Set-up reduction is a key requirement nowadays for many lean implementations. Current set-up reduction methodologies, most of them based on Shingo’s SMED, focus merely on simple one machine-one person situations, where as many value streams contain long multi-stage machine lines (e.g., in food industry) or multi-machine cells (e.g., in metal industry). In these situations, using SMED is not eno...

Breast cancer subtype classification is a multi-class problem that can be handled using computational methods. Three main challenges need to addressed. Consider first the high dimensionality of available datasets relative extremely small number instances. Second, integration different levels data makes even more challenging. The third challenging issue ability explain predictions provided by ma...

in this study, a new stochastic model is proposed to deal with a multi-product, multi-period, multi-stage, multi-site production and transportation supply chain planning problem under demand uncertainty. a two-stage stochastic linear programming approach is used to maximize the expected profit. decisions such as the production amount, the inventory level of finished and semi-finished product, t...

We consider the following sparse signal recovery (or feature selection) problem: given a design matrix X ∈ Rn×m (m À n) and a noisy observation vector y ∈ R satisfying y = Xβ∗ + 2 where 2 is the noise vector following a Gaussian distribution N(0, σI), how to recover the signal (or parameter vector) β∗ when the signal is sparse? The Dantzig selector has been proposed for sparse signal recovery w...

The spread of ideas across a social network can be studied using complex contagion models, in which agents are activated by contact with multiple activated neighbors. The investigation of complex contagions can provide crucial insights into social influence and behavior-adoption cascades on networks. In this paper, we introduce a model of a multi-stage complex contagion on networks. Agents at d...

Multi-view learning deals with data that is described through multiple representations, or views. While various real-world can be represented by three more views, several existing multi-view classification methods only handle two Previously proposed usually solve this issue optimizing pairwise combinations of Although numerically deal the it ignores higher order correlations which examined expl...