An environmental benefits and costs assessment model for remanufacturing process under quality uncertainty

Liao, Haolan; Deng, Qianwang; Wang, Yuanrui; Guo, Shuxiang; Ren, Quan

doi:10.1016/j.jclepro.2017.12.256

Cited by 79 publications

(23 citation statements)

References 31 publications

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“…Golinska and Kuebler [24] evaluated the sustainability of remanufacturing enterprises from the dimensions of economic, ecological and social. Liao et al [25] and Shi [26] proposed a quantitative model to comprehensively assess the environmental benefits and cost of remanufacturing under quality uncertainty. Van et al [27] developed a decision support tool to quickly evaluate the attractiveness of remanufacturing on economic and environmental.…”

Section: Evaluation On the Remanufacturing Ecological Performancementioning

confidence: 99%

Data-driven ecological performance evaluation for remanufacturing process

Jiang

Ding

Zhang

et al. 2019

Energy Conversion and Management

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Remanufacturing has received extensive attention due to its advantages in material and energy saving, emission reduction and is often considered a viable approach for the realization of a circular economy. Remanufacturing ecological performance reflects the ability of an enterprise to balance economic and environmental benefits. Therefore, evaluating the remanufacturing ecological performance is of great significance for leveraging the benefits of remanufacturing and promoting the concept of sustainability and the implementation of a circular economy in the industry. To this end, a set of data-driven techniques, i.e., data envelopment analysis, R clustering and grey relational analysis, are deployed to analyze and evaluate the ecological performance of a remanufacturing process. The effectiveness and feasibility of the proposed method are illustrated via a case study of remanufacturing for hydraulic cylinder and boom cylinder. Furthermore, a number of critical factors, e.g., energy-saving rate, remanufacturing process cost and rate of remanufacturing, for end-of-life products have been identified as the key drivers impacting the remanufacturing ecological performance. So as to improve remanufacturing ecological performance, optimizing production technology, implementing lean remanufacturing and raising public acceptability over remanufacturing products are effective measures. The research results of the present work can provide support for remanufacturing enterprises to guide and improve their ecological performance and formulate better development strategies.

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Section: Evaluation On the Remanufacturing Ecological Performancementioning

confidence: 99%

Data-driven ecological performance evaluation for remanufacturing process

Jiang

Ding

Zhang

et al. 2019

Energy Conversion and Management

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show abstract

“…(2) EI Function Construction EI can be expressed by many indicators, among which carbon emissions are commonly recognized indicators, and have been widely used in the EI evaluation of various engineering problems [23][24][25][26]. Therefore, the EI of reconditioning process of used components can be expressed by carbon emissions.…”

Section: (1) Manufacturing Value Function Constructionmentioning

confidence: 99%

Research on Ecological Efficiency for the Remanufacturing Process Considering Optimization and Evaluation

2019

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The ecological efficiency (EE) of the remanufacturing process occupies an important position in the whole index system of remanufacturing because it will directly affect the economic and environmental benefits of remanufacturing. Therefore, in order to study the EE of the remanufacturing process, a method is proposed to optimize and evaluate the EE of the remanufacturing process. In this method, firstly, the original remanufacturing sub-schemes of used components are designed according to the extracted fault characteristics; secondly, a set of optional process schemes are integrated by using directed graph (DG) to reduce the process schemes; thirdly, the objective function of EE is established, and then an ant colony algorithm with elite strategy (ES-ACO) is proposed to optimize the process schemes. After obtaining the optimal value of EE, the quality coefficient of used components can be calculated, and then numerical simulations (NS) are used to analyze the correlation between the quality coefficient and the optimized EE, after that, polynomial function fitting (PFF) is applied to construct the evaluation model of EE oriented to the quality coefficient, then, the evaluation model is utilized to analyze the range of quality coefficient of used components suitable for remanufacturing under cost constraints. Finally, the feasibility of this method is verified by the example of the used lathe spindle remanufacturing; and the case study shows that in the optimization phase, ES-ACO can not only optimize the process schemes but also has better performance than ACO; in the evaluation stage, the probability of deviation of the evaluation function established by using PFF is 5%, meeting the small probability event. (i.e., the occurrence of very low-frequency events), that is, the accuracy of the evaluation meets the requirements.

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“…And a joint production and maintenance problem is addressed by Ndhaief under environmental constraints and reliability issues in a manufacturing/remanufacturing context [18]. Similarly, environmental benefits and costs assessment model for remanufacturing process under quality uncertainty is studied by Liao [19]. Furthermore, lean remanufacturing is used as a tool to improve the performance of reassembly system by Vasanthakumar [20,21], and to tackle remanufacturing process challenges and achieve shorter lead times [22].…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Control System of Remanufacturing Assembly for Improving Quality and Production Efficiency

Liu

Cai

Zhu³

et al. 2021

Preprint

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Remanufacturing has been considered to be one of the most effective ways to deal with sustainable manufacturing. The integration of intelligent technology and remanufacturing assembly system is a necessary way for the development of remanufacturing industry. This paper proposes an intelligent control system for improving the quality and production efficiency of the remanufacturing assembly (reassembly) systems. First, the state space model of reassembly is constructed and deduced to reveal the quality transfer and coupling mechanism of reassembly process. An optimization model of the reassembly scheme is established for minimizing the comprehensive cost. Then, an intelligent control system for reassembly process is proposed, which is a real-time monitoring and dynamic compensation response to address abnormal quality and to achieve intelligent control of reassembly process. The data model, information perception and fusion technology, real-time monitoring and dynamic compensation of reassembly quality are studied and implemented. Finally, the prototype intelligent control system of reassembly is developed, which illustrates its practicability offering a technical support for sustainability of remanufacturing. It can monitor the abnormal quality in real time and make dynamic compensation response, and realize the intelligent control of reassembly process. It plays a positive role in improving quality, reducing cost and enhancing customer satisfaction. This intelligent control method is more suitable for the reassembly system of complex machinery, especially under uncertain operating environment.

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An environmental benefits and costs assessment model for remanufacturing process under quality uncertainty

Cited by 79 publications

References 31 publications

Data-driven ecological performance evaluation for remanufacturing process

Data-driven ecological performance evaluation for remanufacturing process

Research on Ecological Efficiency for the Remanufacturing Process Considering Optimization and Evaluation

An Intelligent Control System of Remanufacturing Assembly for Improving Quality and Production Efficiency

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