---
_id: '5678'
abstract:
- lang: eng
  text: Many academic disciplines - including information systems, computer science,
    and operations management - face scheduling problems as important decision making
    tasks. Since many scheduling problems are NP-hard in the strong sense, there is
    a need for developing solution heuristics. For scheduling problems with setup
    times on unrelated parallel machines, there is limited research on solution methods
    and to the best of our knowledge, parallel computer architectures have not yet
    been taken advantage of. We address this gap by proposing and implementing a new
    solution heuristic and by testing different parallelization strategies. In our
    computational experiments, we show that our heuristic calculates near-optimal
    solutions even for large instances and that computing time can be reduced substantially
    by our parallelization approach.
author:
- first_name: Gerhard
  full_name: Rauchecker, Gerhard
  last_name: Rauchecker
- first_name: Guido
  full_name: Schryen, Guido
  id: '72850'
  last_name: Schryen
citation:
  ama: 'Rauchecker G, Schryen G. High-Performance Computing for Scheduling Decision
    Support: A Parallel Depth-First Search Heuristic. In: <i>Australasian Conference
    on Information Systems</i>. ; 2015:1-13.'
  apa: 'Rauchecker, G., &#38; Schryen, G. (2015). High-Performance Computing for Scheduling
    Decision Support: A Parallel Depth-First Search Heuristic. In <i>Australasian
    Conference on Information Systems</i> (pp. 1–13).'
  bibtex: '@inproceedings{Rauchecker_Schryen_2015, title={High-Performance Computing
    for Scheduling Decision Support: A Parallel Depth-First Search Heuristic}, booktitle={Australasian
    Conference on Information Systems}, author={Rauchecker, Gerhard and Schryen, Guido},
    year={2015}, pages={1–13} }'
  chicago: 'Rauchecker, Gerhard, and Guido Schryen. “High-Performance Computing for
    Scheduling Decision Support: A Parallel Depth-First Search Heuristic.” In <i>Australasian
    Conference on Information Systems</i>, 1–13, 2015.'
  ieee: 'G. Rauchecker and G. Schryen, “High-Performance Computing for Scheduling
    Decision Support: A Parallel Depth-First Search Heuristic,” in <i>Australasian
    Conference on Information Systems</i>, 2015, pp. 1–13.'
  mla: 'Rauchecker, Gerhard, and Guido Schryen. “High-Performance Computing for Scheduling
    Decision Support: A Parallel Depth-First Search Heuristic.” <i>Australasian Conference
    on Information Systems</i>, 2015, pp. 1–13.'
  short: 'G. Rauchecker, G. Schryen, in: Australasian Conference on Information Systems,
    2015, pp. 1–13.'
date_created: 2018-11-14T15:39:50Z
date_updated: 2022-01-06T07:02:30Z
ddc:
- '000'
department:
- _id: '277'
extern: '1'
file:
- access_level: open_access
  content_type: application/pdf
  creator: hsiemes
  date_created: 2018-12-07T11:40:18Z
  date_updated: 2018-12-13T15:08:28Z
  file_id: '6031'
  file_name: ACIS_2015_paper_7.pdf
  file_size: 6771871
  relation: main_file
file_date_updated: 2018-12-13T15:08:28Z
has_accepted_license: '1'
keyword:
- scheduling
- decision support
- heuristic
- high performance computing
- parallel algorithms
language:
- iso: eng
oa: '1'
page: 1-13
publication: Australasian Conference on Information Systems
status: public
title: 'High-Performance Computing for Scheduling Decision Support: A Parallel Depth-First
  Search Heuristic'
type: conference
user_id: '61579'
year: '2015'
...