---
_id: '15414'
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: Schryen G. Integrating Management Science into the HPC Research Ecosystem.
Communications of the ACM. 2020;63(9):35-37.
apa: Schryen, G. (2020). Integrating Management Science into the HPC Research Ecosystem.
Communications of the ACM, 63(9), 35–37.
bibtex: '@article{Schryen_2020, title={Integrating Management Science into the HPC
Research Ecosystem}, volume={63}, number={9}, journal={Communications of the ACM},
author={Schryen, Guido}, year={2020}, pages={35–37} }'
chicago: 'Schryen, Guido. “Integrating Management Science into the HPC Research
Ecosystem.” Communications of the ACM 63, no. 9 (2020): 35–37.'
ieee: G. Schryen, “Integrating Management Science into the HPC Research Ecosystem,”
Communications of the ACM, vol. 63, no. 9, pp. 35–37, 2020.
mla: Schryen, Guido. “Integrating Management Science into the HPC Research Ecosystem.”
Communications of the ACM, vol. 63, no. 9, 2020, pp. 35–37.
short: G. Schryen, Communications of the ACM 63 (2020) 35–37.
date_created: 2019-12-28T14:27:44Z
date_updated: 2022-01-06T06:52:25Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2019-12-28T14:30:03Z
date_updated: 2020-03-05T10:36:48Z
file_id: '15415'
file_name: Bringing HPC to management science - Web version.pdf
file_size: 186658
relation: main_file
file_date_updated: 2020-03-05T10:36:48Z
has_accepted_license: '1'
intvolume: ' 63'
issue: '9'
language:
- iso: eng
oa: '1'
page: 35 - 37
publication: Communications of the ACM
status: public
title: Integrating Management Science into the HPC Research Ecosystem
type: journal_article
user_id: '61579'
volume: 63
year: '2020'
...
---
_id: '15513'
abstract:
- lang: eng
text: This interview is part of the special issue (01/2020) on “High Performance
Business Computing” to be published in the journal Business & Information Systems
Engineering. The interviewee Utz-Uwe Haus is Senior Research Engineer @ CRAY European
Research Lab (CERL)). A bio of him is included at the end of the interview.
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Natalia
full_name: Kliewer, Natalia
last_name: Kliewer
- first_name: Andreas
full_name: Fink, Andreas
last_name: Fink
citation:
ama: 'Schryen G, Kliewer N, Fink A. Interview with Utz-Uwe Haus on “High Performance
Computing in Economic Environments: Opportunities and Challenges". Business
& Information Systems Engineering. 2020;62(01/2020):21-23.'
apa: 'Schryen, G., Kliewer, N., & Fink, A. (2020). Interview with Utz-Uwe Haus
on “High Performance Computing in Economic Environments: Opportunities and Challenges".
Business & Information Systems Engineering, 62(01/2020), 21–23.'
bibtex: '@article{Schryen_Kliewer_Fink_2020, title={Interview with Utz-Uwe Haus
on “High Performance Computing in Economic Environments: Opportunities and Challenges"},
volume={62}, number={01/2020}, journal={Business & Information Systems Engineering},
author={Schryen, Guido and Kliewer, Natalia and Fink, Andreas}, year={2020}, pages={21–23}
}'
chicago: 'Schryen, Guido, Natalia Kliewer, and Andreas Fink. “Interview with Utz-Uwe
Haus on “High Performance Computing in Economic Environments: Opportunities and
Challenges".” Business & Information Systems Engineering 62, no. 01/2020
(2020): 21–23.'
ieee: 'G. Schryen, N. Kliewer, and A. Fink, “Interview with Utz-Uwe Haus on “High
Performance Computing in Economic Environments: Opportunities and Challenges",”
Business & Information Systems Engineering, vol. 62, no. 01/2020, pp.
