Proactive remanufacturing timing determination method based on residual strength

Song, Shouxu; Liu, Ming; Ke, Qingdi; Huang, Haihong

doi:10.1080/00207543.2015.1012599

Cited by 16 publications

(3 citation statements)

References 24 publications

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“…Existing works on remanufacturing timing decisions often either ignore both types of uncertainties in transition dynamics of a remanufacturing system or only focus on the internal variation. For example, Song et al (2015) determine remanufacturing timing based on a deterministic degradation process charaterized by residual strength factors. Wang et al (2016) recommend remanufacturing based on online monitoring: Products are remanufactured when it reaches the limit condition beyond which the product is no longer remanufacturable.…”

Section: Remanufacturing Planningmentioning

confidence: 99%

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Robust Remanufacturing Planning with Parameter Uncertainty

Zhu¹,

Xiang²,

Zhao³

et al. 2021

Preprint

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We consider the problem of remanufacturing planning in the presence of statistical estimation errors. Determining the optimal remanufacturing timing, first and foremost, requires modeling of the state transitions of a system. The estimation of these probabilities, however, often suffers from data inadequacy and is far from accurate, resulting in serious degradation in performance.To mitigate the impacts of the uncertainty in transition probabilities, we develop a novel datadriven modeling framework for remanufacturing planning in which decision makers can remain robust with respect to statistical estimation errors. We model the remanufacturing planning problem as a robust Markov decision process, and construct ambiguity sets that contain the true transition probability distributions with high confidence. We further establish structural properties of optimal robust policies and insights for remanufacturing planning. A computational study on the NASA turbofan engine shows that our data-driven decision framework consistently yields better worst-case performances and higher reliability of the performance guarantee.

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Section: Remanufacturing Planningmentioning

confidence: 99%

“…Current remanufacturing practices mainly consider end-of-life products. Such a reactive approach has a number of drawbacks (Sutherland et al, 2008;Song et al, 2015). First, for many products, remanufacturability is significantly reduced due to no adequate techniques to remanufacture retired products.…”

mentioning

confidence: 99%

Robust Remanufacturing Planning with Parameter Uncertainty

Zhu¹,

Xiang²,

Zhao³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…A solution to answer the preservation of regeneration problem is not waiting for the end-of-life of the equipment. In that, for example, (Song et al, 2015) study the most critical component of a system to determine when to stop the exploitation of this system and remanufacturing it. In other words, the authors propose to make proactive remanufacturing.…”

Section: Anticipationmentioning

confidence: 99%

Maintenance best way for meeting the challenge of regeneration

2016

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The circular economy is an economy that meets sustainable requirements, and that advocates a new paradigm, the paradigm of regeneration. This paradigm allows creating new businesses, new jobs and new skills all along about the product lifecycle. This is especially the case for maintenance and retirement processes. Indeed, these processes are the regeneration core. Those of retirements do not sum up to destructuring process but match also with repair, reuse and disassembly processes. As for maintenance, it becomes the cornerstone of all this. Through all its current skills, it allows managing and optimizing the regeneration by deciding when to stop a use and where studied items should go. Besides, maintenance must adapt to the regeneration. In other words, tools and methods used by maintenance can be able to maintain the regeneration potential of an item, and thus, create new jobs and experts. The purpose of this paper is to highlight the major challenges brought by the paradigm of regeneration to maintenance.

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