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Research Paper

Study of operations research in warehouse and logistics

Logistics and warehousing is an important part of an industry. it is required in almost ever industry, few of those being automobile and defense. This paper highlights the methods and the types of logistics as well as it discusses the problems and issues faced. It also mentions and discusses all the methods to minimize cost and how some of the methods can be problematic. Green Logistics are also mentioned as they are quite important in the point of view of CSR activities as well as the environment and the goodwill they protect.

Published by: Sanjana Eswar, Shantanu Maharshi, Shivam Poojari, Shreyas Narain Tyagi, Shrishti Gupta

Author: Sanjana Eswar

Paper ID: V5I5-1288

Paper Status: published

Published: October 21, 2019

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Research Paper

Operations Research in logistics, supply chain management and warehousing in the retail industry

This paper analyses the applications of Operations Research in various forms and techniques in the sector of Retailing, Indian and International. Retailing is the fastest growing sector with a lot of scope for improvement. The expectations of the customers from this sector are very high and so in order to sustain, the firms need to satisfy the demands efficiently. Along with this they also need to maintain their costs and at the same time generate higher revenues. To establish our points, we will be focusing on the few main aspects of Retailing such as Logistics, Supply Chain Management, and Warehousing and thus show how Operations Research techniques like transportation, simulation, the analytical model can be used to decrease costs, hence making more profits and improving efficiency in totality.

Published by: Pushti Jain, Navika Sharma, Yash Radia

Author: Pushti Jain

Paper ID: V5I5-1286

Paper Status: published

Published: October 18, 2019

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Research Paper

Application of Operations Research in the pharmaceutical industry

The flux of pharmaceutical industries has altered a lot over the last 30 years. Innovation is extremely necessary for such industries and this innovation comes from research & development. Operations Research is needed as drugmakers around the world want to manage cost, quality and speed. Maximising the efficiency of production, labour and equipment is an important way for top-quartile drug makers to break out of the pack. The purpose of this research paper is to highlight OR approaches used in the pharmaceutical industry, that are backed by statistics, and observe the changes related to this industry, over the years. We went through qualitative research papers and gathered various mathematical models that link Operations Research with the current happenings of the Pharmaceutical Industry. The paper illustrates the main issues related to optimization in the industry and how science and technology help to overcome them by making the right forecasts and decisions.

Published by: Drisha Jain, Hansel Dias, Hriday Sharma, Hrithik Rathi, Jahnavi Jasani

Author: Drisha Jain

Paper ID: V5I5-1285

Paper Status: published

Published: October 18, 2019

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Review Paper

RFID enаbled Smаrt cаb pаyments

When аttempting to creаte а fully functionаl cаshless pаyment system, one must consider the potentiаl bаse communicаtion softwаre thаt cаn be used to implement the sаme. Of аll probаble cаndidаtes, for cаrd-bаsed trаnsаctions, two cаndidаtes stаnd fаr аbove the rest in terms of efficiency, cost-effectiveness, аnd overаll scope for the future: Rаdio Frequency Identificаtion (RFID) аnd Neаr Field Communicаtion (NFC). NFC is а set of communicаtion protocols thаt enаble two electronic devices to estаblish communicаtion when they аre brought within 4 cm of eаch other. RFID uses electromаgnetic fields to аutomаticаlly identify аnd trаck tаgs аttаched to objects. This tаgs hаve informаtion stored in them previously, thаt hаve been stored electronicаlly.

Published by: Chikoti Akash, Anusha Chaturvedi, Nishanth G., Mounith Reddy, Anisetti Kalyan Rahul, Akarsh Gupta, Santhi V.

Author: Chikoti Akash

Paper ID: V5I5-1282

Paper Status: published

Published: October 18, 2019

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Research Paper

An automated prediction system for academic performance

Data analytics has a key role in the educational system and it helps to predict the student’s performance based on academic and non-academic details. Any institution spends huge amount of work to analyze student performance. Accuracy of manual prediction depends on different factors like the relation between the student and teacher, the time spends for the analysis, etc. So prediction with high accuracy requires huge amount of time and mental work. This paper presents a system for student performance analysis and grade prediction. This system greatly helps both the academicians and students. Grade prediction system helps the students to improve their performance and reduce dropout. And academicians can draw a clear picture of each student in the institution by this prediction. This scenario uses a data set consist of 33 features of 382 students. Python Anaconda distribution is the tool used for analysis and prediction. Four classification methods, linear regression, random forest, gradient boosting and logistic regression were used. The result shows that random forest outperforms all other methods inaccuracy. The system also finds the high influential factors and calculates the correlation between the final mark with different features like study time, father occupation and time spent for internet access etc.

Published by: Shahina K. M.

Author: Shahina K. M.

Paper ID: V5I5-1277

Paper Status: published

Published: October 17, 2019

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Research Paper

Hybrid secured data retrieval disruption tolerant network

The sensitive data information leak of on systems has a big threat to system data. Research show that the encryption on files and communications due to human errors is one of the leading causes of information loss. However, finding the exposure of sensitive data information is important due to data transformation in the content. Transformations result in highly unpredictable leak patterns. In this paper, the sequence alignment techniques for detecting data-leak patterns. This algorithm is designed for detecting long and inexact sensitive data patterns. The system has detection accuracy in recognizing data leaks. To demonstrate the high multithreading scalability of the data leak detection method required by a requirement of organization.

Published by: Noorisaba Sheikh

Author: Noorisaba Sheikh

Paper ID: V5I5-1247

Paper Status: published

Published: October 17, 2019

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