GA Support System to Optimize the Sequence of Multi-level and Multi-tool Operations in CNC Machines

2013 ◽  
Author(s):  
Jaber E. Abu Qudeiri ◽  
Fayiz Y. Abu Khadra ◽  
Abdulrahman Al-Ahmari
Keyword(s):  
Support System ◽  
Cnc Machines ◽  
Multi Level

scholarly journals Enhancing Sustainability and Resilience through Multi-Level Infrastructure Planning

2020 ◽  
Vol 17 (3) ◽  
pp. 962 ◽  
Author(s):  
Jorge Salas ◽  
Víctor Yepes
Keyword(s):  
Adaptive Capacity ◽  
Support System ◽  
Road Network ◽  
Planning Process ◽  
Global Risk ◽  
Top Down ◽  
Multi Objective ◽  
Planning Support ◽  
Planning Support System ◽  
Multi Level

Resilient planning demands not only resilient actions, but also resilient implementation, which promotes adaptive capacity for the attainment of the planned objectives. This requires, in the case of multi-level infrastructure systems, the simultaneous pursuit of bottom-up infrastructure planning for the promotion of adaptive capacity, and of top-down approaches for the achievement of global objectives and the reduction of structural vulnerabilities and imbalances. Though several authors have pointed out the need to balance bottom-up flexibility with top-down hierarchical control for better plan implementation, very few methods have yet been developed with this aim, least of all with a multi-objective perspective. This work addressed this lack by including, for the first time, the mitigation of urban vulnerability, the improvement of road network condition, and the minimization of the economic cost as objectives in a resilient planning process in which both actions and their implementation are planned for a controlled, sustainable development. Building on Urban planning support system (UPSS), a previously developed planning tool, the improved planning support system affords a planning alternative over the Spanish road network, with the best multi-objective balance between optimization, risk, and opportunity. The planning process then formalizes local adaptive capacity as the capacity to vary the selected planning alternative within certain limits, and global risk control as the duties that should be achieved in exchange. Finally, by means of multi-objective optimization, the method reveals the multi-objective trade-offs between local opportunity, global risk, and rights and duties at local scale, thus providing deeper understanding for better informed decision-making.

Mechanism and Implementation of Distributed Workflow for Electric Power Dispatching

2012 ◽  
Vol 263-266 ◽  
pp. 1659-1663
Author(s):  
Yun Liang ◽  
Xu Cheng ◽  
Feng Huang ◽  
Jian Bo Liu
Keyword(s):  
Electric Power ◽  
Support System ◽  
Distributed Processing ◽  
Technological Support ◽  
Operation Mechanism ◽  
Distributed Workflow ◽  
Descriptive Standard ◽  
Multi Level ◽  
Power Dispatching

The workflow of electric power dispatching features many characteristics, such as multi-level dispatching, multiple applications, safe, and reliable. This paper analyzes the characteristics of electric power dispatching process, and proposes the descriptive standard of electric power dispatching process, as well as the workflow operation mechanism on the basis of documents, which can achieve distributed processing of the flow. Meanwhile, based on smart electric power dispatching technological support system, it can apply integration through service bus and other services. The practice has proved that this mechanism can meet the need of wide circulation for electric power dispatching flow, and it possesses favorable application value.

scholarly journals Multi-level hybrid recommender decision support system with verbal output

2020 ◽  
Vol 1703 ◽  
pp. 012012
Author(s):  
S V Novikova ◽  
Y A Tunakova ◽  
A R Shagidullin ◽  
E S Kremleva
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Multi Level ◽  
Hybrid Recommender ◽  
Verbal Output

scholarly journals The Demand Supply Steady-State Process-Based Multi-Level Spare Parts Optimization

Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8324
Author(s):  
Jiaju Wu ◽  
Huijun Liu ◽  
Hongfu Zuo ◽  
Zheng Cheng ◽  
Yonghui Yang ◽  
...  
Keyword(s):  
Steady State ◽  
Analytical Model ◽  
Support System ◽  
Spare Parts ◽  
System Availability ◽  
State Process ◽  
Spare Parts Management ◽  
Multi Level ◽  
Steady State Process ◽  
Equipment System

Spare parts are one of the important components of the equipment comprehensive support system. Spare parts management plays a decisive role in achieving the desired availability with the minimum cost. With the equipment complexity increasing, the price of spare parts has risen sharply. The traditional spare parts management makes the contradiction between fund shortage and spare parts shortage increasingly prominent. Based on the analysis of the multi-echelon and multi-indenture spare parts support model VARI-METRIC (vary multi-echelon technology for recoverable item control, VARI-METRIC), which is widely used by troops and enterprises in various countries, the model is mainly used in high system availability scenarios. However, in the case of low equipment system availability, the accuracy and cost of model inventory prediction are not ideal. This paper proposed the multi-level spare parts optimization model, which is based on the demand-supply steady-state process. It is an analytical model, which is used to solve the low accuracy problem of the VARI-METRIC model in the low equipment system availability. The analytical model is based on the multi-level spare parts support process. The article deduces methods for solving demand rate, demand–supply rate, equipment system availability, and support system availability. The marginal analysis method is used in the model to analyze the spare parts inventory allocation strategy’s current based cost and availability optimal value. Finally, a simulation model is established to evaluate and verify the model. Then, the simulation results show that, when the low availability of equipment systems are 0.4, 0.6, the relative errors of the analytical model are 3.54%, 3.86%, and its costs are 0.52, 1.795 million ¥ RMB. The experiment proves that the inventory prediction accuracy of the analytical model is significantly higher than that of the VARI-METRIC model in low equipment system availability. Finally, the conclusion and future research directions are discussed.

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