Document Details

Document Type : Thesis 
Document Title :
Service and Inventory Level Optimization at Ismail Abudawood Trading Company
تحديد المستوى الأمثل للخدمة و المخزون لشركة إسماعيل أبو داود للتجارة
 
Subject : Faculty of Engineering - Department of Industrial Engineering 
Document Language : Arabic 
Abstract : For the past few years, Ismail Abudawood Trading company suffered from the over stocks situation in its inventory levels. The over stock is in the total inventory but at the same time it is facing an out of stock in some of the item levels. In this thesis, the focus is on the supply planning department. The goal of this research is to develop an artificial neural networks forecasting model for inventory items in the company. This will help the company in maintaining optimum inventory levels. Company sales items have been classified using ABC analysis. One or two items were identified for each category. Historical sales data for the selected items were collected for a two year period (July 2007 to June 2009). Then the neural network methodology was applied to build the forecasting model for each item selected from each category. Three different neural networks softwares were used to build and develop models for forecasting. The developed models were used to forecast future monthly sales for the next six months for these items and compared using forecasting accuracy measures. Also, multiple regression models were developed for each item and compared with the neural networks models. The major potential benefit will be the money savings for the company due to accurate forecast which will help in obtaining optimum inventory levels. 
Supervisor : Prof. Mustafa M. Alidrisi 
Thesis Type : Master Thesis 
Publishing Year : 1433 AH
2011 AD 
Added Date : Tuesday, December 27, 2011 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
فيصل يحيى منسيMANSI, FAISAL YAHYAResearcherMaster 

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