Many decisions to be made in management or planning of an enterprise are optimization problems. The field of research concerned with solving them is called operations research [運籌學]. We are concerned with questions such as
- How can we divide blocks of raw material into parts of exactly the right sizes needed for the work pieces the customer wants, with minimum wastage?
- If a company has already several dependencies in China and wants to open a new office, in which city should that be located to maximize customer coverage and company profit?
- How should incoming customer orders be assigned to machines for manufacturing so that all orders are completed on time and as fast as possible (also considering that an order may need to be processed by multiple machines in multiple steps)?
These few examples show that the direction borders directly to our logistics direction and topics relevant to the concepts of Industry 4.0 and Made in China 2025 [中国制造2025] as it can make production both greener and more intelligent. Our institute can provide a framework for the optimized operation in a highly automated manufacturing environment.
Abhishek Awasthi, Jörg Lässig, Thomas Weise, and Oliver Kramer. Tackling Common Due Window Problem with a Two-Layered Approach. In Proceedings of the 10th International Conference on Combinatorial Optimization and Applications (COCOA 2016), Hong Kong, China, December 16–18, 2016, volume 10043 of Lecture Notes in Computer Science book series (LNCS), pages 772-781, Cham, Switzerland: Springer. ISBN: 978-3-319-48748-9 (print), 978-3-319-48749-6 (online)
Abhishek Awashi, Jörg Lässig, Jens Leuschner, and Thomas Weise. GPGPU-based Parallel Algorithms for Scheduling Against Due Date. In Proceedings of 6th IEEE Workshop on Parallel Computing and Optimization (PCO'16), Chicago, IL, USA, May 23-27, 2016, pages 766-775. Piscataway, NJ, USA: IEEE Computer Society. ISBN: 978-1-5090-3682-0
doi:10.1109/IPDPSW.2016.66 / pdf
Indexing: EI:20164302934880, WOS:000391253600089
Chao Gao, Xin Yao, Thomas Weise, and Jinlong Li. An Efficient Local Search Heuristic with Row Weighting for the Unicost Set Covering Problem. European Journal of Operational Research (EJOR), 246(3):750-761, November, 2015.
doi:10.1016/j.ejor.2015.05.038 / pdf
Indexing: EI:20152400938829, WOS:000357754500008, SCI
Abhishek Awasthi, Jörg Lässig, Oliver Kramer, and Thomas Weise. Common Due-Window Problem: Polynomial Algorithms for a Given Processing Sequence. In Proceedings of the IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS'14), Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI'14), pages 32-39, Orlando, FL, USA: Caribe Royale All-Suite Hotel and Convention Center, December 9–12, 2014. Los Alamitos, CA, USA: IEEE Computer Society Press.
doi:10.1109/CIPLS.2014.7007158 / pdf
Indexing: EI:20150700522279, WOS:000380487400005
Chao Gao, Thomas Weise, and Jinlong Li. Improve the 3-flip Neighborhood Local Search by Random Flat Move for the Set Covering Problem. In Ying Tan, Yuhui Shi, and Carlos Artemio Coello Coello, editors, Advances in Swarm Intelligence: Proceedings of the Fifth International Conference on Swarm Intelligence, Part 1 (ICSI'14), volume 8794 of Lecture Notes in Computer Science (LNCS), ISBN 978-3-319-11856-7, October 17-20, 2014, Hefei, Anhui, China, pages 27-35. Berlin, Germany: Springer-Verlag GmbH.
doi:10.1007/978-3-319-11857-4_4 / pdf
Indexing: EI:20150400451475, WOS:000345009700004
Kai Zhang, Thomas Weise, and Jinlong Li. Fitness Level based Adaptive Operator Selection for Cutting Stock Problems with Contiguity. In Proceedings of the IEEE Congress on Evolutionary Computation (CEC'14), Proceedings of the 2014 World Congress on Computational Intelligence (WCCI'14), pages 2539-2546, July 6-11, 2014, Beijing, China: Beijing International Convention Center (BICC). Los Alamitos, CA, USA: IEEE Computer Society Press. ISBN: 978-1-4799-1488-3.
doi:10.1109/CEC.2014.6900335 / pdf
Indexing: EI:201446182765, WOS:000356684603067
Chao Gao, Thomas Weise, and Jinlong Li. A Weighting-Based Local Search Heuristic Algorithm for the Set Covering Problem. In Proceedings of the IEEE Congress on Evolutionary Computation (CEC'14), Proceedings of the 2014 World Congress on Computational Intelligence (WCCI'14), pages 826-831, Beijing, China: Beijing International Convention Center (BICC), July 6-11, 2014. ISBN: 978-1-4799-1488-3, Los Alamitos, CA, USA: IEEE Computer Society Press.
doi:10.1109/CEC.2014.6900355 / pdf
Indexing: EI:201446182585, WOS:000356684601029
Raymond Chiong, Thomas Weise, and Zbigniew Michalewicz, editors. Variants of Evolutionary Algorithms for Real-World Applications. ISBN: 978-3-642-23423-1, Berlin/Heidelberg: Springer-Verlag, 2012.
