Please find my research statement.

My research mission is to develop rigorous methodologies to solve a class of problems which I define as Responsible Operations, Analytics, and Design (ROAD). Here, Responsible has a two-pronged meaning. First, these methodologies are developed responsibly, i.e., in an interpretable and trustworthy way. Second, I apply these methodologies to my responsible vision, i.e., toward (1) resilient, (2) circular, and (3) humane supply chain network and economy (SCNE). Currently, these methodologies lie at the intersection of stochastic and contextual optimization, causal inference / empirical methods, and algorithmic/continuous approximation techniques. I am passionate about pursuing this research mission because not only are these problems important to society but also because I believe there is a tremendous opportunity to solve these important problems by developing novel models and methods that are interesting and impactful.

Papers Under Review and Revision

  1. Saragih, A., Janjevic, M., Winkenbach, M., Montibeller, G. (2024). Pivotal Uncertainties to Resolve: Optimal Information Gathering in Supply Chain Design. Under 2nd Round Review After R&R in Manufacturing & Service Operations Management [SSRN]
    A version of this paper was accepted for presentation at M&SOM 2023 Conference, M&SOM 2024 Conference, 2023 Purdue Operations Conference
  2. Saragih, A., Pontes, L., Amin, S., Fransoo, J. (2024). Spin the Bottle Bill: Deposit Refund System Policy and Reverse Supply Chain Design. Under Review in Operations Research [Paper] [SSRN]
    A version of this paper was accepted for presentation at the 2024 Purdue Operations Conference

Working Papers

  1. Saragih, A., Janjevic, M., Sheffi, Y. (2024).Endogenous Uncertainty to Explain: Causal Contextual Optimization in Recycling Reverse Logistics Network Design. To be submitted to Production and Operations Management  
    A version of this paper was accepted for presentation at the 2024 Purdue Operations Conference

Published Papers

  1. Saragih, A., Janjevic, M., Winkenbach, M. (2024). Revitalizing Recycling: Review of the Current State, Policies, and Lessons Learned for the Future. MIT Science Policy Review, 5, 50-57. 10.38105/spr.5rbiekp17o [Paper]
  2. Thais, S., Shumway, H.,  Saragih, A. (2023). Algorithmic bias: Looking beyond data bias to ensure algorithmic accountability and equity. MIT Science Policy Review, 4, 59-66. 10.38105/spr.5lwvw66ssy [Paper]
  3. Saragih, A. (2013). Do We Test What We Test?: A Qualitative Approach to Validity Analysis in Instrument Design. The Journal of Purdue Undergraduate Research, 3(1), 19. Link

Managerial Articles

  1. Saragih, A., & Ahmed, S. (2022). E-B2B distribution strategies for fragmented retail environments: Saving India’s mom-and-pop stores. Supply Chain Management Review Link

News and Conference Papers

  1. Wertz, R.E.H., Saragih, A., Van Epps, A., Fosmire, M.J., Sapp Nelson, M., Dillman, G., & Purzer, S. (2013). Work in Progress: Critical Thinking and Information Literacy: Assessing Student Performance. Proceedings of 120th ASEE Annual Conference.
  2. Wertz, R.E.H., Saragih, A., Van Epps, A., Fosmire, M.J. & Purzer, S. (2013). An Evaluation of the Critical Engineering Literacy Test (CELT) Instrument through Item Analysis and Comparison to the Critical Assessment Test (CAT). Proceedings of 2013 Illinois/Indiana – ASEE Section Conference (Angola, IN).