The goal of this laboratory is to develop a fundamental math-based
design and manufacturing tools based on integration of the
CAD/CAM and statistical analysis of data to evaluate life-cycle
performance of the manufacturing enterprise systems (MES). The
laboratory explore and develop analysis and synthesis simulation
methods for product life-cycle management (PLM), i.e., design
(conceptual and detailed), manufacturing, as well as product
field life (quality and service engineering). The objective is
to improve PLM by integrating information from design,
manufacturing and product field.
It brings together research on manufacturing system CAD/CAM models,
statistical methods for design, control, and diagnostics of
multistage manufacturing processes, analysis of warranty and
service data. In doing so we aim to address the following areas:
(1)Modeling:
Product and production system decomposition and analysis
using the concepts of product/process key characteristics, their
relationship and causalities;
(2)Design:Application
of the developed models towards: (i) manufacturing system
design evaluation and optimization/synthesis in early design
phases; and (ii) distributed sensing system/network
optimization. Information and models developed are further
applied to study reusable/reconfigurable multistage
manufacturing systems convertibility, scalability
and diagnosability.
(3)Manufacturing: Application
of the developed models towards: (i) root cause diagnosis of
manufacturing variability by integrating models of data sets
with efficient CAD/CAM models of manufacturing systems instead
of identifying model(s) of data set alone as in the traditional
Statistical Process Control (SPC); and, ( ii) manufacturing
system diagnosability
(4)Field Life: The objective of the
research is to develop and implement a generic Data-drivenDesign-Service Lifecycle methodology for analysis,
diagnosis and control of product field performance by
integrating field data (service and warranty) with
manufacturing measurements and design information. Such
integration will address the following needs: (1) Service:
Methodology for monitoring, diagnosis and prediction of product
field failures based on in-situ event measurements; (2)
Warranty: Methodology for diagnosis and control of warranty
based on manufacturing and field information; and (3)
Feedback-to-Design: Model developed in (1) & (2) identifies
interactions which cause the failure which will be used as
feedback-to-design to improve product robustness.
Professor Yu Ding of Texas A&M University of United States Visited DPLM Lab at The Digital Laboratory, University of Warwick, UK, September 23-29 2008.(PDF file of the presentation)
Nagesh Shukla, Ph.D. Student of D-PLM Lab at University of Warwick attended London Diplomatic Science Club networking event on 11th December 2007.
Prakash, Ph.D. Student and Prof. Ceglarek presented their paper at INFORMS Annual Meeting in Seattle, Washington, US, November 3-7, 2007.
Oak Phoomboplab, Ph.D. Student and Prof. Ceglarek presented their paper at 2nd ASME International conference on Manufacturing Science and Engineering, Atlanta, GA, US, October 15-17, 2007.
Oak Phoomboplab, Ph.D. Student and Prof. Ceglarek presented their paper at Annals of CIRP in Dresden, Germany, August 19-27, 2007.
Prakash, Ph.D. Student and Prof. Ceglarek presented paper at International Conferance on Changeable, Agile, Reconfigurable, And Virtual Production (CARV 2007) in Toronto, Canada, July 22-24, 2007
Prakash, Ph.D.
Student and Prof. Ceglarek presented their paper at 40th CIRP International
Seminar on Manufacturing Systems in Liverpool, UK, May 30,
2007.
Mr. Gordon
Brown, UK Prime minister-in-waiting discusses research plans
with Prof. Bhattacharyya, Prof. Ceglarek, Prakash and Oak
Phoomboplab during his visit to Warwick Manufacturing Group
on 20 May 2007.
Prof.
Ceglarek elected fellow of CIRP
Prof. Ceglarek
was invited to attend the WTEC Advanced Manufacturing
Research and Technology Workshop sponsored by the National
Science Foundation on June 6, 2006
UW
- Madison
College of Engineering