Thomas Weise and Raymond Chiong. A Novel Extremal Optimization Approach for the Template Design Problem. International Journal of Organizational and Collective Intelligence (IJOCI), 2(2):1-17, April–June 2011.
Pu Wang, Edward P.K. Tsang, Thomas Weise, Ke Tang, and Xin Yao. Using GP to Evolve Decision Rules for Classification in Financial Data Sets. In Fuchun Sun, Yingxu Wang, Jianhua Lu, Bo Zhang, Witold Kinsner, and Lotfi A. Zadeh, editors, Proceedings of the 9th IEEE International Conference on Cognitive Informatics (ICCI'10), pages 720-727, Beijing, China: Tsinghua University, July 7–9, 2010. ISBN: 978-1-4244-8040-1, Los Alamitos, CA, USA: IEEE Computer Society Press.
Raymond Chiong, Thomas Weise, and Bee Theng Lau. Template Design using Extremal Optimization with Multiple Search Operators. In Nanna Suryana Herman, Siti Mariyam Shamsuddin, and Ajith Abraham, editors, Proceedings of the International Conference on SOft Computing and PAttern Recognition (SoCPaR'09), pages 202-207, Malacca, Malaysia: Melaka International Trade Centre (MITC), December 4–7, 2009. ISBN: 978-1-4244-5330-6, Piscataway, NJ, USA: IEEE (Institute of Electrical and Electronics Engineers).
Indexing: EI:20101012758280, WOS:000277207700035
Thomas Weise, Alexander Podlich, and Christian Gorldt. Solving Real-World Vehicle Routing Problems with Evolutionary Algorithms. In Raymond Chiong and Sandeep Dhakal, editors, Natural Intelligence for Scheduling, Planning and Packing Problems, volume 250 of Studies in Computational Intelligence, chapter 2, pages 29-53. ISBN: 978-3-642-04038-2, Berlin/Heidelberg: Springer-Verlag, October 2009.
doi:10.1007/978-3-642-04039-9_2 / pdf
Diana Elena Comes, Steffen Bleul, Thomas Weise, and Kurt Geihs. A Flexible Approach for Business Processes Monitoring. In Twittie Senivongse and Rui Oliveira, editors, Proceedings of the 9th IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems (DAIS'09), volume 5523/2009 of Lecture Notes in Computer Science (LNCS), pages 116-128, Lisbon, Portugal, June 9–11, 2009. ISBN: 978-3-642-02163-3, Berlin, Germany: Springer-Verlag GmbH.
Indexing: EI:20093412265790, WOS:000268061500009
National Natural Science Foundation of China (NSFC), International (Regional) Cooperation and Exchange Project "Operations Management in Compact Storage System Supply Chains in the Environment of Internet of Things," 2016 to 2020, Principal Investigator： Prof. Yugang Yu [余玉刚], Dr. Thomas Weise is a member of the research team
National Natural Science Foundation of China (NSFC), Research Fund for International Young Scientists, "Automatic Logistic Planning," 2012, Principal Investigator was Dr. Thomas Weise
3. Organized Events
Thomas Weise, Bin Li, Markus Wagner, Xingyi Zhang, and Jörg Lässig. International Workshop on Benchmarking of Computational Intelligence Algorithms (BOCIA) at the Tenth International Conference on Advanced Computational Intelligence (ICACI 2018), March 29-31, 2018 in Xiamen, China
website / Call for Papers (CfP)
Thomas Weise and Jörg Lässig. Special Session on Benchmarking and Testing for Production and Logistics Optimization of the 2014 IEEE Symposium on Computational Intelligence in Production and Logistics at the 2014 IEEE Symposium Series on Computational Intelligence (SSCI 2014), December 9-12, 2014, Orlando, Florida, USA
Thomas Weise, Jörg Lässig, Alexandre Devert, and Yi Mei. Special Session on Scalable Evolutionary Logistic Planning (SELP) of the 2013 IEEE Symposium on Computational Intelligence in Production and Logistics at the 2013 IEEE Symposium Series on Computational Intelligence (SSCI 2013), April 15-19, 2013, Grand Copthorne Waterfront Hotel, Singapore