Stanislav Chankov

Dr. Stanislav Chankovstanislav

University Lecturer in Supply Chain Management

Department of Mathematics and Logistics
Jacobs University Bremen gGmbH

Street Address: Campus Ring 1 | 28759 Bremen | Germany
Mailing Address: P.O. Box 750 561 | 28725 Bremen | Germany
Phone: +49 421 200-3437
Fax: +49 421 200-3078
E-mail: s.chankov@jacobs-university.de
Office: South Hall, Room 212

Curriculum Vitae

Professional experience
Jan 2017 – present University Lecturer in Supply Chain Management
Sep 2011 – Dec 2016 Research Associate in the Production & Logistics Networks Workgroup of Prof. Dr. oec. J. Bendul at Jacobs University.
Jun 2010- Aug 2010 B.Sc. thesis at Daimler AG in Sindelfingen.
Mar 2010- May 2010 B.A. thesis at Airbus Operations GmbH in Bremen.
Mar 2008- May 2010 Student and Teaching Assistant in the Global Production Logistics Workgroup of Prof. Dr.-Ing. K. Windt at Jacobs University.
Jul 2009 – Dec 2009 Internship at Airbus Operations GmbH in Bremen.
Jun 2008 – Aug 2008 Internship at Dr. Ing. h.c. F. Porsche AG in Stuttgart.
Educational background
Sep 2011 – Dec 2016 Ph.D. student in International Logistics in the Production & Logistics Networks Workgroup of Prof. Dr. oec. J. Bendul at Jacobs University.
Oct 2010 – Jun 2011 M.Phil. in Management Science and Operations at University of Cambridge Judge Business School, Cambridge, UK.
Sep 2007 – Aug 2010 B.Sc. in International Logistics Engineering at Jacobs University.
Sep 2007 – Jun 2010 B.A. in International Logistics Management at Jacobs University.

Publications

2017

  • [DOI] S. Chankov, M. Hütt, and J. Bendul, “Influencing factors of synchronization in manufacturing systems,” International journal of production research, pp. 1-21, 2017.
    [Bibtex] 
    @article{doi:10.1080/00207543.2017.1400707,
author = {Stanislav Chankov and Marc-Thorsten Hütt and Julia Bendul},
title = {Influencing factors of synchronization in manufacturing systems},
journal = {International Journal of Production Research},
volume = {0},
number = {0},
pages = {1-21},
year = {2017},
publisher = {Taylor & Francis},
doi = {10.1080/00207543.2017.1400707},
URL = {
https://doi.org/10.1080/00207543.2017.1400707
},
eprint = {
https://doi.org/10.1080/00207543.2017.1400707
}
}

