{"id":7447,"date":"2022-07-06T14:18:41","date_gmt":"2022-07-06T14:18:41","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/wsc2022\/?page_id=7447"},"modified":"2022-08-11T16:53:43","modified_gmt":"2022-08-11T16:53:43","slug":"case-study-competition","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/wsc2022\/case-study-competition\/","title":{"rendered":"Case Study Competition"},"content":{"rendered":"\n
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In line with the spirit of \u201cReimagine Tomorrow\u201d, the theme for this year\u2019s Winter Simulation Conference (WSC), we are thrilled to introduce our Case Study Competition which will examine the role of simulation in next-generation industrial systems as well as plant the seeds of collaboration between academia and industry.<\/p>\n

Titled \u201cSmart Simulation for Intelligence Incubation\u201d, the competition aims at demonstrating and promoting simulation\u2019s ability to cooperate with optimization rules and data learning in order to improve the overall performance of intelligent systems. It will provide participants with an opportunity to explore and exploit the use of simulation tools in supporting real-time decision analysis under different scenarios.<\/p>\n

Well-known for its efficiency in logistics services, Singapore is currently in the midst of developing the world\u2019s largest next-generation container port. 2022 WSC examines the country\u2019s next-generation logistics and port systems integration and how simulation can provide quality solutions in planning for the future. To further support this effort, the organizers have selected a classic case \u2013automated grid mover system\u2013 from the maritime port and logistics industry as the main case study for the competition. We strongly encourage all who are interested in simulation to join us and try your hand at the Case Study Competition!<\/p>\n

More information will be announced at a later date. Stay tuned and keep a lookout on this page for more updates!<\/p>\n

For any inquiries, please feel free to drop our Case Competition Chair, Dr. Li Haobin, an email at li_haobin@nus.edu.sg<\/a>.<\/p>\n

This competition is supported by Huawei, which assists the competition’s execution and is responsible for the award’s disbursement to the competition winners.<\/p> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n

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Problem Description<\/strong><\/h2>\n

Using the automated grid mover system as the case study for this competition, the organizers will build a basic simulation system model with discrete-event modeling methods and implement it in Python. The organizers will also provide clear documentation to describe the model structure according to the rigorously defined modeling formalism.<\/p>\n

The organizers will specify the data and source code according to the following three aspects of information:<\/p>\n

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  1. Variable scenario parameters, based on which the system shall operate, such as real-time demand and resource availability, etc.<\/li>\n
  2. The key decisions and default rules involved in the operation of the system, such as path planning, task assignment, etc.<\/li>\n
  3. Performance indicators to measure the efficiency and quality of the system operations.<\/li>\n<\/ol> <\/div>\n<\/div>\n\n
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    \n \"system_operations_KPIs\" \n <\/div>\n \n \n <\/div>\n\n
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    1. Participants are required to:
      Use Python to rewrite and replace (B) in order to maximize the performance indicators in (C) given various scenarios in (A).<\/li>\n
    2. Generate logic rules in (B) through various ways, including but not limited to:\n