Publikationen
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Hertweck, Corinna; Heitz, Christoph; Loi, Michele,
2021.
On the moral justification of statistical parity [Paper].
In:
Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency.
FAccT '21: 2021 ACM Conference on Fairness, Accountability, and Transparency, Virtual Event, Canada, 3-10 March 2021.
New York:
Association for Computing Machinery.
S.747-757.
Verfügbar unter: https://doi.org/10.1145/3442188.3445936
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Herrmann, Thomas,
2021.
Schnell reagierende Planungsalgorithmen für die Kundenauftragsproduktion [Poster].
In:
6. F&E-Konferenz zu Industrie 4.0, Online, 3. Februar 2021.
Verfügbar unter: https://www.industrie2025.ch/fileadmin/industrie2025/5_Veranstaltungen/F_E-Konferenz_2021/Praesentationen_fuer_Download/05_Thomas_Herrmann.pdf
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Ulmer, Markus; Jarlskog, Eskil; Pizza, Gianmarco; Goren Huber, Lilach,
2021.
Deep learning for fault detection : the path to predictive maintenance of wind turbines [Paper].
In:
Sammelband zu den 6. Energieforschungsgesprächen Disentis.
Energieforschungsgespräche Disentis 2021, Online, 20.-22. Januar 2021.
Disentis:
Stiftung Alpines Energieforschungscenter AlpEnForCe.
S.24-26.
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Lubbe, Sugnet; Filzmoser, Peter; Templ, Matthias,
2021.
Comparison of zero replacement strategies for compositional data with large numbers of zeros.
Chemometrics and Intelligent Laboratory Systems.
210(104248).
Verfügbar unter: https://doi.org/10.1016/j.chemolab.2021.104248
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2021.
Trends, reversion, and critical phenomena in financial markets.
Physica A: Statistical Mechanics and its Applications.
566(125642).
Verfügbar unter: https://doi.org/10.1016/j.physa.2020.125642
-
2020.
Artificial neural networks to impute rounded zeros in compositional data.
arXiv.org.
Verfügbar unter: https://doi.org/10.21256/zhaw-21964
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2020.
Anonymization and re-identification risk of personal data.
In:
Gästekolloquium Psychologisches Institut Universität Zürich, Zürich, 9. November 2020.
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Filzmoser, Peter; Lubbe, Sugnet; Templ, Matthias,
2020.
Strategies to replace high proportions of zeros in compositional data.
In:
1st Conference on Information Technology and Data Science, CITDS, Debrecen, Hungary / Online, 6-8 November 2020.
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Ulmer, Markus; Jarlskog, Eskil; Pizza, Gianmarco; Goren Huber, Lilach,
2020.
In:
Proceedings of the Annual Conference of the PHM Society 2020.
12th Annual Conference of the PHM Society, virtual, 9-13 November 2020.
PHM Society.
Verfügbar unter: https://doi.org/10.36001/phmconf.2020.v12i1.1205
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Meierhofer, Jürg; Homberger, Pascal,
2020.
Digitale Service Innovation in Wertschöpfungsnetzwerken : Anwendung im Getränkemarkt.
Servicetoday.
2020(4),
S.78-79.
Verfügbar unter: https://doi.org/10.21256/zhaw-20827
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Müller, Marianne; Haenni Hoti, Andrea,
2020.
Item analysis of the KIDSCREEN-10 using Rasch modelling.
Health and Quality of Life Outcomes.
18(1),
S.342-384.
Verfügbar unter: https://doi.org/10.1186/s12955-020-01596-6
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Weber, Maurice; Renggli, Cedric; Grabner, Helmut; Zhang, Ce,
2020.
Observer dependent lossy image compression [Paper].
In:
42nd German Conference on Pattern Recognition (DAGM-GCPR), virtual, 28 September - 1 October 2020.
Verfügbar unter: https://arxiv.org/abs/1910.03472
-
2020.
Scheduling jobs with a V-shaped time-dependent processing time.
Journal of Scheduling.
23(6),
S.751-768.
Verfügbar unter: https://doi.org/10.1007/s10951-020-00665-4
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Meierhofer, Jürg; Dobler, Martin; Frick, Klaus; Schweiger, Lukas,
2020.
Smart service patterns for small manufacturing enterprises [Paper].
In:
Bigdeli, Ali; Baines, Tim, Hrsg.,
Proceedings of the Spring Servitization Conference : Advanced Services for Sustainability and Growth.
