Sandhya Makkar
@sandy.mak
Sr. Assistant Professor
Lal Bahadur Shastri Institute of Management
RESEARCH INTERESTS
Optimizations, Analytics, Machine Learning
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Sandhya Makkar, Tanmay Bajpai, Mohit Bhola, Dandugudum Mahesh, and Geetha Manoharan
AIP Publishing
Sandhya Makkar, Arif Khan, Adit Lal, and Geetha Manoharan
AIP Publishing
Nimish Gulati, Arushi Sethi, Dandugudum Mahesh, Sandhya Makkar, Geetha Manoharan, Megaladevi, and Raghuvaran Palanivel
AIP Publishing
Himanshu Tandon, Shubham Maheshwari, Sandhya Makkar, and Geetha Manoharan
AIP Publishing
Sandhya Makkar and Sneha Jaiswal
Springer Singapore
Ashwini Arun Salunkhe, R. Gobinath, and Sandhya Makkar
Elsevier
U. Sinthuja, S. Thavamani, Sandhya Makkar, R. Gobinath, and E. Gayathiri
Elsevier
Diksha Jain, Sandhya Makkar, Lokesh Jindal, and Mukta Gupta
Springer Singapore
Every successful company gives importance to their human resource management along with Internal Marketing (IM) strategies because they are aware of the gravity of strategic advantage that IM brings to the organization. IM includes various parameters like salary, age, appraisal system, promotion, etc. IM is a new and emerging discipline that enhances the role of an employee within an organization. Researchers and managers believe that it is difficult to measure these parameters due to various reasons. In this study an attempt is made to measure how internal marketing tools basically affect job satisfaction of employees of a logistic firm. Data is collected for various parameters of employee satisfaction and internal marketing. Since Machine Learning (ML) is on the verge of making a considerable impact on workplace communications, a comparative analysis of various ML algorithms are done in this paper to predict the employee satisfaction with precision, accuracy, and recall. The models are then placed sequentially using “Technique for Order Preference by Similarity to Ideal Solution (TOPSIS).” The result of ML models are validated by applying the same on well-known logistics firm, Om Logistics Limited data.
Sandhya Makkar, Arushi Sethi, and Shreya Jain
Springer Singapore
Purpose-Forecasting techniques are used in the real-world system for better decision making. The main purpose of this research paper is to explore the techniques used by retail store chains for variety of products at various store locations by working on a Retail Chain’s dataset. Methodology- A Public Data set of a retail store chain has been taken which has various details regarding the weekly sales. With the help of python, the data is handled, analyzed and model is created and tested. And further used to forecast the future. Finding- Understanding the various techniques used for forecasting multiple products at multiple places and selecting the best technique based on accuracy.
Sandhya Makkar, Ashirwad Kumar Singh, and SwetaSilpa Mohapatra
Springer International Publishing
The Internet of Things (IoT) revolution is overhauling present day human healthcare, and social prospects. It has a variety of application domains, including with promising mechanical, money related health care. This paper presents advances in IoT-based healthcare and surveys the best in structures, applications, and mechanical patterns in IoT-based human services arrangements. Furthermore, this paper dissects IoT security and protection highlights, including security necessities, threat models, from the medicinal services point of view. Further, this paper talks about how extraordinary advancements, for example, enormous information and wearables can be utilized in a medicinal service setting. The examination gives roads to future research on IoT-based health care insurance alongside set of open issues and difficulties. The research is beneficial for the beginners who want to learn IoT & Big data from scratch as well as professionals who are ready o develop applications and devices using IoT. The journey will take from the overview of IoT to applications in healthcare industry.
Vijender Kumar Solanki, Sandhya Makkar, Raghvendra Kumar, and Jyotir Moy Chatterjee
Springer International Publishing
As of late, because of progression of web innovations and instrumentation of all aspects of our life, we have seen an immense flood in information accessible to us. This insurgency is named as Big Data. This Big Data can’t be prepared or overseen by any conventional techniques for handling. This has prompted advancement of a few elite and appropriated shared technologies and programming systems. The outline of such frameworks depends on conveyed registering ideas which are actualized as frameworks, for example, Clusters and Clouds, and Big Data structures, for example, MapReduce and Stream Computing. These frameworks assume a vital part in todays’ market overview, the scholarly community or businesses by giving the preparing of information produced from an assortment of arranged assets, e.g. huge information stores and data storehouses, costly instruments, internet based life, sensors systems, and media administrations for an extensive variety of uses. The measure of information in our reality has been detonating, and examining expansive informational collections supposed huge information will turn into a key premise of rivalry, supporting new rushes of profitability development, advancement, and buyer excess, as per inquire about by MGI and McKinsey’s Business Technology Office. Pioneers in each part should think about the ramifications of huge information, not only a couple of information arranged supervisors. The expanding volume and detail of data caught by undertakings, the ascent of mixed media, web based life, and the Internet of Things will fuel exponential development in information for a long time to come. In this present chapter, we are trying to provide insight about Big Data and its journey towards advanced levels.
Makkar Sandhya and Jha Prakash
National Library of Serbia
A significant issue of the supply chain problem is how to integrate different entities. Managing supply chain is a difficult task because of complex integrations, especially when the products are perishable in nature. Little attention has been paid on ordering specific perishable products jointly in uncertain environment with multiple sources and multiple destinations. In this article, we propose a supply chain coordination model through quantity and freight discount policy for perishable products under uncertain cost and demand information. A case is provided to validate the procedure.
Sandhya Bajaj, P.C. Jha, and K.K. Aggarwal
Inderscience Publishers
Supply chain is the sequence of business processes and activities from suppliers through customers that provide products, services and information to achieve customer satisfaction, i.e., a chain that can quickly respond to customer’s requirement. Integration of different entities in the supply chain is an important way to gain competitive advantage and customer satisfaction as it lowers the supply chain cost. In the present study mathematical models are developed to compute optimal order for integrated inventory-transportation problem with two modes of transportation namely, truck load (TL) and less-than-truckload (LTL) carriers by introducing all unit and incremental quantity discount structure into analysis. Finite planning horizon and dynamic demand is assumed to make ordering decisions. A case is provided to testify and validate the procedure.
Sandhya Makkar, P. C. Jha, and Nisha Arora
Springer India
A supply chain may be considered as a group of organizations, connected by a series of trading relationships. This group covers the logistics and manufacturing activities from raw materials to the final consumer. Each organization in the chain procures and then transforms materials into intermediate/final products, and distributes these to customers. Thus, the supply chain is a network linking and interweaving different supply chains of all the companies involved in a production process. The content of supply chain management with in a firm varies considerably with the type of business. Procurement and distribution of products of any business are the two vital functions. In this paper, an attempt to integrate these two functions is done. It incorporates quantity discounts and freight policies for multi items that are perishable in nature, which are supplied from single source to single destinations under fuzzy environment. It is assumed that, single source or a supplier is offering various discounts on the purchase of quantity and are supplying to a destination. A transporter hired by the buyer also offers different policies to choose on distribution of products, thereby buyer is enticed by dual benefit on procurement as well as distribution. A fuzzy optimization problem is converted to crisp mathematical programming problem using triangular membership function. The problem is solved and a case is presented to validate the model.