An Evolutionary Algorithm (EA) strategy for the optimization of generic Work-In-Process (WIP) scheduling fuzzy controllers is presented. The EA is used to tune a set of fuzzy control modules which are used for distributed and supervisory WIP scheduling. The distributed controllers objective is to control the rate in each production stage so that satisfies the demand for final products while red...

Many scheduling algorithms have been proposed to ensure the time constraints of real-time processes. Scheduling decision of these algorithms is usually based on various timing properties such as execution time, deadline which are assumed to be crisp. Traditional real-time scheduling algorithms often consider that these properties of the tasks are completely known a priori. This, however, is usu...

Electric utilities face many uncertainties in their daily scheduling and inter-utility transaction operations. The effects of these uncertainties can propagate through the time horizon, significantly affecting the economics of schedules and transactions. With deregulation in the utility industry and increasing competition in the electricity market, these uncertainties should be properly managed...

The gain-scheduling approach is perhaps one of the most popular nonlinear control design approaches which has been widely and successfully applied in fields ranging from aerospace to process control. Despite the wide application of gain-scheduling controllers and a diverse academic literature relating to gain-scheduling extending back nearly thirty years, there is a notable lack of a formal rev...

Workflow scheduling plays a vital role in advanced manufacturing, and it deserves research efforts to warrant further improvement. This paper proposes an intelligent workflow scheduling system (iWFSS) to integrate information, processes, and knowledge into a unified framework that provides a total solution to online scheduling. The iWFSS consists of an information system, a workflow system, and...

Handling uncertainty in an appropriate manner during the real operation of a cyber-physical system (CPS) is critical. Uncertain production scheduling as a part of CPS uncertainty issues should attract more attention. In this paper, a Mixed Integer Nonlinear Programming (MINLP) uncertain model for batch process is formulated based on a unit-specific event-based continuous-time modeling method. U...

We have already introduced many fuzzy concepts to scheduling problem and discussed so called fuzzy scheduling problems. In this paper, we introduce fuzzy allowable time concept newly to two identical machine problem, which is a fuzzy version of M. R. Garey and D. S. Johnson. That is, there are two identical machines and fuzzy ready times and deadlines are associated to each job, i.e., membershi...