Spring Servitization Conference "Advanced Services for Sustainability and Growth", Online, 14-16 September 2020.
Birmingham:
Aston University.
S.88-95.
Verfügbar unter: https://www.advancedservicesgroup.co.uk/ssc2020-proceedings
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West, Shaun; Meierhofer, Jürg; Stoll, Oliver; Schweiger, Lukas,
2020.
Value propositions enabled by digital twins in the context of servitization [Paper].
In:
Bigdeli, Ali; Baines, Tim, Hrsg.,
Proceedings of the Spring Servitization Conference : Advanced Services for Sustainability and Growth.
Spring Servitization Conference "Advanced Services for Sustainability and Growth", Online, 14-16 September 2020.
Birmingham:
Aston University.
S.152-160.
Verfügbar unter: https://www.advancedservicesgroup.co.uk/ssc2020-proceedings
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Müller, Marianne,
2020.
Item fit statistics for Rasch analysis : can we trust them?.
Journal of Statistical Distributions and Applications.
7(5).
Verfügbar unter: https://doi.org/10.1186/s40488-020-00108-7
-
2020.
Die Konvergenz von Digitalisierung und Servitisierung in der Industrie 4.0.
Aktuelle Technik.
2020(8),
S.32.
Verfügbar unter: https://doi.org/10.21256/zhaw-20432
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Sauermann, Stefan; Kanjala, Chifundo; Templ, Matthias; Austin, Claire C.,
2020.
Preservation of individuals’ privacy in shared COVID-19 related data.
SSRN.
Verfügbar unter: https://doi.org/10.2139/ssrn.3648430
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Ulmer, Markus; Jarlskog, Eskil; Pizza, Gianmarco; Manninen, Jaakko; Goren Huber, Lilach,
2020.
Early fault detection based on wind turbine SCADA data using convolutional neural networks [Paper].
In:
PHME 2020 : Proceedings of the 5th European Conference of the PHM Society.
5th European Conference of the Prognostics and Health Management Society, Virtual Conference, 27-31 July 2020.
PHM Society.
Verfügbar unter: https://doi.org/10.21256/zhaw-20433
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Meierhofer, Jürg; West, Shaun,
2020.
Data-driven decision support by digital twins in manufacturing [Paper].
In:
Proceedings of the 7th SDS.
7th Swiss Conference on Data Science, Lucerne, Switzerland, 26 June 2020.
IEEE.
S.53-54.
Verfügbar unter: https://doi.org/10.1109/SDS49233.2020.00019
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Pizza, Gianmarco; Notaristefano, Antonio; Fabbri, Gregory Sean; Goren Huber, Lilach,
2020.
An AI-based fault detection model using alarms and warnings from the SCADA system [Poster].
In:
Proceedings of the WindEurope Technology Workshop 2020.
WindEurope Technology Workshop 2020 : Resource Assessment & Analysis of Operating Wind Farms, online, 8-11 June 2020.
WindEurope.
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Meierhofer, Jürg; Heitz, Christoph,
2020.
Data-Driven Management zur Steigerung des Kundennutzens.
Netzwoche.
2020(07),
S.11.
Verfügbar unter: https://www.netzwoche.ch/news/2020-04-22/data-driven-management-zur-steigerung-des-kundennutzens
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Hübsch, Christine; Müller, Marianne; Spirig, Rebecca; Kleinknecht‐Dolf, Michael,
2020.
Journal of Nursing Management.
Verfügbar unter: https://doi.org/10.1111/jonm.13026
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Templ, Matthias; Heitz, Christoph,
2020.
Austrian Journal of Statistics.
49(2),
S.53-69.
Verfügbar unter: https://doi.org/10.17713/ajs.v49i2.1114
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Meierhofer, Jürg; West, Shaun; Rapaccini, Mario; Barbieri, Cosimo,
2020.
The digital twin as a service enabler : from the service ecosystem to the simulation model [Paper].
In:
Nóvoa, Henriqueta; Drăgoicea, Monica; Kühl, Niklas, Hrsg.,
IESS 2020 : Exploring Service Science.
10th International Conference on Exploring Service Science, Porto, Portugal, 5–7 February 2020.
Cham:
Springer.
S.347-359.
Lecture Notes in Business Information Processing ; 377.
Verfügbar unter: https://doi.org/10.1007/978-3-030-38724-2_25
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Wildi, Marc; McElroy, Tucker,
2020.
