INFORMS Open Forum

IISE Annual Conference & Expo 2024 Call for Abstracts and Presentation Summaries - Quality Control and Reliability Engineering (QCRE) Division

  • 1.  IISE Annual Conference & Expo 2024 Call for Abstracts and Presentation Summaries - Quality Control and Reliability Engineering (QCRE) Division

    Posted 10-31-2023 13:50
      |   view attached

    IISE Annual Conference & Expo 2024
    Call for Abstracts and Presentation Summaries

    Montreal Convention Centre | Montreal, Canada
    May 18-21, 2024

    Track: Quality Control and Reliability Engineering (QCRE)

    Abstract Submission Link available on Conference Website: https://www.iise.org/Annual/  

    Dear Colleagues,

    The Quality Control and Reliability Engineering Division of the Institute of Industrial & Systems Engineers (IISE) is sponsoring the QCRE Track at the IISE Annual Conference & Expo 2024. The conference is a forum for exchanging knowledge and discoveries in the Industrial and Systems Engineering research and practitioner communities. The IISE Annual Conference & Expo 2024 will continue to integrate research and industry applications under one conference.

    As Track Chairs of the QCRE Track, we encourage you to contribute to the Conference and Track by submitting a 250-word abstract or presentation summary. Authors will be able to claim these works as refereed extended abstracts, which will be available on the conference website and can be cited. They will not be copyrighted or indexed in the official conference proceedings, and therefore there is no limitation on reusing this material for other purposes (e.g., toward the publication of journal papers or subsequent conference proceedings).  We highly encourage Abstracts and Presentations Summaries that demonstrate international collaboration and the application of emerging technologies and methods.  Key areas include:

    ·        Big Data in Quality and Reliability

    ·        Deep Learning in Quality Control and Reliability Engineering

    ·        Data Streams and Online Data Analysis

    ·        Reliability, Availability, Maintainability

    ·        Reliability Prediction, Modeling and Analysis

    ·        Physical Reliability Modeling

    ·        Reliability Growth Modeling

    ·        Degradation and Lifetime Testing

    ·        Accelerated Life Testing

    ·        System Reliability and Optimization

    ·        Warranty Data Analysis

    ·        Distributed Sensing and Data Analysis

    ·        Decision Analysis and Risk Management

    ·        High-dimensional Data Analysis

    ·        IoT & Cyber Manufacturing

    ·        Systems Resilience Analysis

    ·        Quality Engineering and Applied Statistics

    ·        Quality Improvement in the Service Sector

    ·        Quality Planning and Management

    ·        Statistical Quality Control and Diagnosis

    ·        Six Sigma Methods and Process Capability

    ·        Statistical Process Control & Tolerancing

    ·        Design and Analysis of Experiments

    ·        Profiles and Multiple Responses

    ·        Multivariate Data Analysis

    ·        Bayesian Methods

    ·        Response Surface and Surrogate Modeling

    ·        Sampling and Inspection

    ·        Nonparametric Methods

    ·        Data Analytics in Cybersecurity

    Authors of accepted abstracts and presentation summaries will be invited to share their work in a conference session. Regular sessions will be 80 minutes and have up to four presentations. There will also be options where authors can elect to share their content in a "Poster Session". In addition, there are opportunities to organize and/or participate in Special Sessions (Panels, Workshops, etc.). If you are interested in a special session, please contact us directly by November 10, 2023.

    While not required, we strongly encourage all presenters to submit a paper for publication so discoveries can be permanently documented.  This year, two types of papers will be considered: Research Papers and Case Study Papers. 

          Research Papers (with a limit of six pages) contain methods and results that are significant and have archival value to the industrial and systems engineering community.  They will undergo a double-blind peer review process and accepted papers will be copyrighted and indexed in the Conference Proceedings via ProQuest.

          Case Study Papers (two to six pages) describe the application of a method or technology that addresses an important industry-motivated issue.  They will be reviewed to ensure that the content focuses on the value and lessons learned for the Industrial and Systems Engineering community.  The case study papers should avoid significant marketing material.  Accepted manuscripts will be published with access via the IISE website.

      Important deadlines:

    ·       Submission deadline for abstract/presentation summary:            November 17, 2023

    ·       Notification of decision on abstract/presentation summary:         December 22, 2023

    ·       Paper submission deadline:                                                      February 9, 2024

    (Paper submission is optional but encouraged.)              

    ·       Notification on full paper decision:                                             March 8, 2024

    ·       Speaker registration deadline:                                                   March 22, 2024

    ·       Paper final revision submission deadline:                                   March 22, 2024

    Important Note

    Authors/Presenters with approved abstracts must register for the Conference by March 22, 2024. Authors/Presenters that do not register by this date will have their presentations/papers withdrawn from the program and the proceedings. The presenting author must attend and present the paper at the conference.

    We look forward to seeing you in Montreal!

    Best Regards,

    Xiaolei Fang (xfang8@ncsu.edu)

    Syed Hasib Akhter Faruqui (shf006@shsu.edu)

    Zimo Wang (zimowang@binghamton.edu) 

    QCRE Track Chairs



    ------------------------------
    Xiaolei Fang
    Assistant Professor
    Edward P. Fitts Department of Industrial and Systems Engineering
    North Carolina State University
    Raleigh, NC
    ------------------------------