21–23, 2020.'
mla: 'Schryen, Guido, et al. “Interview with Utz-Uwe Haus on “High Performance Computing
in Economic Environments: Opportunities and Challenges".” Business & Information
Systems Engineering, vol. 62, no. 01/2020, 2020, pp. 21–23.'
short: G. Schryen, N. Kliewer, A. Fink, Business & Information Systems Engineering
62 (2020) 21–23.
date_created: 2020-01-13T13:23:51Z
date_updated: 2022-01-06T06:52:28Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: closed
content_type: application/pdf
creator: hsiemes
date_created: 2020-01-13T13:22:27Z
date_updated: 2021-08-12T11:41:55Z
file_id: '15516'
file_name: Interview Utz-Uwe Haus (Cray) - BISE SI HPBC - Prepublication version.pdf
file_size: 82469
relation: main_file
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2021-08-12T11:41:21Z
date_updated: 2021-08-12T11:41:21Z
file_id: '23386'
file_name: Schryen2020_Article_InterviewWithUtz-UweHausOnHigh.pdf
file_size: 226595
relation: main_file
file_date_updated: 2021-08-12T11:41:55Z
has_accepted_license: '1'
intvolume: ' 62'
issue: 01/2020
language:
- iso: eng
oa: '1'
page: 21 - 23
publication: Business & Information Systems Engineering
status: public
title: 'Interview with Utz-Uwe Haus on “High Performance Computing in Economic Environments:
Opportunities and Challenges"'
type: journal_article
user_id: '61579'
volume: 62
year: '2020'
...
---
_id: '15022'
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Schryen G. Parallel computational optimization in operations research: A new
integrative framework, literature review and research directions. European
Journal of Operational Research. 2020;287(1):1-18.'
apa: 'Schryen, G. (2020). Parallel computational optimization in operations research:
A new integrative framework, literature review and research directions. European
Journal of Operational Research, 287(1), 1–18.'
bibtex: '@article{Schryen_2020, title={Parallel computational optimization in operations
research: A new integrative framework, literature review and research directions},
volume={287}, number={1}, journal={European Journal of Operational Research},
publisher={Elsevier}, author={Schryen, Guido}, year={2020}, pages={1–18} }'
chicago: 'Schryen, Guido. “Parallel Computational Optimization in Operations Research:
A New Integrative Framework, Literature Review and Research Directions.” European
Journal of Operational Research 287, no. 1 (2020): 1–18.'
ieee: 'G. Schryen, “Parallel computational optimization in operations research:
A new integrative framework, literature review and research directions,” European
Journal of Operational Research, vol. 287, no. 1, pp. 1–18, 2020.'
mla: 'Schryen, Guido. “Parallel Computational Optimization in Operations Research:
A New Integrative Framework, Literature Review and Research Directions.” European
Journal of Operational Research, vol. 287, no. 1, Elsevier, 2020, pp. 1–18.'
short: G. Schryen, European Journal of Operational Research 287 (2020) 1–18.
date_created: 2019-11-18T11:11:00Z
date_updated: 2022-01-06T06:52:15Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2019-11-18T11:11:56Z
date_updated: 2020-03-05T10:37:02Z
file_id: '15023'
file_name: LR - OR and parallelization.pdf
file_size: 832170
relation: main_file
file_date_updated: 2020-03-05T10:37:02Z
has_accepted_license: '1'
intvolume: ' 287'
issue: '1'
language:
- iso: eng
oa: '1'
page: 1 - 18
publication: European Journal of Operational Research
publisher: Elsevier
status: public
title: 'Parallel computational optimization in operations research: A new integrative
framework, literature review and research directions'
type: journal_article
user_id: '61579'
volume: 287
year: '2020'
...
---
_id: '16249'
abstract:
- lang: eng
text: Timing plays a crucial role in the context of information security investments.
We regard timing in two dimensions, namely the time of announcement in relation
to the time of investment and the time of announcement in relation to the time
of a fundamental security incident. The financial value of information security
investments is assessed by examining the relationship between the investment announcements
and their stock market reaction focusing on the two time dimensions. Using an
event study methodology, we found that both dimensions influence the stock market
return of the investing organization. Our results indicate that (1) after fundamental
security incidents in a given industry, the stock price will react more positively
to a firm’s announcement of actual information security investments than to announcements
of the intention to invest; (2) the stock price will react more positively to
a firm’s announcements of the intention to invest after the fundamental security
incident compared to before; and (3) the stock price will react more positively
to a firm’s announcements of actual information security investments after the
fundamental security incident compared to before. Overall, the lowest abnormal
return can be expected when the intention to invest is announced before a fundamental
information security incident and the highest return when actual investing after
a fundamental information security incident in the respective industry.
author:
- first_name: Eva
full_name: Szubartowicz, Eva
last_name: Szubartowicz
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Szubartowicz E, Schryen G. Timing in Information Security: An Event Study
on the Impact of Information Security Investment Announcements. Journal of
Information System Security. 2020;16(1):3-31.'
apa: 'Szubartowicz, E., & Schryen, G. (2020). Timing in Information Security:
An Event Study on the Impact of Information Security Investment Announcements.
