Call for Special Sessions/Tracks
A special track/session typically requires 3-5 papers. The goal
of special sessions and tracks is to provide a focused discussion
on innovative topics. Each prospective organizer is invited to submit
a proposal explaining the targeted topics' novelty/importance and
listing the contributing authors and their contributions.
Download
the proposal template.
To organizers:
Organizers invite 3-5 papers (speakers) for each focused session
you are organizing. As you will be responsible for the special session,
you can have different dates (i.e., paper submission schedule) set
for your invited authors. You will be responsible for collecting
their submissions and organizing the review process for the submissions.
However, the final camera-ready papers should be submitted to the
conference via the web site:
http://www.faim2007.org/ or http://www.ssglobal.org/faim2007
before April 1, 2007.
Please send inquiries and submit your proposal to Prof. Gina Tang
at tang@rowan.edu or Prof.
Kathryn Jablokow at kwl3@psu.edu.
Proposed Focused
Tracks
(If you are intersted in submitting papers to these
tracks, please contact the organier(s) directly.)
1. Simulation
2. Challenges
toward Collaborative Manufacturing
3. Assembly
and Manipulation of Nano particles, Bio Cells and Micro devices
4. Lean
Material Handling
5.
Engineering Design
6. Micro
Assembly
7. Problem Solving and Change Management
8. Production Engineering
9. Bio-design and
Bio-fabrication
10. RFID in Supply Chains
11. Closed-Loop
Engineering
12. Application of Evolutionary
Algorithms for Manufacturing Systems
13. Manufacturing optimization
through intelligent techniques
14. Total Quality Management
and Six Sigma Management
15. Lean Energy and Environment
Management
16. Soft Computing
1.
Simulation
Organizer:
PD Dr.-Ing. Gerald Weigert
Department of Electrical Engineering and Information
Technology
Dresden University of Technology
Dresden, D-01062, Germany
TEL: +49 - 351- 463 36439
FAX: +49 - 351 - 463 37035
e-mail: weigert@avt.et.tu-dresden.de
http://www.avt.et.tu-dresden.de/ROSI/index.html
TRACK COVERAGE
Discrete event simulation systems (DES-systems) are nowadays essential
for the theory and practice of the manufacturing planning and control.
The stringent requirements of the market, especially the keeping
of due dates, demand an ever-increasing degree of planning and controlling
of manufacturing processes with consideration of finite resource
capacity. Conventional ERP/MRP-systems do not satisfy these requirements
and therefore they must be assisted by simulation-based scheduling
systems. For the simulation technology a new and ambitious field
of application, which can by shortly described by the term "process
accompanying simulation" is being established. Prerequisite for
the practical use are fast simulators as well as the mastery of
further tasks, such as the coupling of the simulator with the IT
- environment of the particular company or the automatic generation
of simulation models from data bases. The purpose of this track
is to provide a forum for researchers to share knowledge and thereby
broaden their perspective in the field of discrete event simulation
and simulation based scheduling.
RECOMMENDED TOPICS
The Simulation Track encourages the submission
of quality papers dealing with (but not limited to) the following
topics:
Development and Application of Discrete Event Simulation Systems
Simulation-based Scheduling/Optimization
Data Interface between Simulation Systems and ERP-Systems
Automated Generation of Simulation Models
Integrated Simulation (Time, Cost, Quality)
Case Studies
2.
Challenges toward Collaborative Manufacturing
Organizers:
Lihui Wang, Ph.D.
Integrated Manufacturing Technologies Institute
National Research Council of Canada
800 Collip Circle, London, Ontario N6G 4X8, Canada
TEL: +1 (519) 430-7084
FAX: +1 (519) 430-7090
e-mail: lihui.wang@nrc.gc.ca
Jerry Y.-H. Fuh, Ph.D.
Department of Mechanical Engineering
National University of Singapore
9 Engineering Drive 1, Singapore 117576
TEL: +65 6516-6690
FAX: +65 6779-1459
e-mail: mpefuhyh@nus.edu.sg
Due to business decentralization and outsourcing,
collaborative manufacturing becomes the norm in such a distributed
and dynamic manufacturing environment. Fortunately, the Web and
the latest information technologies are mature enough to support
this initiative. Collaborative manufacturing shows promise of bridging
the gap between a dispersed engineering team both geographically
and temporally. It covers a broad ground from design to manufacturing,
as well as conflict resolution during collaborations. Although various
efforts have been made trying to solve problems in this area, issues
related to effective and practical collaborative manufacturing continue
to present challenges for dispersed engineering teams. Consequently,
the objective of this track is to provide a forum for researchers
and practitioners to review the past achievements, to discuss current
progress, and to identify possible research directions relevant
to collaborative manufacturing. The topics of interest, including
but not limited to the following, are:
- Web-based collaborative design and manufacturing
- Agent-based process planning and scheduling
- Conflict resolution and collaborative trouble-shooting
- Web-based monitoring and control
- Web-based machining and rapid prototyping
- Distributed manufacturing
- Security and privacy of web-based systems
- Virtual or digital manufacturing
Original papers on aforementioned topics of interest are encouraged
for submission to the track of Challenges toward Collaborative Manufacturing.
