50 PCB007 MAGAZINE I MARCH 2019
This custom software example was for the
custom software that connected many vacu-
um multilayer hot and cold presses to the ar-
ticulating robot that loaded and moved the
heavy caul-plate sandwiches from press-to-
press and to and from automatic conveyors;
all of these actions were controlled by the
part-number recipe. While also controlling
the pressures, platen temperatures, and vac
-
uum, the robots would disassemble the fin-
ished multilayers and send the caul plates off
to be cleaned (Figure 13). The software took
three new programmers approximately eights
months to plan, code, test, install, train, and
document.
Variations on this custom coding process
are many, but the outcome is still the same—
a working software program that executes the
user's intentions. As time goes by, more soft-
ware for smart factories will emerge.
PCB007
References
1. Germany Trade & Invest (GTAI), "Industrie 4.0: Smart
Manufacturing for the Future," July 2014.
2. Hermann, M., Pentek, T., & Otto, Boris. "Design Prin-
ciples for Industrie 4.0 Scenarios: A Literature Review,"
January 2015.
3. Zaouini, M. "Nine Challenges of Industry 4.0," IIoT
World.
4. GL Communications Inc. Message Automation &
Protocol Simulation (MAPS™).
5.
Hewlett-Packard Journal, Volume 41, Number 4,
August 1990.
6. SEMI website.
7.
Hewlett-Packard Journal, Volume 36, Number 7, July
1985.
8. OML Community. "What is the Compelling Event That
Led to the Establishment of OML?"
9. Ford, M., & Bailey, D. "Open Manufacturing Language
(OML): An Internet of Manufacturing Solution for PCB As-
sembly." Mentor Graphics, 2016.
10. IPC Connected Factory Exchange (CFX) website.
Figure 12: HIPO documents.
Figure 13: Software blog diagram of custom software for recipe-driven
control of robotic lamination and material handling.
