This paper focuses on production scheduling in a semiconductor wafer fab producing multiple product types that have different due dates and different process flows. In the wafer fab, wafer lots are processed on serial and batch processing workstations, each of which consists of parallel identical machines. Machines in serial processing workstations process wafer lots one by one, while those in ...

YeastCandida bombicola is known to produce sophorolipids from a variety of saccharic and lipidic feed-stocks. In the current study, the influence f fatty acid carbon chain length, unsaturation, source of low-cost industrial lipid feed-stocks, and nickel content in lipid feed-stocks on sophorolipid roduction by C. bombicola were investigated. Saturated and monounsaturated C18 fatty acid gave the...

Based on the proportional-integral (PI) closed-loop control widely used in industrial engineering practice, a robust iterative learning control (ILC) method is proposed for industrial batch processes subject to time-varying uncertainties and load disturbance. An important merit is that the proposed ILC design is independent of the PI tuning which maintains the closed-loop system stability, owin...

A batch machine is a machine that can process up to c jobs simultaneously as a batch, and the processing time of the batch is equal to the longest processing time of the jobs assigned to it. In this paper, we deal with the complexity of scheduling an unbounded batch machine, i.e., c = +∞. We prove that minimizing total tardiness is binary NP-hard, which has been an open problem in the literatur...

Clinoptilolite was investigated for the removal of Cu(II) ions from industrial leachate. Adaptive neural fuzzy interface system (ANFIS) was used for modeling the batch experimental system and predicting the optimal input values, that is, initial pH, adsorbent dosage, and contact time. Experiments were studied under laboratory batch and fixed bed conditions. The outcomes of suggested ANFIS model...

We present the Distributed Batch Controller (DBC), a system built to support batch processing of large scientiic datasets. The DBC implements a federation of autonomous workstation pools, which may be widely-distributed. Individual batch jobs are executed using idle workstations in these pools. Input data are staged to the pool before processing begins. We describe the architecture and implemen...

We present the Distributed Batch Controller DBC a system built to support batch processing of large scienti c datasets The DBC implements a federation of autonomous workstation pools which may be widely distributed Individual batch jobs are executed using idle workstations in these pools Input data are staged to the pool before processing begins We describe the architecture and implementation o...

BACKGROUND Heterologous production of natural products in Escherichia coli has emerged as an attractive strategy to obtain molecules of interest. Although technically feasible most of them are still constrained to laboratory scale production. Therefore, it is necessary to develop reasonable scale-up strategies for bioprocesses aiming at the overproduction of targeted natural products under indu...

Summingbird is an open-source domain-specific language implemented in Scala and designed to integrate online and batch MapReduce computations in a single framework. Summingbird programs are written using dataflow abstractions such as sources, sinks, and stores, and can run on different execution platforms: Hadoop for batch processing (via Scalding/Cascading) and Storm for online processing. Dif...

We consider a batch scheduling problem in which the processing time of a batch of jobs equals the maximum of the processing times of all jobs in the batch. This is the case, for example, for burn-in operations in semiconductor manufacturing, and other testing operations. Processing times are assumed to be random, and we consider minimizing the makespan and the flowtime. The problem is much more...