Sebastian Malicki, M.Sc.

Contact

Room: 1569
Tel:  +49 (0)89 289 28208
Fax: +49 (0)89 289 28210
sebastian.malicki@tum.de

 

Office Hours

by appointment

Research interests

  • Inventory Routing
  • Vehicle Routing
  • (Meta-) Heuristics in Transportation Logistics

Academic Career and Positions held to date

  • Since 2016: Research assistant at the Department of Logistics and Supply Chain Management (Prof. Dr. Minner); TU Munich

Academic Education

  • 2016: Graduation as Master of Science in Business Administration with Majors in Transportation Logistics and Business Informatics at the University of Vienna
  • 2014 - 2016 Graduate Studies in Business Administration with majors in Transportation Logistics and Business Informatics at the University of Vienna
  • 2014: Graduation as Bachelor of Science in Business Administration (B.Sc.) at the University Vienna
  • 2010 - 2014: Undergraduate studies in Business Administration at the University of Vienna

Awards

  • 2016: Performance-based Scholarship - University of Vienna
  • 2015: Performance-based Scholarship - University of Vienna

Ongoing supervision

  • Master's theses:
    • Benefit or Burden? - The Impact of Consistency in Inventory Routing
  • Bachelor's theses:
    •  
  • Interdisciplinary Projects:
  • Project Studies:

Supervised theses

  • Master's theses:
    • Cyclic Schedules for Recurrent Demand Patterns in Lot Sizing
    • Applications of Machine Learning in Inventory Management
    • Metaheuristics for an Extension of the Vehicle Routing Problem
    • The effective organization of a storage system, using the example of Altmann GmbH & Co. KG, wholesaler of technical products
    • Supply Chain Strategy for an efficient Inventory Management of Accesories at a Home Appliance Manufacturer
    • A Heuristic for the Inventory Routing Problem
  • Bachelor's theses:
    • Crowd-Logistics: Crowdsourcing in urban Logistics Services
      • Entwicklung eines Analysetools zur Ermittlung der Fertigungskosten bei der Planung neuer Strukturen in der Technologie Oberfläche der BMW AG
    • Interdisciplinary projects:
      • Extension of an Android App for Crowd-Sourced Deliveries
      • An Application for Crowd Logistics
      • Visualization for Transportation Problems
    • Project Studies:
      • Last-Mile Logistics Concepts in the Area of Commercial Business Development (in cooperation with Lufthansa CityLine GmbH)
      • Developing the adjacent zone algorithm for the supermarket layout planning at Porsche (in cooperation with Porsche Consulting GmbH)

    Previous teaching

    • Winter 2019/2020:
      • Transportation Logistics
      • Advanced Seminar Logistics & Supply Chain Management (Master) 
    • Summer 2019:
      • Advanced Seminar Logistics & Supply Chain Management (Master)
    • Winter 2018/2019:
      • Transportation Logistics
      • Advanced Seminar Logistics & Supply Chain Management (Master)
    • Summer 2018:
      • Inventory Management (Master)
      • Advanced Seminar Logistics & Supply Chain Management (Master)
    • Winter 2017/2018:
      • Advanced Seminar Logistics & Supply Chain Management (Master)
    • Summer 2017:
      • Inventory Management (Master)
      • Advanced Seminar Logistics & Supply Chain Management (Master)
    • Winter 2016/2017:
      • Advanced Seminar Logistics & Supply Chain Management (Master)

    Presentations

    • 2019 GOR Operations Research, Dresden, Germany: "Consistent Delivery Schedules in Stochastic Inventory Routing"
    • 2018 EURO 29th European Conference on Operational Research, Valencia, Spain: "Safety Stock Allocation in Two-Stage Inventory Routing under Guaranteed Service"
    • 2018 EURO Winter Institute on Lot-Sizing, Frankfurt (Oder), Germany: "Inventory Routing with Time Windows and Cyclic Inventories under Stochastic, Serially Correlated Demands"
    • 2017 GOR International Conference on Operations Research, Berlin, Germany: "Inventory Routing: Setting Safety Stocks under Stochastic Demands" (updated)
    • 2017 ISIR Summer School, Vienna, Austria: "Inventory Routing: Setting Safety Stocks under Stochastic Demands"