The multivariate linear prediction problem : model-based and direct filtering solutions.
Econometrics and Statistics.
14,
S.112-130.
Verfügbar unter: https://doi.org/10.1016/j.ecosta.2019.12.004
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Templ, Matthias; Templ, Barbara,
2020.
Analysis of chemical compounds in beverages : guidance for establishing a compositional analysis.
Food Chemistry.
325(126755).
Verfügbar unter: https://doi.org/10.1016/j.foodchem.2020.126755
-
2020.
Anonymisierung von personenbezogenen Daten.
In:
Winterkongress der Digitalen Gesellschaft, Zürich, 22. Februar 2020.
-
2020.
.
In:
Meierhofer, Jürg; Kugler, Petra, Hrsg.,
Data4KMU : Data Science für KMU leicht gemacht. Aktuelle Erkenntnisse und Lösungen.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften, School of Engineering.
S.69-79.
Verfügbar unter: http://bzi40.eu/informationen/publikationen/studien/382-abschlussbericht-data4kmu/file
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Meierhofer, Jürg; Etschmann, Roman; Dobler, Martin,
2020.
Data Science veranschaulichen : Demonstrator
.
In:
Meierhofer, Jürg; Kugler, Petra, Hrsg.,
Data4KMU : Data Science für KMU leicht gemacht. Aktuelle Erkenntnisse und Lösungen.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften, School of Engineering.
S.127-141.
Verfügbar unter: http://bzi40.eu/informationen/publikationen/studien/382-abschlussbericht-data4kmu/file
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Meierhofer, Jürg; Kugler, Petra, Hrsg.,
2020.
Data4KMU : Data Science für KMU leicht gemacht. Aktuelle Erkenntnisse und Lösungen.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Verfügbar unter: http://bzi40.eu/informationen/publikationen/studien/382-abschlussbericht-data4kmu
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2020.
Exploratives Lernen mittels Fallen stellen, Fehler provozieren und Feedback geben.
In:
IAS Tag der Lehre, Wädenswil, 8. Januar 2020.
-
2020.
Functional data analysis in Bayes spaces with an application to spatio-temporal population data.
In:
uRos 2020 Abstracts.
Use of R in Official Statistics 2020 : 8th international conference, virtual, 2-4 December 2020.
Statistik Austria.
Verfügbar unter: https://uros.hopto.org/
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Chen, Ying; Giudici, Paolo; Hadji Misheva, Branka; Trimborn, Simon,
2020.
Lead behaviour in Bitcoin markets.
Risks.
8(1),
S.4.
Verfügbar unter: https://doi.org/10.3390/risks8010004
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Bödi, Linda Helen; Grabner, Helmut,
2020.
Learning to ignore : fair and task independent representations.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Verfügbar unter: https://doi.org/10.21256/zhaw-21602
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Grize, Yves-Laurent; Fischer, Wolfram; Lützelschwab, Christian,
2020.
Machine learning applications in nonlife insurance.
Applied Stochastic Models in Business and Industry.
36(4),
S.523-537.
Verfügbar unter: https://doi.org/10.1002/asmb.2543
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Grize, Yves-Laurent; Fischer, Wolfram; Lützelschwab, Christian,
2020.
Machine learning applications in non‐life insurance : discussion rejoinder.
Applied Stochastic Models in Business and Industry.
36(4),
S.545-547.
Verfügbar unter: https://doi.org/10.1002/asmb.2564
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Rosadi, Dedi; Setiawan, Ezra Putranda; Templ, Matthias; Filzmoser, Peter,
2020.
Robust covariance estimators for mean-variance portfolio optimization with transaction lots.
Operations Research Perspectives.
7(100154).
Verfügbar unter: https://doi.org/10.1016/j.orp.2020.100154
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Mansor, Kamarul; Alexandru, Ciprian; Templ, Matthias, Hrsg.,
2020.
2019 4th International Conference on Computing, Mathematics and Statistics 2019 (iCMS2019), Kedah (Malaysia), 23-24 April, 2019.
Austrian Statistical Society.
.
Verfügbar unter: https://www.ajs.or.at/index.php/ajs/issue/view/93
-
2020.
Wiesbaden:
Springer.
ISBN 978-3-658-28414-5.
Verfügbar unter: https://doi.org/10.1007/978-3-658-28415-2
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Klinkert, Andreas; Fusek, Peter; Riesen, Bruno; Berner, Roman,
2019.
Automated airport staff scheduling at Swissport International Ltd..
