INFORMS Open Forum

SFO INFORMS Chapter Event - March 28, 2024

  • 1.  SFO INFORMS Chapter Event - March 28, 2024

    Posted 03-21-2024 19:31
      |   view attached

    Hi everyone! Wanted to again invite anyone interested to our upcoming in-person event in the San Francisco Bay Area!

    RSVP via this link: https://www.meetup.com/informs-sfo-chapter/events/299641931/

    Details

    Join us at our upcoming in-person event! The gathering kicks off at 5 pm with food, drinks and networking. The talks will start at 5:45pm, and feature presentations from a set of speakers. Explore a series of concise 10-minute talks highlighting the diverse range of optimization use cases. Discover the broad applications across various industries, each contributing a significant impact.

    We will be meeting at the following location:
    Amazon Office - SJC38
    3075 Olcott St, Santa Clara, CA 95054

    You're welcome to invite a colleague who you think might have an interest in the field of optimization. We would also like to invite you to join us at the nearby Bare Bottle Brewery following the event.

    Here are the speakers and abstracts for each of the presentations:

    Shubhangi Deshpande (Operations Research Scientist at Workday)

    Title: A workforce scheduling problem modeled as a mixed integer programming problem

    Abstract: During this talk, we'll begin by discussing the problem statement concerning workforce scheduling. Following that, we'll delve further into the MIP formulation, covering the model variables, constraints, and objectives. Lastly, we'll wrap up the talk by addressing the existing challenges and exploring potential solution approaches.
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    Ed Klotz (Sr. Mathematical Optimization Specialist at Gurobi)

    Title: A Brief Survey of Mathematical Optimization in the Energy Industry

    Abstract: We will briefly describe several mathematical optimization use cases in the energy industry, including renewables. In particular, we will see how mathematical optimization can help address the additional variability associated with renewable energy sources. Some cases involve applying classical optimization models such as facility location and supply chain logistics to fit specific operational requirements involving renewable energy. Others involve models specific to the actual energy production process. References with more details will be provided.

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    Luis Rodriguez Garcia (Postdoctoral Researcher at Lawrence Berkeley National Laboratory)

    Title: Involving equity in the resilient planning of power distribution systems against heat waves

    Abstract: Extreme heat events disrupt the operation of power systems, increasing electricity demand, causing power outages, and exposing communities to an inequitably distributed risk of overheating. This talk discusses the inclusion of the overheating risk inequity into power distribution system investment planning. This approach aims to enhance the resilience of power distribution systems to extreme heat while ensuring that new resources are equitably distributed according to community heat vulnerability.
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    Phil Kaminsky (Sr. Principal Research Scientist at Amazon Middle Mile)

    Title: Freight Capacity Portfolio Optimization in Amazon's Two-Sided Freight Marketplace

    Abstract: In the Amazon linehaul transportation marketplace, Amazon acquires capacity to ship truckloads in its middle mile network, and provides capacity to external shippers. Because of Amazon's high shipment volumes and commitment to rapid delivery of goods to customers, some capacity is most efficiently acquired long before it is utilized, while some capacity is best acquired immediately preceding its use. Amazon's large internal demand for linehaul shipping means that Amazon is well-positioned to do this, acquiring a portion of capacity through medium and long-term contracts before specific demand for that capacity is identified, while delaying the acquisition of dynamically priced spot capacity for highly uncertain demand. At Amazon, we have developed a transportation marketplace, and a series of models and tools, that allow Amazon to use pricing levers to optimize its transportation capacity portfolio. This approach enables Amazon to effectively align capacity risk, supply risk and price, and to provide carriers and shippers with tools to effectively manage their operations. We give a (brief) overview of this marketplace.

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    Max Henrion (CEO at Lumina Decision Systems)

    Title and Abstract Pending
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    Larry Jin (Data Science Manager at c3.ai)

    Title and Abstract Pending
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    We will be meeting at the following location:
    Amazon Office - SJC38
    3075 Olcott St, Santa Clara, CA 95054

    We would also like to invite you to join us at the nearby Bare Bottle Brewery following the event.



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    Anita Bowers
    Sr. Account Manager
    Gurobi
    Reno NV
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