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Alim Al Ayub Ahmed,Majid M. Kharnoob,Ravil Akhmadeev,Andrei Sevbitov,Abduladheem Turki Jalil,Mustafa M. Kadhim,Zahra J. Hansh,Yasser Fakri Mustafa,Irina Akhmadullina 국제구조공학회 2022 Structural Engineering and Mechanics, An Int'l Jou Vol.83 No.4
In this paper, the effect of fire conditions according to ISO 834 standard on the behavior of carbon fibre-reinforced plastic (CFRP) reinforced steel beams coated with gypsum-based mortar has been investigated numerically. To study the efficiency of these beams, 3D coupled temperature-displacement finite element analyzes have been conducted. Mechanical and thermal characteristics of three different parts of composite beams, i.e., steel, CFRP plate, and fireproof coating, were considered as a function of temperature. The interaction between steel and CFRP plate has been simulated employing the adhesion model. The effect of temperature, CFRP plate reinforcement, and the fireproof coating thickness on the deformation of the beams have been analyzed. The results showed that within the first 120 min of fire exposure, increasing the thickness of the fireproof coating from 1 mm to 10 mm reduced the maximum temperature of the outer surface of the steel beam from 380°C to 270°C. This increase in the thickness of the fireproof layer decreased the rate of growth in the temperature of the steel beam by approximately 30%. Besides excellent thermal resistance and gypsum-based mortar, the studied fireproof coating method could provide better fire resistance for steel structures and thus can be applied to building materials.
Multi Project Scheduling and Material Planning Using Lagrangian Relaxation Algorithm
Alim Al Ayub Ahmed,Ngakan Ketut Acwin Dwijendra,Naresh Babu Bynagari,A. K. Modenov,M. Kavitha,Egor Dudukalov 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.4
Resource-constrained project scheduling is one of the well-known problems in project management. There are many cases where the appropriate schedule was determined first and material ordering plan was decided considering the given schedule. This approach ignores the interactions between these decisions. The integration of project scheduling, material procurement, and production planning of non-renewable resources leads to the coordination of project im-plementation and supplying resources. This coordination reduces total costs, including operating activities, produc-tion, ordering, holding, and penalty costs for late project completion. In addition to, there are many organizations that implement the multi project at the same time and decisions are made in a multi project environment. In this paper, a mixed integer programming model is presented for the resource-constrained multi-project scheduling problem and material ordering and production planning. Due to the application of Lagrangian relaxation algorithm in solving com-plex problems, this algorithm has been used to solve the proposed mathematical model. To evaluate the performance of the proposed model and solution method, a set of sample examples is solved and the numerical results are given. The findings of this paper show the good performance of the model and the solution method and can provide managerial insights for project managers and resource suppliers.
A Multi-Objective Optimization Model for Relief Facility Location in Crisis Conditions
Alim Al Ayub Ahmed,Jaenudin,Gunawan Widjaja,John William Grimaldo Guerrero,Mustafa M. Kadhim,Konstantin Kolyazov 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.4
This research was conducted to study the issue of relief facility location hierarchically by consideration of possible road closure during the crisis conditions, road safety, and arrival time of relief facilities under disaster circumstances. High costs are allocated for facilities deployment in a suitable location to meet the demands of injured people. There-fore, location-allocation of emergency facility should be considered in a way to use them for long-term periods. To this end, the extant research designed a multi-objective optimization model to minimize the pre-disaster costs includ-ing costs of facilities deployment and road use, and to minimize the post-disaster costs such as cost transportation in-network roads. Moreover, the innovative part of the studied model in this research examined the road safety and reduction in time taken to have critical facilities in affected areas. To investigate the functional accuracy of the mathematical model, a numerical example with small dimensions was solved using CPLEX Solver, and required sensitivity analysis was described. As the facility location-allocation is an NP-hard issue, two meta-heuristic algorithms were used to solve numerical representations in real dimensions to examine numerical analyses effectively. Results showed that the dragonfly algorithm had the highest efficiency compared to other developed algorithms. The obtained results can be considered as an efficient managerial tool in management organizations involved in the crisis
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.
Alim Al Ayub Ahmed,Dinh Tran Ngoc Huy,Nguyen Dinh Trung,Tawfeeq Alghazali,Abdulhussien N. Alattabi,Hasan Sh. Majdi,Farkad A. Lattieff,Ahmad Syarief Iskandar,Anis Siti Nurrohkayati 대한산업공학회 2022 Industrial Engineeering & Management Systems Vol.21 No.3
There are four general ways to improve reliability. One of the most popular of these solutions is to add surplus com-ponents to the subsystems of a system (known as RRAP) and the reliability-redundancy allocation problem. In a sub-system, how these surplus components are used is of particular importance. How to use surplus components in the subsystem is known as. There are three general strategies for reliability issues known as active, stored, and mixed strategy. The main aim of the study is to create a new formula on the basis of the subsystems that use these two strategies. Model 4 provides a continuous limit of the Markov chain with continuous time. This new formula enables us to perform complex strategy calculations in a very short time and accurately. Finally the exact function obtained for mixed strategy Protective system ultra-fast gas turbine has been tested. Given the results, the new equation decreased the solution time besides the accurate estimation of the system’s reliability.