IFORS News.
13(4),
S.2-4.
-
2019.
Big Data und Machine Learning in Industrie 4.0 : Perspektiven für Service-Modelle.
KunststoffXtra.
9(12),
S.19-21.
Verfügbar unter: https://issuu.com/sigwerbgmbh/docs/web_kx_12-2019/1?ff&showOtherPublicationsAsSuggestions=true&backgroundColorFullscreen=%23e8edf0
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Wüst, Raimond Matthias; Bütikofer, Stephan; Köchli, Joël; Ess, Severin,
2019.
In:
Proceedings of the 2nd International Railway Symposium Aachen 2019.
IRSA 2019 : 2nd International Railway Symposium, Aachen, Germany, 26-28 November 2019.
Aachen:
RWTH Aachen University.
S.226-244.
Verfügbar unter: https://doi.org/10.18154/RWTH-2019-11969
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Wildi, Marc; Bundi, Nils Andri; et al.,
2019.
Bitcoin and market-(in)efficiency : a systematic time series approach.
Digital Finance.
1(1),
S.47-65.
Verfügbar unter: https://doi.org/10.1007/s42521-019-00004-z
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Schweiger, Lukas; Meierhofer, Jürg,
2019.
Data-driven servitization of SMEs : assessment of success factors based on a multiple case study [Paper].
In:
Servitization 2019: 8th International Conference on Business Servitization (ICBS 2019), November 21-22, 2019 : book of abstracts.
8th International Conference on Business Servitization (ICBS), San Sebastian, Spain, November 21-22, 2019.
OmniaScience.
S.85-88.
-
2019.
Airport ground staff scheduling : a real-world business application.
In:
Smith Institute and Gurobi Optimization partnership event : Hitting it for six: using optimisation to unlock business efficiencies, London, 2 October 2019.
-
Meierhofer, Jürg; Heinatz Bürki, Gundula; Heitz, Christoph,
2019.
Unternehmer Zeitung.
25(10),
S.20-23.
-
Herrmann, Thomas; Sedding, Helmut,
2019.
Industrie 4.0 von morgen diskutiert.
Technische Rundschau.
111(10),
S.74-75.
-
Wüst, Raimond Matthias; Bütikofer, Stephan; Ess, Severin; Gomez, Claudio; Steiner, Albert; Laumanns, Marco; Szabo, Jacint; et al.,
2019.
Journal of Rail Transport Planning & Management.
11,
S.100146.
Verfügbar unter: https://doi.org/10.1016/j.jrtpm.2019.100146
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Herrmann, Thomas; Sedding, Helmut,
2019.
ZHAW Industrie 4.0.
Verfügbar unter: https://blog.zhaw.ch/industrie4null/2019/09/18/die-produktion-von-morgen/
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Wüst, Raimond; Bütikofer, Stephan; Ess, Severin; Gomez, Claudio; Steiner, Albert; Laumanns, Marco; Szabo, Jacint,
2019.
In:
Peterson, Anders; Joborn, Martin; Bohlin, Markus, Hrsg.,
RailNorrköping 2019.
8th International Conference on Railway Operations Modelling and Analysis, Norrköping, Sweden, 17-20 June 2019.
Linköpings universitet:
Linköping University Electronic Press.
S.1160-1177.
Linköping Electronic Conference Proceedings ; 69.
Verfügbar unter: https://doi.org/10.21256/zhaw-18282
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Bütikofer, Stephan; Wüst, Raimond Matthias; Ess, Severin,
2019.
Periodic timetabling with flexibility based on a mesoscopic topology.
In:
OR2019, Annual International Conference of the German Operations Research Society, Dresden, Germany, 3-4 September 2019.
-
Huber, Evelyn; Kleinknecht‐Dolf, Michael; Kugler, Christiane; Müller, Marianne; Spirig, Rebecca,
2019.
Validation of the instrument “Complexity of Nursing Care” : a mixed‐methods study.
Nursing Open.
7(1),
S.212-224.
Verfügbar unter: https://doi.org/10.1002/nop2.383
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Wüst, Raimond; Bütikofer, Stephan; Ess, Severin; Gomez, Claudio; Steiner, Albert; Laumanns, Marco; Szabo, Jacint,
2019.
In:
Operations Research Proceedings 2018.
OR2018, Operations Research Conference, Brussels, Belgium, 12-14 September 2018.
Cham:
Springer.
S.571-578.