Journal of Information System Security, 16(1), 3–31.'
bibtex: '@article{Szubartowicz_Schryen_2020, title={Timing in Information Security:
An Event Study on the Impact of Information Security Investment Announcements},
volume={16}, number={1}, journal={Journal of Information System Security}, publisher={Information
Institute Publishing, Washington DC, USA}, author={Szubartowicz, Eva and Schryen,
Guido}, year={2020}, pages={3–31} }'
chicago: 'Szubartowicz, Eva, and Guido Schryen. “Timing in Information Security:
An Event Study on the Impact of Information Security Investment Announcements.”
Journal of Information System Security 16, no. 1 (2020): 3–31.'
ieee: 'E. Szubartowicz and G. Schryen, “Timing in Information Security: An Event
Study on the Impact of Information Security Investment Announcements,” Journal
of Information System Security, vol. 16, no. 1, pp. 3–31, 2020.'
mla: 'Szubartowicz, Eva, and Guido Schryen. “Timing in Information Security: An
Event Study on the Impact of Information Security Investment Announcements.” Journal
of Information System Security, vol. 16, no. 1, Information Institute Publishing,
Washington DC, USA, 2020, pp. 3–31.'
short: E. Szubartowicz, G. Schryen, Journal of Information System Security 16 (2020)
3–31.
date_created: 2020-03-05T10:29:00Z
date_updated: 2022-01-06T06:52:47Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2020-03-05T10:26:11Z
date_updated: 2020-03-05T10:35:49Z
file_id: '16250'
file_name: Timing in Information Security - JISSEC format PREPUBLICATION.pdf
file_size: 478056
relation: main_file
file_date_updated: 2020-03-05T10:35:49Z
has_accepted_license: '1'
intvolume: ' 16'
issue: '1'
keyword:
- Event Study
- Information Security
- Investment Announcements
- Stock Price Reaction
- Value of Information Security Investments
language:
- iso: eng
oa: '1'
page: 3 - 31
publication: Journal of Information System Security
publisher: Information Institute Publishing, Washington DC, USA
status: public
title: 'Timing in Information Security: An Event Study on the Impact of Information
Security Investment Announcements'
type: journal_article
user_id: '61579'
volume: 16
year: '2020'
...
---
_id: '11946'
abstract:
- lang: eng
text: "Literature reviews (LRs) play an important role in the development of domain
knowledge in all fields. Yet, we observe a\r\nlack of insights into the activities
with which LRs actually develop knowledge. To address this important gap, we (1)\r\nderive
knowledge building activities from the extant literature on LRs, (2) suggest a
knowledge-based typology of LRs\r\nthat complements existing typologies, and (3)
apply the suggested typology in an empirical study that explores how LRs\r\nwith
different goals and methodologies have contributed to knowledge development. The
analysis of 240 LRs published\r\nin 40 renowned IS journals between 2000 and 2014
allows us to draw a detailed picture of knowledge development\r\nachieved by one
of the most important genres in the IS field. An overarching contribution of our
work is to unify extant\r\nconceptualizations of LRs by clarifying and illustrating
how LRs apply different methodologies in a range of knowledge\r\nbuilding activities
to achieve their goals with respect to theory."
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Gerit
full_name: Wagner, Gerit
last_name: Wagner
- first_name: Alexander
full_name: Benlian, Alexander
last_name: Benlian
- first_name: Guy
full_name: Paré, Guy
last_name: Paré
citation:
ama: 'Schryen G, Wagner G, Benlian A, Paré G. A Knowledge Development Perspective
on Literature Reviews: Validation of a New Typology in the IS Field. Communications
of the AIS. 2020;46:134-186. doi:10.17705/1CAIS.04607'
apa: 'Schryen, G., Wagner, G., Benlian, A., & Paré, G. (2020). A Knowledge Development
Perspective on Literature Reviews: Validation of a New Typology in the IS Field.
