Relationship between lean tools and operational and environmental performance by integrated ISM–Bayesian network approach

Liu, Chaochao; Niu, Zhanwen; Li, Qinglin

doi:10.1108/tqm-11-2020-0260

Cited by 9 publications

(7 citation statements)

References 47 publications

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“…The interdependency among the indicators is analysed by Interpretive Structural Modelling (ISM) methodology. There exists many methods that are used for prioritization and ranking of factors, but ISM is a widely used method for providing hierarchal structure (Yadav and Desai 2017 ; Chauhan et al 2020 ; Liu et al 2021 ). To model dependency in this complex network, in the next phase, Bayesian Network (BN) is implemented which uses probabilities to evaluate the critical indicators in the supply chain.…”

Section: Methodsmentioning

confidence: 99%

Assessing supply chain resilience to the outbreak of COVID-19 in Indian manufacturing firms

et al. 2022

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As the world has seen the impact of COVID-19, development of resilient supply chain strategies has emerged as top priority. The inconsistent demands, product consumption and the shorter lifecycle of products during the pandemic needs appropriate planning and designing to make the supply chain more resilient. In this study, an analytical model is proposed to assess the resilience of supply chain to overcome the effect of the disruption impacts. The supply chain risks will depend on the nature of the business and therefore, besides literature review on supply chain resilience the inputs from experts were required. The interdependency among the indicators was analysed by employing Interpretive Structural Modelling (ISM) and demonstrated with the help of a framework. The strength of the interdependence is assessed using Bayesian Network approach. BN transformed the qualitative expert inputs to quantitative assessment by utilising the principles of conditional probability. Three cases from Indian manufacturing industries were used to demonstrate and assess the critical supply chain resilience indicators using integrated ISM-BN approach. The cases showed that the proposed approach can assist decision makers in identifying the critical indicators to be focused towards improving the supply chain resilience to overcome the outbreak of Covid-19 pandemic. A comparative analysis of the supply chain risk indicators has also been performed, thereby extending the practical implication of supply chain resilience.

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Section: Methodsmentioning

confidence: 99%

Assessing supply chain resilience to the outbreak of COVID-19 in Indian manufacturing firms

et al. 2022

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“…In traditional LFM models, conventional priors are also used as predictor demand variables. However, from a general point of view, the qualifications of job applicants have an important influence on job selection, and understanding their competencies is key to modeling the needs of job applicants [25]. Based on this idea, a variational auto-encoder (VAE) is used to represent the competencies of the job applicant using the competency hidden s i ∈ S k and the latent Dirichlet allocation (LDA) model, and a parametric network is used to generate the competency profile of the job applicant i.…”

Section: B Recommended Model Frame Constructionmentioning

confidence: 99%

Recruiting PE Teachers Based on Regional Socio-Economic Status Evaluation and Recommendation Algorithm

Long,

2023

JAIT

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The most important step in creating a teaching force for physical education (PE) is finding enough qualified teachers. In order to better absorb the PE teaching talents who are more suitable for the job requirements, the ability variables of sports talents, the expected regional social and economic status, and historical data are considered, the intelligent matching of talents and positions is made, and the Bayesian variational network recommendation model considering the needs are constructed. According to the experimental findings, this model's highest recommendation accuracy in the normal scenario is 0.5888 and its maximum recommendation accuracy in the training and test sets is roughly 0.6 and 0.68. The model has good convergence and high accuracy of recommendation, which is conducive to matching PE teaching talents and teaching positions, providing job seekers with positions that meet their needs, providing teaching talents to meet the requirements, and creating a team of PE teachers that match people and posts.

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“…It was discovered that the use of these lean technologies directly and favourably impacts environmental performance. Liu et al (2022) investigated the connection between operational and environmental performance and lean tools (jidoka, standardised work, 5S, and total productive maintenance). The goal of the study was to better understand how lean tool application status changes could affect operational and environmental performance.…”

Section: The Impact Of Lean Implementation On Enterprise's Environmen...mentioning

confidence: 99%

A Proposed Framework for Identifying the Impact of Adopting Lean Tools on Enterprise’s Environmental Sustainability Performance

Badroos¹,

Zaghloul²,

Musa³

2022

IJAAS

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In order to identify the effects of implementing lean tools on an enterprise’s environmental performance, a framework is proposed in this study in order to explain the direct relationship between the two. In order to demonstrate lean and sustainability principles, sustainability’s dimensions, pertinent lean tools, and the influence of adopting lean tools on corporate environmental performance, descriptive analytical techniques are utilised to evaluate the current literature. Additionally, a framework for assessing the effect of using lean technologies on an enterprise’s environmental performance is proposed using a constructive approach. The analysis indicates that there may be a direct or indirect link between the application of lean and environmental performance. Only the direct link between lean implementation and environmental performance was examined in this article. When lean tools are used, environmental performance improves accidentally as a consequence of lower material, water, and energy consumption, waste generation, and emissions into the air, land, or water. On the other hand, future research can examine the indirect relationship between the application of lean and environmental performance. This study offers a novel academic methodology for assessing the influence of lean doption on environmental performance. Additionally, managers can use the framework as a guide to find the best lean tools to apply in order to get rid of lean waste and the associated environmental waste.

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Relationship between lean tools and operational and environmental performance by integrated ISM–Bayesian network approach

Cited by 9 publications

References 47 publications

Assessing supply chain resilience to the outbreak of COVID-19 in Indian manufacturing firms

Assessing supply chain resilience to the outbreak of COVID-19 in Indian manufacturing firms

Recruiting PE Teachers Based on Regional Socio-Economic Status Evaluation and Recommendation Algorithm

A Proposed Framework for Identifying the Impact of Adopting Lean Tools on Enterprise’s Environmental Sustainability Performance

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