Mathias Knollmann

Mathias Knollmann (Dr., Dipl.-Wirtsch.-Ing.)mathias

Former 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: +49 421 200-3475
Fax: +49 421 200-3078
E-mail: m.knollmann@jacobs-university.de
Office: South Hall, Room 122

Curriculum Vitae

Professional experience
Oct 2010 – May 2015
Research Associate in the Production & Logistics Networks Workgroup of Prof. Dr. oec. J. Bendul at Jacobs University.
Aug 2010 – Sep 2010 Graduate Assistant at the Institute for Factory Facilities and Logistics (IFA) in Hannover.
Feb 2010 – Mai 2010 Diploma Thesis at Volkswagen AG in Wolfsburg.
Aug 2009 – Feb 2010 Internship at Volkswagen AG in Wolfsburg.
Jan 2009 – Sep 2009 Student Assistant at the Institute for Factory Facilities and Logistics (IFA) in Hannover.
Nov 2008 Internship at MTU Maintenance in Hannover.
Apr 2008 – Sep 2008 Student Assistant at the Institute for Controlling in Hannover.
Educational background
Jun 2010 – July 2010 Language Study Travel in Antigua (Guatemala).
Oct 2005 – Mai 2010 Study of Mechanical Engineering and Management Science (Diplom- Wirtschaftsingenieur) at the Leibniz University Hannover.

Publications

2016

  • View document on publisher site J. Bendul and M. Knollmann, “The Lead Time Syndrome of Manufacturing Control: Comparison of Two Independent Research Approaches.” 2016, pp. 81-86, Research and Innovation in Manufacturing: Key Enabling Technologies for the Factories of the Future – Proceedings of the 48th CIRP Conference on Manufacturing Systems.
    [Bibtex]
    @inproceedings{Bendul:2015CMS,
    title = "The Lead Time Syndrome of Manufacturing Control: Comparison of Two Independent Research Approaches",
    journal = "Procedia CIRP",
    volume = "41",
    number = "",
    pages = "81 - 86",
    year = "2016",
    note = "Research and Innovation in Manufacturing: Key Enabling Technologies for the Factories of the Future - Proceedings of the 48th CIRP Conference on Manufacturing Systems",
    issn = "2212-8271",
    doi = "10.1016/j.procir.2015.08.104",
    url = "http://www.sciencedirect.com/science/article/pii/S221282711501077X",
    author = "Julia Bendul and Mathias Knollmann",
    keywords = "Control-theoretic simulation",
    keywords = "production planning and control",
    keywords = "manufacturing control",
    keywords = "logistic target achievement",
    abstract = "The aim of production planning and control is to ensure the achievement of the logistic targets of high due date reliability, low lead times, high capacity utilization, and low WIP levels, while maintaining productivity and quality targets. If order due dates are missed, a common intuitive reaction of production planners is to adjust planned lead times. How often and to what extent updates are reasonable has previously been unclear because, while trying to improve the logistic target achievement, planned lead time adjustments may actually cause an opposite effect, which is known as the Lead Time Syndrome (LTS) of Manufacturing Control. Previous research on the LTS interactions has shown that the line of argumentation of the LTS is valid. Knollmann et al. showed by means of mathematical modeling, control-theoretic simulation and case study research that planned lead time adjustments lead to a short-term increase in lead time variation, thus to an increase in lateness variation and to a decrease in due date reliability. The authors suggest to choose update frequency depending on the ratio of latency period and the update frequency (the period between two consecutive adjustments) as the misbalance of these two parameters turns out to be the main trigger of the LTS. Sel\c{c}uk investigated the LTS by means of queuing theory in an independent approach. The authors concluded that planned lead time adjustments lead to an increase in process variability, thus to high WIP levels and long lead times. However, they suggest to reduce update frequency, to decrease process variability and thus to avoid LTS. This conclusion is not in line with the conclusions drawn from the research presented by Knollmann et al.. Therefore, this paper compares the different research approaches methodologies and discusses how the different research methodologies impact the conclusions drawn for practice application. This comparison provides further insights into LTS research and indicates further research fields."
    }
  • View document on publisher site N. Duffie, J. Bendul, K. Windt, and M. Knollmann, “Lead time instability and its mitigation in production work systems,” CIRP Annals – Manufacturing Technology, vol. 65, iss. 1, pp. 437-440, 2016.
    [Bibtex]
    @article{Duffie:2016,
    title = "Lead time instability and its mitigation in production work systems",
    journal = "CIRP Annals - Manufacturing Technology",
    volume = "65",
    number = "1",
    pages = "437 -- 440",
    year = "2016",
    note = "",
    issn = "0007-8506",
    doi = "10.1016/j.cirp.2016.04.120",
    url = "http://www.sciencedirect.com/science/article/pii/S0007850616301202",
    author = "Neil Duffie and Julia Bendul and Katja Windt and Mathias Knollmann",
    keywords = "Production planning",
    keywords = "Stability",
    keywords = "Analysis",
    abstract = "Abstract Adjusting planned lead times when order due dates are missed is an intuitive reaction, but these adjustments can be counterproductive when inherent order lead time instability endangers achievement of logistic targets. In this paper, dynamic models are used to characterize lead time instability in two approaches to work system lead time adjustment. Minimum damping is calculated as a function of lead time adjustment parameters. Industrial data are used to illustrate how the approach provides guidance in selecting production planning and control parameters, with the goal of ensuring stability as a key dynamic foundation for satisfying work system logistic performance targets. "
    }

