Data-Driven Analysis of Batch Processing Inefficiencies in Business Processes

Data-driven Based Integrated Learning Controller Design for Batch Processes

The challenge of optimization control of batch processes is how to combine both discrete-time (batch-axis) information and continuous-time (time-axis) information into an integrated frame when designing optimal controller. By using data-driven technology, a novel integrated learning control system is proposed in this paper. Firstly, an iterative learning controller (ILC) is designed along the d...

Data - Driven Batch Scheduling

langauge needs analysis of undergraduate business management and economics students

the aim of conducting this study was to investigate the foreign language learning needs of undergraduate economics students and business management students in faculties of social sciences of alzahra and azad naragh university. in the study, which was designed on the basis of a qualitative-quantitative basis using interviews and questionnaires, 146 female undergraduate business management as we...

Enabling Batch Processing in BPMN Processes

Business process automation improves organizations’ efficiency to perform work. Single executions of process models, called process instances, are usually executed independently in business process management systems (BPMS). In practice, we can observe examples in which a synchronized execution of groups of instances for certain activities, called batch processing, can lead to an improved perfo...

An Approach to Optimize Data Processing in Business Processes

In this paper, they have proposed a framework for the optimization of data processing in business processes in order to optimize business process revenues and profits. A multi-stage control strategy is suggested for this optimization task. A rule based optimization of business processes is introduced using rewrite rules and a control strategy to transform the business process into a more effici...