Uncertainty is a very important concern in production scheduling since it can cause infeasibilities and production disturbances. Thus scheduling nder uncertainty has received a lot of attention in the open literature in recent years from chemical engineering and operations research communities. he purpose of this paper is to review the main methodologies that have been developed to address the ...

A production planning problem, known as the Discrete Lot sizing and S cheduling P roblem with seq uence-dependent changeov er costs, is considered. W e propose a new way of modelling the production sy stem based on the use of a multi attribute product structure encountered in many industrial situations. T he basic idea is to describe the products as combinations of phy sical attributes and to e...

This paper presents the Unanimous Improvement Ratio (UIR), a measure that allows to compare systems using two evaluation metrics without dependencies on relative metric weights. For clustering tasks, this kind of measure becomes necessary given the trade-off between precision and recall oriented metrics (e.g. Purity and Inverse Purity) which usually depends on a clustering threshold parameter s...

In the area of Computer Science, Parallel job scheduling is an important field of research. Finding a best suitable processor on the high performance or cluster computing for user submitted jobs plays an important role in measuring system performance. A new scheduling technique called communication aware scheduling is devised and is capable of handling serial jobs, parallel jobs, mixed jobs and...

Proper and realistic scheduling is an important factor of success for every project. In reality, project scheduling often involves several objectives that must be realized simultaneously, and faces numerous uncertainties that may undermine the integrity of the devised schedule. Thus, the manner of dealing with such uncertainties is of particular importance for effective planning. A realistic sc...

Wireless sensor networks have been attracting significant research and commercial interest recently. In many sensor network applications, such as real-time surveillance and monitoring, the sensed data need to be delivered with some real-time constraints, such as an end-to-end deadlines. Since the data dissemination model is different from the tranditional wireless ad hoc networks or any central...

Most of the image watermarking methods, using the properties of the human visual system (HVS), have been proposed in literature. The component of the visual threshold is usually related to either the spatial contrast sensitivity function (CSF) or the visual masking. Especially on the contrast masking, most methods have not mention to the effect near to the edge region. Since the HVS is sensitiv...

The proposed RAITIIFNNC system is comprised of a interval type II fuzzy neural network identifier and a robust controller. The identifier is utilized for online estimation of the compound uncertainties. The robust controller is used to attenuate the effects of the approximation error so that the perfect tracking and synchronization of chaotic systems are achieved. All the parameter learning alg...

A novel operational policy, the Process Intermediate Storage operational policy, is introduced and used to synthesize, schedule and design multipurpose batch plants. The model is based on the State Sequence Network and non-uniform discretization of the time horizon of interest model developed by Majozi and Zhu [Majozi, T., Zhu, X. (2001). A novel continuous-time MILP formulation for multipurpos...