2015

  • View document on publisher site M. Knollmann and J. C. Bendul, “The human factor in production planning and control: Considering human needs in computer aided decision-support systems,” International Journal of Manufacturing Technology and Management, vol. 30, pp. 346-368, 2015.
    [Bibtex]
    @article{Knollmann2015111,
    author={Knollmann, Matthias and Bendul, Julia C.},
    title={The human factor in production planning and control: Considering human needs in computer aided decision-support systems},
    year={2015},
    journal={International Journal of Manufacturing Technology and Management},
    doi={10.1504/IJMTM.2016.078921},
    volume={30},
    issue={5},
    issn={1368-2148},
    pages={346--368},
    abstract={The unawareness of production planners about the interaction of key performance indicators (KPIs) in manufacturing systems and misinterpretations of system states often leads to problems when they try to improve them. Exemplary, the lead time syndrome (LTS) represents one of these counterproductive actions. While planners aim to improve due date reliability by planned lead time adjustments, the result is often an aggravation of due date reliability. This is due to human behaviour in the decision-making process, which can be biased. Despite its potential to improve the logistic performance, human needs were out of scope of recent investigations in the field of logistics. The aim of this paper is to close this research gap by means of a case study and research on human behaviour in the field of psychology. The result is the determination of guidelines to improve the logistic performance in future decision-support systems by considering human needs.}
    }
  • J. C. Bendul, M. Knollmann, and N. Duffie, The Lead Time Syndrome of manufacturing control: comparison of two independent research approaches , Under review, 2015.
    [Bibtex]
    @unpublished{Bendul2015114,
    author={Bendul, Julia C. and Knollmann, Mathias and Duffie, Neil},
    title={The Lead Time Syndrome of manufacturing control: comparison of two independent research approaches},
    year={2015},
    journal={International Journal of Manufacturing Systems},
    note={Under review}
    }

2014

  • View document on publisher site K. Windt and M. Knollmann, “Consequences of planned lead time adaptions in scope of the lead time syndrome of production control,” CIRP Annals – Manufacturing Technology, vol. 63, iss. 1, pp. 405-408, 2014.
    [Bibtex]
    @article{Windt14405,
    author={Katja Windt and Mathias Knollmann},
    title={Consequences of planned lead time adaptions in scope of the lead time syndrome of production control},
    journal={CIRP Annals - Manufacturing Technology},
    volume={63},
    number={1},
    pages={405-408},
    year={2014},
    doi={doi:10.1016/j.cirp.2014.03.112},
    keywords={Production; Control; Simulation}
    }
  • View document on publisher site M. Knollmann, K. Windt, and N. Duffie, “Evaluation of Capacity Control and Planned Lead Time Control in a Control-theoretic Model,” Procedia CIRP, vol. 17, pp. 392-397, 2014, Variety Management in Manufacturing Proceedings of the 47th CIRP Conference on Manufacturing Systems.
    [Bibtex]
    @article{Knollmann2014392,
    title = "Evaluation of Capacity Control and Planned Lead Time Control in a Control-theoretic Model ",
    journal = "Procedia CIRP ",
    volume = "17",
    number = "0",
    pages = "392 - 397",
    year = "2014",
    note = "Variety Management in Manufacturing Proceedings of the 47th CIRP Conference on Manufacturing Systems ",
    issn = "2212-8271",
    doi = "10.1016/j.procir.2014.01.061",
    url = "http://www.sciencedirect.com/science/article/pii/S221282711400300X",
    author = "Mathias Knollmann and Katja Windt and Neil Duffie",
    keywords = "Capacity Control",
    keywords = "Order Release Control",
    keywords = "Control Theory",
    keywords = "Lead Time Syndrome ",
    abstract = "Abstract Reducing lead time variability of production systems has been shown to be advantageous, enabling constant flows and improved on time production. Nevertheless, fluctuating order inflows, disturbances and other factors are known to induce varying workloads, and hence produce fluctuating actual lead times. Adjusting planned lead times as a countermeasure against low due date reliability could lead into the drawbacks of the Lead Time Syndrome. The update frequency of planned lead time adjustments as well as the delay until changes take effect in a production system can significantly influence the occurrence of the Lead Time Syndrome. Nevertheless, taking these effects into account, production control via planned lead time adjustments remains a suitable means for increasing due date reliability. Another production planning and control approach is to avoid fluctuating actual lead times using capacity adjustments, which can be implemented by either lead time regulation or work in process regulation. These strategies have been integrated into a control theoretic simulation model that enables comparisons to be made of resulting performance; thus, preferable strategies can be identified for different settings of inflow fluctuations, update frequencies and delay. "
    }
  • M. Knollmann, “Logistic Target Achievement In Scope Of The Lead Time Syndrome Of Manufacturing Control: Validation Of The Syndrome And Development Of A Methodology To Avoid It In Practice,” PhD Thesis, Jacobs University Bremen, Bremen, 2014.
    [Bibtex]
    @phdthesis{Knollmann:2014Diss,
    author = {Knollmann, Mathias},
    title = {Logistic Target Achievement In Scope Of The Lead Time Syndrome Of Manufacturing Control: Validation Of The Syndrome And Development Of A Methodology To Avoid It In Practice},
    school = {Jacobs University Bremen},
    year = 2014,
    address = {Bremen},
    url = {http://nbn-resolving.de/urn:nbn:de:gbv:579-opus-1005103}
    }

