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Minimizing total tardiness in a stochastic single machine scheduling problem using approximate dynamic programming
(SPRINGER, 2010)
This paper addresses the non-preemptive single machine scheduling problem to minimize total tardiness. We are interested in the online version of this problem, where orders arrive at the system at random times. Jobs have ...
A MULTIOBJECTIVE APPROACH TO THE SHORT-TERM SCHEDULING OF A HYDROELECTRIC POWER-SYSTEM
(Ieee-inst Electrical Electronics Engineers IncNew York, 1995)
Industry 4.0: Smart Scheduling
(Taylor & Francis Ltd, 2018-08-03)
Smart Manufacturing and Industry 4.0 production environments integrate the physical and decisional aspects of manufacturing processes into autonomous and decentralised systems. One of the main aspects in these systems is ...
Reactive Scheduling of DAG Applications on Heterogeneous and Dynamic Distributed Computing Systems
(Revista Computación y Sistemas; Vol. 13 No. 2, 2009-10-15)
Abstract. Emerging computational platforms enable a set of geographically distributed computers with different capabilities
to be linked together and used in a coordinated fashion to solve a parallel application at the ...
Dynamic Scheduling of Multiproduct Pipelines with Multiple Delivery Due Dates
(Elsevier, 2008-12)
Scheduling product batches in pipelines is a very complex task with many constraints to be considered. Several papers have been published on the subject during the last decade. Most of them are based on large-size MILP ...
Dynamic models for production control and scheduling.
(IEEECidade do México, 2013)
Agility may be an important competitive advantage in many markets. In order to achieve it, the dynamics of the manufacturing systems must be considered. Control theory supports the development of dynamic models for production ...
Dynamic Scheduling in Multiproduct Batch Plants
(Pergamon-Elsevier Science Ltd., 2003-09)
This work introduces a novel MILP formulation for reactive scheduling of multiproduct batch plants to optimally generate updated schedules due to the occurrence of unforeseen events. It can also be used to improve a ...
Dynamic Optimization for Airline Maintenance Operations
(INFORMS, 2020)
The occurrence of unexpected aircraft maintenance tasks can produce expensive changes in an airline's operation. When it comes to critical tasks, it might even cancel programmed flights. Despite this, the challenge of ...
Dynamic Scheduling based on Particle Swarm Optimization for Cloud-based Scientific Experiments
(Centro Latinoamericano de Estudios en Informática, 2014)
Analysis of ensemble models in the medium term hydropower scheduling
(2012-12-11)
The medium term hydropower scheduling (MTHS) problem involves an attempt to determine, for each time stage of the planning period, the amount of generation at each hydro plant which will maximize the expected future benefits ...