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精益制造工具对可持续性的影响:以墨西哥边境加工厂为例。

Effect of lean manufacturing tools on sustainability: the case of Mexican maquiladoras.

机构信息

Department of Industrial Engineering and Manufacturing , Autonomous University of Ciudad Juarez, Av. Del Charro 450 Norte, Col. Partido Romero, Ciudad Juárez, Chihuahua, México, Z.P. 32310.

Department of Industrial Engineering, Instituto Tecnológico de Ciudad Juárez, Av. Tecnológico, Av. Tecnológico 1340. Fracc. El Crucero, Ciudad Juárez, Chihuahua, México, Z.P. 32500.

出版信息

Environ Sci Pollut Res Int. 2022 Jun;29(26):39622-39637. doi: 10.1007/s11356-022-18978-6. Epub 2022 Feb 2.

Abstract

The Mexican maquiladora industry is applying Lean Manufacturing Tools (LMT) in its production lines; however, few studies have investigated its relationship with sustainability (social, economic, and environmental). This paper presents a second-order structural equation model (SEM) relating 8 LMT integrated into three independent latent variables: continuous improvement (Kaizen and Gemba), supporting tools (Andon, visual management, and Poka-yoke), and machinery and equipment (total productive maintenance, overall equipment effectiveness, and Jidoka) that are related to social, economic, and environmental sustainability as dependent variables. The model is validated with information obtained from 249 companies using partial least squares. Findings show that the application of LMT in the Mexican maquiladora industry avoids the generation of waste and reprocessing. Likewise, the improvement of production processes reduces the waste emitted into the environment and reduces energy consumption. Also, when companies have environmental programs, the work environment is safe, and labor relations are improved, increasing morale and the commitment to work for the company, gaining economic and ecological benefits.

摘要

墨西哥的边境加工厂产业正在其生产线中应用精益制造工具(LMT);然而,很少有研究调查其与可持续性(社会、经济和环境)的关系。本文提出了一个二阶结构方程模型(SEM),将 8 种集成到三个独立的潜在变量中:持续改进(Kaizen 和 Gemba)、支持工具(Andon、可视化管理和 Poka-yoke)以及机器和设备(全面生产维护、整体设备效率和 Jidoka),这些变量与社会、经济和环境可持续性作为因变量相关。该模型使用偏最小二乘法(PLS)从 249 家公司获得的信息进行了验证。研究结果表明,在墨西哥边境加工厂产业中应用 LMT 可以避免浪费和再加工。同样,生产过程的改进减少了排放到环境中的废物和能源消耗。此外,当公司有环境计划时,工作环境是安全的,劳资关系得到改善,提高了员工士气和对公司工作的承诺,获得了经济和生态效益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e78f/8808277/cc44f3c4856a/11356_2022_18978_Fig1_HTML.jpg

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