Mathematical Model for Allocating Operations by Flow-Line Conveyor System Work Stations

10.12737/4885 ◽  
2014 ◽  
Vol 3 (1) ◽  
pp. 4-6
Author(s):  
Буриков ◽  
Alyeksandr Burikov
Keyword(s):  
Mathematical Model ◽  
Optimal Allocation ◽  
Flow Line ◽  
Parameters Optimization ◽  
Design Flow ◽  
Programming Models ◽  
Conveyor System ◽  
Extremum Problems ◽  
Discrete Programming

The problem of optimal allocation of jobs by work stations of flow-line conveyor system boils down to a class of extremum problems, which, in turn, can be narrowed down to discrete programming models. The paper offers a mathematical model designed to allocate operations for manufacturing certain product by flow-line conveyor work stations. The model is built with due regard to operations procedure limitations and can be used to design flow-line conveyor system for the purpose of parameters optimization.

scholarly journals Engineering Mathematical Analysis Method for Productivity Rate in Linear Arrangement Serial Structure Automated Flow Assembly Line

2015 ◽  
Vol 2015 ◽  
pp. 1-10
Author(s):  
Tan Chan Sin ◽  
Ryspek Usubamatov ◽  
M. A. Fairuz ◽  
Mohd Fidzwan B. Md. Amin Hamzas ◽  
Low Kin Wai
Keyword(s):  
Mathematical Model ◽  
Failure Rate ◽  
Mathematical Analysis ◽  
Assembly Line ◽  
Flow Line ◽  
Analysis Method ◽  
Machining Time ◽  
Linear Arrangement ◽  
Final Assembly ◽  
Productivity Rate

Productivity rate (Q) or production rate is one of the important indicator criteria for industrial engineer to improve the system and finish good output in production or assembly line. Mathematical and statistical analysis method is required to be applied for productivity rate in industry visual overviews of the failure factors and further improvement within the production line especially for automated flow line since it is complicated. Mathematical model of productivity rate in linear arrangement serial structure automated flow line with different failure rate and bottleneck machining time parameters becomes the basic model for this productivity analysis. This paper presents the engineering mathematical analysis method which is applied in an automotive company which possesses automated flow assembly line in final assembly line to produce motorcycle in Malaysia. DCAS engineering and mathematical analysis method that consists of four stages known as data collection, calculation and comparison, analysis, and sustainable improvement is used to analyze productivity in automated flow assembly line based on particular mathematical model. Variety of failure rate that causes loss of productivity and bottleneck machining time is shown specifically in mathematic figure and presents the sustainable solution for productivity improvement for this final assembly automated flow line.

scholarly journals Optimal Allocation of the Irrigation Water Through a Non Linear Mathematical Model

2008 ◽  
Vol 3 (3) ◽  
pp. 191 ◽  
Author(s):  
P. Rubino ◽  
M. Catalano ◽  
R. Rana ◽  
A. Caliandro
Keyword(s):  
Mathematical Model ◽  
Irrigation Water ◽  
Optimal Allocation ◽  
Non Linear

Application of Genetic Algorithm in Cutting Parameter Optimization

2014 ◽  
Vol 1082 ◽  
pp. 138-142
Author(s):  
Li Feng Zhu ◽  
Yan Zhang
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Parameter Optimization ◽  
Cutting Parameters ◽  
Parameters Optimization ◽  
Numerical Control ◽  
Numerical Control Machining ◽  
Factors Affecting ◽  
Cutting Parameter ◽  
Cutting Parameter Optimization

Process parameters optimization is an important problem in numerical control machining, through the analysis of various factors affecting the cutting effect in cutting process, a mathematical model of cutting parameter optimization in NC machining is established and the constraint conditions are also determined in the paper. The article puts forward using genetic algorithm to realize the optimization of mathematical model, and the optimization analysis results are verified in practical processing. The experimental results show that the optimized cutting parameters can satisfy machining requests and improve the cutting efficiency.

scholarly journals Development of a GA-Fuzzy-Immune PID Controller with Incomplete Derivation for Robot Dexterous Hand

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Xin-hua Liu ◽  
Xiao-hu Chen ◽  
Xian-hua Zheng ◽  
Sheng-peng Li ◽  
Zhong-bin Wang
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Pid Controller ◽  
Fuzzy Inference ◽  
Controller Design ◽  
Index Finger ◽  
Parameters Optimization ◽  
Immune Mechanism ◽  
Dexterous Hand ◽  
Incomplete Derivation

In order to improve the performance of robot dexterous hand, a controller based on GA-fuzzy-immune PID was designed. The control system of a robot dexterous hand and mathematical model of an index finger were presented. Moreover, immune mechanism was applied to the controller design and an improved approach through integration of GA and fuzzy inference was proposed to realize parameters’ optimization. Finally, a simulation example was provided and the designed controller was proved ideal.