Dadang Mohamad,Alim Al Ayub Ahmed,Gunawan Widjaja,Tawfeeq Alghazali,John William Grimaldo Guerrero,Irina Fardeeva,Alireza Hasanzadeh Kalajahi 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.4
The problem studied in this paper is the p hub center and the network structure is hierarchical and in three levels; where level one is for demand nodes, level two is for hub nodes, and level three is for central hubs. Central hubs have a complete network and hubs in the network have the capacity constraint. Given that the issue under consideration is for the purpose of transporting perishable goods, Such problems are often used in transportation systems in which customer response time is of great importance and sensitivity; Therefore, the objectives of the proposed model are to find the best location for hubs in the network as well as the best allocation of nodes to hubs so that network transportation costs are reduced and the maximum travel time between each pair of origin destination nodes is minimized. To evaluate the model, a numerical example with CAB dataset is introduced and to review and analyze the results, GAMS software with CPLEX solver is used. The results show that the discount coefficient of central hubs compared to the discount coefficient of second level hubs has the greatest impact on the cost of transportation and travel time.
Optimizing the Issue of Blood Supply Chain Network Design with a Reliability Approach
Anik Yuesti,Paitoon Chetthamrongchai,Alim Al Ayub Ahmed,Vera Anitra,Surendar Aravindhan,Ravil Akhmadeev,Dedy Achmad Kurniady,Clara Neltje Meini Rotinsulu,M. Kavitha 대한산업공학회 2022 Industrial Engineeering & Management Systems Vol.21 No.2
Supply chain network design of a product is one of the primary and strategic measures in supply chain management that plays a vital role in supply chain performance. Since blood is a special commodity and has no substitute, supply chain management and optimization have a special place among researchers. In this research, for the first time, a two-objective nonlinear mixed integer model is presented to help make strategic and operational decisions in the blood supply chain. The first objective function is related to cost minimization and the second objective function is related to supply chain reliability maximization, which is considered as a series-parallel system. To check the validity of the model, a numerical example is solved using GAMS software, then using MOPSO meta-heuristic algorithm, the model is solved in larger dimensions and while comparing the performance criteria of multi-objective algorithms, the results are reviewed.
An Integrated Multi-Objective Approach to Managing Supply Risks in a Flexible Supply Chain
Aceng Muhtaram Mirfani,Dedy Achmad Kurniady,Alim Al Ayub Ahmed,Rustem Adamovich Shichiyakh,Mustafa M. Kadhim,Ali Yaseen Hasan,Mahdi Ghaffari 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.4
Nowadays, it is necessary to paying attention to the opportunities and threats in the field of industry and trade, and evaluate the ability of industries and companies in dealing with uncertainties and existing risks, and it is very im-portant to manage supply chain risk. The main purpose of this study is to be careful against risky suppliers and reduc-ing the injury rate in the event of a disruption. Therefore, in this regard, a multi-stage mixed integer programming model with a proactive approach has been used; that in the first stage, the model reports the amount of supply from suppliers without considering the risk criterion, and at the same time, it seeks to optimal state of minimization the supply chain costs (including purchase cost, shipping, maintenance, supplier selection and return goods). In the second stage, after the suppliers which supplying the parts, have been identified, the model seeks to minimize the identified risks of suppliers under different scenarios. In the third stage, the model tries to achieve an optimal state of supplying the parts from less risky suppliers. In the continuation of this study, an integrated multi-objective programming model has been designed, which will be solved by the epsilon constraint method, and the best output will be reported from the Pareto’s optimal set of answers; Finally the results of the model will be compared in two multi-stage and integrated multi-objective modes and the correctness of the performance is confirmed.
A review of gas sensors based on carbon nanomaterial
Raya Indah,Kzar Hamzah H.,Mahmoud Zaid Hameed,Al Ayub Ahmed Alim,Ibatova Aygul Z.,Kianfar Ehsan 한국탄소학회 2022 Carbon Letters Vol.32 No.2
As a new nanostructure, a graphene is a compound of carbon atoms with a two-dimensional structure that has attracted the attention of many nanoscale researchers due to its novel physical and chemical properties. The presence of all graphene atoms in the surface and its unique electrical properties, as well as the ability to functionalize and combine with another nanomaterial, has introduced graphene as a new and suitable candidate material for gas sensing. Over the years, many researchers have turned their attention to carbon nanomaterial. The unique optical, mechanical, and electronic properties of these nanostructures have led them to use these nanomaterials to develop tiny devices, such as low-consumption sensors. Carbon nanomaterial poses a threat to another nanomaterial in terms of their use in gas sensors. This review article discusses the use of carbon nanoparticles and graphene in gas sensors, examines the nodes in the commercialization pathway of these compounds, and presents the latest achievements. Finally, the perspectives of the challenges and opportunities in the field of sensors based on carbon nanomaterial and graphene are examined.
Design of a Two-tier Supply Chain Based on Integration, Pricing, Routing, and Inventory Control
Aruzhan Jussibaliyeva,Ius Rusnati,Aan Komariah,Aigul Kurmanalina,Nikolay N. Reutov,Gulnar Temirgaliyevna Kunurkulzhaeva,Alim Al Ayub Ahmed,Ravil Akhmadeev,Supat Chupradit 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.4
This paper integrates decisions about the three key components of the supply chain including pricing, routing and inventory control, and multi-product multi-cycle in a two-tier supply chain; includes a manufacturer and a collection of dedicated retailers. In addition to pricing, inventory management and distribution planning, production planning is also considered in the study. The goal is to maximize profits in the supply chain, where products are delivered to retailers by a fleet of limited-capacity identical vehicles under a multiple-delivery strategy. Also, limited production and storage capacity and unauthorized shortages are assumed. The proposed model will then be solved using CPLEX software package in GAMS environment and genetic algorithm in Matlab software to determine the optimal supply chain policy.