2016

  • [DOI] S. M. Chankov, M. Hütt, and J. Bendul, “Synchronization in manufacturing systems: quantification and relation to logistics performance,” International journal of production research, 2016.
    [Bibtex] 
    @article{Chankov2016a,
author = {Chankov, Stanislav M. and H{\"u}tt, Marc-Thorsten and Bendul, Julia},
title = {Synchronization in manufacturing systems: quantification and relation to logistics performance},
journal = {International Journal of Production Research},
doi = {10.1080/00207543.2016.1165876},
URL = {http://dx.doi.org/10.1080/00207543.2016.1165876},
eprint = {http://dx.doi.org/10.1080/00207543.2016.1165876},
year={2016},
abstract = {The term 'synchronization' in manufacturing refers to the provision of the right components to the subsequent production steps at the right moment in time. It is widely assumed that synchronization is beneficial to the logistics performance of manufacturing systems. However, it has been shown that synchronization phenomena can be detrimental to systems in which they emerge. To study if synchronization phenomena also occur in and affect manufacturing systems' performance, a formal quantification and holistic understanding of the types of synchronization phenomena emerging in manufacturing are needed. This article aims to fill this research gap by developing synchronization measures for manufacturing systems, applying these measures to real-world production feedback data and utilising them to test the assumption about synchronization's beneficial effect on logistics performance. We identify two distinct synchronization types occurring in manufacturing systems, logistics and physics synchronization, and show that they are negatively correlated. Further, we show that logistics synchronization and due date performance exhibit anti-correlation and thus question the assumption that synchronization leads to higher efficiency in manufacturing systems. This article aids production managers in designing and optimising production systems, and supports further empirical research in production planning and control and production system design.},
}
  • [DOI] S. M. Chankov, G. Malloy, and J. Bendul, “The influence of manufacturing system characteristics on the emergence of logistics synchronization: a simulation study,” 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. 29-40.
    [Bibtex] 
    @inbook{Chankov2016b,
author="Chankov, Stanislav M. and Malloy, Giovanni and Bendul, Julia",
editor="Freitag, Michael and Kotzab, Herbert and Pannek, J{\"u}rgen",
title="The Influence of Manufacturing System Characteristics on the Emergence of Logistics Synchronization: A Simulation Study",
bookTitle="Dynamics in Logistics: Proceedings of the 5th International Conference LDIC, 2016 Bremen, Germany",
year="2016",
publisher="Springer International Publishing",
address="Cham",
pages="29--40",
isbn="978-3-319-45117-6",
doi="10.1007/978-3-319-45117-6_3",
url="http://dx.doi.org/10.1007/978-3-319-45117-6_3"
abstract="The term 'synchronization' in manufacturing refers to the provision of the right components to the subsequent production steps at the right moment in time. It is still unclear how manufacturing system characteristics impact synchronization. Thus, the purpose of this paper is to investigate the effect of manufacturing systems' characteristics on the emergence of logistics synchronization in them. We conduct a discrete-event simulation study to examine the effect of three system characteristics: (1) material flow network architecture, (2) work content variation, and (3) order arrival pattern. Our findings suggest that the material flow network architecture and the work content variation are related to logistics synchronization. Linear manufacturing systems with stable processing times such as flow shops operate at high logistics synchronization levels, while highly connected systems with high variability of processing times such as job shops exhibit lower synchronization levels."
}
  • [DOI] M. A. Schipper, S. M. Chankov, and J. Bendul, “Synchronization emergence and its effect on performance in queueing systems,” Procedia cirp, vol. 52, pp. 90-95, 2016.
    [Bibtex] 
    @article{Schipper:2016,
title = "Synchronization Emergence and its Effect on Performance in Queueing Systems ",
journal = "Procedia CIRP",
volume = "52",
number = "",
pages = "90 -- 95",
year = "2016",
note = "The Sixth International Conference on Changeable, Agile, Reconfigurable and Virtual Production (CARV2016) ",
issn = "2212-8271",
doi = "10.1016/j.procir.2016.07.016",
url = "http://www.sciencedirect.com/science/article/pii/S2212827116307582",
author = "Schipper, Manuel A. and Chankov, Stanislav M. and Bendul, Julia",
keywords = "synchronization",
keywords = "queueing theory",
keywords = "production system",
keywords = "manufacturing system design ",
abstract = "Abstract Synchronization as a dynamic process has found applications in many fields. However, it remains unclear how this phenomenon relates to manufacturing systems. The aim of this study is to investigate the conditions for emergence of synchronization and its effects on the wide spectrum of production logistics performance objectives. Using queueing theory as the underlying methodology for deductive modeling of manufacturing systems, we run computer simulations on networks of queueing systems and investigate synchronization measurements in relation to system parameters and performance indicators. Our initial findings suggest that different types of manufacturing systems display different synchronization behaviors and that periodically driven systems with deterministic arrival and service rates display higher synchronization in comparison to stochastic ones. Further, we show that intrinsic physics synchronization is correlated to capacity utilization, throughput times and WIP levels, suggesting the co-activity of operations is related to highly utilized systems, while external physics synchronization is anticorrelated to throughput times and WIP levels, suggesting that higher efficiencies emerge with workstation repetitive behavior."
}
  • [DOI] R. Schäfer, S. Chankov, and J. Bendul, “What is really “on-time”? a comparison of due date performance indicators in production,” Procedia cirp, vol. 52, pp. 124-129, 2016.
    [Bibtex] 
    @article{Schaefer:2016,
title = "What is Really ``On-Time''? A Comparison of Due Date Performance Indicators in Production ",
journal = "Procedia CIRP",
volume = "52",
number = "",
pages = "124 -- 129",
year = "2016",
note = "The Sixth International Conference on Changeable, Agile, Reconfigurable and Virtual Production (CARV2016) ",
issn = "2212-8271",
doi = "10.1016/j.procir.2016.07.017",
url = "http://www.sciencedirect.com/science/article/pii/S2212827116307594",
author = "Ricarda Sch{\"a}fer and Stanislav Chankov and Julia Bendul",
keywords = "due date performance",
keywords = "lateness",
keywords = "production planning and control ",
abstract = "Abstract On-time delivery is essential in today's dynamic conditions: if a company cannot produce and deliver on time, it has to make up for it by using high cost express delivery or faces customer dissatisfaction. One factor influencing the delivery reliability is the due date performance (DDP) within production. Although the significance of DDP has been established, the question of how to measure it remains. A review of existing literature shows the vast amount of different DDP measures (lateness, relative lateness, tardiness, schedule reliability, etc.). The purpose of this paper is to compare different DDP measures used in manufacturing in order to assess their interrelationship, so that companies are better able to understand the impact of their choice of measure. A review of DDP measures described in literature is performed, followed by statistical analysis of the relations between those measures computed on production feedback data from four real-world manufacturers. The results indicate that there exist differences across DDP measure groups. Further research is needed to assess the benefits of each measure in a given situation."
}

