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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Matta, P., Tayal, A. (2017). Supplier Performance Evaluation for Manufacturing Industries: Re-exploring with Big Data Analysis. In: Singh, M., Gupta, P., Tyagi, V., Sharma, A., Ören, T., Grosky, W. (eds) Advances in Computing and Data Sciences. ICACDS 2016. Communications in Computer and Information Science, vol 721. Springer, Singapore. https://doi.org/10.1007/978-981-10-5427-3_53
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DOI: https://doi.org/10.1007/978-981-10-5427-3_53
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