Operations Research Proceedings.
Verfügbar unter: https://doi.org/10.1007/978-3-030-18500-8_71
-
Breymann, Wolfgang; Kucharczyk, Daniel Adam; Gross, Francis,
2019.
Modelling the economy as a network of contracts : an ACTUS-based demonstrator applied to liquidity.
In:
6th Annual Conference of the Society for Economic Measurement, Frankfurt, 16-18 August 2019.
-
Breymann, Wolfgang; Bundi, Nils; Heitz, Jonas; Micheler, Johannes; Stockinger, Kurt,
2019.
Large-scale data-driven financial risk assessment
.
In:
Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, Hrsg.,
Applied data science : lessons learned for the data-driven business.
Cham:
Springer.
S.387-408.
Verfügbar unter: https://doi.org/10.1007/978-3-030-11821-1_21
-
Larsson, Anders; Steiner, Albert,
2019.
In:
AESOP 2019 Conference : Book of Abstracts.
AESOP Annual Congress, Venice, Italy, 9-13 July 2019.
-
2019.
Das digitale Produktions-Puzzle.
Technische Rundschau.
111(7),
S.54-55.
Verfügbar unter: https://www.technische-rundschau.ch/archiv/2019/07/das-digitale-produktions-puzzle/
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Heitz, Christoph; Heinatz Bürki, Gundula; Meierhofer, Jürg,
2019.
Zusammen in die Zukunft : fit für Data Science.
KMU Rundschau.
2019(2),
S.34-35.
Verfügbar unter: https://issuu.com/prestigemedia/docs/kmurundschau_2019_02
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Frey, Martin; Murina, Elvis; Rohrbach, Janick; Walser, Manuel; Haas, Patrick; Dettling, Marcel,
2019.
Machine learning for position detection in football [Paper].
In:
2019 6th Swiss Conference on Data Science (SDS).
6th Swiss Conference on Data Science (SDS), Bern, 14. Juni 2019.
IEEE.
S.111-112.
Verfügbar unter: https://doi.org/10.1109/SDS.2019.00009
-
2019.
In:
15th biennal NECTAR Conference, Helsinki, Finland, 5-7 June 2019.
-
West, Shaun; Barbieri, Cosimo; Rapaccini, Mario; Meierhofer, Jürg,
2019.
Are practitioners and literature aligned about digital twin? [Paper].
In:
Kovács, Gyöngyi; Kuula, Markku, Hrsg.,
Operations adding value to society.
26th EurOMA Conference, Helsinki, Finland, 17-19 June 2019.
Helsinki:
Aalto University Business School.
S.2781-2790.
-
Wüst, Raimond Matthias; Bütikofer, Stephan; Ess, Severin; Gomez, Claudio; Steiner, Albert; Laumanns, Marco; Szabo, Jacint,
2019.
In:
8th International Conference on Railway Operations Modelling and Analysis (ICROMA), Norrköping, Sweden, 17-20 June 2019.
-
2019.
Applied compositional data analysis.
In:
4th International Conference on Computing, Mathematics and Statistics 2019 (iCMS2019), Langkawi, Malaysia, 23-24 April 2019.
-
Bütikofer, Stephan; Köchli, Joël; Frick, Kevin; Weber, Christoph,
2019.
Automatisierte Linienplanung im öffentlichen Verkehr.
Eisenbahntechnische Rundschau.
19(4),
S.68-72.
Verfügbar unter: https://doi.org/10.21256/zhaw-17897
-
2019.
Workforce planning in airport logistics : a real-world business application.
In:
CMS-MMEI-2019 : collection of abstracts.
16th Conference on Computational Management Science (CMS 2019), Chemnitz, Germany, 27-29 March 2019.
European Working Group on Stochastic Programming and Applications.
-
Monstein, Raphael; Capone, Pierluigi; Dettling, Marcel,
2019.
Determination of model structure from flight test with generalized additive models.
Journal of Aircraft.
Verfügbar unter: https://doi.org/10.2514/1.C035171
-
Fusek, Peter; Klinkert, Andreas,
2019.
Airport ground staff scheduling : a real-world business application.
In:
30th European Conference on Operational Research, Dublin, Ireland, 23-26 June 2019.
-
2019.
Anonymisierung aus wissenschaftlicher Sicht.
In:
Fachtagung Anonymisierung des Vereins für Datenschutz, Bern, 28. August 2019.
-
Meierhofer, Jürg; Kugler, Petra; Etschmann, Roman,
2019.
