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162 results on '"Rieck, Julia"'

4. A Genetic Algorithm for the Multi-compartment Vehicle Routing Problem with Stochastic Demands and Flexible Compartment Sizes

Author

Chamurally, Shabanaz, Rieck, Julia, Barbosa-Povoa, Ana Paula, Editorial Board Member, de Almeida, Adiel Teixeira, Editorial Board Member, Gans, Noah, Editorial Board Member, Gupta, Jatinder N. D., Editorial Board Member, Heim, Gregory R., Editorial Board Member, Hua, Guowei, Editorial Board Member, Kimms, Alf, Editorial Board Member, Li, Xiang, Editorial Board Member, Masri, Hatem, Editorial Board Member, Nickel, Stefan, Editorial Board Member, Qiu, Robin, Editorial Board Member, Shankar, Ravi, Editorial Board Member, Slowiński, Roman, Editorial Board Member, Tang, Christopher S., Editorial Board Member, Wu, Yuzhe, Editorial Board Member, Zhu, Joe, Editorial Board Member, Zopounidis, Constantin, Editorial Board Member, Grothe, Oliver, editor, Rebennack, Steffen, editor, and Stein, Oliver, editor

Published
2023
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6. Identifying Non-intuitive Relationships Within Returns Data of a Furniture Online-Shop Using Temporal Data Mining

Author

Meißner, Katherina, Stevenson, Anthony Boyd, Rieck, Julia, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Szczerbicki, Edward, editor, Wojtkiewicz, Krystian, editor, Nguyen, Sinh Van, editor, Pietranik, Marcin, editor, and Krótkiewicz, Marek, editor

Published
2022
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7. Strategic Road Safety Dashboard: Visualizing Results of Accident Data Mining

Author

Meißner, Katherina, Rieck, Julia, Barbosa-Povoa, Ana Paula, Editorial Board Member, de Almeida, Adiel Teixeira, Editorial Board Member, Gans, Noah, Editorial Board Member, Gupta, Jatinder N. D., Editorial Board Member, Heim, Gregory R., Editorial Board Member, Hua, Guowei, Editorial Board Member, Kimms, Alf, Editorial Board Member, Li, Xiang, Editorial Board Member, Masri, Hatem, Editorial Board Member, Nickel, Stefan, Editorial Board Member, Qiu, Robin, Editorial Board Member, Shankar, Ravi, Editorial Board Member, Slowiński, Roman, Editorial Board Member, Tang, Christopher S., Editorial Board Member, Wu, Yuzhe, Editorial Board Member, Zhu, Joe, Editorial Board Member, Zopounidis, Constantin, Editorial Board Member, Trautmann, Norbert, editor, and Gnägi, Mario, editor

Published
2022
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8. New Optimization Guidance for Dynamic Dial-a-Ride Problems

Author

Ackermann, Christian, Rieck, Julia, Barbosa-Povoa, Ana Paula, Editorial Board Member, de Almeida, Adiel Teixeira, Editorial Board Member, Gans, Noah, Editorial Board Member, Gupta, Jatinder N. D., Editorial Board Member, Heim, Gregory R., Editorial Board Member, Hua, Guowei, Editorial Board Member, Kimms, Alf, Editorial Board Member, Li, Xiang, Editorial Board Member, Masri, Hatem, Editorial Board Member, Nickel, Stefan, Editorial Board Member, Qiu, Robin, Editorial Board Member, Shankar, Ravi, Editorial Board Member, Slowiński, Roman, Editorial Board Member, Tang, Christopher S., Editorial Board Member, Wu, Yuzhe, Editorial Board Member, Zhu, Joe, Editorial Board Member, Zopounidis, Constantin, Editorial Board Member, Trautmann, Norbert, editor, and Gnägi, Mario, editor

Published
2022
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9. An a-priori Parameter Selection Approach to Enhance the Performance of Genetic Algorithms Solving Pickup and Delivery Problems

Author

Rüther, Cornelius, Chamurally, Shabanaz, Rieck, Julia, Barbosa-Povoa, Ana Paula, Editorial Board Member, de Almeida, Adiel Teixeira, Editorial Board Member, Gans, Noah, Editorial Board Member, Gupta, Jatinder N. D., Editorial Board Member, Heim, Gregory R., Editorial Board Member, Hua, Guowei, Editorial Board Member, Kimms, Alf, Editorial Board Member, Li, Xiang, Editorial Board Member, Masri, Hatem, Editorial Board Member, Nickel, Stefan, Editorial Board Member, Qiu, Robin, Editorial Board Member, Shankar, Ravi, Editorial Board Member, Slowiński, Roman, Editorial Board Member, Tang, Christopher S., Editorial Board Member, Wu, Yuzhe, Editorial Board Member, Zhu, Joe, Editorial Board Member, Zopounidis, Constantin, Editorial Board Member, Trautmann, Norbert, editor, and Gnägi, Mario, editor

