An artificial intelligence approach to solve constrained supply chain problem / Taher Taha Zaki ; Supervised Hegazy Mohamed Zaher , Naglaa Ragaa Saeid
Material type: TextLanguage: English Publication details: Cairo : Taher Taha Zaki , 2016Description: 174 Leaves : charts ; 30cmOther title:- اسلوب ذكاء اصطناعى لحل مشكلة سلسلة الامداد ذات القيود [Added title page title]
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Item type | Current library | Home library | Call number | Copy number | Status | Date due | Barcode | |
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Thesis | قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.18.05.Ph.D.2016.Ta.A (Browse shelf(Opens below)) | Not for loan | 01010110070477000 | |||
CD - Rom | مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.18.05.Ph.D.2016.Ta.A (Browse shelf(Opens below)) | 70477.CD | Not for loan | 01020110070477000 |
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Cai01.18.05.Ph.D.2015.Re.O On multi-level programming problems / | Cai01.18.05.Ph.D.2016.Ha.S Study on rough multiobjective transportation problems / | Cai01.18.05.Ph.D.2016.Ha.S Study on rough multiobjective transportation problems / | Cai01.18.05.Ph.D.2016.Ta.A An artificial intelligence approach to solve constrained supply chain problem / | Cai01.18.05.Ph.D.2016.Ta.A An artificial intelligence approach to solve constrained supply chain problem / | Cai01.18.05.Ph.D.2017.Em.I Improved bat algorithm for solving constrained and unconstrained optimization problems / | Cai01.18.05.Ph.D.2017.Em.I Improved bat algorithm for solving constrained and unconstrained optimization problems / |
Thesis (Ph.D.) - Cairo University - Faculty of Institute of Statistical Studies and Research - Department of Operations Research
This thesis, a continuous time optimal control theory for studying dynamic supply chain problem is presented. The research describes two models. The first model is three stages supply chain problem. The second model is a supply chain problem with Weibull distributed deterioration item. This work considers several problems solved by several techniques such as control system, optimal control, genetic algorithm, particle swarm optimization and dynamic programming
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