This paper initially discusses the state-of-the-art and the current limitations in the modeling, scheduling and control of flexible automation. To model flexible automation, it is argued that the simulation tools must provide enhanced capabilities to consider both controller interactions and the flow of resources that support production. It is also demonstrated that scheduling and control must ...

this paper deals with the problem of forbidden states in discrete event systems modeled by petri net. to avoid the forbidden states, some constraints which are called generalized mutual exclusion constraints can be assigned to them. enforcing these constraints on the system can be performed using control places. however, when the number of these constraints is large, a large number of control p...

This paper proposes an optimal solution to large-scale Flexible Manufacturing System (FMS) scheduling problems under availability constraints based on Timed Petri Nets (TPNs). First a decomposition method of TPNs is proposed, then a mathematical model is derived based on their properties. The mathematical model is built to determine the optimal firing sequence of TPN transitions to minimize the...

The unprecedented challenges such as massive customizations and unstable demands require the manufacturing systems to be more flexible in responding marketplace changes and the system disturbances. In flexible manufacturing system, tool allocation strategy which involves tool planning in the system and scheduling of parts and tools can strongly affect the system efficiency. Considering the basi...

Flexible manufacturing systems (FMSs) are advanced and highly integrated manufacturing systems consisting of robots, machining cells, and automated guided vehicles (AGVs) that function under the hierarchical control of computers. The relations between its components are very complex. Scheduling in FMS is an intricate phenomenon owing to the large variability in the operating parameters. Schedul...

A method for robustness optimization of flexible manufacturing systems is presented which undergo forecasted product plan variations. A configuration of an FMS is modeled by a colored Petri net and the associated transition firing sequence. The robustness optimization of the colored Petri net model is formulated as a multi-objective optimization problem which minimizes production costs under mu...

Scheduling plays a vital role in ensuring the effectiveness of the production control of a flexible manufacturing system (FMS). The scheduling problem in advance manufacturing system such as flexible manufacturing system (FMS) is considered as dynamic as new orders may arrive intermittently day-to-day. The newly arrived orders need to be desegregated with the existing production schedule immedi...

One of the most important problems in production planning of flexible manufacturing system (FMS) is machine tool selection and operation allocation problem that directly influences the production costs and times .In this paper minimizing machining cost, set-up cost and material handling cost as a multi-objective problem in flexible manufacturing systems environment are considered. We present a ...

The objective of this study is to develop a neural network based decision support system for selection of appropriate dispatching rules for a real-time manufacturing system, in order to obtain the desired performance measures given by a user, at different scheduling periods. A simulation experiment is integrated with a neural network to obtain the multi-objective scheduler, where simulation is ...

This paper describes a simulation-based intelligent decision support system (IDSS) for real time control of a flexible manufacturing system (FMS) with machine and tool flexibility. The manufacturing processes involved in FMS are complicated since each operation may be done by several machining centers. The system design approach is built around the theory of dynamic supervisory control based on...