基于COA/ε-约束的多目标供应商选择问题研究

E. Shadkam, M. Parvizi, R. Rajabi
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引用次数: 0

摘要

今天,在供应链管理战略中关注供应商的利益是与供应商建立长期战略关系成功的重要因素之一。如果对这些问题不够重视,有时会对组织的整体结构造成无法弥补的损害。针对这一需求,研究人员根据不同的方法开发并提出了不同的模型。本研究提出了一种特殊的模型和方法来回答这些问题。该方法基于布谷鸟优化算法(COA),除了可以解决单目标问题外,还可以解决多目标方法中的问题。该方法基于COA和e约束方法,称为COA/e约束。该方法的一般方法是将多目标问题转化为单目标问题,从而提高效率。本文研究的模型是一个成本、质量和交货期三目标模型,其目的是在供应商选择问题中建立买家和供应商之间的协调关系,并对所提出方法的性能进行评价。结果表明,在创建帕累托边界方面,所提出的方法优于类似方法。
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The study of multi-objective supplier selection problem by a novel hybrid method: COA/ε-Constraint
Today, paying attention to the interests of suppliers in supply chain management strategies is one of the important points in the success of long-term and strategic relationships with suppliers. Not paying enough attention to these points sometimes causes irreparable damage to the overall structure of the organization. In response to this need, researchers have developed and proposed different models according to different approaches. This research has presented a special model with the approach of answering these problems. This approach, which is based on the cuckoo optimization algorithm (COA), can solve the problems in multi-objective methods in addition to single-objective problems. This method based on the COA and the e-constraint method named COA/e-Constraint. The general approach of this method is to turn a multi-objective problem into a single-purpose problem, which is associated with increased efficiency. The model studied in this paper, with the aim of creating coordination between buyers and suppliers in the problem of supplier selection, is a three-objective model of cost, quality and delivery time, which is implemented to evaluate the performance of the proposed method. The results show the superiority of the proposed method over similar approaches in terms of creating a Pareto frontier.
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