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Abdalkareem Jasim,Ghassan Fadhil Smaisim,Abduladheem Turki Jalil,Surendar Aravindhan,Abdullah Hasan Jabbar,Shaymaa Abed Hussein,Muneam Hussein Ali,Muataz S. Alhassan,Yasser Fakri Mustafa Techno-Press 2023 Advances in materials research Vol.12 No.4
In this study, AA1060/Alumina composites were fabricated by combined stir casting and accumulative press bonding (APB). The APB process was repeated up to six press bonding steps at 300Ċ. As the novelty, potential dynamic polarization in 3.5Wt% NaCl solution was used to study the corrosion properties of these composites. The corrosion behavior of these samples was compared and studied with that of the annealed aluminum alloy 1060 and versus the number of APB steps. So, as a result of enhancing influence on the number of APB process, this experimental investigation showed a significant enhancement in the main electrochemical parameters and the inert character of the Alumina particles. Together with Reducing the active zones of the material surfaces could delay the corrosion process. Also, at higher number of steps, the corrosion resistance of composites improved. The sample produced after six number of steps had a low corrosion density in comparison with high corrosion density of annealed specimens. Also, the scanning electron microscopy (SEM), was used to study the corrosion surface of samples.
Mushroom Supply Chain Network Design Using Robust Optimization Approach under Uncertainty
Sen Xie,Akbar Formonov,Abdulqader Abdulrahman Thapit,Mohammed Hayder Alshalal,Mostafa Kamel Shakir Obeis,R. Sivaraman,Abdullah Hasan Jabbar,Purnima Chaudhary,Yasser Fakri Mustafa 대한산업공학회 2022 Industrial Engineeering & Management Systems Vol.21 No.3
Nowadays, attention to sustainable food security and health and the incentive to increase revenue, has led many governments and policymakers to pay special attention to the effective performance of the agricultural supply chain. The positive effects of paying attention to agricultural supply chain management can be easily seen in job creation in urban and rural areas, easy access to the market for agricultural retailers and the appropriate relationship between small and medium businesses. This study examines the complete supply chain network of agricultural products (mushroom industry) in uncertain conditions. The model is presented in the form of two general objectives; the first objective refers to minimizing network costs, and the second objective to minimizing network environmental pollutants. Also, the proposed model is in uncertain conditions, and to overcome the uncertainty model, the optimization approach has been used. Finally, due to the multi-objective nature of the proposed model, the reinforced epsilon-constraint solution approach is used. Simulated data has been utilized to validate the proposed robust model. Given the results, the recycling rate of the consumed compost was above 0.4, demonstrating that applying a closed-loop supply chain network is logical, and establishing a recycling center could be economically justified.
Iskandar MUDA,R. Sivaraman,Sulieman Ibraheem Shelash Al-Hawary,Untung Rahardja,Rusul S. Bader,Deni Kadarsyah,Karrar Shareef Mohsen,Abdullah Hasan Jabbar,Purnima Chaudhary 대한산업공학회 2022 Industrial Engineeering & Management Systems Vol.21 No.3
In this research, the location of hubs in computer networks is investigated using the whale optimization algorithm. The problem of locating hubs in computer networks is an optimization problem and requires the definition of a suitable fit function. Therefore, the total data transfer time and the cost of creating hubs is used as a fit function. Capacitive hubs increase network availability because hubs have more response capacity than the number of node requests connected to the hubs. In hub location issues, the study seeks to connect the nodes to the nearest hub and create a computer network with the least cost of connecting the nodes to the hubs. The present study attempts to reduce disruptions in computer networks as a research innovation. Therefore, by using the whale optimization algorithm and solving the model with its help, the effective factors that affect computer network disruptions and examining the effect of each are identified. Given the results, the model’s reaction in terms of time and cost led to an increase in temporal and cost parameters.