The online quality control method for reassembly based on state space model

Liu, Mingzhou; Liu, Conghu; Ge, Maogen; Zhang, Yuan; Liu, Zhengqiong

doi:10.1016/j.jclepro.2016.07.116

Cited by 19 publications

(6 citation statements)

References 21 publications

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“…It can guide reassembly operations to improve the reassembly quality with uncertainty of remanufactured parts. Compared with the other reassembly quality control method (Ge et al, 2014;Hu et al, 2016;Liu et al, 2018a) and remanufacturing classification method (Liu et al, 2016a(Liu et al, , 2016b(Liu et al, , 2016c, this study can define the relationship between the uncertainty and the quality of the remanufactured assembly and provide accurate quantitative guidance for the operation and control of the reassembly station. In terms of above analysis, the proposed method has advantages for online quality control for reassembly (Figure 2).…”

Section: Discussionmentioning

confidence: 99%

“…First, the relationship between the uncertainty of remanufactured cylinder head and the reassembly quality is accurately fitted, and the coupling mechanism of reassembly quality for remanufactured cylinder head is revealed. It can guide the remanufacturing processing and provide support to Figure 2 Taking the online quality control method for reassembly, for example (Liu et al, 2016c) improve the reassembly quality of remanufacturing engine. Second, it is able to identify the uncertainty affecting to the reassembly quality, which is the key control object to improve the qualified rate.…”

Section: Discussionmentioning

confidence: 99%

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The coupling mechanism of reassembly quality with uncertainty of remanufactured parts

Zhang

Liu

et al. 2019

Self Cite

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Purpose The uncertainty of remanufacturing parts is a key factor affecting the quality of remanufactured products. Therefore, the purpose of this paper is to measure the uncertainty of remanufactured parts and study the coupling mechanism of reassembly quality. Design/methodology/approach First, uncertainty of remanufactured parts is analyzed, and the uncertainty measure model for remanufacturing parts based on entropy is constructed. Second, the nonlinear mapping model between the uncertainty and reassembly quality were studied using Gauss-Newton iterative method to reveal the coupling mechanism between uncertainty of remanufacturing parts and reassembly quality. Finally, the model is verified in the reassembly process of remanufacturing cylinder head. Findings The method can guide reassembly operations to improve the reassembly quality with uncertainty of remanufactured parts. Originality/value This study provides practical implications by developing a multivariate nonlinear mapping model for reassembly quality based on entropy to determine the uncertainty factors that affect the reassembly quality significantly and then correct the reassembly operation to better optimize the allocation of remanufacturing production resources. The study also theoretically contributes to reveal the coupling mechanism of reassembly quality with the uncertainty of remanufactured parts.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

The coupling mechanism of reassembly quality with uncertainty of remanufactured parts

Zhang

Liu

et al. 2019

Self Cite

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“…Studies benefit supply chains as they found that small recoverable product inventories have variations in return arrivals and quality of recoverable products, which in turn affects the completion of customer's orders. Liu et al [106] constructed a model on a remanufactured crankshaft taking assembly operation and part attributes as input and assembly quality as the output. Afterward, they created a transfer function for assembly quality, which was then used to characterize the coupling mechanism of assembly error.…”

Section: Repairmentioning

confidence: 99%

A Qualitative and Quantitative Analysis of Remanufacturing Research

et al. 2021

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The advancements in human lifestyle result in growth in daily demands of products, and accordingly, an increased rate of manufacturing. However, the resources on the planet Earth are limited, thus depleting day-by-day. More goods also contribute to more end-of-life (EOL) dumping or even before EOL in some cases. Therefore, an interest in remanufacturing has appeared, and it offers a solution that can solve or perhaps mitigate the risks of consuming more resources and increasing waste. Remanufacturing is a procedure of bringing used products to “like-new” functional status with a matching warranty. However, due to its relative novelty in terms of research field and industry, remanufacturing is poorly understood. People often mix it with other terms such as recycling, reconditioning, or repair. Therefore, in this research, the focus is on the remanufacturing systems’ definition, relevance, main phases, case studies, and solution methods proposed by various researchers. The word ‘remanufacturing’ is clearly described in this paper by differentiating it from alternative green manufacturing initiatives. Both qualitative and quantitative analysis of literature are performed. The quantitative analysis is conducted using a bibliometric method. For quantitative analysis, a systematic approach is utilized for research papers’ selection. The qualitative analysis has been carried out by discussing different aspects of remanufacturing and how the researchers are working on its different domains and phases. The review showed that researchers focused on some phases more as compared with others. Moreover, it is also revealed from the literature that the common solutions methods applied in this domain are optimization techniques. Future research directions are also identified and presented.

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“…Manufacturing is an important part of the global economy and a key industry to promote the development of green products (Cai et al, 2018;Liu et al, 2016). Given the increasing severity of environmental problems, policy makers are focusing on promoting green manufacturing (GM) in enterprises through national sustainable development strategies (Cai et al, 2019;Geng et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Coordination in a composite green-product supply chain under different power structures

Lou

Lai

et al. 2020

IMDS

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PurposeThe purpose of this paper is to find the optimal power structure that drives green practices in the supply chain and coordinate the costs and benefits of green practices in supply chain under different power structures.Design/methodology/approachThis paper developed a supply chain of one supplier and one manufacturer, in which the supplier and the manufacturer are responsible for the “greening” of products. Then, the game theory modeling method is used to explore the influence of different power structures on green practices in the supply chain. Finally, the authors developed a green cost-sharing contract made by the leader; regarding optimal supply chain profits and green performance, the proposed contracts and the non-coordination situation are compared and tested by a numerical simulation.FindingsThe increase of the green practice difficulty of any member in the supply chain will not only reduce the greenness of products at that stage but will also reduce the green investment of the supply chain partner. Becoming a channel leader does not necessarily mean being more profitable than being a follower, and when the green practice difficulty of the leader is less than a certain threshold, ceding dominant power to the follower may benefit both sides. A green cost-sharing contract made by the leader is not necessarily beneficial to all enterprises.Originality/valueThis paper helps to better understand the role of the power relation in realizing the industry's green goals and helps decision-makers to achieve win-win cooperation by adjusting power relations and optimizing green cost-sharing contracts.

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The online quality control method for reassembly based on state space model

Cited by 19 publications

References 21 publications

The coupling mechanism of reassembly quality with uncertainty of remanufactured parts

The coupling mechanism of reassembly quality with uncertainty of remanufactured parts

A Qualitative and Quantitative Analysis of Remanufacturing Research

Coordination in a composite green-product supply chain under different power structures

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