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2017 | OriginalPaper | Chapter

Supplier Performance Evaluation for Manufacturing Industries: Re-exploring with Big Data Analysis

Authors : Purnima Matta, Akash Tayal

Published in: Advances in Computing and Data Sciences

Publisher: Springer Singapore

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Abstract

In the present era of globalization, every industry needs to explore methods for effective supplier selection. This paper re-defines the supplier selection problem in industries as a big-data problem and reviews the pre-existing approaches for supplier ranking. The major focus is on introducing Big-Data for supplier selection problem in industries. The approaches used are majorly looked for its implementation time and importantly, processing big-data in a way to prevent error tendencies and discrepancies in results. This article reviews AHP and PCA-based methods for supplier ranking problem re-defined as a real-time big-data problem. It also proposes further solutions and methodologies for better results.

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Metadata
Title
Supplier Performance Evaluation for Manufacturing Industries: Re-exploring with Big Data Analysis
Authors
Purnima Matta
Akash Tayal
Copyright Year
2017
Publisher
Springer Singapore
Book
Advances in Computing and Data Sciences

Print ISBN: 978-981-10-5426-6

Electronic ISBN: 978-981-10-5427-3

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-5427-3_53

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