Skip to main content
Kent Academic Repository

Supplier ratings and dynamic sourcing strategies to mitigate supply disruption risks

Basu, P, Ghosh, Soumita, Kumar, Milan (2019) Supplier ratings and dynamic sourcing strategies to mitigate supply disruption risks. DECISION, 46 (1). pp. 41-57. ISSN 2197-1722. (doi:10.1007/s40622-019-00204-x) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:92984)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL:
http://dx.doi.org/10.1007/s40622-019-00204-x

Abstract

The selection of a sourcing strategy plays a vital role in managing supply disruptions. The choice regarding the number of suppliers is one of the most important decisions in mitigating supply side risks. In this paper, we analyze single versus dual sourcing strategies of a buying organization in a multi-period setting where the low-cost supplier is exposed to disruption risks. We incorporate supplier ratings based on the performance of the suppliers in a dynamic setting and use them in the sourcing decisions. We develop a stochastic dynamic programming model to formulate the dual-sourcing problem. Our results show that dual sourcing provides maximum cost–benefit under high probability of supply disruption and high-cost differential between the reliable and the unreliable suppliers. The findings of this paper will help supply chain managers formulate optimal sourcing strategies when exposed to supply disruption risks by integrating performance metrics of the suppliers dynamically.

Item Type: Article
DOI/Identification number: 10.1007/s40622-019-00204-x
Uncontrolled keywords: Sourcing strategies Dual sourcing Supply chain risk management Vendor rating Stochastic dynamic programming
Subjects: H Social Sciences
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Preetam Basu
Date Deposited: 31 Jan 2022 12:22 UTC
Last Modified: 03 Feb 2022 18:30 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/92984 (The current URI for this page, for reference purposes)

University of Kent Author Information

  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.