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Multi_Suppliers Procurement Model with Optimal Service Tailored for Egyptian Industrial Sector
Faculty
Engineering
Year:
2014
Type of Publication:
ZU Hosted
Pages:
2249-9563
Authors:
Boshra Taha Abdallah Abdallah
Staff Zu Site
Abstract In Staff Site
Journal:
International Jornal of Research in Management and technology International Jornal of Research in Management and technology
Volume:
4
Keywords :
Multi_Suppliers Procurement Model with Optimal Service
Abstract:
A constrained mathematical procurement model for Egyptian industrial sector is developed. In order to validate the proposed model, MATLAB toolbox is used. The model is able to calculate the optimal order quantity, the optima cycle service
Author Related Publications
Boshra Taha Abdallah Abdallah, "An integrated production-inventory model with controllable production rates and dynamic price", JSIR, 2019
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Boshra Taha Abdallah Abdallah, "Inventory level policy for an integrated supply chain with time variable demand", JSIR, 2019
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Boshra Taha Abdallah Abdallah, "A multi-product multi-supplier combined inventory and suppliers", IEOM, 2018
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Department Related Publications
Adel Abdelmoaz, "Layout Designs In Cellular Manufacturing", The 8th International Conference of Al-Azhar University, 2004
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Mostafa Abdelsalam Musstafa, "Multi-Echelon Reverse Supply Chain Network Design using New Ant Colony Optimization Algorithms", Inderscience, 2022
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Rafat Hessien Elsayed Elshaer, "Multi-Echelon Reverse Supply Chain Network Design using New Ant Colony Optimization Algorithms", Inderscience, 2022
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Rafat Hessien Elsayed Elshaer, "Mostafa Ashour, Raafat Elshaer, Multi-Echelon Reverse Supply Chain Network Design using New Ant Colony Optimization Algorithms, Int. J. Operational Research, (Accepted paper, 2022).", Inderscience Enterprises, 2022
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Rafat Hessien Elsayed Elshaer, "Hala Ahmed, Mahassen Khater and Raafat Elshaer “New Order-picking Routing Heuristics for Single Block Rectangular Warehouse”, International Journal of Industrial and Systems Engineering, (Accepted paper, 2022).", Inderscience Enterprises, 2022
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