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Showing 1 to 8 of 8 for “"scheduling under uncertainty"”.

  1. Metaheuristic strategies for scheduling under uncertainty

    Scheduling problems are a kind of combinatorial problems that pose a great challenge to Artificial Intelligence researchers, being very hard to solve. They are well-known NP-complete problems which have had a great presence in the literature during the last decades. However, in the classical …

    oviedo Repository record for Metaheuristic strategies for scheduling under uncertainty (opens in a new tab)

  2. Models and Methods for Multiple Resource Constrained Job Scheduling under Uncertainty

    We consider a scheduling problem where each job requires multiple classes of resources, which we refer to as the multiple resource constrained scheduling problem(MRCSP). Potential applications include team scheduling problems that arise in service industries such as consulting and operating room …

    arizona-thes Repository record for Models and Methods for Multiple Resource Constrained Job Scheduling under Uncertainty (opens in a new tab)

  3. A Systematic Framework for Machine Learning-Based Robust Project Scheduling Under Uncertainty

    … throughout project execution. Classical project scheduling approaches in the field, which typically rely on deterministic information, such as fixed activity durations, are limited in their ability to accommodate real-time project uncertainties and risks. Therefore, robust project scheduling

    exeter

  4. Decision-making with networks. Shift scheduling under uncertainty and smart, connected products

    … shift generation rules for handling shift scheduling under uncertainty (Chapter 3 and Chapter 4), as well as the interdependencies of demand in the context of smart, connected products (Chapter 5). Chapter 3 introduces a novel approach by incorporating a state-expanded network into …

    bielefeld Repository record for Decision-making with networks. Shift scheduling under uncertainty and smart, connected products (opens in a new tab)

  5. MODELS AND OPTIMIZATION FOR ELECTIVE SURGERY SCHEDULING UNDER UNCERTAINTY CONSIDERING PATIENT HEALTH CONDITION

    The managerial aspects to run a healthcare system are becoming increasingly important for patient safety. More than one patients are competing each other to be treated using limited medical resources in a healthcare system. The limited medical resources include surgeons, physicians, …

    purdue-thes Repository record for MODELS AND OPTIMIZATION FOR ELECTIVE SURGERY SCHEDULING UNDER UNCERTAINTY CONSIDERING PATIENT HEALTH CONDITION (opens in a new tab)

  6. Planning and Scheduling in Temporally Uncertain Domains

    … adherence of the model to the actual reality. Scheduling is the problem of finding a suitable timing to execute a given set of activities accommodating complex temporal constraints. Planning is the problem of finding a strategy for an agent to achieve a desired goal given a formal model of the …

    trento Repository record for Planning and Scheduling in Temporally Uncertain Domains (opens in a new tab)

  7. Approximation algorithms for stochastic scheduling on unrelated machines

    … algorithms for an important class of machine scheduling problems. We study the family of preemptive minimum makespan scheduling problems where jobs have stochastic processing requirements and provide the first approximation algorithms for these problems when machines have unrelated speeds. We …

    mit Repository record for Approximation algorithms for stochastic scheduling on unrelated machines (opens in a new tab)