Scheduling is a key factor for manufacturing productivity. Effective scheduling can improve on-time delivery, reduce work-in-process inventory, cut lead time, and improve machine utilization. Motivated by the extensive use of batch machines in manufacturing industries, the scheduling of job shops with batch machines is studied in this paper. Unlike machines that can process one part at a time (...

INTRODUCTION Note taking while attending a PPT requires high activity of memory and writing process which ultimately leads to what is called "death by power point" referring to boredom and fatigue.  To overcome this we planned to evaluate the impact of utilisation of uncompleted handouts given prior to PPT presentations. METHODS Final year MBBS students were divided in 2 batches, batch A and ...

A new concept referred to as the batch roundness is presented in this paper. This concept is derived to illustrate the worst possible form error for a batch of circular features machined under the same conditions. It is to be used as a statistical quality measure for such a batch of circular features and evaluated by analyzing their systematic and random form error components. The definition of...

−Adaptive iterative learning control based on the measured input-output data is proposed to solve the traditional iterative learning control problem in the batch process. It produces a control law with self-tuning capability by combining a batch-to-batch model estimation procedure with the control design technique. To build the unknown batch operation system, the finite impulse response (FIR) m...

This paper shows, assuming standard heuristics regarding the number-field sieve, that a “batch NFS” circuit of area L factors L separate B-bit RSA keys in time L. Here L = exp((log 2)(log log 2)). The circuit’s area-time product (priceperformance ratio) is just L per key. For comparison, the best area-time product known for a single key is L. This paper also introduces new “early-abort” heurist...

Due to slow time variation, variable run length and nonlinearity of sequencing batch reactor (SBR) wastewater treatment batch process, a multivariate statistical MPCA model based on double moving window along the time×variable axis and batch-axis is used for online monitoring the progress of sequencing batch reactor. Moving window MPCA along the time×variable axis can copy seamlessly with varia...

Batch Normalization is quite effective at accelerating and improving the training of deep models. However, its effectiveness diminishes when the training minibatches are small, or do not consist of independent samples. We hypothesize that this is due to the dependence of model layer inputs on all the examples in the minibatch, and different activations being produced between training and infere...

The paper presents an approach to improve the product quality from batch-to-batch by exploiting the repetitive nature of batch processes to update the operating trajectories using process knowledge obtained from previous runs. The data based methodology is focused on using the linear time varying (LTV) perturbation model in an iterative learning control (ILC) framework to provide a convergent b...

We study the problem of minimizing makespan for part machining on a multi-spindle heads machine with a mobile table. We show that this problem can be formulated as a scheduling problem for a single batch machine with compatibility and precedence constraints between jobs. Jobs grouped in a batch are processed simultaneously, but the difference from considered in the literature max-batch machine ...