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首页> 外文期刊>International Journal of Production Research >Multi-objective resource assignment problem in a product-driven supply chain using a Taguchi-based DNA algorithm
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Multi-objective resource assignment problem in a product-driven supply chain using a Taguchi-based DNA algorithm

机译：基于Taguchi的DNA算法的产品驱动供应链中的多目标资源分配问题

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This paper conceptualises the integration of tangible and intangible factors into the design consideration of a resource assignment problem for a product-driven supply chain. The problem is formulated mathematically as a multi-objective optimisation model to maximise the broad objectives of profit, ahead of time of delivery, quality, and volume flexibility. Product characteristics are associated with the design requirements of a supply chain. Different types of resources are considered, each differing in its characteristics, thereby providing various alternatives during the design process. The aim is to design integrated supply chains that maximise the weighted sum of the objectives, the weights being decided by the desired product characteristics. The problem is solved through the proposed Taguchi-based DNA algorithm that draws its traits from random search optimisation and the statistical design of experiments. In order to minimise the effect of the causes of variations, the fundamental Taguchi method is integrated with the DNA-metaheuristic. The suggested methodology exhibits the global exploration capability to exploit the optimal or near-optimal DNA strands with a faster convergence rate. In order to authenticate the performance of the proposed solution methodology, a set of ten problem instances are considered and the results obtained are compared with that of the basic DNA, particle swarm optimisation (PSO) and its variant (PSO - time varying acceleration coefficients). The results demonstrate the benefits of the proposed algorithm for solving this type of problem.
机译：本文概念性地将有形和无形因素集成到产品驱动的供应链的资源分配问题的设计考虑中。该问题在数学上被公式化为一个多目标优化模型，以最大程度地实现广泛的利润目标，提前交付，质量和数量灵活。产品特性与供应链的设计要求相关。考虑了不同类型的资源，每种资源的特征各不相同，从而在设计过程中提供了多种选择。目的是设计集成的供应链，以使目标的加权总和最大化，权重由所需的产品特性决定。通过提出的基于Taguchi的DNA算法解决了该问题，该算法从随机搜索优化和实验统计设计中汲取了其特点。为了使变化原因的影响最小化，基本的Taguchi方法与DNA代谢论相结合。建议的方法论展示了以更快的收敛速度利用最佳或接近最佳的DNA链的全球探索能力。为了验证所提出的解决方案方法的性能，考虑了十个问题实例，并将获得的结果与基本DNA，粒子群优化（PSO）及其变体（PSO-时变加速度系数）的结果进行了比较。 。结果证明了所提出的算法解决此类问题的好处。

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