Assessment on Logistics Outsourcing Risk Based on Rough Set Theory and Unascertained Measure Model

Abstract:

In recent years, logistics outsourcing has gained increasing importance and today is used by a large number of firms across virtually all industries worldwide. However, while logistics outsourcing brings enterprises economic benefits, it also brings in a lot of potential risks. It has an utmost significance to strengthen the identification and assessment of logistics outsourcing risks. The paper applies unascertained measure model to analyze and assess logistics outsourcing risks, which provides a new way to assess the risks of logistics outsourcing and is helpful for enterprises’ decision-making. Lastly, according to analysis results, the paper proposed aversion strategies for logistics outsourcing risks.

• Periodical: Key Engineering Materials (Volumes 439-440)
• Pages: 51-58
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.439-440.51
• Online since: June 2010
• Authors: Hua Jiang, Shuang Lin Zhao
• Keywords: Countermeasure, Logistics Outsourcing, Risk Assessment, Rough Set Theory (RST), Unascertained Measure Model

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