Model-based investment planning model for stepwise capacity expansions of chemical plants

2008 ◽  
pp. 307-312 ◽  
Author(s):  
Andreas Wiesner ◽  
Martin Schlegel ◽  
Jan Oldenburg ◽  
Lynn Würth ◽  
Ralf Hannemann ◽  
...  
Keyword(s):  
Chemical Plants ◽  
Planning Model ◽  
Investment Planning ◽  
Model Based

A Sewing Line Planning Model Based on RFID Technology

2020 ◽  
Vol 15 (3) ◽  
pp. 1441-1452
Author(s):  
Xiaokang Fu ◽  
Jiangbo Zou ◽  
Chunhua Ju
Keyword(s):  
Planning Model ◽  
Rfid Technology ◽  
Line Planning ◽  
Model Based

Deep Space Relay Resource Planning Model Based on Sliding Time Window

2021 ◽  
Author(s):  
Xin Liu ◽  
Jiangtao Fei ◽  
Shuang Liang ◽  
Pengde Ma ◽  
Xiaoping Li ◽  
...  
Keyword(s):  
Time Window ◽  
Resource Planning ◽  
Planning Model ◽  
Deep Space ◽  
Model Based ◽  
Resource Planning Model

scholarly journals Research on the Modeling and Transition Algorithm of a Novel Wall-Climbing Robot

2011 ◽  
Vol 2-3 ◽  
pp. 340-345
Author(s):  
Zhen Hui Li ◽  
Hong Guang Wang ◽  
Yue Chao Wang ◽  
Ai Hua Liu ◽  
Wei Guang Dong
Keyword(s):  
Finite State Machine ◽  
State Machine ◽  
Logical Reasoning ◽  
Planning Model ◽  
Climbing Robot ◽  
Gait Planning ◽  
Model Based ◽  
Inclined Surfaces ◽  
Hybrid Mechanism ◽  
Finite State

This paper presents a modeling and transition algorithm of a novel wall-climbing robot with biped-wheel hybrid mechanism. In order to realize robot transitions between inclined surfaces, the robot’s locomotion gait is analyzed and a locomotion gait planning model based on Finite State Machine (FSM) is established. Moreover a transition algorithm between inclined surfaces is proposed based on multi-sensors data fusions and logical reasoning networks. The results of simulations and experiments show that the model and algorithm are valid and can be applied for the wall-climbing robot’s transition between the concave surfaces.

scholarly journals A multi-objective route planning model based on genetic algorithm for cuboid surfaces

Automatika ◽  
2018 ◽  
Vol 59 (1) ◽  
pp. 120-130 ◽  
Author(s):  
Gonca Ozmen Koca ◽  
Sengul Dogan ◽  
Hicran Yilmaz
Keyword(s):  
Genetic Algorithm ◽  
Route Planning ◽  
Planning Model ◽  
Multi Objective ◽  
Model Based

Analysis of Power Planning Model Based on Minimizing the Operation and Maintenance Cost

2013 ◽  
Vol 448-453 ◽  
pp. 2681-2686
Author(s):  
Yuan Hong ◽  
Shao Yu Tian ◽  
Zhong Jing Liu ◽  
Fang Chen
Keyword(s):  
Objective Function ◽  
Wind Turbines ◽  
Photovoltaic Cells ◽  
Optimal Solution ◽  
Maintenance Cost ◽  
Particle Swarm Algorithm ◽  
Planning Model ◽  
Model Based ◽  
Operation And Maintenance ◽  
Operation And Maintenance Cost

This paper establishes a power planning model based on minimizing operation and maintenance cost. The model take into account the costs of the wind turbines, photovoltaic cells, batteries, biomass generators, diesel generators, power electronics devices and communications facilities operation and maintenance, credit them in the objective function, and considering some certain constraints, use particle swarm algorithm model, by calculating and, simulating examples , to find the optimal solution, Finally to find the conclusion that to use wind turbines, photovoltaic cells and batteries for electric as much as possible.

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