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Automated software for streamlining optimisation of resource planning for an additive manufacturing system

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Automated software for streamlining optimisation of resource planning for an additive manufacturing system. / Lupeanu, Mihaela; Rosu, Maria-Magdalena; Doicin, Cristian et al.
Proceedings of 3rd International Conference Advances in Engineering & Management (ADEM 2014). 2014.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Lupeanu, M, Rosu, M-M, Doicin, C, Rennie, A & Neagu, C 2014, Automated software for streamlining optimisation of resource planning for an additive manufacturing system. in Proceedings of 3rd International Conference Advances in Engineering & Management (ADEM 2014). 3rd International Conference Advances in Engineering and Management (ADEM 2014), Drobeta Turnu-Severin, Romania, 11/09/14. <http://www.imst.ro/adem/>

APA

Lupeanu, M., Rosu, M.-M., Doicin, C., Rennie, A., & Neagu, C. (2014). Automated software for streamlining optimisation of resource planning for an additive manufacturing system. In Proceedings of 3rd International Conference Advances in Engineering & Management (ADEM 2014) http://www.imst.ro/adem/

Vancouver

Lupeanu M, Rosu MM, Doicin C, Rennie A, Neagu C. Automated software for streamlining optimisation of resource planning for an additive manufacturing system. In Proceedings of 3rd International Conference Advances in Engineering & Management (ADEM 2014). 2014

Author

Lupeanu, Mihaela ; Rosu, Maria-Magdalena ; Doicin, Cristian et al. / Automated software for streamlining optimisation of resource planning for an additive manufacturing system. Proceedings of 3rd International Conference Advances in Engineering & Management (ADEM 2014). 2014.

Bibtex

@inproceedings{8bd8026adb3449fda1ed47bde698edbc,
title = "Automated software for streamlining optimisation of resource planning for an additive manufacturing system",
abstract = "The use of additive manufacturing (AM) systems in scale production has rapidly increased in recent years. The growing tendency to adopt AM technologies into established manufacturing systems has led to research that considers the optimisation of both process and resource planning. In order to maximise the outputs of such a production process, planning must be conducted rigorously. This paper proposes an automated software tool, called EasyPlan, which streamlines the optimisation of resource planning. The algorithm is developed using LabVIEW and is demonstrated for an AM component from the medical industry. For the evaluation process, parameters such as stock levels, delivery terms and technical charts of the products are provided. A user friendly interface is developed, making EasyPlan versatile to all types of environments.",
keywords = "Automated Resource Planning, Additive Manufacturing, Customised Implants, Production Average Rate",
author = "Mihaela Lupeanu and Maria-Magdalena Rosu and Cristian Doicin and Allan Rennie and Corneliu Neagu",
year = "2014",
month = sep,
language = "English",
isbn = "9786068232492",
booktitle = "Proceedings of 3rd International Conference Advances in Engineering & Management (ADEM 2014)",
note = "3rd International Conference Advances in Engineering and Management (ADEM 2014) ; Conference date: 11-09-2014 Through 12-09-2014",

}

RIS

TY - GEN

T1 - Automated software for streamlining optimisation of resource planning for an additive manufacturing system

AU - Lupeanu, Mihaela

AU - Rosu, Maria-Magdalena

AU - Doicin, Cristian

AU - Rennie, Allan

AU - Neagu, Corneliu

PY - 2014/9

Y1 - 2014/9

N2 - The use of additive manufacturing (AM) systems in scale production has rapidly increased in recent years. The growing tendency to adopt AM technologies into established manufacturing systems has led to research that considers the optimisation of both process and resource planning. In order to maximise the outputs of such a production process, planning must be conducted rigorously. This paper proposes an automated software tool, called EasyPlan, which streamlines the optimisation of resource planning. The algorithm is developed using LabVIEW and is demonstrated for an AM component from the medical industry. For the evaluation process, parameters such as stock levels, delivery terms and technical charts of the products are provided. A user friendly interface is developed, making EasyPlan versatile to all types of environments.

AB - The use of additive manufacturing (AM) systems in scale production has rapidly increased in recent years. The growing tendency to adopt AM technologies into established manufacturing systems has led to research that considers the optimisation of both process and resource planning. In order to maximise the outputs of such a production process, planning must be conducted rigorously. This paper proposes an automated software tool, called EasyPlan, which streamlines the optimisation of resource planning. The algorithm is developed using LabVIEW and is demonstrated for an AM component from the medical industry. For the evaluation process, parameters such as stock levels, delivery terms and technical charts of the products are provided. A user friendly interface is developed, making EasyPlan versatile to all types of environments.

KW - Automated Resource Planning

KW - Additive Manufacturing

KW - Customised Implants

KW - Production Average Rate

M3 - Conference contribution/Paper

SN - 9786068232492

BT - Proceedings of 3rd International Conference Advances in Engineering & Management (ADEM 2014)

T2 - 3rd International Conference Advances in Engineering and Management (ADEM 2014)

Y2 - 11 September 2014 through 12 September 2014

ER -