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A Classification Predictive Model to Analyze the Supply Chain Strategies. (2021). Puica, Elena.
In: Informatica Economica.
RePEc:aes:infoec:v:25:y:2021:i:2:p:29-39.

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  1. [1] MB. Arias, S. Bae. Electric vehicle charging demand forecasting model based on big data technologies. Applied Energy. 2016; 183:327-339

  2. [10] O. Khan, M. Christopher, A. Creazza. Aligning product design with the supply chain: A case study. Supply Chain Management: An International Journal. 2012; 17(3):323-336
    Paper not yet in RePEc: Add citation now
  3. [11] J. Leveling, M. Edelbrock, B.Otto. Big data analytics for supply chain management. In: 2014 IEEE International Conference on Industrial Engineering and Engineering Management. IEEE; 9 Dec 2014. pp.918-922
    Paper not yet in RePEc: Add citation now
  4. [12] Y. Li, MA. Thomas, KM. OseiBryson. A snail shell process model for knowledge discovery via data analytics. Decision Support Systems. 2016; 91:1-2
    Paper not yet in RePEc: Add citation now
  5. [13] D. Macbeth, N. Ferguson, G. Neil, & L. Baxter. (1989, November). Not purchasing but supply chain management. Purchasing and Supply Management, 30-32
    Paper not yet in RePEc: Add citation now
  6. [14] S.J. New, (1997). The scope of supply chain management research. Supply Chain Management, 2(1), 15-22.
    Paper not yet in RePEc: Add citation now
  7. [16] GL. Schlegel. Utilizing big data and predictive analytics to manage supply chain risk. The Journal of Business Forecasting. 2014; 33(4):11
    Paper not yet in RePEc: Add citation now
  8. [17] GC. Souza. Supply chain analytics. Business Horizons. 2014;57(5):595-605

  9. [18] NP. Suh, Axiomatic Design: Advances and Applications. New York: Oxford university press; 2001
    Paper not yet in RePEc: Add citation now
  10. [19] P. Trkman, K. McCormack, MP. De Oliveira, MB. Ladeira. The impact of business analytics on supply chain performance. Decision Support Systems. 2010;49(3):318-327
    Paper not yet in RePEc: Add citation now
  11. [2] AB. Ayed, MB. Halima, AM. Alimi. Big data analytics for logistics and transportation. In: 2015 4th International Conference on Advanced Logistics and Transport (ICALT). IEEE; 20 May 2015. pp. 311-316
    Paper not yet in RePEc: Add citation now
  12. [21] MA. Waller and SE. Fawcett (2013b), Click here for a data scientist: big data, predictive analytics, and theory development in the era of a maker movement supply chain, Journal of Business Logistics, Vol. 34 No. 4, pp. 249 – 252.
    Paper not yet in RePEc: Add citation now
  13. [3] A. Balar, N. Malviya, S. Prasad, A. Gangurde. Forecasting consumer behavior with innovative value proposition for organizations using big data analytics. In: 2013 IEEE International Conference on Computational Intelligence and Computing Research. IEEE; 2013. pp. 1-4
    Paper not yet in RePEc: Add citation now
  14. [4] CW. Chase Jr. Using big data to enhance demand-driven forecasting and planning. The Journal of Business Forecasting. 2013;32(2):27
    Paper not yet in RePEc: Add citation now
  15. [5] CIPS. (1997). Supply chain management: Technical services guide. Easton, UK: Chartered Institute of Purchasing & Supply
    Paper not yet in RePEc: Add citation now
  16. [6] K. Compton, & D. Jessop, D. (1995). Dictionary of purchasing & supply. Easton, UK: CIPS.
    Paper not yet in RePEc: Add citation now
  17. [8] H. Hassani, ES. Silva. Forecasting with big data: A review. Annals of Data Science. 2015; 2(1):5-19
    Paper not yet in RePEc: Add citation now
  18. [9] M. Johanson, S. Belenki, J. Jalminger, Fant M, Gjertz M. Big automotive data: Leveraging large volumes of data for knowledge-driven product development. In: 2014 IEEE International Conference on Big Data (Big Data). IEEE; 2014. pp. 736-741
    Paper not yet in RePEc: Add citation now

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    In: Applied Energy.
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    In: Applied Energy.
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    In: Applied Energy.
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    Full description at Econpapers || Download paper

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    In: Applied Energy.
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    Full description at Econpapers || Download paper

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    In: Applied Energy.
    RePEc:eee:appene:v:196:y:2017:i:c:p:238-248.

    Full description at Econpapers || Download paper

  48. Prediction of electric vehicle charging-power demand in realistic urban traffic networks. (2017). Bae, Sungwoo ; Kim, Myungchin ; Arias, Mariz B.
    In: Applied Energy.
    RePEc:eee:appene:v:195:y:2017:i:c:p:738-753.

    Full description at Econpapers || Download paper

  49. Progress of Chinese electric vehicles industrialization in 2015: A review. (2017). Du, Jiuyu ; Ouyang, Danhua.
    In: Applied Energy.
    RePEc:eee:appene:v:188:y:2017:i:c:p:529-546.

    Full description at Econpapers || Download paper

  50. A hybrid electric vehicle market penetration model to identify the best policy mix: A consumer ownership cycle approach. (2016). Lee, Yong Seung ; Shin, Juneseuk ; Kim, Chongman.
    In: Applied Energy.
    RePEc:eee:appene:v:184:y:2016:i:c:p:438-449.

    Full description at Econpapers || Download paper

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