Heavy metals are widely used in textile industries and significant losses occur during the manufacture and processing of textiles, and these lost heavy metals are discharged in the effluent. Adsorption of heavy metals is a new technology for treatment of wastewater containing different types of selected heavy metals. In this study, adsorbents Carbonized Rice Husk (CRH) and Activated Rice Husk (...

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 impleme...

We study a class of scheduling problems with batch setups for the online-list and online-time paradigms. Jobs are to be scheduled in batches for processing. All jobs in a batch start and complete together, and a constant setup is prior to each batch. The objective is to minimize the total completion time of all jobs. We primarily consider the special cases of these problems with identical proce...

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 (...

A short review of batch reactor theory and practice is the subject of this paper. Based on unsteady state mass and energy balances, the mathematical set of equations describing the time-dependent behaviour of a batch or semibatch reactor is reported. The attention is focused on some examples of batch reactor experiences (experimental studies, scale-up techniques, industrial operation and optimi...

Batch-to-batch iterative learning control of a fed-batch fermentation process using batchwise linearised models identified from process operation data is presented in this paper. Due to model-plant mismatches and the present of unknown disturbances, off-line calculated control policy may not be optimal when implemented to the real process. The repetitive nature of batch process allows informati...

Batch processes, such as fermenters, generally require high levels of consistency in their operation to ensure minimal losses of raw materials and product. Recent application studies have indicated that multivariate statistical technology can provide some support when trying to maintain consistent operation in complex batch processes. This paper aims to compare four different approaches to batc...

In this paper, we consider the scheduling problem of minimizing total weighted completion time on uniform machines with unbounded batch. Each of the machine Ml (l = 1, ⋅ ⋅ ⋅ ,m) has a speed sl and can process up to B(≥ n) jobs simultaneously as a batch. The processing time of a batch denoted by P(B) is given by the processing time of the longest job in it, and the running time of the batch on m...

This paper describes the application of batch trajectory alignment, outlier detection, and multiblock multiway principal component analysis (MPCA) to data from an industrial active pharmaceutical ingredient manufacturing process. The process data routinely collected from historical batches, including temperatures, pressures, and controller outputs, has been used to improve process operation and...

While sophisticated systems for both process control and production planning enjoy a wide industrial acceptance, tools for batch process scheduling represent a serious gap in the fully automated batch plant. Despite over fifteen years of academic research in batch scheduling algorithms and Moore’s law increases in computing power, spreadsheets and calculators remain the state-of-the-art means f...