Open Access
Issue |
MATEC Web Conf.
Volume 401, 2024
21st International Conference on Manufacturing Research (ICMR2024)
|
|
---|---|---|
Article Number | 10002 | |
Number of page(s) | 6 | |
Section | Manufacturing / Engineering Management | |
DOI | https://doi.org/10.1051/matecconf/202440110002 | |
Published online | 27 August 2024 |
- G. Buyukozkan, F. Gocer, Digital supply chain: Literature review and a proposed framework for future research. J. Computers in Industry, 97, 157-177, (2018). [CrossRef] [Google Scholar]
- W. Wilhelm, X. Han, C. Lee, Computational comparison of two formulations for dynamic supply chain reconfiguration with capacity expansion and contraction. J. Computers & Operations Research, 40, 10, 2340-2356, (2013). [CrossRef] [Google Scholar]
- W. Ho, T. Zheng, H. Yildiz, S. Talluri, Supply chain risk management: A literature review. Int. J. Production Research, 53, 16, 5031-5069, (2015). [Google Scholar]
- M. Giannakis, T. Papadopoulos, Supply chain sustainability: A risk management approach. Int. J. Production Economics, 171, 455-470, (2016). [CrossRef] [Google Scholar]
- D. Ivanov, A. Dolgui, B. Sokolov, The impact of digital technology and industry 4.0 on the ripple effect and supply chain risk analytics. Int. J. Production Research, 57, 3, 829-846, (2019). [Google Scholar]
- G. Bressanelli, M. Perona, N. Saccani, Challenges in supply chain redesign for the circular economy: A literature review and a multiple case study. Int. J. Production Research, 57, 23, 7395-7422, (2019). [CrossRef] [Google Scholar]
- T.L. Saaty, M. Sodenkamp, Making decisions in hierarchic and network systems. Int. J. Applied Decision Sciences, 1, 1, 24-79, (2008). [CrossRef] [Google Scholar]
- M. Jaberidoost, L. Olfat, A. Hosseini, A. Kebriaeezadeh, M. Abdollahi, M. Alaeddini, R. Dinarvand, Pharmaceutical supply chain risk assessment in Iran using analytic hierarchy process (AHP) and simple additive weighting (SAW) methods. J. Pharmaceutical Policy and Practice, 8, 1, 9–9, (2015). [CrossRef] [Google Scholar]
- A. Badea, G. Prostean, G. Goncalves, H. Allaoui, Assessing Risk Factors in Collaborative Supply Chain with the Analytic Hierarchy Process (AHP). J. Procedia, Social and Behavioral Sciences, 124, 114–123, (2014). [CrossRef] [Google Scholar]
- S. Saad, R. Bahadori, Logistics capabilities measurement in the fractal supply network. Int. J. Logistics Systems and Management, 36, 2, 252-282, (2020) [Google Scholar]
- K. Govindan, M. Kaliyan, D. Kannan, A.N. Haq, Barriers analysis for green supply chain management implementation in Indian industries using analytic hierarchy process. Int. J. Production Economics, 147, 555–568, (2014). [CrossRef] [Google Scholar]
- Y. Chen, J. Yu, S. Khan, The spatial framework for weight sensitivity analysis in AHP- based multi-criteria decision making. J. Environmental Modelling & Software: With Environment Data News, 48, 129-140, (2013). [CrossRef] [Google Scholar]
- S.M. Saad, D. Ubeywarna, H. Zhang, Supply Network Risk Mitigation-Industry 4.0 Approach. J. Procedia Computer Science, 232, 3206–3215, (2024). [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.