动态对齐的定量供应链分割模型

IF 1.3 Q3 ENGINEERING, MULTIDISCIPLINARY
Rafael Alves Ferreira, Lucas A. S. Santos, K. F. Espôsto
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引用次数: 0

摘要

公司与不同的客户群体打交道,他们之间的要求不同,这使得准确定义服务水平并通过针对每个群体的不同供应链策略来提高客户服务变得很重要。Leagile或Dynamic Alignment学派提出的处理与分割过程相关的不精确性的另一种方法是应用模糊集理论。这项工作的目的是开发一个使用模糊集理论的定量模型,并基于销售数据评估公司的供应链。该模型的目的是促进管理者的决策过程,以实现动态调整。可以确定为所评估的客户群体服务的供应链,提供的答案比文献中模型提出的分析更快。在两种实际情况下的应用验证了该模型,因为所获得的结果与被评估公司的专家指出的现实情况一致。该模型指出了其管理者调整供应链的可能行动。所取得的成果应改进实践,使管理人员做好应对组织多个供应链的准备。本研究首次应用模糊集理论对企业供应链进行定量分割,为动态调整运营和供应链战略提供了一种新的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantitative supply chain segmentation model for dynamic alignment
Companies deal with different customer groups, requirements differ among them, which makes it important to define the service level precisely and improve customer service through different supply chain strategies for each group. An alternative to deal with imprecision related to the segmentation processes suggested by either the Leagile or the Dynamic Alignment Schools is the application of fuzzy set theory. The objective of this work is to develop a quantitative model that uses the fuzzy set theory and, based on sales data, assess the company’s supply chain(s). The model's aim is to facilitate managers' decision-making processes to achieve the dynamic alignment. It was possible to identify the supply chains that serve the client groups evaluated, providing answers faster than the analysis proposed by the models found in the literature. The application in two real situations validated the model since the results obtained were consistent with the reality pointed out by the experts of the companies assessed. The model indicates possible actions for the realignment of the supply chain by their managers. Results obtained should improve practice, preparing managers to cope with the organizations` multiple supply chains. This study is the first one that aims to segment quantitatively supply chains on a company applying fuzzy set theory, providing a novel approach to align operations and supply chain strategy dynamically.
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来源期刊
CiteScore
2.10
自引率
13.30%
发文量
18
审稿时长
20 weeks
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