2015

  • G. Ciobotaru, S. Chankov, and J. C. Bendul, “Restructuring distribution networks in humanitarian logistics: the concept of “freight villages”,” in The proceedings of the 20th international symposium for logistics (isl 2015) – reflections on supply chain research and practice, 2015, pp. 379-389.
    [Bibtex] 
    @inproceedings{Ciobutaru2015111,
author={Ciobotaru, G. and Chankov, S. and Bendul, Julia C.},
title={Restructuring distribution networks in humanitarian logistics: the concept of ``freight villages''},
year={2015},
booktitle={The Proceedings of the 20th International Symposium for Logistics (ISL 2015) - Reflections on Supply Chain Research and Practice},
pages={379-389},
url={http://www.isl21.org/wp-content/uploads/pdf/ISL_2015_Proceedings.pdf},
editors={Pawar, Kulwant S. and Rogers, Helen and Ferrari, Emilio},
isbn={13978085358308},
publisher={Nottingham University Business School}
}
  • S. Chankov, M. Hütt, and J. C. Bendul, The relation between synchronization and performance in job shop manufacturing systems, 2015.
    [Bibtex] 
    @misc{Chankov982,
author={Chankov, Stanislav and H{\"u}tt, Marc-Thorsten and Bendul, Julia C.},
title={The Relation between Synchronization and Performance in Job Shop Manufacturing Systems},
year={2015},
note={Whitepaper}
}

2014

  • [DOI] S. M. Chankov, T. Becker, and K. Windt, “Towards definition of synchronization in logistics systems,” Procedia cirp, vol. 17, pp. 594-599, 2014.
    [Bibtex] 
    @article{Chankov2014594,
title = "Towards Definition of Synchronization in Logistics Systems ",
journal = "Procedia CIRP",
volume = "17",
number = "",
pages = "594 - 599",
year = "2014",
note = "Variety Management in ManufacturingProceedings of the 47th CIRP Conference on Manufacturing Systems ",
issn = "2212-8271",
doi = "10.1016/j.procir.2014.02.034",
url = "http://www.sciencedirect.com/science/article/pii/S2212827114003436",
author = "Stanislav M. Chankov and Till Becker and Katja Windt",
keywords = "synchronization",
keywords = "manufacturing system",
keywords = "supply chain",
abstract = "Abstract Manufacturing systems, transportation networks, and supply chains are all logistics systems, which are required to operate efficiently without waste of resources or time. Synchronization is a widely used term in connection with logistics systems, and it promises to increase efficiency by coordinating supply and demand over time and space. However, there is neither a common understanding of synchronization in logistics, nor an accepted way of measuring and quantifying it. This article investigates definitions of synchronization from various disciplines with the aim to come up with a commonly applicable interpretation of synchronization in logistics systems. This new comprehensive definition of synchronization in logistics systems is intended to avoid a misleading application of the term :synchronization: and to foster future developments of a concrete quantification and operationalization of synchronization in logistics systems. Our investigations show that the measurable and quantifiable phenomenon of synchronization in logistics is mainly composed of a temporal and performance-related coupling of the state of individual logistics elements or complete systems. "
}

2013

  • [DOI] T. Becker, S. M. Chankov, and K. Windt, “Synchronization measures in job shop manufacturing environments,” Procedia cirp, vol. 7, pp. 157-162, 2013.
    [Bibtex] 
    @article{Becker2013157,
title = "Synchronization Measures in Job Shop Manufacturing Environments",
journal = "Procedia CIRP",
volume = "7",
number = "0",
pages = "157-162",
year = "2013",
note = "Forty Sixth CIRP Conference on Manufacturing Systems 2013",
issn = "2212-8271",
doi = "10.1016/j.procir.2013.05.027",
url = "http://www.sciencedirect.com/science/article/pii/S2212827113002345",
author = "Till Becker and M. Stanislav Chankov and Katja Windt",
keywords = "synchronization",
keywords = "manufacturing system",
keywords = "job shop manufacturing"
}