Completed projects

collardsdebonairManagement

Nov 6, 2013 (3 years and 7 months ago)

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Unification of Design, Manufacturing Capability and
Service Knowledge in Collaborative Product
Development

Project

Aim

To

develop

unified

methodologies

and

context

specific

knowledge

management

filters

to

capture,

represent,

and

reuse

manufacturing

engineering

knowledge,

feature
-
based

design

knowledge,

manufacturing

capability

knowledge

and

product

service

knowledge

to

support

product

development

in

a

collaborative

enterprise

context
.


Scope

The

scope

of

the

proposed

research

project

is

the

design

and

manufacture

of

complex

engineered

products

with

high

performance

and

safety

critical

service

requirements
.

The

methodologies

will

be

applied

and

evaluated

for

high
-
added

value

rotational

parts
.


Objectives


Propose

a

process
-
based

knowledge

management

framework

to

support

collaborative

product

development


Develop

unified

methodologies

to

represent

the

feature

based

design

knowledge

which

embraces

design

rules

and

previous

project

and

product

knowledge



Develop

unified

methodologies

to

represent

manufacturing

capability

knowledge,

including

best

manufacturing

methods,

process

capability

and

test

data



Develop

unified

methodologies

to

represent

product

service

knowledge,

including

customer

requirements,

feedback,

and

suggestions,

product

in
-
service

performance

and

failures



Develop

a

‘proof

of

concept’

pilot

system

for

evaluation

with

the

industrial

collaborators

and

disseminate

the

results

of

the

research

to

academics

and

industrialists
.


Investigators
:

Prof James Gao (
j.gao@gre.ac.uk
)


Prof Raj Roy (r.roy@cranfield.ac.uk)


Product

Development

Tasks

….
…...

….
…...

Unified
design
knowledge

Unified
service
knowledge

Unified
manuf.
knowledge

Standard ICT tools

Context specific filters

Proposed Methodology

Concept

design

Manuf
-
acturing

Service

Context
knowledge

Context
knowledge

Context
knowledge

Research Fellow
:

David Baxter


PhD student
:

Sara Mountney

Industrial

Relevance

and

Partners

The

methodologies

developed

will

be

applicable

to

a

range

of

manufacturing

companies,

with

particular

relevance

to

large

companies

operating

in

high

performance

safety

critical

environments
.


The

industrial

partners
:

Rolls
-
Royce

and

BOC

Edwards
.

Distributed & Collaborative Product Development


and Manufacturing Knowledge Management

Principal
Investigator
:

Prof James Gao

J.gao@gre.ac.uk


Researcher
:
Hayder Aziz

STEP ontology developed

Project Aim and Objectives

The aim of this project is to investigate methods for the effective management of the
internet
-
based process of communicating new product requirements and
manufacturing performance evaluations from the critical, early stages of product
development throughout the product life cycle. Main
project objectives are to

(1)
assess state
-
of
-
the
-
art PDM and Internet supporting technologies with respect to
the effective communication of early requirements, workflow control and change
management within a distributed and collaborative product development
environment;

(2)
investigate techniques for translating early design concepts into appropriate,
tentative product configurations that are essential for conceptualizing and
measuring the manufacturing performance;

(3)
enhance the aggregate factory modelling work by including matrix based
capability analysis techniques for capturing and representing manufacturing
knowledge; and

(4)
evaluate the potential industrial benefits by testing the developed methods using
data provided by the collaborating companies and disseminate research results.


Industrial Relevance and Partners

The methodologies developed can be applied to any manufacturing companies
especially those with international operations. The project collaborators are
ArvinMeritor, Maybey & Johnson, LSC Group, PTC, and University of Durham.

Project Achievements


(1) A collaborative product development and knowledge
management methodology (employing peer
-
to
-
peer
methodology);


(2) Implanted STEP standards to represent features
mapped with knowledge based system ontologies;

(3) A pilot environment for managing design knowledge
for rough
-
cut manufacturing planning and integration
with resource planning tools; and

(4) Business workflow developed for ArvinMeritor.

