| Autor: |
Gharehyakheh, Amin, Cantu, Jaime, Rogers, K. Jamie |
| Předmět: |
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| Zdroj: |
Proceedings of the 2017 International Annual Conference of the American Society for Engineering Management; 2017, p1-7, 7p |
| Abstrakt: |
It is vital to have a sustainable supply chain (SSC) to enhance and maintain the organizations competitiveness in the market. Quantitative modeling (QM) techniques are widely used to analysis the behavior of system to ensure organizations will meet their goals. Historically, QM is well-developed technique in sustainable supply chain management (SSCM)''s body of science which was the main encouragement to review papers in which sustainability of supply chain (SC) is quantitatively modeled in the past 10 years. Distribution of QM and sources of uncertainty over the distinct aspects of sustainability were reviewed in this research. The results of this study show that application of QM in SSCM is increasing in recent years, even though, not all QM techniques and sustainability goals are developed enough, and this area of research still needs a quite elevated level of attention in future. Moreover, this review highlighted the impacts of various sources of uncertainty on efficiency of SSCM. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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