The procedure and deadlines for submission of a manuscript along
with other conference information can be found at the conference
website (http://www.ssglobal.org/faim2007/).
3.
Assembly and Manipulation of Nano particles, Bio Cells and Micro
devices
Organizer:
Prof. Joe
Cecil
Room 293, Ed and Harold Foreman Engineering Complex
Department of Industrial Engineering
New Mexico State University
P.O. Box 30001
Las Cruces, NM 88003-8001, USA
Phone: (505) 646-2950
Fax: (505) 646-2976
E-mail: jcecil@nmsu.edu
This track will focus on research topics dealing with
manipulation / assembly of nano particles, bio cells and micro devices.
Papers are invited dealing with modeling of interactive and other
forces at these various scales, design of equipment and work cells
to support manipulation of these target objects, experimental results
involving use of innovative manipulators, design of simulation tools
and frameworks to facilitate such activities as well as development
of collaborative approaches (including use of Virtual Reality, other
IT technologies) to support distributed accomplishment of these
activities.
4.
Lean Material Handling
Organizers:
Douglas L. McWilliams, PhD, CPIM
Department of Industrial Technology
Purdue University
377A Knoy Hall
West Lafayette, IN 47907-2021
Office: (765) 494-0298
Fax: (765) 496-2700
Email: dmcwilli@purdue.edu
Mike Ogle
E-mail: mogle@mhia.org
5.
Engineering Design
Organizer:
Prof. Janis Terpenny
Department of Engineering Education
Affiliate Mechanical Engineering, Industrial & Systems
Engineering
332 Randolph Hall (0218)
Virginia Polytechnic Institute and State University
Blacksburg, VA 24061
(540) 231-9538 Phone
(540) 231-6903 Fax
Site Director, NSF Center for e-Design: http://www.e-designcenter.info/
Director, SMART Lab: http://www.enge.vt.edu/terpenny/Smart/Index.htm
E-mail: terpenny@vt.edu
- Artificial Intelligence in Design
- Advances in Design Theory, Representations, Methods, and Formalisms
- Creativity and Innovation in Design
- Design Behavior Study and Cognitive Modeling
- Validating and Verifying Design Theories and Methods
- Making Better Decisions in Engineering Design
- Designing in Collaborative and Distributed Environments
- Product Architecture Design Methods
- Theory and Methods for Sustainable Product Development
- Widely Applicable Techniques for Improving Design Practice
in Industry
- Advanced Design Education and Design Curricula
- Conceptual Design Methods
- Concurrent/Collaborative Design
- Decomposition Methods in Design
- Design for Manufacture and Assembly
- Design Optimization Algorithms
- Decision-Based Design
- Feature-Based and Parametric Design
- Geometric Modeling and Computer Graphics
- Industrial Applications, Developments, and Perspectives
- Managing Design and Analysis Processes
- Multi-scale Material & Product Design
- Knowledge-Based Systems in Design
- Simulation-Based Design
- Product Family and Product Platform Design
- Robust Design and Life-Cycle Issues
- Visualization and Virtual Reality in Design
- Web-Based Design and Optimization
6.
Micro
Assembly
Organizers:
Ajit Pardasani, Senior Research Officer
Integrated Manufacturing Technologies Institute
National Research Council Canada
800, Collip Circle, London, Ontario, N6G4X8, Canada
TEL: (519)-430-7085
FAX: (519)-430-7064
E -mail: Ajit.Pardasani@nrc.gc.ca
John Yeow, Professor
Department of Systems Design Engineering
University of Waterloo
200 University Avenue West
Waterloo, Ontario, N2L 3G1
TEL: +1-519-888-4567, ext 2152
FAX: +1-519-746-4791
E -mail: jyeow@engmail.uwaterloo.ca
TRACK COVERAGE
Miniaturization of industrial and consumer products has resulted
in need for assembly technologies to support the cost effective
production of microsystems. Even though considerable progress has
been made in machining and fabricating parts that range in size
from a few mm to a few microns, assembly of these microcomponents
into functional devices still poses significant challenges. Conventional
handling and manipulation methods do not work in the micro world.
