Modeling production rules by means of predicate transition networks
Information Sciences: an International Journal
A Predicate-Transition Net Model for Parallel Interpretation of Logic Programs
IEEE Transactions on Software Engineering
Proof Procedure and Answer Extraction in Petri Net Model of Logic Programs
IEEE Transactions on Software Engineering
Higher-order Petri net models based on artificial neural networks
Artificial Intelligence
A TCPN based approach to model the coordination in virtual manufacturing organizations
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
A real option theoretic fuzzy evaluation model for enterprise resource planning investment
Journal of Engineering and Technology Management
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
While fierce competition impels many of the commercial markets into a low-profit environment, virtual enterprise (VE) appears as a business strategy for small and medium-sized enterprises (SMEs) to alley together. However, to support the operations of a VE, a resource planning system (RPS) is required. In this study, a systematic and hierarchical approach which consists of top-down modeling and bottom-up implementation steps is proposed and used for developing the RPS. Following this approach, a Predicate/Transition (Pr/Tr) net model for resource planning is derived. In addition, activity-based costing (ABC) is applied to provide a financial measure, profit, which is believed to be more meaningful in a collaborative environment. The Pr/Tr net model is further transformed into Horn clauses, and implemented by a logical programming language, Visual Prolog. Finally, a RPS which contains graphical user interface, model and knowledge database is developed. In the RPS, the goals and dispatching rules can be easily included and evaluated. In addition, the schedules based on the best dispatching rule can be generated. An example of horizontal collaborative manufacturing is used to illustrate the application of the RPS and the generation of the schedules.