On Virtual Development of Manufacturing Systems -Proposal for a Modular Discrete Event Simulation Methodology
Doktorsavhandling, 2006

This thesis formulates one approach on how to reuse and take advantage of knowledge and data for discrete event simulation of manufacturing systems. The approach uses modularity and division of knowledge in order to present a methodology for modular discrete event simulation. The objective of the research building this thesis is to formulate the demands on a methodology for modular discrete event simulation, which is increasing the reuse of data and knowledge-intensive tasks. This in turn enables sharper focus on the value-adding performance improvement, for which a discrete event simulation study can generate a firm basis. In order to meet this objective, research has been conducted in the following steps: • Prerequisite studies in order to find the research gap in case studies and papers • Confirmation of the research gap and its current status in case studies and papers • Management of the research gap by formulation of a methodology in this thesis • Validation of the methodology in four case studies The proposed methodology covers activities for simulation specialists, in terms of module building, simulation users in terms of model building and decision support, and simulation observers, in terms of decision support and visualization. The methodology is based on traditional discrete event simulation methodologies, with additional effort put into division of knowledge-intensive tasks in order to streamline the model building and the reuse of data and knowledge. This is achieved through modularization and parameterization of the building blocks used in discrete event simulation model building with module boundaries similar to those in the real-world manufacturing system. It is concluded that the modular discrete event simulation methodology can provide profitable advantages for OEM suppliers of manufacturing systems and their nearby interactors. Important parts of the methodology have been validated in industrial case studies; however, general benefits for any manufacturing system were not found, only for OEM suppliers of manufacturing equipment and those with direct relations to these kinds of systems.

Discrete Event Simulation

Productivity Development

Knowledge

Manufacturing Systems

10.00 HA2-salen, Hörsalsvägen 4, Chalmers
Opponent: PhD Lars Randell, AMB Industri AB, Sweden

Författare

Björn Johansson

Chalmers, Material- och tillverkningsteknik

Chalmers, Produkt- och produktionsutveckling, Produktionssystem

An Evaluation of Discrete Event Simulation Software for ”Dynamic Rough-Cut Analysis"

CIRP-International Seminar on Manufacturing Systems,; Vol. 35(2002)p. 348-355

Paper i proceeding

Using Autonomous Modular Material Handling Equipment for Manufacturing Flexibility

In Proceedings of the 2004 Winter Simulation Conference,; (2004)p. 1115-1121

Paper i proceeding

Turn Lost Production into Profit. -Discrete Event Simulation Applied on Resetting Performance in Manufacturing Systems

In Proceedings of the 2002 Winter Simulation Conference,; (2002)p. 1065-1072

Paper i proceeding

An Enhanced Methodology for Reducing Time Consumption in Discrete Event Simulation Projects

European Simulation Symposium: Simulation in Industry,; Vol. 13(2001)p. 61-64

Paper i proceeding

Information structure to support Discrete Event Simulation in Manufacturing Systems

In Proceedings of the 2003 Winter Simulation Conference,; (2003)p. 1290-1295

Paper i proceeding

Profitable Intelligent Manufacturing Systems for the Future

International Symposium of Robotics,; Vol. 35(2004)p. 96-

Paper i proceeding

Modular Assembly Systems Simulation for Lead Time Reduction

International Precision Assembly Seminar,; Vol. 2(2004)p. 215-222

Paper i proceeding

Ämneskategorier

Produktionsteknik, arbetsvetenskap och ergonomi

ISBN

91-7291-653-2

Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 2335

10.00 HA2-salen, Hörsalsvägen 4, Chalmers

Opponent: PhD Lars Randell, AMB Industri AB, Sweden