Proposing a hybrid fuzzy model to consider knowledge management challenges in supply chain: case study

IF 1.3 Q3 MANAGEMENT

International Journal of Knowledge Management Studies Pub Date : 2023-01-01 DOI:10.1504/ijkms.2023.132046

Ahmad Morshedi, Navid Nezafati, Sajjad Shokouhyar, Mehrab Tanhaeean

引用次数: 1

Abstract

The steel industry is considered the second most vital industry in Iran after oil and petrochemical industry. Correspondingly, KM implementation is encountered with challenges and obstacles leading to cost enhancement and resources annihilation. This study aims at reducing the uncertainty made by expert judgments in the procedure of KM implementation using linguistic degrees. In this paper, a fuzzy theory is used to decrease the linguistic inaccuracy and the vagueness of human judgment. Firstly, challenges of KM were identified in the literature. Then, challenges corresponding to steel industry SC were finalised, short-listed and merged by expert judgment through Delphi fuzzy method. Also, new solutions were proposed by experts to cope with KM challenges. Afterwards, the fuzzy analytical hierarchy process (FAHP) is exploited to rank and weight determination of challenges and solutions. Using the fuzzy inference system (FIS) for improving KM implementation and managing the challenges is the next stage.

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提出一种考虑供应链知识管理挑战的混合模糊模型:案例研究

钢铁工业被认为是伊朗仅次于石油和石化工业的第二大产业。相应的，知识管理的实施也面临着成本增加和资源消耗的挑战和障碍。本研究旨在利用语言度减少专家判断在知识管理实施过程中的不确定性。本文采用模糊理论来减少语言的不准确性和人类判断的模糊性。首先，在文献中指出了KM面临的挑战。然后，通过德尔菲模糊评判法，对钢铁行业供应链所对应的挑战进行确定、筛选和合并。此外，专家们还提出了应对知识管理挑战的新方案。然后，利用模糊层次分析法(FAHP)对挑战和解决方案进行排序和权重确定。利用模糊推理系统(FIS)来改进知识管理的实施和管理挑战是下一个阶段。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Knowledge Management Studies Decision Sciences-Information Systems and Management

CiteScore

1.90

自引率

14.30%

发文量

期刊介绍： “Knowledge as a key resource will contribute to improved organisational performance if it is properly leveraged and harnessed." IJKMS is a refereed and authoritative source of information in the field of knowledge management and related aspects. Topics covered include: -Knowledge creation, acquisition, codification, classification, organisation -Knowledge sharing, transfer, application, protection, retention -KM design and development -KM management and implementation -Measurement of knowledge management performance and benefits -Techniques and methods for managing knowledge -Technological tools for knowledge management, e.g. -knowledge bases, collaborative tools -expert/intelligent systems, knowledge mining/extraction -content/document management -portals, search and retrieval -e-learning, virtual reality, business intelligence, etc. -Human, organisational, strategic, behavioural, socio-cultural aspects -Public policy, economics, education policy, intellectual capital, ethics -Other related aspects of KM