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Article

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

1
School of Economics & Management, Shaoyang University, Shaoyang 422000, China
2
School of Computer and Information, Qiannan Normal University for Nationalities, Duyun 558000, China
3
Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Province, Duyun 558000, China
4
Key Laboratory of Complex Systems and Intelligent Optimization of Qiannan, Duyun 558000, China
*
Author to whom correspondence should be addressed.
Processes 2022, 10(11), 2297; https://doi.org/10.3390/pr10112297
Submission received: 19 October 2022 / Revised: 2 November 2022 / Accepted: 3 November 2022 / Published: 4 November 2022
(This article belongs to the Special Issue Automation Control Systems & Process Control for Industry 4.0)

Abstract

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.
Keywords: carbon benefit; carbon efficiency; carbon emission; process decision-making; lean–green carbon benefit; carbon efficiency; carbon emission; process decision-making; lean–green

Share and Cite

MDPI and ACS Style

Zhu, X.; Xiao, Y.; Xiao, G. Decision-Making Model of Mechanical Components in a Lean–Green Manufacturing System Based on Carbon Benefit and Its Application. Processes 2022, 10, 2297. https://doi.org/10.3390/pr10112297

AMA Style

Zhu X, Xiao Y, Xiao G. Decision-Making Model of Mechanical Components in a Lean–Green Manufacturing System Based on Carbon Benefit and Its Application. Processes. 2022; 10(11):2297. https://doi.org/10.3390/pr10112297

Chicago/Turabian Style

Zhu, Xiaoyong, Yongmao Xiao, and Gongwei Xiao. 2022. "Decision-Making Model of Mechanical Components in a Lean–Green Manufacturing System Based on Carbon Benefit and Its Application" Processes 10, no. 11: 2297. https://doi.org/10.3390/pr10112297

APA Style

Zhu, X., Xiao, Y., & Xiao, G. (2022). Decision-Making Model of Mechanical Components in a Lean–Green Manufacturing System Based on Carbon Benefit and Its Application. Processes, 10(11), 2297. https://doi.org/10.3390/pr10112297

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