Leveraging Optimized and Cleaner Production through Industry 4.0

Amjad, Muhammad Saad; Rafique, Muhammad Zeeshan; Khan, Mohammad Aamir

doi:10.1016/j.spc.2021.01.001

Cited by 98 publications

(69 citation statements)

References 82 publications

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“…(1) Amjad et al [44] [87], suggested that industries should consider in their business strategy, from the initial phase of implementing Industry 4.0, that in all decisions, policies, actions and practices, the following components should be analyzed: environmental, philanthropic, legal, ethical and economical. This reinforces the role of corporate social responsibility and organizational innovation in contributing to organizational performance [88], which is relevant to the adoption of an environmentally sustainable manufacturing.…”

Section: Cleaner Production Approachesmentioning

confidence: 99%

“…Due to the importance of preserving the environment, cleaner production should be considered a fundamental need, as a basis, from the initial stages of the implementation of Industry 4.0 [44][45][46][47], and not as a result of the implementation process. Due to the importance of preserving the environment, cleaner production should be considered a fundamental need, as a basis, from the initial stages of the implementation of Industry 4.0 [44][45][46][47], and not as a result of the implementation process.…”

Section: The Proposed Modelmentioning

confidence: 99%

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Implementing Industry 4.0 through Cleaner Production and Social Stakeholders: Holistic and Sustainable Model

Sátyro

Contador

et al. 2021

Sustainability

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Although Industry 4.0 has received much attention in recent years due to the possibility of increasing companies’ productivity, the implementation process is complex. The aim of this study is to present a holistic model for implementing Industry 4.0 based on cleaner production as a fundamental tool for the development of production systems that meet the Sustainable Development 04026-002Goals (SDGs), and social stakeholders that cooperate with this implementation process, helping to develop sustainable infrastructure, processes and technologies to increase the sustainable transformation of these companies towards Industry 4.0. The method used was literature research, and the Delphi technique was used to ask specialists to contribute with their experience to evaluate and propose improvements to the model, in the form of a consensus. The model contributes to the Sustainable Development Goals 9, 12 and 15. This holistic and sustainable model is a contribution to theory and practice, helping executives, technicians, entrepreneurs and those involved with Industry 4.0 to base the implementation process in the needs and specificities of each company, avoiding the “one fits all” models, considering the peculiarities of each company and the complexity of the implementation process in a more efficient and collaborative digital production ecosystems base, seeking to reduce inequalities, through the joint effort of social stakeholders to find ways to restore and/or improve social harmony, impacted by Industry 4.0.

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Section: Cleaner Production Approachesmentioning

confidence: 99%

Section: The Proposed Modelmentioning

confidence: 99%

Implementing Industry 4.0 through Cleaner Production and Social Stakeholders: Holistic and Sustainable Model

Sátyro

Contador

et al. 2021

Sustainability

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“…Waste is any element within the production process that does not add value to the final product, but adds cost [28]. There are seven types of Waste reported in the literature: overproduction, waiting, transportation, inadequate processes, unnecessary inventory, excessive movement of elements, and excess defects [29], which represent economic losses for the company, and value stream mapping is a tool that can help to discover them [30].…”

Section: Wastementioning

confidence: 99%

Effect of Quality Lean Manufacturing Tools on Commercial Benefits Gained by Mexican Maquiladoras

et al. 2021

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Companies implement lean manufacturing (LM) tools in their production processes to reduce waste; however, it is difficult to quantify the effect on benefits gained after their implementation. This article proposes a structural equations model (SEM) that relates three LM tools associated with quality as total quality management (TQM), waste, and right first time (RFT) as independent variables associated with commercial benefits gained as a dependent variable. Those four variables were related by six hypotheses that were validated with information from 169 responses to a survey applied to the Mexican maquiladora industry. Partial least squared was used to validate the hypotheses as direct effects. The sum of indirect and total effects was also estimated, and a sensitivity analysis was developed for relationships between variables. Findings indicate that TQM directly affects waste reduction, drives doing RFT, and directly and indirectly affects the commercial benefits gained.

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“…Ce résultat a été obtenu par les données collectées auprès de 115 entreprises manufacturières du secteur automobile, chimique et pharmaceutique de l'Inde et analysées avec par le test de Kolmogorov-Smirnov et de Harman. En plus du travail de Kamble, Muhammad (2021) a montré à l'aide d'un cas d'étude qu'il est possible de combiner la production épurée, l'industrie 4.0 et la production verte pour rapidement améliorer la performance environnementale des entreprises qui en soit est une performance durable (Amjad et al, 2021). Les travaux effectués par Tortorella (2018), Rossini (2019), Kamble (2020) et Muhammad (2021) peuvent tout au moins nous laisser penser que l'introduction des technologies de l'industrie 4.0 au sein des entreprises manufacturières n'est pas nuisible aux pratiques de la production épurée.…”

Section: Effets Combinés De L'industrie 40 Et De La Production éPurée Sur La Performance Opérationnelle Des Entreprisesunclassified

Les objets connectés pour améliorer la culture de la production épurée : revue de littérature et esquisse de solution applicable aux entreprises manufacturières

Tadja¹,

Bassetto²,

Tollenaere³

et al. 2021

induProd

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Ce travail vise à montrer l'importance des objets connectés pour améliorer la culture de la production épurée. Afin d'atteindre cet objectif, la revue de littérature qui englobe la production épurée, l'industrie 4.0 et le comportement des équipes de travail a été basée sur le processus de revue de littérature adapté de l'Université Concordia (2020) et de Machi (2012). À la fin de ce travail, il a été possible de structurer les pratiques techniques de la production épurée en 5 méthodes et d'identifier 8 principaux groupes technologiques de l'industrie 4.0. Le fruit qui ressort de ce travail est une proposition applicable aux entreprises manufacturières. Celle-ci est le système « lean coach CNV » basé sur les objets connectés dont l'application a le potentiel de promouvoir la culture de la production épurée. En plus de constituer une source d'actualisation de l'enseignement de la production épurée, sur le plan pratique, la proposition contenue dans ce travail est une piste de solution au problème connu de l'échec de mise en oeuvre de la production épurée au sein des entreprises manufacturières. ABSTRACT. This work aims to show importance of Industrial Internet of Things to improve lean manufacturing culture. The literature review that encompasses lean manufacturing, industry 4.0 and teamwork behaviour, is based on Concordia University Library (2020) and Machi (2012) literature review processes. From this work, it has been possible to structure lean manufacturing technical practices into 5 methods and identify 8 main industry 4.0 technological groups. The fruit of this work is a NVC lean coach system based on the integration of industrial internet of thing to seed lean manufacturing culture. Although this system is at proposal stage, it is a potential solution to the known problem of lean manufacturing implementation failure in manufacturing plants. At teaching level, it will contribute to update lean manufacturing courses. MOTS-CLÉS. Production épurée, Objets connectés, Comportement des équipes de travail.

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Leveraging Optimized and Cleaner Production through Industry 4.0

Cited by 98 publications

References 82 publications

Implementing Industry 4.0 through Cleaner Production and Social Stakeholders: Holistic and Sustainable Model

Implementing Industry 4.0 through Cleaner Production and Social Stakeholders: Holistic and Sustainable Model

Effect of Quality Lean Manufacturing Tools on Commercial Benefits Gained by Mexican Maquiladoras

Les objets connectés pour améliorer la culture de la production épurée : revue de littérature et esquisse de solution applicable aux entreprises manufacturières

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