Enterprise scheduling: hybrid and hierarchical issues

Authors:
John Pastrana;Magdy Helal;Mario Marin;Carlos Mendizabal
Affiliations:
University of Central Florida, Orlando, FL;Benha University, Egypt;University of Central Florida, Orlando, FL;Universidad Technologica de Panama, Panama City, Panama
Venue:
Proceedings of the Winter Simulation Conference
Year:
2010

Citing 8
Cited 0

Modeling managerial behavior: misperceptions of feedback in a dynamic decision making experiment

Management Science
Simulation of Manufacturing Systems

Simulation of Manufacturing Systems
Business Dynamics

Business Dynamics
Introduction to Simulation Using SIMAN

Introduction to Simulation Using SIMAN
Simulation Modeling and Analysis

Simulation Modeling and Analysis
Supply chain simulation with discrete-continuous combined modeling

Computers and Industrial Engineering - Supply chain management
Supply chain and distribution network: semiconductor supply network simulation

Proceedings of the 35th conference on Winter simulation: driving innovation
Simulation as one of the core technologies for digital enterprises: assessment of hybrid rescheduling methods

International Journal of Computer Integrated Manufacturing - Digital Enterprise Technology: Perspectives and Future Challenges

Quantified Score

Hi-index	0.00

Visualization

Abstract

We build a hybrid discrete-continuous simulation model of the manufacturing enterprise system. This model consists of an overall system dynamics model of the manufacturing enterprise and connected to it are a number of discrete event simulations for selected operational and tactical functions. System dynamics modeling best fits the macroscopic nature of activities at the higher management levels while the discrete models best fit the microscopic nature of the operational and tactical levels. An advanced mechanism based on information theory is used for the integration of the different simulation modeling modalities. In addition, the impact of the decisions at the factory level in scheduling are analyzed at the management level. The different models of control are discussed.