Prescriptive analytics for understanding of out-of-plane deformation in additive manufacturing

Jin, Yuan; Qin, S. Joe; Huang, Qiang

doi:10.1109/coase.2016.7743482

Cited by 11 publications

(2 citation statements)

References 23 publications

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“…Prescription, in a way, is an adaptive, automated and time-dependent course of action generated under given objectives (Kumari et al, 2017;Vater et al, 2019). Prescriptive analytics is a self-evolving mechanism which continually adds new data to re-predict and represcribe, thus repeatedly improving the prediction accuracy and prescribing improved decision alternatives (Weng et al, 2008;Jin et al, 2016;Zhang et al, 2020). In the context of manufacturing, while prediction allows a user to see in the future state of its shop floor, prescription acts as a means of advising an action plan to guide the procedure of shaping the future (Inmon and Nesavich, 2007;Jain and Shao, 2014;Zhong et al, 2017;Wang et al, 2018;Zhang et al, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Developing a prescriptive decision support system for shop floor control

Kumari

Kulkarni

2022

IMDS

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PurposeThe reported study aims at connecting the two crucial aspects of manufacturing of future, i.e. advanced analytics and digital simulation, with an objective to facilitate real-time control of manufacturing operations. The work puts forward a framework for designing prescriptive decision support system for a multi-machine manufacturing environment.Design/methodology/approachThe schema of the decision support system design begins with the development of a simulation model for a manufacturing shop floor. The developed model facilitates prediction followed by prescription. As a connecting link between prediction and prescription mechanism, heuristics for intervention have been proposed. Sequential design and simulation-based demonstration of activities that span from development of a multi-machine shop floor model; a prediction mechanism and a scheme of intervention that ultimately leads to prescription generation are the highlights of the current work.FindingsThe study reveals that the effect of intervention on the observed predictors varies from one another. For a machine under observation, subject to same intervention scheme, while two of the predictive measures namely penalty and desirability stabilize after a certain point, a third measure, i.e. complexity, shows either an increase or decrease in percent change. The work objectively establishes that intervention plans have to be evaluated for every machine as well as for every environmental variable and emphasizes the need for dynamic evaluation and control mechanism.Originality/valueThe proposed prescriptive control mechanism has been demonstrated through a case of a high pressure die casting (HPDC) manufacturer.

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Section: Literature Reviewmentioning

confidence: 99%

Developing a prescriptive decision support system for shop floor control

Kumari

Kulkarni

2022

IMDS

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“…For this purpose the authors demonstrate a suitable IT architecture which enables the provision of various real time analyses [30]. Additive manufacturing (AM) is one of the most popular applications of data analytics in production [31]. A generic prescriptive analytic method to understand the geometric deformation of products in AM is the topic of Qin, Liu and Grosvenor.…”

Section: Data Processingmentioning

confidence: 99%

Smart Manufacturing with Prescriptive Analytics

Vater

Harscheidt

Knoll

2019

2019 8th International Conference on Industrial Technology and Management (ICITM)

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Automotive industry faces challenges in manufacturing like increasingly individualized products with a short lead-time to market and higher quality. Additionally to that, new technologies, such as Internet of Things (IoT), big data, data analytics and cloud computing, are changing the production into the next generation of industry. To address these challenges intelligent manufacturing in combination with data analytics plays an important role. In this sense, the integration of prescriptive analytics in manufacturing may help industry to increase productiveness. This paper provides first a comprehensive review of key elements for prescriptive analytics in manufacturing. Furthermore, this paper highlights requirements for a prescriptive analytics based production control, so called prescriptive automation, and finally points out field of activities in this topic.

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Modeling In-Plane Deviations of Shapes to Come Based on Prior Deviation Features in Additive Manufacturing

Sabbaghi

2019

Advances in Intelligent Systems and Computing

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Prescriptive analytics for understanding of out-of-plane deformation in additive manufacturing

Cited by 11 publications

References 23 publications

Developing a prescriptive decision support system for shop floor control

Developing a prescriptive decision support system for shop floor control

Smart Manufacturing with Prescriptive Analytics

Modeling In-Plane Deviations of Shapes to Come Based on Prior Deviation Features in Additive Manufacturing

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