Challenges and approaches with data-driven services for SMEs : insights from a field study [Paper].
In:
Proceedings of the Spring Servitization Conference : Delivering Services Growth in the Digital Era.
Spring Servitization Conference «Delivering Services Growth in the Digital Era», Linköping, Sweden, 13-15 May 2019.
Birmingham:
Aston University.
S.39-49.
-
Meierhofer, Jürg; Stadelmann, Thilo; Cieliebak, Mark,
2019.
.
In:
Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, Hrsg.,
Applied data science : lessons learned for the data-driven business.
Cham:
Springer.
S.47-61.
Verfügbar unter: https://doi.org/10.1007/978-3-030-11821-1_4
-
2019.
Daten als Treibstoff der Instandhaltung?.
Technische Rundschau.
2019(2),
S.14-15.
Verfügbar unter: https://www.technische-rundschau.ch/archiv/2019/02/daten-als-treibstoff-der-instandhaltung/
-
2019.
Daten in der Instandhaltung : Potenziale und Stolpersteine.
fmpro service.
2019(1),
S.44-47.
-
Meierhofer, Jürg; Lév, Jana,
2019.
Daten-basierter Service-Nutzen entlang der Customer Journey.
Service Today.
2019(2),
S.86-87.
Verfügbar unter: https://doi.org/10.21256/zhaw-3243
-
Inan, Berkay; Cernak, Milos; Grabner, Helmut; Tukuljac, Helena Peic; Pena, Rodrigo C. G.; Ricaud, Benjamin,
2019.
Evaluating audiovisual source separation in the context of video conferencing [Paper].
In:
Proceedings Interspeech 2019.
Interspeech 2019, Graz, Austria, 15-19 September 2019.
International Speech Communication Association (ISCA).
S.4579-4583.
Verfügbar unter: https://doi.org/10.21437/Interspeech.2019-2671
-
Templ, Matthias; Gussenbauer, J.; Filzmoser, P.,
2019.
Evaluation of robust outlier detection methods for zero-inflated complex data.
Journal of Applied Statistics.
Verfügbar unter: https://doi.org/10.1080/02664763.2019.1671961
-
Meindl, Bernhard; Templ, Matthias,
2019.
Feedback-based integration of the whole process of data anonymization in a graphical interface.
Algorithms.
12(9),
S.191.
Verfügbar unter: https://doi.org/10.3390/a12090191
-
Templ, Barbara; Mozes, Edina; Templ, Matthias; Földesi, Rita; Szirák, Ádám; Báldi, András; Kovács-Hostyánszki, Anikó,
2019.
Habitat-dependency of transect walk and pan trap methods for bee sampling in farmlands.
Journal of Apicultural Science.
63(1),
S.93-115.
Verfügbar unter: https://doi.org/10.2478/JAS-2019-0014
-
Giudici, Paolo; Hadji Misheva, Branka; Spelta, Alessandro,
2019.
Network based scoring models to improve credit risk management in peer to peer lending platforms.
Frontiers in Artificial Intelligence.
2(3).
Verfügbar unter: https://doi.org/10.3389/frai.2019.00003
-
2019.
Planung und Steuerung in der digitalen Welt.
Aktuelle Technik.
2019(6).
Verfügbar unter: https://aktuelletechnik.blverlag.ch/planung-und-steuerung-in-der-digitalen-welt/
-
Schtalheim, Uri; Ott, Stefan; Heitz, Christoph; Goren Huber, Lilach,
2019.
Forschungsbericht
; 1648.
Bern:
Bundesamt für Strassen.
Verfügbar unter: https://doi.org/10.21256/zhaw-3341
-
2019.
Scheduling with asymmetric piecewise-linear time-dependent processing times [Paper].
In:
Proceedings of the 14th Workshop on Models and Algorithms for Planning and Scheduling Problems, MAPSP 2019.
MAPSP 2019, Renesse, The Netherlands, 2-7 June 2019.
Maastricht University.
S.43-45.
-
2019.
Service Transformation und Service Engineering (AP3)
.
In:
Thiel, Christian, Hrsg.,
Nutzenbasierter Digitalisierungsnavigator : wie KMU ihre Digitalisierungsstrategie selbst entwickeln können.
Konstanz:
IBH-Lab KMUdigital.
S.47-61.
-
Meierhofer, Jürg; West, Shaun,
2019.
Service value creation using a digital twin [Paper].
In:
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