000			04646namaa22004451i 4500
003			EG-GICUC
005			20260106092246.0
008			260104s2025 |||a|||frm||| 000 0 eng d
040			_aEG-GICUC _beng _cEG-GICUC _dEG-GICUC _erda
041	0		_aeng _beng _bara
049			_aDeposit
082	0	4	_a658.4034
092			_a658.4034 _221
097			_aM.Sc
099			_aCai01.18.05.M.Sc.2025.Mo.I
100	0		_aMohamed Saied Abd-Allah Hussin, _epreparation.
245	1	3	_aAn intelligent approach for solving inventory problem / _cby Mohamed Saied Abd-Allah Hussin ; Supervised Prof. Esam Aly Amin, Prof.Naglaa Ragaa Saeid Hassan, Dr.Basma Ezzat Hassan.
246	1	5	_aأسلوب ذكي لحل مشكلة مخزون
264		0	_c2025.
300			_a62 Leaves : _billustrations ; _c30 cm. + _eCD.
336			_atext _2rda content
337			_aUnmediated _2rdamedia
338			_avolume _2rdacarrier
502			_aThesis (M.Sc)-Cairo University, 2025.
504			_aBibliography: pages 55-62.
520		3	_aThis 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.
520		3	_aيتعلق 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.
530			_aIssues also as CD.
546			_aText in English and abstract in Arabic & English.
650		0	_aOperations Research
650		0	_aإدارة العمليات
653		1	_aProduction planning _aInventory problem _aneutrosophic numbers _aEconomic order quantity _ainventory management _aمشكلةالمخزون _a الأعدادالفازية
700	0		_aEsam Aly Amin _ethesis advisor.
700	0		_aNaglaa Ragaa Saeid Hassan _ethesis advisor.
700	0		_aBasma Ezzat Hassan _ethesis advisor.
900			_b01-01-2025 _cEsam Aly Amin _cNaglaa Ragaa Saeid Hassan _cBasma Ezzat Hassan _UCairo University _FFaculty of Graduate Studies for Statistical Research _DDepartment of Operations Research & Management
905			_aShimaa
942			_2ddc _cTH _e21 _n0
999			_c177394