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Title

ERP selecting model in Food industry SME s using fuzzy multi-criteria decision-making method

Year: 1395
COI: IIEC13_179
Language: EnglishView: 370
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Authors

Mohsen Dehghandar - Master Student of Information Technology Engineering, Mazandaran University of Science and Technology, Babol, Iran
Babak Shirazi - Assistant Professor of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran
Hamed Fazlollahtabar - Postdoctoral Research Fellow, Sharif University of Technology, Tehran, Iran

Abstract:

Selecting an organizational system is a complex and time consuming process. Considering a systematic and comprehensive policy for selecting an ERP is crucial to the project’s success.. Among the stakes that the organization must overcome prior to commencement and implementation of the project is improper selection of the system. The use of ERP in small and medium-sized organizations is a delicate matter. Fuzzy multi-criteria decision-making procedure can be employed to select the appropriate options according to various criteria and the weight of different conditions in the presence of uncertainty. This study aims to select proper ERP system for Food ERP SME’s company active in production and exporting mushrooms to Persian Gulf district countries (namely Iraq and United Arab Emirates), using fuzzy multi-criteria decision-making method and Shannon entropy technique.

Keywords:

FOOD ERP , SMALL & MEDIUM ENTERPRISES , FUZZY TOPSIS

Paper COI Code

This Paper COI Code is IIEC13_179. 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/648616/

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:
Dehghandar, Mohsen and Shirazi, Babak and Fazlollahtabar, Hamed,1395,ERP selecting model in Food industry SME s using fuzzy multi-criteria decision-making method,13th International Industrial Engineering Conference,Babolsar,https://civilica.com/doc/648616

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Type of center: موسسه غیرانتفاعی
Paper count: 1,294
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