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Estimating the On-Time Probability for Vendor Selection Problem

Kumar, Ashish B and Ramachandran, Parthasarthy and Modgil, Girish (2016) Estimating the On-Time Probability for Vendor Selection Problem. In: IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), DEC 04-07, 2016, Bali, INDONESIA, pp. 850-855.

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Official URL: http://dx.doi.org/10.1109/IEEM.2016.7797997


Customers expect fast delivery of products and services. Businesses understand this requirement and focus on efficient supply chains. The vendor selection process, which is complicated due a host of internal and external factors affecting the decision making, is fundamental to an efficient and responsive supply chain. As a selection criterion, the on-time probability for a vendor to supply a part can be used. In this paper, we have applied three quantitative methods, namely logistics regression, discrete time survival analysis and naive Bayes classifier to evaluate a vendor. The mathematical models to estimate the on-time probability, were built and tested on a data set provided by a case company and evaluated with the help of key metrics.

Item Type: Conference Proceedings
Publisher: IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Additional Information: Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre: Division of Interdisciplinary Sciences > Management Studies
Date Deposited: 08 Mar 2017 10:23
Last Modified: 08 Mar 2017 10:23
URI: http://eprints.iisc.ac.in/id/eprint/56318

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