2013

  • View document on publisher site M. Knollmann and K. Windt, “Exploitation of Due Date Reliability Potentials: Mathematical Investigation of the Lead Time Syndrome,” in Dynamics in Logistics, 2013, pp. 313-325.
    [Bibtex]
    @inproceedings{Knollmann12,
    author = {Knollmann, M. and Windt, K.},
    title = {Exploitation of Due Date Reliability Potentials: Mathematical Investigation of the Lead Time Syndrome},
    booktitle = {Dynamics in Logistics},
    year = {2013},
    editor = {Kreowski, H.-J. and Scholz-Reiter, B. and Thoben, K.-D.},
    publisher = {Springer Berlin Heidelberg},
    doi = {10.1007/978-3-642-35966-8_26},
    pages = {313-325}
    }
  • View document on publisher site M. Knollmann and K. Windt, “Control-theoretic Analysis of the Lead Time Syndrome and its Impact on the Logistic Target Achievement,” Procedia CIRP, vol. 7, pp. 97-102, 2013, Forty Sixth CIRP Conference on Manufacturing Systems 2013.
    [Bibtex]
    @article{Knollmann201397,
    title = "Control-theoretic Analysis of the Lead Time Syndrome and its Impact on the Logistic Target Achievement",
    journal = "Procedia CIRP",
    volume = "7",
    number = "0",
    pages = "97-102",
    year = "2013",
    note = "Forty Sixth CIRP Conference on Manufacturing Systems 2013",
    issn = "2212-8271",
    doi = "10.1016/j.procir.2013.05.017",
    url = "http://www.sciencedirect.com/science/article/pii/S2212827113002242",
    author = "Mathias Knollmann and Katja Windt",
    keywords = "Lead Time Syndrome",
    keywords = "Control Theory",
    keywords = "Positive Feedback Loop",
    keywords = "Logistic Target Achievement "
    }
  • View document on publisher site M. Knollmann and K. Windt, “Evaluating Lead Time Standard Deviation with Regard to the Lead Time Syndrome,” in Robust Manufacturing Control – Proceedings of the CIRP Sponsored Conference RoMaC 2012, Bremen, Germany, 18th-20th June 2012, 2013, pp. 469-480.
    [Bibtex]
    @inproceedings{Knollmann13d,
    author = {Mathias Knollmann and Katja Windt},
    title = {Evaluating Lead Time Standard Deviation with Regard to the Lead Time Syndrome},
    booktitle = {Robust Manufacturing Control - Proceedings of the CIRP Sponsored Conference RoMaC 2012, Bremen, Germany, 18th-20th June 2012},
    year = {2013},
    editor = {Katja Windt},
    publisher = {Springer Berlin Heidelberg},
    doi = {10.1007/978-3-642-30749-2_34},
    pages = {469-480}
    }

2011

  • K. Windt, M. Knollmann, and M. Meyer, “Anwendung von Data Mining Methoden zur Wissensgenerierung in der Logistik-Kritische Reflexion der Analysefähigkeit zur Termintreueverbesserung.” 2011, pp. 223-249.
    [Bibtex]
    @conference{Windt10429417,
    title = {Anwendung von Data Mining Methoden zur Wissensgenerierung in der Logistik-Kritische Reflexion der Analysef{\"a}higkeit zur Termintreueverbesserung},
    journal = {Wissensarbeit - zwischen strengen Prozessen und kreativem Spielraum; [Tagungsband]},
    pages = {223-249},
    series= {Wissensarbeit- zwischen strengen Prozessen und kreativem Spielraum; [Tagungsband]. - GITO, ISBN 978-3-942183-51-2. - 2011, p. 223-249},
    author = {Katja Windt and Mathias Knollmann and Mirja Meyer},
    publisher = {GITO},
    year = {2011},
    type= {Aufsatz im Buch, Article in book},
    isbn = {978-3-942183-51-2},
    language= {deutsch},
    keywords = {Produktionswirtschaft; Production management; Logistik; Logistics; Data Mining; Data mining; Clusteranalyse; Cluster analysis; Stahlindustrie; Steel industry},
    crossref = {http://www.econbiz.de/Record/anwendung-data-mining-methoden-wissensgenerierung-logistik-kritische-reflexion-analysef%C3%A4higkeit-termintreueverbesserung-windt-katja/10010429417}
    }

All publications of the Production & Logistics Networks Workgroup