Applications – OR and Management Sciences

Data-Driven Multistage Scheduling Optimization for Refinery Production under Uncertainty: Systematic Framework, Modeling Approach, and Application Analysis

  • Biao Han
    • Categories Control Applications, Scheduling, Stochastic Programming Tags , , , , , , ,

    The widespread existence of various uncertainties makes the inherently complex refinery production scheduling problem even more challenging. To address this issue, this paper proposes a viable systematic data-driven multistage scheduling optimization framework and develops a corresponding structured modeling methodology. Under this paradigm, unit-level advanced control and plant-level intelligent scheduling are coordinated to jointly deal with … Read more

    Mixed-Feature Logistic Regression Robust to Distribution Shifts

  • Qingshi Sun
  • Nathan Justin
  • Andrés Gómez
  • Phebe Vayanos
    • Categories Applications - OR and Management Sciences, Integer Programming, Robust Optimization Tags , , ,

    Logistic regression models are widely used in the social and behavioral sciences and in high-stakes domains, due to their simplicity and interpretability properties. At the same time, such domains are permeated by distribution shifts, where the distribution generating the data changes between training and deployment. In this paper, we study a distributionally robust logistic regression … Read more

    A surplus-maximizing two-sided multi-period non-convex ISO auction market

  • Richard O'Neill
  • Yonghong Chen
    • Categories (Mixed) Integer Linear Programming, Applications - OR and Management Sciences, Other Topics Tags , , ,

    Since the inception of ISOs, Locational Marginal Prices (LMPs) alone were not market clearing or incentive compatible because an auction winner who offered its avoidable costs could lose money at the LMPs. ISOs used make-whole payments to ensure that market participants did not lose money. Make-whole payments were not public, creating transparency issues. Over time, … Read more

    Responsible Machine Learning via Mixed-Integer Optimization

  • Nathan Justin
  • Qingshi Sun
  • Andrés Gómez
  • Phebe Vayanos
    • Categories Applications - OR and Management Sciences, Integer Programming, Optimization in Data Science Tags , , , , , ,

    In the last few decades, Machine Learning (ML) has achieved significant success across domains ranging from healthcare, sustainability, and the social sciences, to criminal justice and finance. But its deployment in increasingly sophisticated, critical, and sensitive areas affecting individuals, the groups they belong to, and society as a whole raises critical concerns around fairness, transparency … Read more

    Paving the Way for More Accessible Cancer Care in Low-Income Countries with Optimization

  • Abel Sapirstein
  • Lauren Steimle
  • Mathieu Dahan
    • Categories Applications - OR and Management Sciences Tags , , , , ,

    Cancers are a growing cause of morbidity and mortality in low-income countries. Geographic access plays a key role in both timely diagnosis and successful treatment. In areas lacking well-developed road networks, seasonal weather events can lengthen already long travel times to access care. Expanding facilities to offer cancer care is expensive and requires staffing by … Read more

    A data-driven robust approach to a problem of optimal replacement in maintenance

  • Sina Shahri Majarshin
  • Ahmadreza Marandi
  • Geert-Jan van Houtum
    • Categories Applications - OR and Management Sciences, Robust Optimization, Statistics Tags , , ,

    Maintenance strategies are pivotal in ensuring the reliability and performance of critical components within industrial machines and systems. However, accurately determining the optimal replacement time for such components under stress and deterioration remains a complex task due to inherent uncertainties and variability in operating conditions. In this paper, we propose a comprehensive approach based on … Read more

    A Decision Diagram Approach for the Parallel Machine Scheduling Problem with Chance Constraints

  • Nicolás Casassus
  • Margarita P Castro
  • Gustavo Angulo
    • Categories Branch and Cut Algorithms, Scheduling, Stochastic Programming Tags , ,

    The Chance-Constrained Parallel Machine Scheduling Problem (CC-PMSP) assigns jobs with uncertain processing times to machines, ensuring that each machine’s availability constraints are met with a certain probability. We present a decomposition approach where the master problem assigns jobs to machines, and the subproblems schedule the jobs on each machine while verifying the solution’s feasibility under … Read more

    Data-driven robust menu planning for food services: Reducing food waste by using leftovers

  • Marloes Remijnse
  • Marjolein Buisman
  • Ahmadreza Marandi
  • S.U.K Rohmer
  • Tom Van Woensel
    • Categories (Mixed) Integer Linear Programming, Applications - OR and Management Sciences, Robust Optimization Tags , , , ,

    With food waste levels of about 30%, mostly caused by overproduction, reducing food waste poses an important challenge in the food service sector. As food is prepared in advance rather than on demand, there is a significant risk that meals or meal components remain uneaten. Flexible meal planning can promote the reuse of these leftovers … Read more

    Arc-Based Dynamic Discretization Discovery for Continuous-Time Service Network Design

  • Alexander Helber
    • Categories Combinatorial Optimization, Network Optimization, Transportation Tags , , ,

    In the continuous time service network design problem, a freight carrier decides the path of shipments in their network as well as the dispatch times of the vehicles transporting the shipments. State-of-the-art algorithms to solve this problem are based on the dynamic discretization discovery framework. These algorithms solve a relaxation of the problem using a … Read more

    An Environmentally Sustainable Feasible Policy for Dynamic Lot Sizing Model with Remanufacturing and Separate Setup Costs: Time Complexity and Optimality

  • Chee-Khian Sim
    • Categories Dynamic Programming, Production and Logistics Tags , , ,

    We consider a dynamic lot sizing model in which end products to satisfy demands are obtained by remanufacturing m types of cores, where m ≥ 1, or manufacturing from raw materials, and in the model, we have separate setup costs for manufacturing and remanufacturing. As is widely known, remanufacturing is an environmental preferable choice compared … Read more