System Design Method of Complex Product Based on Heterogeneous Language Information Environment

2020 ◽  
Author(s):  
Guan Wang ◽  
Yusheng Liu ◽  
Xiaoping Ye ◽  
Jianjun Zhao
Keyword(s):  
System Design ◽  
Programming Model ◽  
Design Method ◽  
Cloud Model ◽  
Information Environment ◽  
Directional Drilling ◽  
Preference Information ◽  
Performance Constraints ◽  
Multi Objective Programming ◽  
System Solution

Abstract In the product design process, early system design often plays an important role. Although the existing system design methods are very effective, the preference information of different stakeholders and the subjective uncertainty of their existence have not been processed well. Because different stakeholders have different backgrounds and different personalities, the language preferences are expressed differently. Therefore, it is difficult to select a system scheme that meets the performance requirements and is approved by various stakeholders. To solve this problem, this paper proposes a system design method based on heterogeneous language information environment. First, the theoretical system schemes set is constructed through the morphological matrix, and the multi-objective programming model is constructed through the performance indicators to select the system schemes set that optimizes each performance objective and meets the performance constraints. Then, a trapezoidal asymmetric cloud model is used as an intermediate for heterogeneous language information to integrate each stakeholder’s preference information expressed by their favorite linguistic term set to select the best system solution. The effectiveness of the method is verified by a system design example of a horizontal directional drilling machine (HDDM).

Decomposition-Based MDSDO for Co-Design of Large-Scale Dynamic Systems

2018 ◽  
Author(s):  
Mohammad Behtash ◽  
Michael J. Alexander-Ramos
Keyword(s):  
Dynamic System ◽  
System Design ◽  
Dynamic Systems ◽  
Large Scale ◽  
Design Method ◽  
Optimal Solution ◽  
Optimization Strategy ◽  
Design Algorithm ◽  
System Solution ◽  
New Formulation

Conventional sequential methods are not bound to yield optimal solutions for design of physical systems and their corresponding control systems. However, by managing the interactions, combined physical and control system design (co-design) can produce superior optimal results. Existing Co-design methods are practical for moderate-scale systems; whereas, they can be impractical or impossible to use when applied to large-scale systems and consequently may limit our determination of an optimal solution. This work addresses this issue by developing a novel decomposition-based version of a co-design algorithm to optimize such large-scale dynamic systems. The new formulation implements a decomposition-based optimization strategy known as Analytical Target Cascading (ATC) to a co-design method known as Multidisciplinary Dynamic System Design Optimization (MDSDO) of a large-scale dynamic system. In addition, a new consistency measure was also established to manage time-dependent linking variables. Results substantiate the ability of the new formulation in identifying the optimal dynamic system solution.

Construction of Optimum System Design Method Considering Product Lifecycle

2008 ◽  
Author(s):  
Masataka Yoshimura ◽  
Yoshiyuki Chujo ◽  
Kenji Doi ◽  
Shinji Nishiwaki ◽  
Kazuhiro Izui
Keyword(s):  
System Design ◽  
Design Method ◽  
Product Lifecycle ◽  
Optimum System

A fuzzy multi-objective programming optimization model for emergency resource dispatching under equitable distribution principle

2021 ◽  
pp. 1-10
Author(s):  
Zhaoping Tang ◽  
Wenda Li ◽  
Shijun Yu ◽  
Jianping Sun
Keyword(s):  
Optimization Model ◽  
Programming Model ◽  
Ideal Point ◽  
Optimal Solution ◽  
Multi Objective ◽  
Emergency Rescue ◽  
Satisfaction Degree ◽  
Multi Objective Programming ◽  
Parameter Interval ◽  
Objective Programming

In the initial stage of emergency rescue for major railway emergencies, there may be insufficient emergency resources. In order to ensure that all the emergency demand points can be effectively and fairly rescued, considering the fuzzy properties of the parameters, such as the resource demand quantity, the dispatching time and the satisfaction degree, the railway emergency resources dispatching optimization model is studied, with multi- demand point, multi-depot, and multi-resource. Based on railway rescue features, it was proposed that the couple number of relief point - emergency point is the key to affect railway rescue cost and efficiency. Under the premise of the maximum satisfaction degree of quantity demanded at all emergency points, a multi-objective programming model is established by maximizing the satisfaction degree of dispatching time and the satisfaction degree of the couple number of relief point - emergency point. Combined with the ideal point method, a restrictive parameter interval method for optimal solution was designed, which can realize the quick seek of Pareto optimal solution. Furthermore, an example is given to verify the feasibility and effectiveness of the method.

A Multi-Objective Programming Model of Dynamic Adjusting Flight Traffic

2014 ◽  
Vol 538 ◽  
pp. 127-133 ◽  
Author(s):  
Zhao Ning Zhang ◽  
Zhong Zhou Hao ◽  
Zheng Gao
Keyword(s):  
Load Balance ◽  
Optimal Allocation ◽  
Least Squares Method ◽  
Programming Model ◽  
Limiting Factors ◽  
Flight Delays ◽  
Traffic Demand ◽  
Multi Objective ◽  
Multi Objective Programming ◽  
Objective Programming

To alleviate the conflicts between the current flight traffic demand and the resource constraints of airspace, we need to improve the restrictions of flow allocation caused by the static air traffic flow allocation mode. The author analyzes the optimal allocation problem of dynamic adjusting flight flow and draws the conclusion that the problem should satisfy multiple targets, such as low flight delays, low flight cost and balancing the load of the route. Then consider a variety of limiting factors, such as the capacity of the route, flight planning, emergency situations, etc. Then establish multi-objective programming model of dynamic adjusting flight traffic. The objective function is determined by the flight cost, the flight delays and the value of the load balance. And the value of the load balance was first proposed according to the idea of least squares method. Then solve the model based on linear weighted technique. Finally the numerical result shows that the model can satisfy the multiple objectives and dynamic adjust the flight traffic optimally, that proves the rationality and validity of the model and the algorithm.

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