Communications of the AIS, 46, 134–186. https://doi.org/10.17705/1CAIS.04607'
bibtex: '@article{Schryen_Wagner_Benlian_Paré_2020, title={A Knowledge Development
Perspective on Literature Reviews: Validation of a New Typology in the IS Field},
volume={46}, DOI={10.17705/1CAIS.04607},
journal={Communications of the AIS}, author={Schryen, Guido and Wagner, Gerit
and Benlian, Alexander and Paré, Guy}, year={2020}, pages={134–186} }'
chicago: 'Schryen, Guido, Gerit Wagner, Alexander Benlian, and Guy Paré. “A Knowledge
Development Perspective on Literature Reviews: Validation of a New Typology in
the IS Field.” Communications of the AIS 46 (2020): 134–86. https://doi.org/10.17705/1CAIS.04607.'
ieee: 'G. Schryen, G. Wagner, A. Benlian, and G. Paré, “A Knowledge Development
Perspective on Literature Reviews: Validation of a New Typology in the IS Field,”
Communications of the AIS, vol. 46, pp. 134–186, 2020, doi: 10.17705/1CAIS.04607.'
mla: 'Schryen, Guido, et al. “A Knowledge Development Perspective on Literature
Reviews: Validation of a New Typology in the IS Field.” Communications of the
AIS, vol. 46, 2020, pp. 134–86, doi:10.17705/1CAIS.04607.'
short: G. Schryen, G. Wagner, A. Benlian, G. Paré, Communications of the AIS 46
(2020) 134–186.
date_created: 2019-07-12T12:01:02Z
date_updated: 2022-06-10T06:38:58Z
ddc:
- '000'
department:
- _id: '277'
doi: 10.17705/1CAIS.04607
file:
- access_level: open_access
content_type: application/pdf
creator: schryen
date_created: 2020-02-26T18:12:29Z
date_updated: 2020-03-05T10:36:15Z
file_id: '16115'
file_name: RA-18-198.pdf
file_size: 1146830
relation: main_file
file_date_updated: 2020-03-05T10:36:15Z
has_accepted_license: '1'
intvolume: ' 46'
keyword:
- Literature review
- knowledge development
- knowledge building activities
- knowledge-based typology
- information systems research
language:
- iso: eng
oa: '1'
page: 134-186
publication: Communications of the AIS
publication_identifier:
issn:
- ' 1529-3181'
status: public
title: 'A Knowledge Development Perspective on Literature Reviews: Validation of a
New Typology in the IS Field'
type: journal_article
user_id: '72850'
volume: 46
year: '2020'
...
---
_id: '14985'
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Natalia
full_name: Kliewer, Natalia
last_name: Kliewer
- first_name: Andreas
full_name: Fink, Andreas
last_name: Fink
citation:
ama: Schryen G, Kliewer N, Fink A. High Performance Business Computing. Business
& Information Systems Engineering. 2020;62(1):1-3. doi:10.1007/s12599-019-00622-2
apa: Schryen, G., Kliewer, N., & Fink, A. (2020). High Performance Business
Computing. Business & Information Systems Engineering, 62(1),
1–3. https://doi.org/10.1007/s12599-019-00622-2
bibtex: '@article{Schryen_Kliewer_Fink_2020, title={High Performance Business Computing},
volume={62}, DOI={10.1007/s12599-019-00622-2},
number={1}, journal={Business & Information Systems Engineering}, author={Schryen,
Guido and Kliewer, Natalia and Fink, Andreas}, year={2020}, pages={1–3} }'
chicago: 'Schryen, Guido, Natalia Kliewer, and Andreas Fink. “High Performance Business
Computing.” Business & Information Systems Engineering 62, no. 1 (2020):
1–3. https://doi.org/10.1007/s12599-019-00622-2.'
ieee: 'G. Schryen, N. Kliewer, and A. Fink, “High Performance Business Computing,”
Business & Information Systems Engineering, vol. 62, no. 1, pp. 1–3,
2020, doi: 10.1007/s12599-019-00622-2.'
mla: Schryen, Guido, et al. “High Performance Business Computing.” Business &
Information Systems Engineering, vol. 62, no. 1, 2020, pp. 1–3, doi:10.1007/s12599-019-00622-2.
short: G. Schryen, N. Kliewer, A. Fink, Business & Information Systems Engineering
62 (2020) 1–3.
date_created: 2019-11-14T10:49:39Z
date_updated: 2022-06-10T06:15:40Z
ddc:
- '000'
department:
- _id: '277'
doi: 10.1007/s12599-019-00622-2
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2019-11-14T10:52:41Z
date_updated: 2020-03-05T10:37:36Z
file_id: '14986'
file_name: Schryen2019_Article_HighPerformanceBusinessComputi.pdf
file_size: 161538
relation: main_file
file_date_updated: 2020-03-05T10:37:36Z
has_accepted_license: '1'
intvolume: ' 62'
issue: '1'
language:
- iso: eng
oa: '1'
page: 1-3
publication: Business & Information Systems Engineering
status: public
title: High Performance Business Computing
type: journal_article
user_id: '72850'
volume: 62
year: '2020'
...
