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A fuzzy maturity-based method for lean supply chain management assessment
International Journal of Lean Six Sigma ( IF 3.8 ) Pub Date : 2021-03-29 , DOI: 10.1108/ijlss-08-2020-0123
Gabriela Pereira Soares , Guilherme Tortorella , Marina Bouzon , Madjid Tavana

Purpose

This study aims to propose a method for measuring lean supply chain management (LSCM) maturity based on the main lean practices and existing waste of a supply chain.

Design/methodology/approach

A three-stage approach was developed. First, a thorough literature review was performed to raise concepts and previous findings on maturity models (MMs) and LSCM. This review’s outcomes were then validated by experts in the field using the fuzzy Delphi method (FDM). Subsequently, the proposed model was illustrated and assessed based on a multi-case study.

Findings

All companies attained high outcomes in the elimination of the waste pillar. The pillars of logistics management, continuous improvement and information technology management also stood out in the three organizations’ results. The company with the lowest maturity level operates in a make-to-order production policy, which may harm the lean supply in its supply chain.

Practical implications

The proposed model can reveal external opportunities and threats and internal strengths and weaknesses in supply chains (SCs). It is also capable of providing a clear roadmap for SC improvement in companies.

Originality/value

To the best of the authors’ knowledge, no study to date has proposed a MM in the LSCM context using FDM and considering the crucial relationship between lean practices and wastes.



中文翻译:

基于模糊成熟度的精益供应链管理评估方法

目的

本研究旨在提出一种基于主要精益实践和供应链现有浪费的衡量精益供应链管理 (LSCM) 成熟度的方法。

设计/方法/方法

开发了一种三阶段方法。首先,进行了彻底的文献回顾,以提出有关成熟度模型 (MM) 和 LSCM 的概念和先前的发现。该审查的结果随后由该领域的专家使用模糊德尔菲法 (FDM) 进行验证。随后,基于多案例研究对所提出的模型进行了说明和评估。

发现

所有公司在消除废物支柱方面都取得了很高的成绩。物流管理、持续改进和信息技术管理的支柱也在三个组织的结果中脱颖而出。成熟度最低的公司采用按订单生产的生产政策,这可能会损害其供应链中的精益供应。

实际影响

所提出的模型可以揭示供应链 (SC) 中的外部机会和威胁以及内部优势和劣势。它还能够为公司的 SC 改进提供清晰的路线图。

原创性/价值

据作者所知,迄今为止,还没有研究在 LSCM 环境中使用 FDM 并考虑精益实践和浪费之间的关键关系提出了 MM。

更新日期:2021-03-29
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