Cleaner Production and PDCA cycle: Practical application for reducing the Cans Loss Index in a beverage company

Silva, Adriana S.; Medeiros, Carla F.; Vieira, Raimundo Kennedy

doi:10.1016/j.jclepro.2017.03.033

Cited by 81 publications

(61 citation statements)

References 26 publications

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“…The integration of layout with environmental issues improves the organization of processes and directs the company toward actions that reduce environmental impacts 13,34,36,37…”

Section: P2mentioning

confidence: 99%

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Assessing the implementation of Cleaner Production and company sizes: Survey in textile companies

Neto

Tucci

Correia

et al. 2020

Journal of Engineered Fibers and Fabrics

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The adoption of Cleaner Production (CP) consists in taking preventive actions of one or more Cleaner Production practices; the most common are the reduction of emissions, efficient use of water, energy, and reuse of waste. This research identified in the literature 31 Cleaner Production practices and, through a survey in multinational textile industries and verified by specialists, was identified and evaluated the level of implementation of each Cleaner Production practices and link them to small, medium and large companies, so, this was the aim of this research. This study used statistical test analysis of variance. The main results were that small companies are motivated to implement Cleaner Production practices solely to reduce costs, and some small companies do not even know the concept of Cleaner Production. Medium-sized companies receive pressures to implement Cleaner Production practices to develop an environmental management system and participate in the competitive exportation market. In addition, ultimately, large companies have levels of implementation of the Cleaner Production practices significantly higher than small- and medium-sized enterprises due to the need to continually invest in their brand to increase market share. Efficient use of water is a Cleaner Production practice adopted by large- and medium-sized companies. These results enable business executives to perform benchmarking using levels of implementation of Cleaner Production practices according to the company size.

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“…The integration of layout with environmental issues improves the organization of processes and directs the company toward actions that reduce environmental impacts 13,34,36,37…”

Section: P2mentioning

confidence: 99%

“…Integrating environmental issues with production planning and control results in the rational use of materials and reduction of rework and waste 13,29,30,34,37,38,42…”

Section: P14mentioning

confidence: 99%

Assessing the implementation of Cleaner Production and company sizes: Survey in textile companies

Neto

Tucci

Correia

et al. 2020

Journal of Engineered Fibers and Fabrics

View full text Add to dashboard Cite

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“…The PDCA cycle methodology was proposed in 1930 and was subsequently used to develop one of the most widely known tools, the Deming Cycle, in the 1950s (Silva et al ., ). This method was at first used as a tool to control product quality, but it was soon recognized as a method to develop improvements in organizational processes (Maruta, ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…The PDCA cycle has been applied widely in environmental management practices. Several studies have demonstrated that PDCA has significant advantages in improving practice performance and quality (Maas and Reniers, ; Jovanović et al ., ; Silva et al ., ). Green growth practice can develop from the reaction to pressures from the multiple stakeholder groups on environmental demands.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluating Green Growth Practices: Empirical Evidence from China

Guo

Chun-you

et al. 2018

Sustainable Development

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Green growth has been identified as an effective way to foster economic growth and address environmental problems, and is practised in various countries globally. However, there remain several obstacles and difficulties to evaluating green growth practices in theory, as there is no proper evaluation framework. To bridge this gap, a universal and comprehensive evaluation indicator system for green growth is built based on improving the plan–do–check–action (PDCA) cycle method, and then is applied to study China's green growth practices by using a hybrid method combining fuzzy set theory and the Decision‐Making Trial and Evaluation Laboratory (DEMATEL) method. The influences and interrelationships of sub‐practices are determined, and a visual analysis is conducted to evaluate their relationships. The findings reveal that five sub‐practices were grouped into a set of causes. Of these, high‐level leadership (G1) is the largest influencing factor, and its support and consideration should be prioritized. The other 10 sub‐practices are classified as a set of effects. Of this set, a well‐governed and effective institutional arrangement (G5) is the most influential practice restricting China's green growth. Additionally, this paper also finds that communicating benefits with stakeholders (G7) is strongly related to other sub‐practices, and is the top factor contributing to the success of China's green growth strategy. This study contributes not only to the literature on green growth practices in an emerging economy but also to giving decision‐makers and researchers inside and outside China valuable inspiration and references for improving the performance of green growth practices. Copyright © 2018 John Wiley & Sons, Ltd and ERP Environment

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“…The research findings lay a scientific basis for BATs formulation, and provide a valuable reference for assessing alternatives. To reduce the Cans Loss Index (CLI) of a company, Silva et al, (2017) implements a cleaner production programme through the plan-do-check-act (PDCA) method, and includes the following actions into the implementation: training on standards, review of maintenance plans, segmented control, design of responsibility matrix, alignment of services, and equipment maintenance. Govindan et al, (2016) evaluates the common barriers to remanufacturing by interpretive structural modelling (ISM) and fuzzy analytic network process (ANP).…”

Section: Literature Reviewmentioning

confidence: 99%

Cleaner Production Assessment for Wastewater Treatment Plants Based on Backpropagation Artificial Neural Network

Jian

Chen

2018

Neuroquantology

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This paper aims to create a rational standard for cleaner production (CP) in wastewater treatment plants (WWTPs). To this end, a cleaner production assessment system was established for WWTPs in light of relevant theories on cleaner production review; then, the analytic hierarchy process (AHP) and the artificial neural network (ANN) were combined into an AHP-based BP-ANN model for CP assessment of WWTPs. In the proposed model, the AHP evaluation results are taken as the network inputs, and trained and tested via backpropagation artificial neural network (BP-ANN). Then, the proposed model was verified through a case study on several WWTPs in Central China. The verification results show that the model fully absorbs the tacit knowledge and experience of expert scoring, and reduces the arbitrariness of subjective evaluation. With high accuracy, sound feasibility and controllable error, the proposed method boasts a great potential in the cleaner production evaluation of WWTPs.

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Cleaner Production and PDCA cycle: Practical application for reducing the Cans Loss Index in a beverage company

Cited by 81 publications

References 26 publications

Assessing the implementation of Cleaner Production and company sizes: Survey in textile companies

Assessing the implementation of Cleaner Production and company sizes: Survey in textile companies

Evaluating Green Growth Practices: Empirical Evidence from China

Cleaner Production Assessment for Wastewater Treatment Plants Based on Backpropagation Artificial Neural Network

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