---
_id: '13175'
abstract:
- lang: eng
text: "Today, organizations must deal with a plethora of IT security threats and
to ensure smooth and\r\nuninterrupted business operations, firms are challenged
to predict the volume of IT security vulnerabilities\r\nand allocate resources
for fixing them. This challenge requires decision makers to assess\r\nwhich system
or software packages are prone to vulnerabilities, how many post-release vulnerabilities\r\ncan
be expected to occur during a certain period of time, and what impact exploits
might have.\r\nSubstantial research has been dedicated to techniques that analyze
source code and detect security\r\nvulnerabilities. However, only limited research
has focused on forecasting security vulnerabilities\r\nthat are detected and reported
after the release of software. To address this shortcoming, we apply\r\nestablished
methodologies which are capable of forecasting events exhibiting specific time
series\r\ncharacteristics of security vulnerabilities, i.e., rareness of occurrence,
volatility, non-stationarity,\r\nand seasonality. Based on a dataset taken from
the National Vulnerability Database (NVD), we use\r\nthe Mean Absolute Error (MAE)
and Root Mean Square Error (RMSE) to measure the forecasting\r\naccuracy of single,
double, and triple exponential smoothing methodologies, Croston's methodology,\r\nARIMA,
and a neural network-based approach. We analyze the impact of the applied forecasting\r\nmethodology
on the prediction accuracy with regard to its robustness along the dimensions
of the\r\nexamined system and software package \"operating systems\", \"browsers\"
and \"office solutions\" and\r\nthe applied metrics. To the best of our knowledge,
this study is the first to analyze the effect\r\nof forecasting methodologies
and to apply metrics that are suitable in this context. Our results\r\nshow that
the optimal forecasting methodology depends on the software or system package,
as some\r\nmethodologies perform poorly in the context of IT security vulnerabilities,
that absolute metrics\r\ncan cover the actual prediction error precisely, and
that the prediction accuracy is robust within the\r\ntwo applied forecasting-error
metrics."
article_type: original
author:
- first_name: Emrah
full_name: Yasasin, Emrah
last_name: Yasasin
- first_name: Julian
full_name: Prester, Julian
last_name: Prester
- first_name: Gerit
full_name: Wagner, Gerit
last_name: Wagner
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: Yasasin E, Prester J, Wagner G, Schryen G. Forecasting IT Security Vulnerabilities
- An Empirical Analysis. Computers & Security. 2020;88(January).
apa: Yasasin, E., Prester, J., Wagner, G., & Schryen, G. (2020). Forecasting
IT Security Vulnerabilities - An Empirical Analysis. Computers & Security,
88(January).
bibtex: '@article{Yasasin_Prester_Wagner_Schryen_2020, title={Forecasting IT Security
Vulnerabilities - An Empirical Analysis}, volume={88}, number={January}, journal={Computers
& Security}, author={Yasasin, Emrah and Prester, Julian and Wagner, Gerit
and Schryen, Guido}, year={2020} }'
chicago: Yasasin, Emrah, Julian Prester, Gerit Wagner, and Guido Schryen. “Forecasting
IT Security Vulnerabilities - An Empirical Analysis.” Computers & Security
88, no. January (2020).
ieee: E. Yasasin, J. Prester, G. Wagner, and G. Schryen, “Forecasting IT Security
Vulnerabilities - An Empirical Analysis,” Computers & Security, vol.
