Jose M. Pinto

Enhancing explainability of stochastic programming solutions via scenario and recourse reduction

  • Tushar Rathi
  • Rishabh Gupta
  • Jose M. Pinto
  • Qi Zhang
    • Categories Stochastic Programming Tags , , ,

    Stochastic programming (SP) is a well-studied framework for modeling optimization problems under uncertainty. However, despite the significant advancements in solving large SP models, they are not widely used in industrial practice, often because SP solutions are difficult to understand and hence not trusted by the user. Unlike deterministic optimization models, SP models generally involve recourse … Read more

    Robust Multi-Period Vehicle Routing under Customer Order Uncertainty

  • Chrysanthos E. Gounaris
  • Anirudh Subramanyam
  • Jose M. Lainez-Aguirre
  • Frank Mufalli
  • Jose M. Pinto
    • Categories Robust Optimization, Transportation Tags , ,

    In this paper, we study multi-period vehicle routing problems where the aim is to determine a minimum cost visit schedule and associated routing plan for each period using capacity-constrained vehicles. In our setting, we allow for customer service requests that are received dynamically over the planning horizon. In order to guarantee the generation of routing … Read more