Projects

Performance analysis and capacity planning for stochastic systems with cut-off service levels
AISSI – Autonomous Integrated Scheduling for Semiconductor Industry

Background

since 2019	Institute for Material Handling and Logistics (IFL) Research Associate
2018	Institute for Material Handling and Logistics (IFL) Master Thesis: “Analysis and reduction of decomposition error in discrete-time queueing networks”
2015-2018	Institute for Material Handling and Logistics (IFL) Student Assistant
2015-2018	Karlsruhe Institute of Technology (KIT) Study of Industrial Engineering (M.Sc.)
2015	Institute for Material Handling and Logistics (IFL) Bachelor Thesis: “Conception and implementation of safety concepts for KARIS PRO”
2011-2015	Karlsruhe Institute of Technology (KIT) Study of Industrial Engineering (B.Sc.)

Thesis topics

Click here for a list of currently available topics.

Publications

2024

Mohring, U.; Jacobi, C.; Furmans, K.; Stolletz, R.
Managing cutoff-based shipment promises for order fulfilment processes in warehousing
2024. OR Spectrum, 46 (2), 513–543. doi:10.1007/s00291-023-00739-7

Mohring, U.; Jacobi, C.
Data sets for the numerical analysis in the publication Managing Cutoff‑Based Shipment Promises for Order Fulfilment Processes in Warehousing
2024, July 18. doi:10.35097/apnjfGVbcRjIUHSh

2023

Jacobi, C.
Decomposition of discrete-time open tandem queues with Poisson arrivals and general service times. PhD dissertation
2023, December 27. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000166025

Jacobi, C.
Discrete-time semi-Markov models for the analysis of dependent departure and arrival streams
2023, December 15. doi:10.35097/1849

2022

Jacobi, C.; Furmans, K.
Regression analyses of the data sets for the analysis of decomposition error in discrete-time open tandem queues
2022. Data in Brief, 45, Artkl.Nr.: 108640. doi:10.1016/j.dib.2022.108640

Jacobi, C.; Furmans, K.
Point and interval estimation of decomposition error in discrete-time open tandem queues
2022. Operations Research Letters, 50 (5), 529–535. doi:10.1016/j.orl.2022.07.009

Schelthoff, K.; Jacobi, C.; Schlosser, E.; Plohmann, D.; Janus, M.; Furmans, K.
Feature Selection for Waiting Time Predictions in Semiconductor Wafer Fabs
2022. IEEE Transactions on Semiconductor Manufacturing, 35 (3), 546 – 555. doi:10.1109/TSM.2022.3182855

Schulz, B.; Jacobi, C.; Gisbrecht, A.; Angelidis, E.; Chan, C. W.; Gan, B. P.
Graph Representation and Embedding for Semiconductor Manufacturing Fab States
2022. Proceedings of the 2022 Winter Simulation Conference. Ed.: B. Feng, 3382–3393, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/WSC57314.2022.10015297

Jacobi, C.; Furmans, K.
Data sets for the analysis of decomposition error in discrete-time open tandem queues
2022, July 18. doi:10.5445/IR/1000148460

Mohring, U.; Jacobi, C.; Furmans, K.
Kompetenzorientiertes Lehren und Prüfen in den Ingenieurwissenschaften : Lehrkonzept der Veranstaltung Materialfluss in Logistiksystemen = Competence-oriented teaching and examination in engineering : Teaching concept of the course Material Flow in Logistics Systems
2022. Zeitschrift für Hochschulentwicklung, 17 (1), 47–68. doi:10.3217/zfhe-17-01/04

2020

Jacobi, C.; Meier, M.; Herborn, L.; Furmans, K.
Maturity Model for Applying Process Mining in Supply Chains: Literature Overview and Practical Implications = Reifegradmodell zur Anwendung von Process Mining im Supply Chain Management: Literaturübersicht und Implikationen für die Praxis
2020. Logistics journal / Proceedings, 2020, 1–16. doi:10.2195/lj_Proc_jacobi_en_202012_01

2019

Fleischer-Dörr, K.; Jacobi, C.; Hermann, R.; Furmans, K.
Quantitatives Entscheidungsmodell zur Wahl zwischen AKL und Shuttle-Lager
2019. Logistics journal / Proceedings, 2019 (12), 1–10. doi:10.2195/lj_Proc_fleischerdoerr_de_201912_01

Fleischer-Dörr, K.; Jacobi, C.; Hermann, R.; Furmans, K.
AKL oder Shuttle-Lager
2019. Technische Logistik : Hebezeuge, Fördermittel, 2019 (11/12), 18–21