88, no. January, 2020.
mla: Yasasin, Emrah, et al. “Forecasting IT Security Vulnerabilities - An Empirical
Analysis.” Computers & Security, vol. 88, no. January, 2020.
short: E. Yasasin, J. Prester, G. Wagner, G. Schryen, Computers & Security 88
(2020).
date_created: 2019-09-09T18:24:45Z
date_updated: 2022-10-19T15:27:51Z
ddc:
- '000'
department:
- _id: '195'
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: schryen
date_created: 2019-09-09T18:24:35Z
date_updated: 2019-09-09T18:24:35Z
file_id: '13176'
file_name: Forecasting_IT_Security_Vulnerabilities.pdf
file_size: 894663
relation: main_file
file_date_updated: 2019-09-09T18:24:35Z
has_accepted_license: '1'
intvolume: ' 88'
issue: January
language:
- iso: eng
oa: '1'
publication: Computers & Security
publication_identifier:
issn:
- 0167-4048
publication_status: published
status: public
title: Forecasting IT Security Vulnerabilities - An Empirical Analysis
type: journal_article
user_id: '72850'
volume: 88
year: '2020'
...
---
_id: '5674'
abstract:
- lang: eng
text: In disaster operations management, a challenging task for rescue organizations
occurs when they have to assign and schedule their rescue units to emerging incidents
under time pressure in order to reduce the overall resulting harm. Of particular
importance in practical scenarios is the need to consider collaboration of rescue
units. This task has hardly been addressed in the literature. We contribute to
both modeling and solving this problem by (1) conceptualizing the situation as
a type of scheduling problem, (2) modeling it as a binary linear minimization
problem, (3) suggesting a branch-and-price algorithm, which can serve as both
an exact and heuristic solution procedure, and (4) conducting computational experiments
- including a sensitivity analysis of the effects of exogenous model parameters
on execution times and objective value improvements over a heuristic suggested
in the literature - for different practical disaster scenarios. The results of
our computational experiments show that most problem instances of practically
feasible size can be solved to optimality within ten minutes. Furthermore, even
when our algorithm is terminated once the first feasible solution has been found,
this solution is in almost all cases competitive to the optimal solution and substantially
better than the solution obtained by the best known algorithm from the literature.
This performance of our branch-and-price algorithm enables rescue organizations
to apply our procedure in practice, even when the time for decision making is
limited to a few minutes. By addressing a very general type of scheduling problem,
our approach applies to various scheduling situations.
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. An Exact Branch-and-Price Algorithm for Scheduling
Rescue Units during Disaster Response. European Journal of Operational Research.
2019;272(1):352-363.
apa: Rauchecker, G., & Schryen, G. (2019). An Exact Branch-and-Price Algorithm
for Scheduling Rescue Units during Disaster Response. European Journal of Operational
Research, 272(1), 352–363.
bibtex: '@article{Rauchecker_Schryen_2019, title={An Exact Branch-and-Price Algorithm
for Scheduling Rescue Units during Disaster Response}, volume={272}, number={1},
journal={European Journal of Operational Research}, publisher={Elsevier}, author={Rauchecker,
Gerhard and Schryen, Guido}, year={2019}, pages={352–363} }'
chicago: 'Rauchecker, Gerhard, and Guido Schryen. “An Exact Branch-and-Price Algorithm
for Scheduling Rescue Units during Disaster Response.” European Journal of
Operational Research 272, no. 1 (2019): 352–63.'
ieee: G. Rauchecker and G. Schryen, “An Exact Branch-and-Price Algorithm for Scheduling
Rescue Units during Disaster Response,” European Journal of Operational Research,
vol. 272, no. 1, pp. 352–363, 2019.
mla: Rauchecker, Gerhard, and Guido Schryen. “An Exact Branch-and-Price Algorithm
for Scheduling Rescue Units during Disaster Response.” European Journal of
Operational Research, vol. 272, no. 1, Elsevier, 2019, pp. 352–63.
short: G. Rauchecker, G. Schryen, European Journal of Operational Research 272 (2019)
352–363.
date_created: 2018-11-14T15:35:27Z
date_updated: 2022-01-06T07:02:28Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2018-12-07T11:13:12Z
date_updated: 2018-12-13T15:16:37Z
file_id: '6019'
file_name: JOURNAL VERSION.pdf
file_size: 1470310
relation: main_file
file_date_updated: 2018-12-13T15:16:37Z
has_accepted_license: '1'
intvolume: ' 272'
issue: '1'
keyword:
- OR in disaster relief
- disaster operations management
- scheduling
- branch-and-price
language:
- iso: eng
oa: '1'
page: 352 - 363
publication: European Journal of Operational Research
publisher: Elsevier
status: public
title: An Exact Branch-and-Price Algorithm for Scheduling Rescue Units during Disaster
Response
type: journal_article
user_id: '61579'
volume: 272
year: '2019'
...
