Binary goal programming model for optimizing tire selection using branch and bound algorithm

Q3 Mathematics

International Journal for Simulation and Multidisciplinary Design Optimization Pub Date : 2021-01-01 DOI:10.1051/smdo/2021008

S. Aly

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引用次数: 2

Abstract

The problem of assessment and adoption of automotive tyre design specifications has not been addressed sufficiently in literature. This is in spite of its significance as a crucial component relevant to design and safety of the automobile. In this paper, a multi-objective optimization model of the tyre design trademark adoption decision is proposed. Multi-attribute or multi-criterion decision making techniques are heuristics providing good solution, but do not guarantee optimum solution. Up to date, there is no optimal yielding method for selection of vehicle tyre manufacturer or trademark based on prespecified design targets. The proposed model is formulated as a binary goal programming model for optimizing tyre trademark design selection decision by adopting an optimal tyre design trademark that best achieve design targets. The model is solved by the branch and bound algorithm. One advantage of the proposed model is flexibility to incorporate multiple design targets, tolerance limits and different constraints. The proposed model can support efficient and effective decision making concerning the adoption of tyre trademark design for new automobile or to re-adopt new design for new road vehicle operating conditions.

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用分支定界算法优化轮胎选择的二元目标规划模型

评估和采用汽车轮胎设计规范的问题在文献中没有得到充分的解决。尽管它作为汽车设计和安全的关键部件具有重要意义。本文提出了轮胎设计商标采用决策的多目标优化模型。多属性或多准则决策技术是一种启发式方法，它提供了良好的解决方案，但并不保证最优的解决方案。目前还没有一种基于预定设计目标的汽车轮胎制造商或商标选择的最优屈服方法。提出的模型是一个二元目标规划模型，通过选择最能实现设计目标的最优轮胎设计商标来优化轮胎商标设计选择决策。采用分支定界算法对模型进行求解。该模型的一个优点是可以灵活地结合多个设计目标、公差限制和不同的约束。所提出的模型能够支持针对新车型采用轮胎商标设计或针对新的道路车辆工况重新采用轮胎商标设计的高效决策。

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来源期刊

International Journal for Simulation and Multidisciplinary Design Optimization Mathematics-Control and Optimization

CiteScore

2.00

自引率

0.00%

发文量

审稿时长

16 weeks

期刊介绍： The International Journal for Simulation and Multidisciplinary Design Optimization is a peer-reviewed journal covering all aspects related to the simulation and multidisciplinary design optimization. It is devoted to publish original work related to advanced design methodologies, theoretical approaches, contemporary computers and their applications to different fields such as engineering software/hardware developments, science, computing techniques, aerospace, automobile, aeronautic, business, management, manufacturing,... etc. Front-edge research topics related to topology optimization, composite material design, numerical simulation of manufacturing process, advanced optimization algorithms, industrial applications of optimization methods are highly suggested. The scope includes, but is not limited to original research contributions, reviews in the following topics: Parameter identification & Surface Response (all aspects of characterization and modeling of materials and structural behaviors, Artificial Neural Network, Parametric Programming, approximation methods,…etc.) Optimization Strategies (optimization methods that involve heuristic or Mathematics approaches, Control Theory, Linear & Nonlinear Programming, Stochastic Programming, Discrete & Dynamic Programming, Operational Research, Algorithms in Optimization based on nature behaviors,….etc.) Structural Optimization (sizing, shape and topology optimizations with or without external constraints for materials and structures) Dynamic and Vibration (cover modelling and simulation for dynamic and vibration analysis, shape and topology optimizations with or without external constraints for materials and structures) Industrial Applications (Applications Related to Optimization, Modelling for Engineering applications are very welcome. Authors should underline the technological, numerical or integration of the mentioned scopes.).