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Cite this DOI

10.46243/jst.2020.v5.i5.pp154-161 · Computational Experiments on Workflow Balancing of Parallel Machine Scheduling with Precedence Constraints and Sequence Independent Setup Time

APA (7th edition)

Longman Publishers (2020). Computational Experiments on Workflow Balancing of Parallel Machine Scheduling with Precedence Constraints and Sequence Independent Setup Time. *Journal of Science & Technology*, 154–161. https://doi.org/10.46243/jst.2020.v5.i5.pp154-161

⬇ text Italics are shown as *asterisks* in plain text — the journal or book title and the volume.

BibTeX

@article{anon2020computational,
  title     = {{Computational Experiments on Workflow Balancing of Parallel Machine Scheduling with Precedence Constraints and Sequence Independent Setup Time}},
  journal   = {Journal of Science \& Technology},
  year      = {2020},
  month     = {oct},
  number    = {Volume 5},
  pages     = {154--161},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2020.v5.i5.pp154-161},
  url       = {https://doi.org/10.46243/jst.2020.v5.i5.pp154-161},
  language  = {en},
  abstract  = {The workflow balancing of parallel machines scheduling (PMS) with precedence constraints and sequence independent setup time is considered for study. The setup time consideration produces alternate schedule along with lesser relative percentage of imbalance (RPI) value for PMS problem is demonstrated with an example. The lesser RPI indicates better workflow balancing among machines. The computational experiments are conducted on large instances of randomly generated PMS problems with precedent constraints and setup time. The various combinations of heuristics are used to solve the problems. The results show that genetic algorithm (GA) performs well against the other heuristics with lesser RPI values}
}

⬇ .bib

RIS (EndNote, Zotero, Mendeley)

TY  - JOUR
TI  - Computational Experiments on Workflow Balancing of Parallel Machine Scheduling with Precedence Constraints and Sequence Independent Setup Time
JO  - Journal of Science & Technology
PY  - 2020
DA  - 2020/10/12/
IS  - Volume 5
SP  - 154
EP  - 161
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - The workflow balancing of parallel machines scheduling (PMS) with precedence constraints and sequence independent setup time is considered for study. The setup time consideration produces alternate schedule along with lesser relative percentage of imbalance (RPI) value for PMS problem is demonstrated with an example. The lesser RPI indicates better workflow balancing among machines. The computational experiments are conducted on large instances of randomly generated PMS problems with precedent constraints and setup time. The various combinations of heuristics are used to solve the problems. The results show that genetic algorithm (GA) performs well against the other heuristics with lesser RPI values
DO  - 10.46243/jst.2020.v5.i5.pp154-161
UR  - https://doi.org/10.46243/jst.2020.v5.i5.pp154-161
ER  -

⬇ .ris

CSL-JSON

{
    "type": "article-journal",
    "id": "10.46243/jst.2020.v5.i5.pp154-161",
    "DOI": "10.46243/jst.2020.v5.i5.pp154-161",
    "URL": "https://doi.org/10.46243/jst.2020.v5.i5.pp154-161",
    "title": "Computational Experiments on Workflow Balancing of Parallel Machine Scheduling with Precedence Constraints and Sequence Independent Setup Time",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "issued": {
        "date-parts": [
            [
                2020,
                10,
                12
            ]
        ]
    },
    "issue": "Volume 5",
    "page": "154-161",
    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "The workflow balancing of parallel machines scheduling (PMS) with precedence constraints and sequence independent setup time is considered for study. The setup time consideration produces alternate schedule along with lesser relative percentage of imbalance (RPI) value for PMS problem is demonstrated with an example. The lesser RPI indicates better workflow balancing among machines. The computational experiments are conducted on large instances of randomly generated PMS problems with precedent constraints and setup time. The various combinations of heuristics are used to solve the problems. The results show that genetic algorithm (GA) performs well against the other heuristics with lesser RPI values",
    "ISSN": "2456-5660"
}

⬇ .json What citeproc and reference managers read; the DOI system hands it out for Accept: application/vnd.citationstyles.csl+json, and so does this registry's resolver.

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