Water Resource Optimal Allocation Based on Mathematical Model in Manas River Basin, China

2015 ◽  
Vol 12 (12) ◽  
pp. 6278-6281 ◽  
Author(s):  
G Yang ◽  
X. L He ◽  
J. F Li ◽  
C Wang ◽  
L. Q Xue ◽  
...  
Keyword(s):  
Mathematical Model ◽  
River Basin ◽  
Water Resource ◽  
Optimal Allocation ◽  
Manas River Basin

scholarly journals Design of Distributed Reconfigurable Robotics Systems with ReconROS

2022 ◽  
Vol 15 (3) ◽  
pp. 1-20
Author(s):  
Christian Lienen ◽  
Marco Platzner
Keyword(s):  
Operating System ◽  
Energy Efficiency ◽  
High Performance ◽  
Hardware Acceleration ◽  
Design Flow ◽  
Programming Models ◽  
Unique Combination ◽  
Reconfigurable Computers ◽  
Multithreaded Programming ◽  
Robot Operating System

Robotics applications process large amounts of data in real time and require compute platforms that provide high performance and energy efficiency. FPGAs are well suited for many of these applications, but there is a reluctance in the robotics community to use hardware acceleration due to increased design complexity and a lack of consistent programming models across the software/hardware boundary. In this article, we present ReconROS , a framework that integrates the widely used robot operating system (ROS) with ReconOS, which features multithreaded programming of hardware and software threads for reconfigurable computers. This unique combination gives ROS 2 developers the flexibility to transparently accelerate parts of their robotics applications in hardware. We elaborate on the architecture and the design flow for ReconROS and report on a set of experiments that underline the feasibility and flexibility of our approach.

scholarly journals Multi-Parameter Optimization for the Wet Steam Accumulator of a Steam-Powered Catapult

Energies ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 234 ◽  
Author(s):  
Qidan Zhu ◽  
Peng Lu ◽  
Zhibo Yang ◽  
Xun Ji ◽  
Yu Han
Keyword(s):  
Mathematical Model ◽  
Angle Of Attack ◽  
Parameters Optimization ◽  
Power Stroke ◽  
Optimal Parameters ◽  
Multi Objective Optimization ◽  
Wet Steam ◽  
Dynamics Model ◽  
Release Device ◽  
Steam Accumulator

Selecting the optimal parameters for wet steam accumulator of steam-powered catapult is an important task, due to launching safety. There is no literature on the topic of the parameters optimization for wet steam accumulator of steam-powered catapult. The genetic algorithm (GA) was used to determine the optimal wet steam accumulator in this article. The sink-off-the-bow (SOB), angle of attack and rate of climb were used to create the objective function. The multi-objective optimization can be converted to single-objective optimization, which is subject to angle of attack and rate of climb. Moreover, the simulation model of the steam catapult system was built by creating a thermodynamics model of steam-powered catapult, a mathematical model of traction release device, a statics model of tensioning, a statics model of full takeoff power, a mathematical model of catapult force build-up with holdback, a model of release, a dynamics model of power stroke, a dynamics model of free deck run and a dynamics model of fly away. Finally, the optimal combination of the wet steam accumulator was obtained via numerical simulation. The GA method can effectively find the optimal parameters of wet steam accumulator, and its optimized parameters can increase the safety of catapult launch process.

Application of Water Resources System Analysis Method in Optimal Allocation of Water Resources

2013 ◽  
Vol 664 ◽  
pp. 158-163
Author(s):  
Jie Bi
Keyword(s):  
Mathematical Model ◽  
Water Resources ◽  
System Analysis ◽  
Optimal Allocation ◽  
Programming Model ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Fuzzy Membership Function ◽  
Analysis Method ◽  
Water Resources System

Elaborate the optimal allocation of water resources system connotation, significance and the role of the sustainable utilization of water resources. Based on the water resources system analysis, discusses the system analysis method of water resources and the steps and mathematical model, and the linear programming model for the optimal allocation of water resources in the mathematical model, based on the fuzzy mathematics and the theory of multiple objective decision-making, fuzzy comprehensive evaluation combined with analytic hierarchy process, with the set value statistical and fuzzy membership function of indexes are calculated, determine the evaluation matrix, and then constructs a multi objective comprehensive evaluation model, and using computer to realize the optimal allocation of water resources, to provide a scientific basis.

Fracture Parameters Optimization of BZ Oilfield Horizontal Well Integral Fracturing

2013 ◽  
Vol 457-458 ◽  
pp. 692-698
Author(s):  
Wen Jiang Xu ◽  
Yong Quan Hu ◽  
Jin Zhou Zhao ◽  
Zhi Qiang Li
Keyword(s):  
Mathematical Model ◽  
Optimization Design ◽  
Horizontal Well ◽  
Parameters Optimization ◽  
Production Performance ◽  
Oil Well ◽  
Fracture Conductivity ◽  
Fracture Length ◽  
Fracture Parameters ◽  
The Impact

Horizontal well technology has become an important technological means for offshore oilfield exploitation, but at present, most of the fracture parameters optimization of horizontal well fracturing are based on the single wells productivity after fracturing and pay less attention to consider the impact of injection wells.Therefore, aiming at injection and production development mode of BZ oilfield horizontal wells after fracturing, Integral fracturing physical model and productivity forecast mathematical model of horizontal well for the purpose of improving integrated exploitation benefit of the block is established respectively.Combining with reservoir parameters of BZ oilfield, a corresponding numerical simulator is developed by means of solving mathematical model to forecast production performance of oil well with different fracture number, fracture length, fracture conductivity. The best fracture parameters are obtained through analyzing the effect of fracture parameters on accumulative oil production, which provides theoretical foundation for integral fracturing optimization design of horizontal well of BZ oilfields, and has vital site guiding significance.

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