Steel

bridge

model

Automotive door latch model

Facilitation of Knowledge Sharing
in the Product Innovation Process

Project Aim and Objectives


This project aims to facilitate the sharing of innovation
process knowledge in the multi
-
lingual manufacturing
organisation. Main objectives are:


1. Identification, classification and prioritisation of knowledge
in the innovation process

2. Provision of a methodology to construct a multilingual
ontology of relevant innovation process knowledge

3. Construction of an innovation process ontology as an
illustrative case

4. Enabling of the visualisation and dissemination of this
knowledge as a proof of concept


Project Deliverables


1. A methodology to identify, classify and prioritise
innovation process knowledge.

2. A methodology to construct an ontology of the innovation
process knowledge

3. An ontology of innovation process knowledge

4. A set of tools to enable the visualisation and
dissemination of this ontology




Industrial Collaboration and Wider Relevance


The key industrial collaborator is the Vaillant Group, a market leading manufacturer
of domestic heating systems. It is anticipated that the research findings will be more
applicable to multinational manufacturers of electromechanical goods with similarly
detailed descriptions of their product development process.


Process
Task


What knowledge?

From which
processes/tasks?

From whom (role)?

What knowledge?

Used by which
processes/tasks?

To whom (role)?

Input Knowledge

Output Knowledge

Language?

Location?

Language?

Location?

In

Out

Project supervisor:

Prof James Gao

j.gao@gre.ac.uk


Research Student:

Daniel Bradfield


Industry Project Manager:
Mr. John Finegan (Vaillant
Group)

A PDM
-
Integrated Assembly Planning
Environment for Automotive Suppliers Industry

Project Aim


The objective of this work is to provide tools
which address the real requirements of
assembly
-
focused industry

Project Objectives



Domain : component
-
based electromechanical assemblies


Provide process & sequence selection


Support low
-
level concurrent product development


Provide data control methodologies


Provide portable, easy to use applications


Integrate those applications within the CAE environment


Support automation of routine tasks

MAPS
CAAPP System
Motiva DesignGroup
PDM System:
Product Modelling
Data Handling
Document Management
Spatial Technology
BuildingBlox:
Solid Modelling
Feature Extraction
Constraint Extraction
Lassalle Technology
AddFlow:
Structure Modelling
Sequence Rep.
CLIPS
Expert System:
Process Selection
Feature Recognition
Visual Basic:
Integration
Object Modelling
Data
Configuration
Supervisor:


Dr James Gao

j.gao@gre.ac.uk

Industrial Spondors:

Meritor, and British Aerospace


Researcher:

William Bowland

A Manufacturing Evaluation System To Support
Progressive Design Incorporating STEP AP224

Motivation


70
-
80% of product cost is committed during the design
stage.


60
-
80% of new design is based on design re
-
use.


Product must be designed to fit the factory/ process
and not vice versa.


Integrating the process capability knowledge and
design analysis knowledge with the design and
development environment can help improve quality.

Main Outcome


Practical usable system.


Based on sound methodology and
detailed domain research.


Usefulness demonstrated and highly
appreciated by collaborating partners.


Forms important part of a £500,000/
-

project scheduled to go live shortly to
reduce RN spares level using STEP
technology. Projected savings from
reduction in stock levels is £2,000,000.


Spin
-
offs….Automatic Part Codification,
NC integration with EdgeCAM/
GraphCAM


Logic Desiner

Researcher:

Rohit Sharma


Supervisor:


Dr James Gao

j.gao@gre.ac.uk

Industrial Spondors:

LSC Group

Knowledge Representation and Reuse for
Predictive Design and Manufacturing Evaluation

Product
Data
Model DB
Process
Model DB
Product
Knowledge
Base
'Predictive Design Engine'
Design
Environment:
Project Model
Data
Layer
Logic
Layer
Presentation
Layer
WWW
Internet
External (contributing)
systems
CAD
system
System Architecture

Research assistant:


David Baxter


Principal

Investigator:


Prof James Gao

j.gao@gre.ac.uk

Project

Aims



Enable

engineering

organisations

to

rapidly

create

product

variants

that

meet

similar

functional

requirements



Develop

a

methodology

that

supports

capture

and

reuse

of

design

and

manufacturing

knowledge



Enable

design

data

sharing

for

communication

among

team

members

via

a

common

platform


Objectives



Develop

new

methodologies

for

the

capture

and

representation

of

design

knowledge



Integrate

design

and

manufacturing

knowledge

into

the

collaborative

design

environment



Test

and

refine

the

developed

methodologies

with

the

collaborating

companies


Industrial

Relevance

and

Partners

The

methodologies

developed

will

be

applicable

to

a

range

of

manufacturing

companies,

with

particular

relevance

to

large

companies

operating

in

mature

environments
.

The

project

collaborators

are

ArvinMeritor,

Rolls
-
Royce,

BOC

Edwards,

PTC,

and

the

University

of

Loughborough
.