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A {0,1} linear program is proposed for scheduling fixed-profile requests to load a dynamical system. The problem involves organizing requested load across time, without modifying the load profile of individual requests, while satisfying constraints on the transient response of the system to change in the load. A time representation of the load is developed and delivery delays, being the differences...
Based on analyzing the past research on vehicle scheduling in transit scheduling, a new optimization model to minimize the total vehicle operation cost is proposed. This optimization model is a nonlinear integer programming and can be solved rapidly with the global solver in LINGO, as long as the appropriate value of fleet size. It is the advantage of the optimization model and solution methodology...
According to multiproduct/multipurpose batch and continuous processes scheduling an overview of developments in the chemical processes scheduling is presented. Two scheduling methodologies based on time representation are introduced: one is discrete-time approaches the other is various continuous-time approaches, and the strengths and limitations of these approaches are examined. Also, important characteristics...
A stochastic chance constrained mixed-integer nonlinear programming (SCC-MINLP) model is developed in this paper to solve the integrated problem of refinery short term crude oil scheduling, blending and storage management under demands uncertainty of crude oil distillation units (CDUs). It is the first time that the uncertain CDUs' demands in this problem are set as random variables which have discrete...
In this paper, we propose a novel myopic sensor scheduling methodology for tracking a target moving through a network of energy-constrained acoustic sensors. Specifically, we address the problem of activating the minimum-energy combination of sensors in a network that maintains a desired squared-error accuracy in the target's position estimate. We first formulate the scheduling problem as a binary...
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