We live in a world characterized by massive information transfer and real-time communication. The demand for efficient yet low-complexity algorithms is widespread across different fields, including machine learning, signal processing and communications. Most of the problems that we encounter across these disciplines involves a large number of modules interacting with each other. It is therefore...

A pooling space is defined to be a ranked partially ordered set with atomic intervals. We show how to construct non-adaptive pooling designs from a pooling space. Our pooling designs are e-error detecting for some e; moreover e can be chosen to be very large compared with the maximal number of defective items. Eight new classes of nonadaptive pooling designs are given, which are related to the ...

The multi-item inventory optimization problem with supplier selection is considered to be among the most interesting problems in Operations Research. Constraints such as limited capacity and defective items render the problem a demanding challenge for most solvers. Metaheuristic algorithms have been considered as promising approaches for tackling problems of this type. The present work investig...

Uncertainties in production and assembly processes have a significant influence on performance. When one speaks about uncertainties, in most of the cases it implies machine breakdowns, defective items or different uncertainties in procurement. However, especially in manual production, each realistic model should also take into account and treat human related uncertainties. Unfortunately, in con...

Compared with a group of age matched controls, patients with Parkinson's disease scored significantly lower in testing for ideomotor apraxia. Imitation of movement sequences was affected more severely than performance of single movements. The degree of impairment was not related to severity of motor disability, but correlated strongly with the results of tests that measured visuospatial and vis...

This paper investigates the interaction between the economics of production and imperfections in the production process. SpeciÞcally, this paper is the Þrst to devise a model in an attempt to provide managers with guidelines to choose the appropriate production run times to buffer against both the production of defective items and stoppages occurring due to machine breakdowns. In addition to pr...

Compared with a group of age matched controls, patients with Parkinson's disease scored significantly lower in testing for ideomotor apraxia. Imitation of movement sequences was affected more severely than performance of single movements. The degree of impairment was not related to severity of motor disability, but correlated strongly with the results of tests that measured visuospatial and vis...

This paper presents an economic manufacturing quantity model which determines an optimal production run length and inspection schedules simultaneously in a deteriorating production process. It is assumed that a production process is subject to a random deterioration from the in-control state to the out-of-control state and, thus, produces some proportion of defective items. An optimal productio...

The ordinary variable inspection plans rely on the normality of the underlying populations. However, often this assumption is vague or even not satisfied. A new variable inspection plan is constructed that can be applied for continuous distributions with medium to long tails and that requires relatively moderate sample sizes only. The main idea is that nonconforming items occur in the tails of ...