Gantt chart for scheduling problems

Version 1.0.2 (2,07 ko) par Alessandro Bozzi

The gantt_scheduling function creates a Gantt chart to visualize job scheduling on machines, with and without duplicate machines across jobs

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The 'gantt_scheduling' function generates a Gantt chart to visualize the scheduling of jobs across multiple machines over time. The function supports scenarios with and without duplicate machine mappings.

PARAMETERS:

startTime (matrix): A J x M matrix where each element startTime(j, m) represents the start time of job j on machine m.
completionTime (matrix): A J x M matrix where each element completionTime(j, m) represents the completion time of job j on machine m.
M (integer): The total number of machines.
J (integer): The total number of jobs.
graph_title (string, optional): The title of the Gantt chart.
M0 (integer, optional): The number of original machines before considering duplicates. This parameter is required if map_duplicate is provided.
map_duplicate (matrix, optional): A matrix that maps duplicate machines to their original machine indices. The first column indicates the duplicate machine index, and the second column indicates the corresponding original machine index. This parameter is used if there are duplicate machine mappings. Note: All machines must be present in this matrix. Thus, for non-duplicated machines, the value in the first column (duplicate machine value) must be equal to the second column (original machine value).

USAGE:

Without Duplicates: If neither M0 nor map_duplicate is provided, the function assumes there are no duplicate machines.
With Duplicates: If M0 and map_duplicate are provided, the function adjusts the Gantt chart to account for duplicate machine mappings.

DEPENDENCIES:

maxdistcolor: A function from MATLAB File Exchange used to generate distinguishable colors for jobs.
legendUnq: A function from MATLAB File Exchange used to create unique legends for the chart

Citation pour cette source

Bozzi, Alessandro, et al. “Dynamic MPC-Based Scheduling in a Smart Manufacturing System Problem.” IEEE Access, vol. 11, Institute of Electrical and Electronics Engineers (IEEE), 2023, pp. 141987–96, doi:10.1109/access.2023.3341504.

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Compatibilité avec les versions de MATLAB

Créé avec R2024a

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Inspiré par : Maximally Distinct Color Generator, legendUnq

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gantt_scheduling

Version	Publié le	Notes de version
1.0.2	23 mai 2024	Added a more precise explanation of the map_duplicate variable to help user in building properly the matrix.	Télécharger
1.0.1	23 mai 2024	Graph title is now an optional parameter to speed up function call	Télécharger
1.0.0	23 mai 2024		Télécharger

MLA	Bozzi, Alessandro, et al. “Dynamic MPC-Based Scheduling in a Smart Manufacturing System Problem.” IEEE Access, vol. 11, Institute of Electrical and Electronics Engineers (IEEE), 2023, pp. 141987–96, doi:10.1109/access.2023.3341504.
APA	Bozzi, A., Graffione, S., Sacile, R., & Zero, E. (2023). Dynamic MPC-Based Scheduling in a Smart Manufacturing System Problem. IEEE Access, 11, 141987–141996. Institute of Electrical and Electronics Engineers (IEEE). Retrieved from http://dx.doi.org/10.1109/ACCESS.2023.3341504
BibTeX	@article{Bozzi_2023, title={Dynamic MPC-Based Scheduling in a Smart Manufacturing System Problem}, volume={11}, ISSN={2169-3536}, url={http://dx.doi.org/10.1109/ACCESS.2023.3341504}, DOI={10.1109/access.2023.3341504}, journal={IEEE Access}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Bozzi, Alessandro and Graffione, Simone and Sacile, Roberto and Zero, Enrico}, year={2023}, pages={141987–141996} }