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Determining Purchasing Re Order Point For Inventory Problems At Commercial Environments, Using Artificial Neural Network’s (ANN)

Authors :
Javad Amoozadeh
Hannan Amoozad Mahdiraji
Ahamad Jafarnejad
Source :
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, Vol 9, Iss 22, Pp 1-21 (2011)
Publication Year :
2011
Publisher :
Allameh Tabataba'i University Press, 2011.

Abstract

By the new developments occurring in technology, management theories, manufacturing and production, and as a result, improvement in products variety, productivity and innovation, all companies and organizations are trying to handle and manage their product in a efficient manner. By identifying new methods in purchasing, warehousing, handling and ordering, all classical processes have lost their applications. These new methods such as Artificial Intelligence (AI) have provided the necessary tools that we need for decision making in specific situations. In this paper, some new definitions in re order point (ROP) have been discussed; in addition we have used Artificial Neural Networks (ANN) for determining re order point for purchasing goods in commercial organizations, especially import companies. For this matter, ANN has been used for decision making in purchasing, and also normal curve has been used for calculating order lead times. In the conclusion, we agreed that our new model has many priorities to its classical kinds.

Details

Language :
Persian
ISSN :
22518029
Volume :
9
Issue :
22
Database :
OpenAIRE
Journal :
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī
Accession number :
edsair.doajarticles..35e3d3dd99d10a4edff87b5f9789b16a