Microcomponents are extremely lightweight, delicate and therefore
get entangled and damaged easily. They are sensitive to dust, humidity,
vibrations, and small temperature changes. Gravity plays an insignificant
role in their assembly but they are strongly affected by contact
adhesive forces (like electrostatic, Van der Waals, and surface
tension). They tend to jump towards grippers, stick to them in unexpected
orientations, and are difficult to release and position accurately.
High precision systems, using microgrippers and microscopes, are
utilized to grip, position, align, adjust, and assemble these parts
into microsystems. The purpose of this track is to provide a forum
for researchers and manufacturing engineers to network and share
knowledge in the field of microassembly.
RECOMMENDED TOPICS
The topics of interest, including but not limited to the following,
are:
Handling of microcomponents
Strategies for tackling surface forces
Micromanipulation
Automation
Microassembly planning
Sensing of microcomponents
Techniques for compensating tolerances
7. Problem
Solving and Change Management
Organizer:
Prof. Kathryn Jablokow
Engineering Division
Penn State Great Valley
School of Graduate Professional Studies
30 E. Swedesford Road
Malvern, PA 19355
Tel: 610-648-3372
Fax: 610-648-3377
E-mail:KWL3@psu.edu
TRACK COVERAGE
Due to the increasing complexity of today's engineering systems,
the accelerating rate of change in the technologies that support
them, and the growing need to collaborate in order to solve problems
successfully, the knowledge and skills required by engineers are
greater and more diverse than ever before. In addition to advanced
technical expertise and the ability to manage technological change
through such means as new product development and creative design,
engineers must understand how to manage change in the human domain
as well, coordinating human problem solvers effectively to meet
practical needs. The objective of this track is to provide a forum
for researchers and practitioners to discuss problem solving and
the management of change in engineering and technology, including
the identification of key issues, the analysis of current needs,
the synthesis of proposed solutions, and the review of recent achievements.
RECOMMENDED TOPICS
The Problem Solving and Change Management Track encourages the submission
of high quality papers dealing with (but not limited to) the following
topics:
- Modeling and Analysis of Complex Problems
- Modeling and Analysis of Technological Change
- Invention and Creative Design
- New Product Development
- Advanced Problem Solving Methods and Techniques
- Creativity in Engineering
- Distributed Collaborative Problem Solving
- Shared Understanding
- Risk and Uncertainty in Engineering Problem Solving
- Management of Engineering Teams
- Management of Technological Change
8. Production Engineering
Organizer:
Prof. Tamas Szecsi
E-mail:tamas.szecsi@dcu.ie
9.
Bio-design and Bio-fabrication
Organizer:
Prof. Wei Sun
Department of Mechanical Engineering and Mechanics
Drexel University
Philadelphia, PA 19104
Tel: 215-895-5810; Fax: 215-895-2094
Email: sunwei@drexel.edu
http://www.mem.drexel.edu/cate
10. RFID in Supply Chains
Organizer:
Bala Ram, PhD, PE
Professor
Department of Industrial & Systems Engineering
426B McNair Hall
North Carolina A&T State University
Greensboro, NC - 27411
336-334-7780 X 516 (Phone)
336-334-7729 (Fax)
E-mail: ram@ncat.edu
11.
Closed-Loop
Engineering
Organizer:
Dr. Ahmad Barari
Faculty of Engineering and Applied Science
University of Ontario Institute of Technology (UOIT)
2000 Simcoe Street North Oshawa
Ontario L1H 7K4, Canada
Tel: 905-721-3111 ext: 3661
Fax: 905-721-3370
E-mail: ahmad.barari@uoit.ca
TRACK COVERAGE
Traditional engineering design and manufacturing process are formed
by sequence of individual activities with rigid interfaces when
input/output for each activity need to be explicitly specified.
As a result, a design or manufacturing process is successful only
when all of the input/outputs are generated within the certain levels
of quality and accuracy. During the last two decades, the revolutionary
philosophy of Concurrent Engineering (CE) has significantly reduced
the cost and the life cycle time of the engineering products or
services, by increasing the parallelism of activities, however,
its implementation still needs the solid predefinitions of the inputs/outputs
of the activities.
Closed-Loop Engineering (CLE) provides a new philosophy to structure
the engineering activities involved in a design and manufacturing
process. Based on the CLE, instead of the individual activities,
closed-loops of two or more activities form an engineering process.
As a major advantage of this concept, the need to specify a solid
interface between the activities is eliminated. The online flexible
interfaces are generated by real-time analysis of actions and reactions
between the activities. These flexible borders provide two great
opportunities of online error detection and complementary/compensation
reactions.
