DETERMINING PURCHASING RE ORDER POINT FOR INVENTORY PROBLEMS AT COMMERCIAL ENVIRONMENTS, USING ARTIFICIAL NEURAL NETWORK'S (ANN)

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JAFARNEJAD AHAMAD; AMOOZAD MAHDIRAJ HANNAN; AMOOZADEH JAVAD

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Paper Information

Journal: JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES Year:2011 | Volume:9 | Issue:22 Page(s): 1-21

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Information Journal Paper

Title

DETERMINING PURCHASING RE ORDER POINT FOR INVENTORY PROBLEMS AT COMMERCIAL ENVIRONMENTS, USING ARTIFICIAL NEURAL NETWORK'S (ANN)

Author(s)

JAFARNEJAD AHAMAD | AMOOZAD MAHDIRAJ HANNAN | AMOOZADEH JAVAD | Issue Writer Certificate

Keywords

ARTIFICIAL NEURAL NETWORKS(ANN)Q2

WAREHOUSINGQ2

ORDER LEAD TIMEQ2

RE ORDER POINT (ROP)Q3

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 defenitions 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, specially 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.

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APA: Copy

JAFARNEJAD, AHAMAD, AMOOZAD MAHDIRAJ, HANNAN, & AMOOZADEH, JAVAD. (2011). DETERMINING PURCHASING RE ORDER POINT FOR INVENTORY PROBLEMS AT COMMERCIAL ENVIRONMENTS, USING ARTIFICIAL NEURAL NETWORK'S (ANN). JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES, 9(22), 1-21. SID. https://sid.ir/paper/213199/en

Vancouver: Copy

JAFARNEJAD AHAMAD, AMOOZAD MAHDIRAJ HANNAN, AMOOZADEH JAVAD. DETERMINING PURCHASING RE ORDER POINT FOR INVENTORY PROBLEMS AT COMMERCIAL ENVIRONMENTS, USING ARTIFICIAL NEURAL NETWORK'S (ANN). JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES[Internet]. 2011;9(22):1-21. Available from: https://sid.ir/paper/213199/en

IEEE: Copy

AHAMAD JAFARNEJAD, HANNAN AMOOZAD MAHDIRAJ, and JAVAD AMOOZADEH, “DETERMINING PURCHASING RE ORDER POINT FOR INVENTORY PROBLEMS AT COMMERCIAL ENVIRONMENTS, USING ARTIFICIAL NEURAL NETWORK'S (ANN),” JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES, vol. 9, no. 22, pp. 1–21, 2011, [Online]. Available: https://sid.ir/paper/213199/en

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