An intelligent approach for solving inventory problem / by Mohamed Saied Abd-Allah Hussin ; Supervised Prof. Esam Aly Amin, Prof.Naglaa Ragaa Saeid Hassan, Dr.Basma Ezzat Hassan.

By:

Mohamed Saied Abd-Allah Hussin [preparation.]

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Material type:

TextLanguage: English Summary language: English, Arabic Producer: 2025Description: 62 Leaves : illustrations ; 30 cm. + CDContent type:

text

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Unmediated

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volume

Other title:

أسلوب ذكي لحل مشكلة مخزون [Added title page title]

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DDC classification:

658.4034

Available additional physical forms:

Issues also as CD.

Dissertation note: Thesis (M.Sc)-Cairo University, 2025. Summary: This thesis was addressed the application of intelligent methods, such as fuzzy numbers and neutrosophic set theory to solve inventory management problems in situations of data uncertainty or ambiguity. This was done by examining two different cases, as follows: Case (1): "Solving an Inventory Problem using Fuzzy Numbers" Case (2): "Solving an Inventory Problem using Neutrosophic Numbers" In both of the cases proposed above, the problem is transformed into Crisp numbers so that it can be solved using traditional methods. Thus, the solution is achieved in a manner that ensures maximum accuracy and effectiveness. The results of Case Study (1), " Solving an Inventory Problem using Fuzzy Numbers" were achieved by applying fuzzy numbers to an inventory problem to more accurately represent item levels, taking into account factors such as demand fluctuations, delivery times, and supplier variations. Solving the problem enabled us to obtain more accurate forecasts, facilitating the decision-making process necessary for effective inventory management. Case Study (2) "Solving an Inventory Problem using Neutrosophic Numbers" incorporates neutrosophic numbers into the inventory problem to enable decision makers to effectively understand the complexity and ambiguity inherent in demand patterns. This enables decision makers to make informed decisions regarding order quantities, reserve stock levels, and production scheduling. Incorporating neutrosophic numbers enhances the accuracy and reliability of these decisions, ultimately leading to improved operational efficiency and customer satisfaction.Summary: يتعلق مجال بحوث العمليات بتطبيق الأساليب الرياضية والنماذج التحليلية لحل المشكلات المعقدة المتعلقة بإدارة الأنظمة والتي تشمل الموارد البشرية والآلات والمواد والموارد المالية ...الخ حيث يتم تطبيق اساليب بحوث العمليات على مجالات متعددة مثل تخطيط الإنتاج وإدارة المخزون والجدولة بالإضافة إلى مجالات حيوية أخرى مثل الخدمات الصحية وشبكات الحاسوب وقطاع الأعمال والمؤسسات الحكومية والقطاع العسكري والهندسى مما يجعله أداة أساسية لاتخاذ قرارات قائمة على البيانات لتحسين الكفاءة التشغيلية من خلال توظيف النماذج الرياضية وتقنيات التحليل الكمي بحيث يمكن للمؤسسات تحقيق مستويات أعلى من الكفاءة والفعالية والربحية مما يعزز منقدرتها التنافسية.

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Holdings
Item type	Current library	Home library	Call number	Status	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.18.05.M.Sc.2025.Mo.I (Browse shelf(Opens below))	Not for loan	01010110093054000

Thesis (M.Sc)-Cairo University, 2025.

Bibliography: pages 55-62.

This thesis was addressed the application of intelligent methods, such as fuzzy numbers and neutrosophic set theory to solve inventory management problems in situations of data uncertainty or ambiguity. This was done by examining two different cases, as follows:
Case (1): "Solving an Inventory Problem using Fuzzy Numbers"
Case (2): "Solving an Inventory Problem using Neutrosophic Numbers"
In both of the cases proposed above, the problem is transformed into Crisp numbers so that it can be solved using traditional methods. Thus, the solution is achieved in a manner that ensures maximum accuracy and effectiveness.
The results of Case Study (1), " Solving an Inventory Problem using Fuzzy Numbers" were achieved by applying fuzzy numbers to an inventory problem to more accurately represent item levels, taking into account factors such as demand fluctuations, delivery times, and supplier variations. Solving the problem enabled us to obtain more accurate forecasts, facilitating the decision-making process necessary for effective inventory management.
Case Study (2) "Solving an Inventory Problem using Neutrosophic Numbers" incorporates neutrosophic numbers into the inventory problem to enable decision makers to effectively understand the complexity and ambiguity inherent in demand patterns. This enables decision makers to make informed decisions regarding order quantities, reserve stock levels, and production scheduling. Incorporating neutrosophic numbers enhances the accuracy and reliability of these decisions, ultimately leading to improved operational efficiency and customer satisfaction.

يتعلق مجال بحوث العمليات بتطبيق الأساليب الرياضية والنماذج التحليلية لحل المشكلات المعقدة المتعلقة بإدارة الأنظمة والتي تشمل الموارد البشرية والآلات والمواد والموارد المالية ...الخ حيث يتم تطبيق اساليب بحوث العمليات على مجالات متعددة مثل تخطيط الإنتاج وإدارة المخزون والجدولة بالإضافة إلى مجالات حيوية أخرى مثل الخدمات الصحية وشبكات الحاسوب وقطاع الأعمال والمؤسسات الحكومية والقطاع العسكري والهندسى مما يجعله أداة أساسية لاتخاذ قرارات قائمة على البيانات لتحسين الكفاءة التشغيلية من خلال توظيف النماذج الرياضية وتقنيات التحليل الكمي بحيث يمكن للمؤسسات تحقيق مستويات أعلى من الكفاءة والفعالية والربحية مما يعزز منقدرتها التنافسية.

Issues also as CD.

Text in English and abstract in Arabic & English.

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جامعة القاهرة

المكتبة المركزية الجديدة

مكتبة جامعة القاهرة الأهلية

An intelligent approach for solving inventory problem / by Mohamed Saied Abd-Allah Hussin ; Supervised Prof. Esam Aly Amin, Prof.Naglaa Ragaa Saeid Hassan, Dr.Basma Ezzat Hassan.