Published
2022
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19. Time Series Analysis and Prediction of Geographically Separated Accident Data

Author

Meißner, Katherina, Pal, Florian, Rieck, Julia, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Sitek, Paweł, editor, Pietranik, Marcin, editor, Krótkiewicz, Marek, editor, and Srinilta, Chutimet, editor

Published
2020
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21. A Grouping Genetic Algorithm for Multi Depot Pickup and Delivery Problems with Time Windows and Heterogeneous Vehicle Fleets

Author

Rüther, Cornelius, Rieck, Julia, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Paquete, Luís, editor, and Zarges, Christine, editor

Published
2020
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22. A practical and robust approach for solving the multi‐compartment vehicle routing problem under demand uncertainty using machine learning.

Author

Chamurally, Shabanaz and Rieck, Julia

Subjects
VEHICLE routing problem, MACHINE learning, SCHEDULING, CONSUMERS, DECISION making
Abstract

The multi‐compartment vehicle routing problem is an extension of the vehicle routing problem and consists of designing a set of routes to perform the collection or delivery of different product types from customers with minimal costs. The product types are incompatible with each other and must be transported separately in multiple compartments. In practice, several uncertainties such as uncertainty in demands can arise, where the exact demand of customers is not known at the time of planning. To deal with these uncertainties, decision‐makers have to rely on robust solutions. A solution is considered robust when it can resist perturbations in every possible demand scenario as much as possible. In the day to day business of most logistic companies, historical data about each customer can be stored and used to make intelligent decisions regarding the expected demands. In this article, we propose an adaptive large neighborhood search for solving the robust multi‐compartment vehicle routing problem under demand uncertainty and present a robust solution approach for the problem in practical settings by employing machine learning. We show that by using our approach, the solutions obtained have lower recourse costs and have a lower gap between expected and actual costs, which is a favorable outcome to have in practice. [ABSTRACT FROM AUTHOR]

Published
2024
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23. Investigating Returns Management across E-Commerce Sectors and Countries: Trends, Perspectives, and Future Research.

Author

Stevenson, Anthony Boyd and Rieck, Julia

Subjects
CUSTOMER satisfaction, INTERNET stores, SUSTAINABILITY, DATABASE searching, CONSUMERS
Abstract

Background: The systematic literature review with additional descriptive analysis at hand focuses on analysing returns management in e-commerce, which is an increasingly critical issue as the volume of online shopping is rising. Methods: Drawing from a comprehensive search of academic databases and a manual review of Google Scholar, 54 articles dating from 2007 onwards were collected and fully read. Results: The review reveals a main research effort emerging mainly from Germany and other countries, with a notable focus on fashion retail. The bulk of these studies aim to understand and reduce the frequency of customer returns, addressing a substantial operational challenge for online retailers. The findings provide multiple research streams extracted from the collected literature and combined to an overview. Conclusions: Through this, there are tendencies which can be interpreted to derive the evolution of the research field. The illustrated results in this review paint a detailed picture of the existing research landscape. This highlights the importance of ongoing research, which, e.g., holds potential benefits for customer satisfaction and environmental sustainability. The review also lists future research directions, recommending the continued investigation of areas such as predictive analytics and customer behaviour to further refine returns management practices. [ABSTRACT FROM AUTHOR]

Published
2024
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32. Exact Methods for Resource Leveling Problems

Author

Rieck, Julia, Zimmermann, Jürgen, Bernus, Peter, Series editor, Błażewicz, Jacek, Series editor, Schmidt, Günter J., Series editor, Shaw, Michael J., Series editor, Schwindt, Christoph, editor, and Zimmermann, Jürgen, editor

Published
2015
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34. MILP-Formulations for the Total Adjustment Cost Problem

Author

Kreter, Stefan, Rieck, Julia, Zimmermann, Jürgen, Helber, Stefan, editor, Breitner, Michael, editor, Rösch, Daniel, editor, Schön, Cornelia, editor, Graf von der Schulenburg, Johann-Matthias, editor, Sibbertsen, Philipp, editor, Steinbach, Marc, editor, Weber, Stefan, editor, and Wolter, Anja, editor

Published
2014
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