A novel strategy segmentation methodology integrating Kraljic portfolio matrix and supplier relationship model: a case study from machinery industry

托普西斯 采购 层次分析法 计算机科学 文件夹 订单(交换) 实现(概率) 过程(计算) 供应商关系管理 相似性(几何) 运筹学 独创性 过程管理 业务 工业工程 营销 人工智能 供应链 数学 工程类 供应链管理 定性研究 图像(数学) 操作系统 社会科学 社会学 统计 财务
作者
Ahmet Selcuk Yalcin,Hüseyin Selçuk Kılıç,Emre Çevikcan
出处
期刊:Benchmarking: An International Journal [Emerald (MCB UP)]
卷期号:31 (10): 3587-3623 被引量:1
标识
DOI:10.1108/bij-03-2023-0197
摘要

Purpose The purpose of this article is to develop a new model called strategy segmentation methodology (SSM) by combining the Kraljic portfolio matrix (KPM) and the supplier relationship model (SRM) so that the buyer company can effectively conduct its relations with its suppliers. Design/methodology/approach The importance weights of the criteria defining the dimensions of each model are calculated with the single-valued neutrosophic analytical hierarchy process (SVN-AHP) method. Subsequently, the derived importance weights are employed in the single-valued neutrosophic technique for order preference by similarity to ideal solution (SVN-TOPSIS) method to obtain the scores of the suppliers and their supplied items. In order to illustrate the feasibility of the proposed methodology, a case study in the machinery industry is performed with the related comparative analysis. Findings The implementation of SSM enables to formulate various strategies to manage suppliers taking into account the items they procure, their capabilities and performance and the supplier–buyer relationship strength. Based on the proposed strategies, it is concluded that the firm in the case study should terminate its relationship with six of its suppliers. Originality/value Although KPM has become the basis of purchasing strategies for various businesses, it neglects the characteristics of suppliers and the buyer–supplier relationship. In this study, KPM is integrated with the SRM approach presented by Olsen and Ellram (1997) to overcome these disadvantages of KPM. The novel integration of the two approaches enables the realization of a robust and reliable supplier classification model.

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