Victor Vican

Victor Vican (M.Sc. Analytics)victor

Research Associate and Ph.D. Student

Production & Logistics Networks Workgroup

School of Engineering and Science
Jacobs University Bremen gGmbH

Street Address: Campus Ring 1 | 28759 Bremen | Germany
Mailing Address: P.O. Box 750 561 | 28725 Bremen | Germany
Phone: +49 421 200-3075
Fax: +49 421 200-3078
E-mail:v.vican@jacobs-university.de
Office: South Hall, Room 210

Curriculum Vitae

Professional experience
Sep 2013 – present Research Associate and Ph.D. student in the Production & Logistics Networks Workgroup of Prof. Dr. oec. J. Bendul at Jacobs University.
Nov 2012 – Jun 2013 Student Mentor, University of Manchester
Mar 2012 – Apr 2013 Associate (Strategic Design), Powergroup GmbH, DE.
Oct 2009 – Jun 2010 Student Representative, University of Manchester
Educational background
Sep 2010 – Dez 2011 MSc Analytics: Operational Research and Risk Analysis, University of Manchester, UK.
Sep 2007 – Jul 2010 BSc Information Technology Management for Business, University of Manchester, UK.

Publications

2016

  • V. Vican and J. C. Bendul, Application Potential for of Multidimensional Scaling for designing DSS in Transport Insurance , Poster presented at the First UNISDR Scientific Science and Technology Conference on the Implementation of the Sendai Framework for Disaster Risk Reduction 2015-2030, January 27th-29th, United Nations Office Geneva, Geneva, Switzerland, January, 2016.
    [Bibtex]
    @MISC{Vican:2016Geneva,
    author = {Vican, Victor and Bendul, Julia C.},
    title = {Application Potential for of Multidimensional Scaling for designing DSS in Transport Insurance},
    year = {2016},
    month={January},
    note = {Poster presented at the First UNISDR Scientific Science and Technology Conference on the Implementation of the Sendai Framework for Disaster Risk Reduction 2015-2030, January 27th-29th, United Nations Office Geneva, Geneva, Switzerland}
    }
  • View document on publisher site V. Vican, C. Blindu, A. Fofonov, M. Ucinska, J. Bendul, and L. Linsen, “Application Potential of Multidimensional Scaling for the Design of DSS in Transport Insurance,” in Dynamics in Logistics: Proceedings of the 5th International Conference LDIC, 2016 Bremen, Germany, M. Freitag, H. Kotzab, and J. Pannek, Eds., Cham: Springer International Publishing, 2016, pp. 109-118.
    [Bibtex]
    @inbook{Vican:2016LDIC,
    author="Vican, Victor and Blindu, Ciprian and Fofonov, Alexey and Ucinska, Marta and Bendul, Julia and Linsen, Lars",
    editor="Freitag, Michael and Kotzab, Herbert and Pannek, J{\"u}rgen",
    title="Application Potential of Multidimensional Scaling for the Design of DSS in Transport Insurance",
    bookTitle="Dynamics in Logistics: Proceedings of the 5th International Conference LDIC, 2016 Bremen, Germany",
    year="2016",
    publisher="Springer International Publishing",
    address="Cham",
    pages="109--118",
    isbn="978-3-319-45117-6",
    doi="10.1007/978-3-319-45117-6_10",
    url="http://dx.doi.org/10.1007/978-3-319-45117-6_10",
    abstract="Transport risks in supply chains have increasingly lead to significant capital losses. Insurance claims against such losses have grown accordingly, while simultaneous advances in technology lead to continuously larger volumes of data recorded. Traditional risk evaluation methods in insurance struggle to account for rising supply chain complexity which is reflected by growing amount and dimensionality of supply chain data. Therefore decision-makers in the transport insurance industry need new ways of appropriate knowledge representation to support transport insurance providers with daily tasks such as premium tariffing. This paper presents a method based on multidimensional scaling (MDS) for the identification of groups of similar claims as a first step towards the improvement of supply chain risk evaluation and forecasting. We show the application potential of transforming and visualising transport damage claims data as the basis for developing decision support systems (DSS) to support transport insurance providers in tasks such as premium tariffing as well as transport and supply chain managers in risk mitigation and prevention activities."
    }
  • View document on publisher site V. Vican and J. Bendul, “Towards the Investigation of Production Order Interdependency Effects on Logistics Performance.” 2016, pp. 146-151, Factories of the Future in the digital environment – Proceedings of the 49th CIRP Conference on Manufacturing Systems.
    [Bibtex]
    @inproceedings{Vican:2016CMS,
    title = "Towards the Investigation of Production Order Interdependency Effects on Logistics Performance",
    journal = "Procedia CIRP",
    volume = "57",
    number = "",
    pages = "146 -- 151",
    year = "2016",
    note = "Factories of the Future in the digital environment - Proceedings of the 49th CIRP Conference on Manufacturing Systems",
    issn = "2212-8271",
    doi = "10.1016/j.procir.2016.11.026",
    url = "http://www.sciencedirect.com/science/article/pii/S2212827116311799",
    author = "Victor Vican and Julia Bendul",
    keywords = "Production",
    keywords = "Order",
    keywords = "Interdependency",
    keywords = "Granular",
    keywords = "Matter ",
    abstract = "Manufacturers continuously face the challenge of driving down costs while being subjected to increasingly globalized market pressures to shorten production lead times and increase delivery reliability. The early prediction of the expected logistics performance of single production orders as well as for the entire manufacturing system is a pivotal strategic corporate activity. However, companies frequently find themselves struggling to foresee and integrate operational dynamic effects related to production orders into production planning decisions. Such dynamic interdependency effects between orders in close temporal and spatial neighbourhoods can have an impact on logistics performance. In this research, we introduce an index measure that quantifies the spatial and temporal relation of production orders and investigate dynamic effects of production order interdependencies using real production feedback data and derive first results for the improvement of the prediction of logistics performance in an early production planning stage as well as for the configuration of production planning and control."
    }

