Open Access. Powered by Scholars. Published by Universities.®

Operations Research, Systems Engineering and Industrial Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 2 of 2

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Randomly Generating Manufacturing Flow Line Models Using Mathematica, Paul Savory Jul 2008

Randomly Generating Manufacturing Flow Line Models Using Mathematica, Paul Savory

Industrial and Management Systems Engineering Faculty Publications

To test heuristic algorithms and techniques, researchers need numerous datasets so as to measure effectiveness and improve approaches. This paper discusses using Mathematica, a mathematical programming language, for randomly generating the specifications for manufacturing flow line models. Important issues include determining an arrival rate to a flow line, the number of flow line stations, the number of parallel servers for each production station, and specifying the service time distributions and their associated parameters. The paper concludes with a discussion on generating more general types of simulation models.


From Automatic Identification And Data Capture (Aidc) To “Smart Business Process”: Preparing For A Pilot Integrating Rfid, S. F. Wamba, E. Lefebvre, Y. Bendavid, L.. A. Lefebvre Jan 2008

From Automatic Identification And Data Capture (Aidc) To “Smart Business Process”: Preparing For A Pilot Integrating Rfid, S. F. Wamba, E. Lefebvre, Y. Bendavid, L.. A. Lefebvre

Faculty of Informatics - Papers (Archive)

This paper examines the underlying logic behind the rules configured in a RFID middleware to support “smart business processes” in one retail supply chain. Through a detailed investigation of the underlying business processes, we will demonstrate how businesses rules can be defined, configured and refined in a RFID middleware. The results confirm that RFID technology is not a “Plug and Play” solution. RFID middleware configuration will require a high level of customization. Finally, this study allows the improvement of our understanding of the real potential of RFID technology in the supply chain context.