ناشر تخصصی کنفرانس های ایران

لطفا کمی صبر نمایید

Publisher of Iranian Journals and Conference Proceedings

Please waite ..
Publisher of Iranian Journals and Conference Proceedings
Login |Register |Help |عضویت کتابخانه ها
Paper
Title

Identifying and Evaluating Effective Factors in Green Supplier Selection using Association Rules Analysis

Year: 1400
COI: JR_JOIE-14-2_008
Language: EnglishView: 96
This Paper With 11 Page And PDF Format Ready To Download

Buy and Download

با استفاده از پرداخت اینترنتی بسیار سریع و ساده می توانید اصل این Paper را که دارای 11 صفحه است به صورت فایل PDF در اختیار داشته باشید.
آدرس ایمیل خود را در کادر زیر وارد نمایید:

Authors

Mohammad Amin Adibi - Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Nima Esfandyari - Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

Abstract:

Nowadays companies measure suppliers on the basis of a variety of factors and criteria that affect the supplier's selection issue. This paper intended to identify the key effective criteria for selection of green suppliers through an efficient algorithm callediterative process mining or i-PM. Green data were collected first by reviewing the previous studies to identify various environmental criteria. Then, the suppliers were evaluated and ranked on the basis of those criteria. The score table derived for the green criteria was one of the inputs to the algorithm. Moreover, membership functions and minimum support values ​​were specified for each criterion as another input to the algorithm. The supplier ranking index was also obtained based on the score assigned to supplier's performance. Then, the hidden relationships between data were discovered and association rules were achieved and analyzed to identify the most important green criterion for selecting green suppliers.

Keywords:

Supplier selection , Association Rules Analysis , Iterative Process Mining Algorithm , fuzzy logic

Paper COI Code

This Paper COI Code is JR_JOIE-14-2_008. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1170502/

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Adibi, Mohammad Amin and Esfandyari, Nima,1400,Identifying and Evaluating Effective Factors in Green Supplier Selection using Association Rules Analysis,https://civilica.com/doc/1170502

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :

  • Adibi, M. A., & Shahrabi, J. (2015). Online anomaly detection ...
  • Alinezhad, A., Adibi, M. A., & Tohidi, A. (2019). Classification ...
  • Chang, B., & Hung, H. F. (2010). A study of ...
  • Chen, C. H., Lan, G. C., Hong, T. P., & ...
  • Chen, L. Y., & Wang, T. C. (2009). Optimizing partners’ ...
  • Delgado, M., SáNchez, D., MartıN-Bautista, M. J., & Vila, M. ...
  • Guo, X., Yuan, Z., & Tian, B. (2009). Supplier selection ...
  • Gupta, S., Soni, U., & Kumar, G. (2019). Green supplier ...
  • Haeri, S. A. S., & Rezaei, J. (2019). A grey-based ...
  • Hong, T. P., & Chen, J. B. (1999). Finding relevant ...
  • Hong, T. P., Lin, K. Y., & Wang, S. L. ...
  • Jain, R., Singh, A. R., Yadav, H. C., & Mishra, ...
  • Kamsu-Foguem, B., Rigal, F., & Mauget, F. (2013). Mining association ...
  • Kumari, R., & Mishra, A. R. (2020). Multi-criteria COPRAS Method ...
  • Lau, H. C., Ho, G. T., Chu, K. F., Ho, ...
  • Lau, H. C., Ho, G. T., Zhao, Y., & Chung, ...
  • Lee, A. H., Kang, H. Y., Hsu, C. F., & ...
  • Lin, R. H., Chuang, C. L., Liou, J. J., & ...
  • Liu, B., Hsu, W., & Ma, Y. (1999, August). Mining ...
  • Manohar, H. L., & Kumar, R. G. (2020). A neural ...
  • Noci, G. (1997). Designing green vendor rating systems for the ...
  • Prosman, E. J., & Sacchi, R. (2018). New environmental supplier ...
  • Sahebjamnia, N., Goodarzian, F., & Hajiaghaei-Keshteli, M. (2020). Optimization of ...
  • Salleb-Aouissi, A., Vrain, C., & Nortet, C. (2007, January). QuantMiner: ...
  • Tsay, Y. J., & Chiang, J. Y. (2005). CBAR: an ...
  • Tseng, M. L., & Chiu, A. S. (2013). Evaluating firm's ...
  • Tuzkaya, G., Ozgen, A., Ozgen, D., & Tuzkaya, U. R. ...
  • Wang, L., Meng, J., Xu, P., & Peng, K. (2018). ...
  • Yeh, W. C., & Chuang, M. C. (2011). Using multi-objective ...
  • Yuan, X. (2017, March). An improved Apriori algorithm for mining ...
  • Research Info Management

    Certificate | Report | من نویسنده این مقاله هستم
    این Paper در بخشهای موضوعی زیر دسته بندی شده است:

    اطلاعات استنادی این Paper را به نرم افزارهای مدیریت اطلاعات علمی و استنادی ارسال نمایید و در تحقیقات خود از آن استفاده نمایید.

    Scientometrics

    The specifications of the publisher center of this Paper are as follows:
    Type of center: Azad University
    Paper count: 10,487
    In the scientometrics section of CIVILICA, you can see the scientific ranking of the Iranian academic and research centers based on the statistics of indexed articles.

    Share this page

    More information about COI

    COI stands for "CIVILICA Object Identifier". COI is the unique code assigned to articles of Iranian conferences and journals when indexing on the CIVILICA citation database.

    The COI is the national code of documents indexed in CIVILICA and is a unique and permanent code. it can always be cited and tracked and assumed as registration confirmation ID.

    Support