2014

  • View document on publisher site H. Blunck, V. Vican, T. Becker, and K. Windt, “Improvement Heuristics for Manufacturing System Design Using Complex Network Figures,” Procedia CIRP, vol. 17, pp. 50-55, 2014, Variety Management in Manufacturing – Proceedings of the 47th CIRP Conference on Manufacturing Systems.
    [Bibtex]
    @article{Blunck1450,
    title = "Improvement Heuristics for Manufacturing System Design Using Complex Network Figures",
    journal = "Procedia CIRP",
    volume = "17",
    pages = "50-55",
    year = "2014",
    note = "Variety Management in Manufacturing - Proceedings of the 47th CIRP Conference on Manufacturing Systems",
    issn = "2212-8271",
    doi = "10.1016/j.procir.2014.01.063",
    url = "http://www.sciencedirect.com/science/article/pii/S2212827114003023",
    author = "Henning Blunck and Victor Vican and Till Becker and Katja Windt",
    }
  • V. Vican, H. Blunck, and K. Windt, “Die neuen Zielgrößen moderner Produktionsplanungs und -steuerungssysteme – ein Beitrag zu aktuellen Forschungsfragen,” in Produzieren in Deutschland — Wettbewerbsfähigkeit im 21. Jahrhundert, 1st ed., H. Lödding and A. Friedewald, Eds., GITO Verlag, 2014, pp. 167-184.
    [Bibtex]
    @inbook{Vican14,
    author = {Victor Vican and Henning Blunck and Katja Windt},
    title = {Die neuen Zielgr{\"o}{\ss}en moderner Produktionsplanungs und -steuerungssysteme - ein Beitrag zu aktuellen Forschungsfragen},
    publisher = {GITO Verlag},
    year = {2014},
    booktitle = {Produzieren in Deutschland --- Wettbewerbsf{\"a}higkeit im 21. Jahrhundert},
    pages = {167-184},
    isbn={978-3-95545-046-5},
    editor={L{\"o}dding, Hermann and Friedewald, Axel},
    edition={1st},
    url={https://portal.dnb.de/opac.htm?method=simpleSearch&cqlMode=true&query=idn%3D1046908111}
    }

All publications of the Production & Logistics Networks Workgroup