---
_id: '6512'
abstract:
- lang: eng
text: Scheduling problems are essential for decision making in many academic disciplines,
including operations management, computer science, and information systems. Since
many scheduling problems are NP-hard in the strong sense, there is only limited
research on exact algorithms and how their efficiency scales when implemented
on parallel computing architectures. We address this gap by (1) adapting an exact
branch-and-price algorithm to a parallel machine scheduling problem on unrelated
machines with sequence- and machine-dependent setup times, (2) parallelizing the
adapted algorithm by implementing a distributed-memory parallelization with a
master/worker approach, and (3) conducting extensive computational experiments
using up to 960 MPI processes on a modern high performance computing cluster.
With our experiments, we show that the efficiency of our parallelization approach
can lead to superlinear speedup but can vary substantially between instances.
We further show that the wall time of serial execution can be substantially reduced
through our parallelization, in some cases from 94 hours to less than six minutes
when our algorithm is executed on 960 processes.
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. Using High Performance Computing for Unrelated Parallel
Machine Scheduling with Sequence-Dependent Setup Times: Development and Computational
Evaluation of a Parallel Branch-and-Price Algorithm. Computers & Operations
Research. 2019;(104):338-357.'
apa: 'Rauchecker, G., & Schryen, G. (2019). Using High Performance Computing
for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times:
Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm.
Computers & Operations Research, (104), 338–357.'
bibtex: '@article{Rauchecker_Schryen_2019, title={Using High Performance Computing
for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times:
Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm},
number={104}, journal={Computers & Operations Research}, publisher={Elsevier},
author={Rauchecker, Gerhard and Schryen, Guido}, year={2019}, pages={338–357}
}'
chicago: 'Rauchecker, Gerhard, and Guido Schryen. “Using High Performance Computing
for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times:
Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm.”
Computers & Operations Research, no. 104 (2019): 338–57.'
ieee: 'G. Rauchecker and G. Schryen, “Using High Performance Computing for Unrelated
Parallel Machine Scheduling with Sequence-Dependent Setup Times: Development and
Computational Evaluation of a Parallel Branch-and-Price Algorithm,” Computers
& Operations Research, no. 104, pp. 338–357, 2019.'
mla: 'Rauchecker, Gerhard, and Guido Schryen. “Using High Performance Computing
for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times:
Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm.”
Computers & Operations Research, no. 104, Elsevier, 2019, pp. 338–57.'
short: G. Rauchecker, G. Schryen, Computers & Operations Research (2019) 338–357.
date_created: 2019-01-08T13:50:44Z
date_updated: 2022-01-06T07:03:08Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2019-01-08T14:03:53Z
date_updated: 2019-01-08T14:03:53Z
file_id: '6513'
file_name: cor-parallel-bp-for-upmsp.pdf
file_size: 4153528
relation: main_file
file_date_updated: 2019-01-08T14:03:53Z
has_accepted_license: '1'
issue: '104'
keyword:
- parallel machine scheduling with setup times
- parallel branch-and-price algorithm
- high performance computing
- master/worker parallelization
language:
- iso: eng
oa: '1'
page: 338-357
publication: Computers & Operations Research
publisher: Elsevier
status: public
title: 'Using High Performance Computing for Unrelated Parallel Machine Scheduling
with Sequence-Dependent Setup Times: Development and Computational Evaluation of
a Parallel Branch-and-Price Algorithm'
type: journal_article
user_id: '61579'
year: '2019'
...
---
_id: '6514'
abstract:
- lang: eng
text: Recommender Agents (RAs) facilitate consumers’ online purchase decisions for
complex, multi-attribute products. As not all combinations of attribute levels
can be obtained, users are forced into trade-offs. The exposure of trade-offs
in a RA has been found to affect consumers’ perceptions. However, little is known
about how different preference elicitation methods in RAs affect consumers by
varying degrees of trade-off exposure. We propose a research model that investigates
how different levels of trade-off exposure cognitively and affectively influence
consumers’ satisfaction with RAs. We operationalize these levels in three different
RA types and test our hypotheses in a laboratory experiment with 116 participants.
