Noha Galal

Arab Academy for Science and Technology, Industrial & Management Engineering, Faculty Member

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Address: Alexandria, Egypt

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Esmaeil Keyvanshokooh

University of Michigan

Gunhak Lee

Seoul National University

Alessandro Ancarani

Università di Catania

Università degli Studi "La Sapienza" di Roma

Alev Taskin

Yildiz Technical University

Farah Irfan

IOBM

Fred Glover

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Papers by Noha Galal

Stochastic Dynamic Programming for Three-Echelon Inventory System of Limited Shelf Life Products

MATEC Web of Conferences, 2016

Coordination of inventory decisions within the supply chain is one of the major determinants of i... more Coordination of inventory decisions within the supply chain is one of the major determinants of its competitiveness in the global market. Products with limited shelf life impose additional challenges in managing the inventory across the supply chain because of the additional wastage costs incurred in case of being stored beyond product's useful life. This paper presents a stochastic dynamic programming model for inventory replenishment in a serial multi-echelon distribution supply chain. The model considers uncertain stationary discrete demand at the retailer and zero lead time. The objective is to minimize expected total costs across the supply chain echelons, while maintaining a preset service level. The results illustrate that a cost saving of around 17% is achievable due to coordinating inventory decisions across the supply chain.

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Developing Sustainable Supply Chains in Developing Countries

Procedia CIRP, 2016

Rural electrification using a stand-alone photovoltaic system: Case study of Cameroon

2015 International Conference on Industrial Engineering and Operations Management (IEOM), 2015

Utility-scale solar energy planning for Egypt

2013 World Congress on Sustainable Technologies (WCST), 2013

Multi-Criteria Layout Problem in a Fuzzy Environment via Genetic Algorithms

This paper presents a fuzzy approach to the multi-criteria layout problem. T the objective is to ... more This paper presents a fuzzy approach to the multi-criteria layout problem. T the objective is to model the uncertainties inherent in the model inputs. These arise in the modern production environment due to demand fluctuations, varying product mix, and the dynamic nature of business. The model used is NP - complete, t herefore, a genetic algorithm (GA) is adopted to

Reverse logistics network design: review of models and solution techniques

Proceedings of the 37th International Conference on Computers and Industrial Engineering, Alexandria, Egypt, Oct 20, 2007

&amp;amp;amp;quot;Numerous reasons exist for products to move back to the manufacturers. Legi... more &amp;amp;amp;quot;Numerous reasons exist for products to move back to the manufacturers. Legislation, environmental consciousness, take-back policy, warranty returns, and economic aspects are some of these reasons. The majority of publications in the field of reverse logistics are case studies. Yet, there is still a need for structuring the field and creating a general framework for the issues involved in reverse logistics. Network design taking the objective of achieving sustainability into consideration is one of the challenges industry is facing recently. The design of the distribution and reverse logistics network has to fulfill the different objectives from the economic, social, and environmental perspective. In addition to the multi-criteria nature of the problem it is characterized by a high degree of uncertainty concerning the quantity, quality, and timing of returned products. In this paper a review of the modeling and solution methodologies in the field of reverse logistics network design is presented and analyzed.&amp;amp;amp;quot;

A Mathematical Programming Approach to the Optimal Sustainable Product Mix for the Process Industry

Sustainability, 2015

The increasing concerns about the environment and the depletion of natural resources are the main... more The increasing concerns about the environment and the depletion of natural resources are the main drivers for the growing interest in sustainability. Manufacturing operations are frequently considered to have an adverse effect on the environment. Hence, the sustainable operation of manufacturing facilities is a vital practice to ensure sustainability. The aim of this paper is to find the optimum product mix of a manufacturing facility to maximize its sustainability. A mixed integer non-linear programming model is developed to specify the product mix in order to maximize a proposed sustainability index (SI) of a manufacturing facility. The sustainability index comprises the economic, environmental and social pillars of sustainability in a weighted form using the analytic hierarchy process (AHP). The model results allow the identification of the prospective improvements of manufacturing sustainability.

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Sustainable recovery network design

In order to achieve sustainability the design of the recovery network has to fulfill the differen... more In order to achieve sustainability the design of the recovery network has to fulfill the different objectives from the economic, social, and environmental perspectives. In this paper a lexicographic integer linear goal programming (ILGP) model is developed to design a multi-commodity recovery network for products of modular structure. The model results in locating facilities in a multi-echelon network and assigning the products to the different end of life (EOL) options.

Design of Sustainable End-of-life Vehicle recovery network in Egypt

Ecological Modelling

This paper presents the design of a sustainable recovery network for End-of-life Vehicles (ELVs) ... more This paper presents the design of a sustainable recovery network for End-of-life Vehicles (ELVs) in Egypt. A lexicographic mixed integer goal programming approach is proposed for modelling the problem. The deliverables of the proposed mathematical model include: locations for the different facilities and the amount to be allocated to the different End of Life (EOL) options.