, then the fuzzy model has positive, but a slight negative change occurs in the crisp model. This paper shows the effect of a joint replenishment policy for multi-item compared with the independent approaches.