Series - 1 [November - 2020]

Paper Title :: Optimizing supplier selection based on price sensibility, lead time and lead time variation
Author Name :: Marco Arias Vargas
Page Number :: 01-07
:: 10.9790/1813-0911010107   

It is especially important for companies worldwide to select the right supplier in their supply chains every time they purchase raw materials or finished goods, in terms of the total cost of products to be sold. The decision of choosing among several supplierswilling to quote the raw materials and the products a company needs, is a decision-making process that becomes complex. The objective of this work is to present an optimization model that considers the price offered, the common lead time, the lead time variation and the weighted average capital cost (WACC) of the goods a company needs to buy in order to determine from which supplier(s) the goods should be purchased.

Keywords - Supplier selection, sensitivity analysis, lead time variation, weighted average capital cost, optimization.

@article{key:article,
author = {Marco Arias Vargas},
title = {Optimizing supplier selection based on price sensibility, lead time and lead time variation},
journal = {The International Journal of Engineering and Science},
year = {2020},
volume = {09},
number = {11},
pages = {01-07},
month = {November}
}
Paper Title :: Digital Image Braille Character Recognition, Extraction& Translation System [DIBCRETS]TACT-EYE
Author Name :: Rushil Shah, Harsh Jha, Rohaan Advani
Page Number :: 08-28
:: 10.9790/1813-0911010828   

Braille is a tactile form of reading and writing for the visually impaired, developed by Louis Braille that uses a system of raised dots.Each Braille "cell' orcharacter contains a combination of up to 6 dots.The paper addresses different approaches used to read, recognize, and translate Braille to English via Optical Dot Recognition algorithms using machine learning and Python. We propose a Digital Image Braille Character Recognition, Extraction & Translation System [DIBCRETS], also known asTACT-EYE,which has been tested and can be used by volunteers at NGOs and other organizations for the blind with limited training.

Keywords - BRAILLE, OPTICAL RECOGNITION, TRANSLATION, MACHINE LEARNING, PYTHON

@article{key:article,
author = {Rushil Shah, Harsh Jha, Rohaan Advani},
title = {Digital Image Braille Character Recognition, Extraction& Translation System [DIBCRETS]TACT-EYE},
journal = {The International Journal of Engineering and Science},
year = {2020},
volume = {09},
number = {11},
pages = {08-28},
month = {November}
}