Construction of lean-green coordinated development model from the perspective of personnel integration in manufacturing companies

Zhu, Xiaoyong; Hua, Zhang

doi:10.1177/0954405420919324

Cited by 8 publications

(1 citation statement)

References 38 publications

(36 reference statements)

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“…In recent years, market dynamics have changed with the rise of operations, environmental, social, and quality improvement methods (e.g., Lean, Six Sigma, and Green), and increasing attention has been paid to environmental and social responsibility [4][5][6]. Traditionally, productivity and profitability, as well as recent quality, customer satisfaction, and flexibility, have been the major concerns for organizations [7][8][9][10][11]. However, organizations are forced to reconsider how to manage their processes and operations and seek innovative ways of doing business in response to governmental environmental regulations and customer demands for environmentally sustainable services and products [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Decision-Making Model of Mechanical Components in a Lean–Green Manufacturing System Based on Carbon Benefit and Its Application

Zhu

Xiao

2022

Processes

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The key to achieving low-carbon manufacturing is to effectively reduce the carbon emissions of production systems and improve carbon benefits. The use of lean and green tools aids in measuring the added value of products, and increases the efficiency and sustainability of production systems. To address this problem and verify that the synergetic relationship between lean and green innovation increases the efficiency and sustainability in production systems, a new low-carbon manufacturing evaluation indicator—carbon benefit—in lean manufacturing systems was discussed. A low-carbon decision-making model of multiple processes aiming at carbon benefit maximization, as well as the dynamic characteristics of carbon benefit and sustainable process improvements in a lean production system, was established. A case study of a certain satellite dish parts manufacturing line was introduced to analyze and verify the feasibility of the proposed model. After improvement, the processing time of unit parts was reduced from 63 s to 54 s. The workstations were optimized again according to the lean–green manufacturing concept, and the number was reduced by 37.5%. The process was recombined and reduced from 8 to 5 to achieve continuous-flow processing. This reduced the distance by 77 m, and at the same time, the number of operating personnel was reduced, and the after-improvement carbon efficiency increased from 12.98 s/kg CO2e to 36.33 s/kg CO2e in comparison with that before the improvement. The carbon benefit after improvement was 193.92% higher than that before the improvement.

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Section: Introductionmentioning

confidence: 99%

Decision-Making Model of Mechanical Components in a Lean–Green Manufacturing System Based on Carbon Benefit and Its Application

Zhu

Xiao

2022

Processes

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Investigating the influence of lean manufacturing approach on environmental performance: A systematic literature review

Ferrazzi,

Frecassetti,

Bilancia

et al. 2024

Int J Adv Manuf Technol

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The growing emphasis on environmental sustainability has drawn considerable attention from both academia and industry practitioners. Factors such as escalating energy costs, heightened environmental degradation, and a burgeoning market demand for eco-friendly practices have compelled businesses to reassess their strategies through a green lens. Given that Lean principles are rooted in optimising operations to minimise waste across design and production processes, their synergy with the green paradigm is evident. However, despite the intuitive connection between Lean methodologies and environmental sustainability, the scholarly exploration of their impact remains largely underdeveloped. This research seeks to bridge this gap by conducting a comprehensive systematic literature review to dissect the current understanding of Lean manufacturing practices and their influence on environmental sustainability performance. The selected papers were meticulously screened and grouped into three clusters using the PRISMA diagram methodology. The primary objective was to discern the tangible effects of Lean practices on eco-efficiency performance and explore integrating Lean manufacturing principles with broader sustainable manufacturing approaches. A structured matrix was created to categorise and visualise the identified impacts gleaned from the initial articles. Nevertheless, the review revealed significant gaps in understanding, particularly regarding the factors that shape the efficacy of Lean manufacturing tools in enhancing eco-efficiency performance. The findings underscore the need for further research to unravel these complexities and delineate the mechanisms through which Lean practices contribute to environmental sustainability. Several avenues for future research have been delineated, focusing on how Lean manufacturing practices can be leveraged to support eco-efficiency performance effectively. While the preliminary findings shed light on the promising intersection between Lean principles and environmental sustainability, they also underscore the imperative for continued scholarly inquiry to unlock the full potential of Lean methodologies in fostering a greener industrial landscape.

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Lean and Green: The Green Foundry Simulation Model

Saetta¹,

Caldarelli²

2023

Procedia Computer Science

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Construction of lean-green coordinated development model from the perspective of personnel integration in manufacturing companies

Cited by 8 publications

References 38 publications

Decision-Making Model of Mechanical Components in a Lean–Green Manufacturing System Based on Carbon Benefit and Its Application

Decision-Making Model of Mechanical Components in a Lean–Green Manufacturing System Based on Carbon Benefit and Its Application

Investigating the influence of lean manufacturing approach on environmental performance: A systematic literature review

Lean and Green: The Green Foundry Simulation Model

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