Our results indicate that with increasing tradeoff exposure, perceived enjoyment
and perceived control follow an inverted Ushaped relationship. Hence, RAs using
preference elicitation methods with medium trade-off exposure yield highest consumer
satisfaction. This contributes to the understanding of trade-offs in RAs and provides
valuable implications to e-commerce practitioners.
author:
- first_name: Veronika
full_name: Schuhbeck, Veronika
last_name: Schuhbeck
- first_name: Nils
full_name: Siegfried, Nils
last_name: Siegfried
- first_name: Verena
full_name: Dorner, Verena
last_name: Dorner
- first_name: Alexander
full_name: Benlian, Alexander
last_name: Benlian
- first_name: Michael
full_name: Scholz, Michael
last_name: Scholz
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: 'Schuhbeck V, Siegfried N, Dorner V, Benlian A, Scholz M, Schryen G. Walking
the Middle Path: How Medium Trade-off Exposure Leads to Higher Consumer Satisfaction
in Recommender Agents. In: Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik.
Siegen, Germany; 2019:55-64.'
apa: 'Schuhbeck, V., Siegfried, N., Dorner, V., Benlian, A., Scholz, M., & Schryen,
G. (2019). Walking the Middle Path: How Medium Trade-off Exposure Leads to Higher
Consumer Satisfaction in Recommender Agents. In Proceedings of the 14. Internationale
Tagung Wirtschaftsinformatik (pp. 55–64). Siegen, Germany.'
bibtex: '@inproceedings{Schuhbeck_Siegfried_Dorner_Benlian_Scholz_Schryen_2019,
place={Siegen, Germany}, title={Walking the Middle Path: How Medium Trade-off
Exposure Leads to Higher Consumer Satisfaction in Recommender Agents}, booktitle={Proceedings
of the 14. Internationale Tagung Wirtschaftsinformatik}, author={Schuhbeck, Veronika
and Siegfried, Nils and Dorner, Verena and Benlian, Alexander and Scholz, Michael
and Schryen, Guido}, year={2019}, pages={55–64} }'
chicago: 'Schuhbeck, Veronika, Nils Siegfried, Verena Dorner, Alexander Benlian,
Michael Scholz, and Guido Schryen. “Walking the Middle Path: How Medium Trade-off
Exposure Leads to Higher Consumer Satisfaction in Recommender Agents.” In Proceedings
of the 14. Internationale Tagung Wirtschaftsinformatik, 55–64. Siegen, Germany,
2019.'
ieee: 'V. Schuhbeck, N. Siegfried, V. Dorner, A. Benlian, M. Scholz, and G. Schryen,
“Walking the Middle Path: How Medium Trade-off Exposure Leads to Higher Consumer
Satisfaction in Recommender Agents,” in Proceedings of the 14. Internationale
Tagung Wirtschaftsinformatik, Siegen, Germany, 2019, pp. 55–64.'
mla: 'Schuhbeck, Veronika, et al. “Walking the Middle Path: How Medium Trade-off
Exposure Leads to Higher Consumer Satisfaction in Recommender Agents.” Proceedings
of the 14. Internationale Tagung Wirtschaftsinformatik, 2019, pp. 55–64.'
short: 'V. Schuhbeck, N. Siegfried, V. Dorner, A. Benlian, M. Scholz, G. Schryen,
in: Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik, Siegen,
Germany, 2019, pp. 55–64.'
conference:
end_date: 2019-02-27
location: Siegen, Germany
name: 14th International Conference on Wirtschaftsinformatik
start_date: 2019-02-24
date_created: 2019-01-08T14:06:32Z
date_updated: 2022-01-06T07:03:09Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: closed
content_type: application/pdf
creator: hsiemes
date_created: 2019-01-08T14:07:17Z
date_updated: 2021-08-13T13:26:11Z
file_id: '6515'
file_name: WALKING THE MIDDLE PATH.pdf
file_size: 371490
relation: main_file
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2021-08-13T13:25:53Z
date_updated: 2021-08-13T13:25:53Z
file_id: '23393'
file_name: Walking the Middle Path_ How Medium Trade-Off Exposure Leads to H.pdf
file_size: 331001
relation: main_file
file_date_updated: 2021-08-13T13:26:11Z
has_accepted_license: '1'
keyword:
- Recommender Agents
- Preference Elicitation Method
- Trade-off Exposure
- Customer Satisfaction
language:
- iso: eng
oa: '1'
page: 55-64
place: Siegen, Germany
publication: Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik
status: public
title: 'Walking the Middle Path: How Medium Trade-off Exposure Leads to Higher Consumer
Satisfaction in Recommender Agents'
type: conference
user_id: '61579'
year: '2019'
...