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Saade Abdalkareem Jasim,Muneam Hussein Ali,Zaid Hameed Mahmood,Mohammad Rudiansyah,Forat H. Alsultany,Yasser Fakri Mustafa,Montather F. Ramadan,Aravindhan Surendar 대한금속·재료학회 2022 METALS AND MATERIALS International Vol.28 No.9
This paper aims to indicate the role of alloying composition on the nanomechanical properties of metallic glasses (MGs). Forthis purpose, the molecular dynamics simulation of nanoindentation process was performed for a wide range of Cu–Zr glassycompositions. The results indicated that the yielding event enhanced with the rise of Cu content; however, there existed anoptimized composition for the maximum hardening effect in the system. The investigation on the evolution of shear bandsalso showed that the formation of pile-ups around the indentation site and the propagation of dominant shear bands into theglassy structure occurred in the Cu-rich MGs. On the other side, the increase in Zr content led to the creation of a net-likeshear arrangement under the indented site. Moreover, the Voronoi tessellation analysis indicated that the decreasing/increasingrate of polyhedron types during the indenting process strongly relied on the alloying compositions.
Ahmad Kultur Hia,Akhmetova Gulmira,Nurpeiis Gulshat Sakenkyzy,Kenzhegaliyeva Zita,Muneam Hussein Ali,Ghaffar Ahmad Hussein,A. Heri Iswanto,Dedy Achmad Kurniady,Dani Hidayatuloh 대한산업공학회 2022 Industrial Engineeering & Management Systems Vol.21 No.2
Reliability is referred to as quality over time and one of the dimensions of quality. Improving product reliability is one of the major concerns in manufacturing and service processes that can be achieved by applying statistical process control. Statistical control chart is a process monitoring tool that is widely used in the manufacturing industry and can be used to monitor the failure process. The development of control charts for this purpose is one of the topics of interest to researchers in the field of reliability. However, research in this area has been limited to the development of control charts for separate monitoring of statistical indicators. In the present study, a new control chart will be proposed to monitor failure times and product reliability. The purpose of this chart is to simultaneously monitor various parameters of failure time distribution. For this purpose, in this research, normal distribution and normal log are investigated
Multi-objective Mathematical Modeling for Scheduling Machines in Parallel with Batch Processors
Evy Segarawati Ampry,Aan Komariah,Dedy Achmad Kurniady,Muhammad Rafiq,Asep Priatna,Muneam Hussein Ali,Haydar Abdulameer Marhoon,Lakshmi Thangavelu,Purnima Chaudhary 대한산업공학회 2022 Industrial Engineeering & Management Systems Vol.21 No.2
In this paper, the problem of scheduling the production of unrelated parallel machines to simultaneously minimize the goals of production time span, early and late fines, and the cost of purchasing machines is investigated, and a two-objective mathematical model is considered considering clearance and preparation times and limit capacity. Due to faster and cheaper operations with batch processors and increasing the efficiency of operating systems, all machines are batch processors. Initially, the model is coded and executed using the exact method in GAMS software. Due to the hard-NP nature and complex nature of the problem, a multi-objective meta-heuristic algorithm based on the coordination search method is proposed and designed. Then Taguchi method is used to find the best level for the algorithm parameters, and two examples of problems in different dimensions of tasks and machines are presented and solved by this proposed algorithm. The results of the calculations show the efficiency of this algorithm to generate more solutions at a much lower solution time.
A Multi-Objective Mathematical Model for the Population-Based Transportation Network Planning
Supat Chupradit,Mohammad A. Tashtoush,Mohammed Yousif Oudah Al-Muttar,Trias Mahmudiono,Ngakan Ketut Acwin Dwijendra,Purnima Chaudhary,Muneam Hussein Ali,Ahmed Alkhayyat,Dr. Sutarto 대한산업공학회 2022 Industrial Engineeering & Management Systems Vol.21 No.2
The current article introduces a three-objective model for the problem of location, allocation, and routing, taking into account the travel times depending on the population on the route. Objective functions include minimizing the total network transit time, maximizing travel attractiveness for travel applicants, and balanced allocation of travel appli-cants to each service area. In this research, a general form of the proposed three-objective mathematical planning model is formulated. The proposed model seeks to select a suitable place or places as places of service, allocate people or vehicles in each area to these places and determine the transportation route of each person or vehicle in each area to reach the service provider in question. Getting a direct impact of random factors and population flow on the random travel times of each bow so that all three goals are met simultaneously. The cuckoo optimization algorithm is developed to solve this model. A sample problem is also examined to show the validity and behavior of the proposed model. The numerical results indicate the high performance of the cuckoo optimization algorithm.
Application of Experimental Design in Optimizing Fuel Station Queuing System
Ngakan Ketut Acwin Dwijendra,Irina Vaslavskaya,Natalia Vladimirovna Skvortsova,Tatyana Pavlovna Rakhlis,Untung Rahardja,Muneam Hussein Ali,A. Heri Iswanto,Lakshmi Thangavelu,Mustafa M. Kadhim 대한산업공학회 2022 Industrial Engineeering & Management Systems Vol.21 No.2
This paper investigates the 224 active fuel stations to find thee optimal distribution system. This research aims to de-sign a model based on simulation to optimize the queuing system and fuel station sales. This study combines simula-tions and experimental design techniques that lead to a predictable and experimental model for optimizing the system and performance of a fuel station by considering two perspectives of queue length and sales rate. Initially, the fuel station was simulated using Arena software. After simulating the fuel station system, we tried to optimize the station's performance using the design of experiments and response level methodology (RSM). The results obtained from the optimal model indicate that the results lead to improved system performance. The fuel station queue is studied
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.
Alim Al Ayub Ahmed,Mohammed Yousif Oudah Al-Muttar,Gunawan Widjaja,Bulatenko Mariya Andreyevna,Trias Mahmudiono,Aditya Halim Perdana Kusuma Putra,Muneam Hussein Ali,A. Heri Iswanto,Skm Mars,Irman Suhe 대한산업공학회 2022 Industrial Engineeering & Management Systems Vol.21 No.2
In this research, the problem of location-hierarchical allocation of crowded facilities has been investigated by consid-ering customers’ priority in serving within the framework of queuing systems. The objective functions of the problem are focused on minimizing the total waiting time of customers and minimizing the maximum unemployment of each facility. The problem model is a multi-objective nonlinear programming model, and to evaluate the efficiency of the model, examples in different dimensions have been solved by a multi-objective genetic algorithm (NSGA-II) based on minimal sorting. Since the performance of meta-heuristic algorithms is highly dependent on their parameters, the parameters of this algorithm are adjusted using the Taguchi design. The results show that the establishment of the priority system has reduced the average waiting time of all customers compared to the shift system, so it can be concluded that if in designing hierarchical facilities, the goal is to reduce the waiting time of a particular class of customers, they should Prioritize.