Computational modelling
Eshetu Dadi Gurmu; Boka Kumsa Bole; Purnachandra Rao Koya
Abstract
In this paper, optimal control problem is applied to Human Papillomavirus (HPV) and Herpes Simplex Virus type 2 (HSV-2) coinfection model formulated by a system of ordinary differential equations. Optimal control strategy is employed to study the effect of combining different intervention strategy on ...
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In this paper, optimal control problem is applied to Human Papillomavirus (HPV) and Herpes Simplex Virus type 2 (HSV-2) coinfection model formulated by a system of ordinary differential equations. Optimal control strategy is employed to study the effect of combining different intervention strategy on the transmission dynamics of HPV-HSV-II coinfection diseases. The necessary conditions for the existence of the optimal controls are established using Pontryagin’s Maximum Principle. Optimal control systems were performed with help of Runge-Kutta forward-backward sweep numerical approximation method. Finally, numerical simulation illustrated that a combination of all controls is the most effective strategy to minimize the disease from the community. The results shows that the size of infectious population are minimized by using different control strategies.
Systems and service modeling and simulation
Aniekan Essienubong Ikpe; Ijeoma Camelita Iluobe; Desmond Iria-evbo Imonitie
Abstract
The aim of this study was to analyze the performance of Omotosho Phase II gas turbine power plant for improved performance. To obtain the required output performance of the gas turbine power plant, operation data from years of 2013 to 2016 was collected from Omotosho Phase II gas turbine power plant ...
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The aim of this study was to analyze the performance of Omotosho Phase II gas turbine power plant for improved performance. To obtain the required output performance of the gas turbine power plant, operation data from years of 2013 to 2016 was collected from Omotosho Phase II gas turbine power plant in Ondo State, Nigeria. ASPEN HYSYS 2016 version was used to create two models, with one representing Omotosho Phase II gas turbine power plant with fogging unit incorporated while the other represented the power plant without fogging unit. The data was fed as input variables into the models in ASPEN HYSYS 2016 version which simulated the power plant process Specific Fuel Consumption (SFC) obtained from the power plant simulation when fogging is not incorporated was 0.199 kg/kwh, whereas, SFC of the plant with fogging was 0.179 kg/kwh. Thermal efficiency of 43.93% was obtained from the result of the simulated power plant with fogging system, whereas, thermal efficiency of 39.39% obtained from the result of the simulated power plant without fogging system. Net power of 131 MW was obtained from the simulation of the power plant with fogging system while net power of 117.46 MW was obtained when the plant operates without fogging system installed. For the compressor work, 82 MW/h was obtained from the simulation of the power plant with fogging system, whereas, 112.11 MW/h was obtained from the simulation of the power plant without fogging system. Furthermore, turbine work of 213 MW/h were obtained from the simulation of the power plant operating with fogging system while turbine work of 229.57 MW/h was obtained from the power plant without fogging system. This indicates that the incorporation of fogging system into Omotosho Phase II gas turbine power plant is economically viable in terms of fuel consumption, efficiency, power requirement, and GHG emissions compared to operation of the power plant without fogging system.
Computational modelling
Anisul Islam; Md. Mashrur Islam; Nadim Mahmud
Abstract
Spur gears are the most well-known kind of gears used in hybrid vehicle’s power transmission. They have straight teeth and are mounted on parallel shafts. In some cases, many spur gears are utilized without a moment's delay to make huge rigging decreases. In this paper how stress creates on a spur ...
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Spur gears are the most well-known kind of gears used in hybrid vehicle’s power transmission. They have straight teeth and are mounted on parallel shafts. In some cases, many spur gears are utilized without a moment's delay to make huge rigging decreases. In this paper how stress creates on a spur equip under various conditions and conditions and reenactments of a rigging system (two spur gears) is assessed by Ansys workbench. For this static, the structural and dynamic analysis modeling is utilized. A couple of spurs equip tooth in real life is by and large subjected to two sorts of cyclic stress: Contact stress and twisting stress including bowing fatigue. The two stresses may not accomplish their greatest esteems at a similar purpose of contact fatigue. These sorts of failure can be limited by analysis of the issue amid the outline organize and making appropriate tooth surface profile with legitimate assembling strategies.
Decision analysis and methods
Mahmoud. A. Barghash; Nabeel Al-Mandahawi; N. AbuJbara; R. Al-Abbadi; S. Hussein
Abstract
Cellular manufacturing is an important tool for manufacturing firms which leads to better productivity, focused and specialized manufacturing process. To utilize this important tool, the machines have to be grouped into cells. This work is related to using cellular manufacturing in a pharmaceutical factory ...
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Cellular manufacturing is an important tool for manufacturing firms which leads to better productivity, focused and specialized manufacturing process. To utilize this important tool, the machines have to be grouped into cells. This work is related to using cellular manufacturing in a pharmaceutical factory with alternative routing. This adds more choices in the decision making process and presses for a better tool to make optimal selection. Several objectives may be considered to improve the productivity objectives such as the total number of exits and planning and scheduling robustness related objectives like bottleneck utilization and load balance between and within the alternative routes. Analytical hierarchical process (AHP) is used as a multi-objective decision making process to evaluate the best scenario amongst generated using simulation as a tool for modeling and evaluating the output for each scenario. Three customer case studies were considered with different preferences and the AHP evaluated the best scenario to fit these preferences. The best scenario can vary from one customer preferences to another but for the current system it turned out to be the same choice.
H. Haleh; Mohamad Ebrahim Tayebi Araghi; S. Mohammad Arabzad
Volume 1, Issue 5 , December 2014, , Pages 280-292
Abstract
Automated guided vehicle system (AGVS) is traditionally used in manufacturing and warehousing. Especially, AGVS has many applications in flexible manufacturing system (FMS) (see, e.g., Ganesharajah, Hall, & Sriskandarajah, 1998; Seo & Egbelu, 1999;Vosniakos & Mamalis, (1990). Agents are event-driven ...
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Automated guided vehicle system (AGVS) is traditionally used in manufacturing and warehousing. Especially, AGVS has many applications in flexible manufacturing system (FMS) (see, e.g., Ganesharajah, Hall, & Sriskandarajah, 1998; Seo & Egbelu, 1999;Vosniakos & Mamalis, (1990). Agents are event-driven objects that can integrant in automated manufacturing environments to control certain tasks. In this paper a set of agents (a multi-agent system) is introduced to control an automated manufacturing environment. The studied problem can be modeled as a job shop where the jobs have to transported between machines by AGVs. This article introduces based on a disjunctive graph to modulate the joint scheduling problem and for machines and AGVs scheduling. The objective is to minimize the make span. Some case studies were used to show the effectiveness of simulation in solving these problems
