INFORMS Open Forum

Congratulations to the 2023 Daniel Wagner Prize Finalists

  • 1.  Congratulations to the 2023 Daniel Wagner Prize Finalists

    Posted 09-18-2023 12:03
    Edited by James Cochran 09-18-2023 12:03

    I would like to invite you to attend this year's Wagner sessions at the Annual Meeting.  Three amazing finalists will be competing on Monday.  The winner will be announced on Tuesday, during the Wagner reprise keynote 5:25 - 6:15pm.

    MA79
    8:00am CC-West 211B


    Title:  Smart Parcel Consolidation at Cainiao
    Primary Author:  Biao Yuan, Shanghai Jiao Tong University 

    Abstract:
    Cainiao has constructed a smart parcel consolidation system to consolidate parcels ordered by the same consumer during fulfillment from China to 52 countries since 2020, saving tens of millions of dollars annually and shortening the delivery time by at least 50%. The main innovations of this work are: 1) three analytical methods are integrated to support real-world business process decisions successfully, and 2) a two-stage online optimization algorithm with one parameter is proposed to solve the parcel consolidation problem where a parcel may be involved in several times of decisions.

    Title:  The Sort-Assemble-Blend Routing Problem and its Application to Semiconductors
    Primary Author:  
    Karl Kempf, Intel Corporation

    Abstract:
    Although a recent shift from large monolithic die to multiple small die as the preferred method to realize semiconductor product has important advantages, it adds complexity to the design and manufacturing processes. While manufacturing yields and product performance are enhanced, new problems of sorting small die into categories, developing recipes to combine categories, and routing die to maximize their utilization must be solved. A three level iterative system has been developed to address the resulting non-linear non-convex challenge. The system has yielded over $500M in benefits so far.

    MB79
    10:45 am CC-West 211B

     

    Title:  Delta Coverage: The Analytics Journey to Implement a Novel Nurse Deployment Program
    Primary Author:  Pengyi Shi, Purdue University

    Abstract:
    We embarked on a journey in partnership with Indiana University (IU) Health System, the largest health system in Indiana with 16 hospitals, to jointly develop a suite of advanced data and decision analytics to support their new internal travel nursing program. This program leverages a flexible pool of resource nurses that can be moved between the 16 hospitals. To support this program, we developed an integrated decision support tool (DSS), which was implemented in October 2021 with annualized savings estimated at over $400K with over 220 understaffed shifts being avoided.



    ------------------------------
    James J. Cochran
    Associate Dean for Faculty and Research
    The University of Alabama
    Tuscaloosa AL
    ------------------------------