Session: DFMLC-04-04: Design for Large and Distributed Systems and Life Cycle

Paper Number: 142964

142964 - Trade-Off Analysis for Time and Power Requirements in an Additive Manufacturing-Disrupted Manufacturing Cell 

The introduction of Additive Manufacturing (AM) into modern production environments has provided new capabilities; however, these capabilities have disrupted manufacturing cells. The disruption of manufacturing through the addition of AM processes provides an opportunity to model a manufacturing cell, quantify the cells performance with respect to primary concerns, disrupt the cell, and lastly provide a qualitative analysis of the trade space between primary concerns. Using a previously defined method, a part will be created, a process generated and a resultant manufacturing cell defined.  The resultant cell will be analyzed with respect to parameters of power and time.  Given that manufacturing cell and its associated and existing framework, the cell will then be disrupted with the addition of additive manufacturing replacing and existing cell step and be re-evaluated.  In addition, research will be performed to better understand the manufacturing environment and a qualitative analysis will be used to make production level decisions that better optimize the system.   Through the use of the qualitative analysis, the manufacturing cell will be analyzed and further optimized based on the weight of primary optimization parameters of power and time.  The resultant analysis will be defined and a test case and will be provided as an example of the use of this research. 

Presenting Author: Chad Jones Johns Hopkins Whiting School of Engineering

Presenting Author Biography: Chad Jones has spent the last 10 years in the defense industry and manufacturing sectors and is a recent graduate of the masters of systems engineering program for professionals at Johns Hopkins Whiting School of Engineering. This work is the first major publication and speaking engagement for Chad as he navigates the professional and academic workplaces.

Authors:

Chad Jones Johns Hopkins Whiting School of Engineering
Matthew Montoya Johns Hopkins Whiting School of Engineering
Larry Strawser Johns Hopkins Whiting School of Engineering
Albert Patterson Texas A&M University