We propose a hybrid procedure based on Bounded Dynamic Programming assisted by linear programming to solve the Mixed-Model Sequencing Problem with Workload Minimization, with serial workstations, free interruption of the operations and with production mix restrictions. We performed a computational experiment with 7 instances from a case study related to the Nissan Powertrain plant located in Ba...

When the decisions are analytically supported they cannot be challenged and at same time, quality of decision increases. This paper is about proposing such a model which provides analytical support to for selection footwear articles produced. aimed suggest decision-making deciding number pairs different produced in way that cost profit could minimized maximized respectively. research was conduc...

Hypothesis tests have been used in the past as a tool in a cryptanalytic context. In this paper, we propose to use this paradigm and define a precise and sound statistical framework in order to optimally mix information on independent attacked subkey bits obtained from any kind of statistical cryptanalysis. In the context of linear cryptanalysis, we prove that the best mixing paradigm consists ...

We propose a procedure to handle the problem of Gaussian regression when the variance is unknown. We mix least-squares estimators from various models according to a procedure inspired by that of Leung and Barron [17]. We show that in some cases the resulting estimator is a simple shrinkage estimator. We then apply this procedure in various statistical settings such as linear regression or adapt...

We define a new type of mix network that offers a reduced form of robustness: the mixnet can prove that every message it outputs corresponds to an input submitted by a player without revealing which input (for honest players). We call mixnets with this property reputable mixnets. Reputable mixnets are not fully robust, because they offer no guarantee that distinct outputs correspond to distinct...

We apply blind source separation techniques from statistical signal processing to separate the traffic in a mix network into either individual flows or groups of flows. This separation requires no a priori information about the individual flows. As a result, unlinkability can be compromised without ever observing individual flows. Our experiments show that this attack is effective and scalable....

We introduce a new payment architecture that limits the power of an attacker while providing the honest user with privacy. Our proposed method defends against all known attacks on the bank, implements revocable privacy, and results in an efficient scheme which is well-suited for smartcard-based payment schemes over the Internet.

Two experiments were completed to determine the effects of diet mix uniformity and ractopamine HCl on finishing pig performance. In Exp. 1, a total of 200 pigs (BW = 90 kg) were used in a 33-d growth assay arranged in a randomized complete block design with 5 pigs/pen and 8 pens/treatment. Treatments were a corn-soybean meal-based control diet mixed for 360 s or the mixed control diet with 10 m...