University of Wollongong
Browse

Using complex fuzzy sets for strategic cost evaluation in supply chain downstream

Download (148.92 kB)
conference contribution
posted on 2024-11-15, 15:21 authored by Jun Ma, Lipeng Feng, Jie YangJie Yang
Cross-border E-commerce has grown exponentially in the past decade. To gain global competitivity in product-convergent markets, China's over 200 thousands cross-border E-commerce businesses have focused more on the service and cost of supply chain downstream. Therefore, selecting appropriate cost control strategy has marked impact on them. In this study, we evaluated three strategic cost control measures according to 10 evaluation criteria by using a complex fuzzy set based model, named C-COPRAS. The C-COPRAS model is an extension of the COmplex PRoportion ASessment (COPRAS) method. This model uses complex fuzzy set to tackle uncertainty and temporal features in given evaluation context. We then apply this model to a case study of helping a Chinese E-commerce business to select strategic cost control measure on supply chain downstream.

History

Citation

Ma, J., Feng, L. & Yang, J. (2017). Using complex fuzzy sets for strategic cost evaluation in supply chain downstream. 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 440-445). United States: IEEE.

Parent title

IEEE International Conference on Fuzzy Systems

Language

English

RIS ID

116798

Usage metrics

    Categories

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC