Fuzzy tactical project planning: Application to helicopter maintenance

M. Masmoudi; Erwin W. Hans; A. Hait

doi:10.1109/ETFA.2011.6059048

Fuzzy tactical project planning: Application to helicopter maintenance

M. Masmoudi, Erwin W. Hans, A. Hait

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

6 Citations (Scopus)

1 Downloads (Pure)

Abstract

Inspired by a helicopter maintenance planning problem, we study the integration of uncertainties into tactical multi-resource, multi-project planning (Rough Cut Capacity Planning). We model uncertainty by a fuzzy/possibilistic approach instead of a stochastic approach to be able to develop robust plans in situations where very limited data is available. We refer to the problem as the Fuzzy Rough Cut Capacity Problem (FR-CCP). We propose an adaptation of periodic workload to fuzziness, and develop a simulated annealing meta-heuristic to solve the capacity planning problem. We apply this method to the helicopter maintenance activity within the frame of a French industrial project called Helimaintenance.

Original language	English
Title of host publication	Proceedings of the IEEE Symposium on Emerging Technologies and Factory Automation, EFTA 2011
Publisher	IEEE
DOIs	https://doi.org/10.1109/ETFA.2011.6059048
Publication status	Published - 24 Oct 2011
Event	16th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2011 - Toulouse, France Duration: 5 Sept 2011 → 9 Sept 2011 Conference number: 16

Conference

Conference	16th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2011
Abbreviated title	ETFA
Country/Territory	France
City	Toulouse
Period	5/09/11 → 9/09/11

Keywords

METIS-280438

Access to Document

10.1109/ETFA.2011.6059048

Cite this

@inproceedings{57f14ac298844db1bccbe659d5a30559,

title = "Fuzzy tactical project planning: Application to helicopter maintenance",

abstract = "Inspired by a helicopter maintenance planning problem, we study the integration of uncertainties into tactical multi-resource, multi-project planning (Rough Cut Capacity Planning). We model uncertainty by a fuzzy/possibilistic approach instead of a stochastic approach to be able to develop robust plans in situations where very limited data is available. We refer to the problem as the Fuzzy Rough Cut Capacity Problem (FR-CCP). We propose an adaptation of periodic workload to fuzziness, and develop a simulated annealing meta-heuristic to solve the capacity planning problem. We apply this method to the helicopter maintenance activity within the frame of a French industrial project called Helimaintenance.",

keywords = "METIS-280438",

author = "M. Masmoudi and Hans, {Erwin W.} and A. Hait",

year = "2011",

month = oct,

day = "24",

doi = "10.1109/ETFA.2011.6059048",

language = "English",

booktitle = "Proceedings of the IEEE Symposium on Emerging Technologies and Factory Automation, EFTA 2011",

publisher = "IEEE",

address = "United States",

note = "16th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2011, ETFA ; Conference date: 05-09-2011 Through 09-09-2011",

}

Masmoudi, M, Hans, EW & Hait, A 2011, Fuzzy tactical project planning: Application to helicopter maintenance. in Proceedings of the IEEE Symposium on Emerging Technologies and Factory Automation, EFTA 2011. IEEE, 16th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2011, Toulouse, France, 5/09/11. https://doi.org/10.1109/ETFA.2011.6059048

TY - GEN

T1 - Fuzzy tactical project planning: Application to helicopter maintenance

AU - Masmoudi, M.

AU - Hans, Erwin W.

AU - Hait, A.

N1 - Conference code: 16

PY - 2011/10/24

Y1 - 2011/10/24

N2 - Inspired by a helicopter maintenance planning problem, we study the integration of uncertainties into tactical multi-resource, multi-project planning (Rough Cut Capacity Planning). We model uncertainty by a fuzzy/possibilistic approach instead of a stochastic approach to be able to develop robust plans in situations where very limited data is available. We refer to the problem as the Fuzzy Rough Cut Capacity Problem (FR-CCP). We propose an adaptation of periodic workload to fuzziness, and develop a simulated annealing meta-heuristic to solve the capacity planning problem. We apply this method to the helicopter maintenance activity within the frame of a French industrial project called Helimaintenance.

AB - Inspired by a helicopter maintenance planning problem, we study the integration of uncertainties into tactical multi-resource, multi-project planning (Rough Cut Capacity Planning). We model uncertainty by a fuzzy/possibilistic approach instead of a stochastic approach to be able to develop robust plans in situations where very limited data is available. We refer to the problem as the Fuzzy Rough Cut Capacity Problem (FR-CCP). We propose an adaptation of periodic workload to fuzziness, and develop a simulated annealing meta-heuristic to solve the capacity planning problem. We apply this method to the helicopter maintenance activity within the frame of a French industrial project called Helimaintenance.

KW - METIS-280438

U2 - 10.1109/ETFA.2011.6059048

DO - 10.1109/ETFA.2011.6059048

M3 - Conference contribution

BT - Proceedings of the IEEE Symposium on Emerging Technologies and Factory Automation, EFTA 2011

PB - IEEE

T2 - 16th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2011

Y2 - 5 September 2011 through 9 September 2011

ER -

Fuzzy tactical project planning: Application to helicopter maintenance

Abstract

Conference

Keywords

Access to Document

Fingerprint

Cite this