Each loop is terminated when a certain level of product/service
quality or accuracy is achieved. As a result, quality and accuracy
of each individual activity is controlled in a real-time manner
and corresponding to any detected error or malfunctioning, a compensating
reaction can be generated by the other activities in the loop. This
methodology ensures a certain level of quality and accuracy of the
final product or an engineering service without any need to utilize
more expensive logistics or more advanced technologies. Also a need
for after process quality control is eliminated because the desired
quality is always produced within successful operation of the loops.
RECOMMENDED TOPICS
The Closed-Loop Engineering Track encourages the submission of quality
papers dealing with (but not limited to) the following topics:
- Integration of Activities in Design and Manufacturing Process
- Error Compensation Opportunities Achieved by CLE
- Closed-Loop Opportunities in Classic Design and Manufacturing
Process
- Case Studies and Implementation of Close-Loops
- Loops Management
- Timing and Loops synchronizing
- Loops Interactions
- Feasibility Study and Technological Limitations for CLE
12.
Application
of Evolutionary Algorithms for Manufacturing Systems
Organizers:
Prof. C. S. P. Rao, Ph.D.
Department of Mechanical Engineering
National Institute of Technology
Warangal -506 004, Andhra Pradesh, INDIA
TEL: 91-870-2462332
FAX: 91-870-2459547
E-mail: csp_rao@sify.com,
csp_rao@rediffmail.com,
cspr@nitw.ac.in
Dr. P. Asokan, Ph.D.
Associate Professor
Department of Production Engineering
National Institute of Technology
Tiruchirapally - 620 015, Tamil Nadu, INDIA
TEL: 91-431-2501400
FAX: 91-431-2500133
E -mail: asokan@nitt.edu
TRACK COVERAGE
Evolutionary Algorithms are stochastic search methods that mimic
the metaphor of natural biological evolution. These algorithms are
gaining immense popularity all over the world for real-world engineering
search and optimization problems. In the present day competitive
environment the industries are now facing design and manufacturing
challenges. To survive in this highly competitive environment, the
industries can no longer afford to adjust with a solution just obtained
by trail and error method. Hence there is a need for the industries
to choose an optimal solution that is best from the viewpoint of
cost and performance of a solution over other solutions.
Applications of evolutionary Algorithms for manufacturing problems
has been current areas of research. New breed of algorithms have
been evolving in this area and hence a lot of work is concentrated
for research. Facility layout design, capacity planning aggregate
planning, scheduling, MRP, cellular manufacturing, FMS, agile and
responsive manufacturing and SCM are potential areas of application
of evolutionary algorithms.
Thus the aim of organization of this session is to provide a forum
for researchers to share and enhance their knowledge in this field
of work.
RECOMMENDED TOPICS
The track on "Application of Evolutionary Algorithm for Manufacturing
System" encourages the researchers to submit quality and application
oriented paper and proposals dealing with (but not limited to) the
following topics:
Evolutionary Algorithms
Genetic Algorithms
Applications to Design and Production Engineering Problems
Multi Objective Optimization
Applications of MOGA, ENGA, PEAS, NSGA I & II and SPEA-I &
II algorithm
Hybrid Genetic Algorithms
GA with Ant Colony, Simulated Annealing, Sheep Flock and Greedy
Search Algorithms
Applications to Design Optimization, Production Processes, Scheduling,
Process Planning and MRP
Applications of EA to supply chain management
Cellular Manufacturing System
Agent Based Manufacturing Systems
Responsive Manufacturing Systems etc.
13.
Manufacturing optimization through intelligent techniques
Organizer:
Dr.R.Saravanan, M.E, Ph.D
Professor and Head
Dept. of Mechatronics Engineering
Kumaraguru College of Technology
Coimbatore - 641006
Tamilnadu, India
Phone: (Off ) 0422 - 2669401 - 404
Extn: 2451 Fax: 2669406
( Cell ) 94433 47210
E-mail: saradharani@hotmail.com
Manufacturing optimization is the systematic and scientific approach
for solving the problems concerned with various manufacturing functions
to make best manufacturing decisions. The ultimate goal of all such
decisions is either to minimize the effort required or to maximize
the desired benefit.
Any manufacturing function can be formulated as an optimization
problem. It is a multi-variable, multi-objective, nonlinear, constrained
optimization problem.
Many conventional optimization techniques are used for solving
the various manufacturing optimization problems. But all these techniques
are not robust and each technique is suitable for solving a particular
type of manufacturing optimization problem.
To overcome the difficulties with the conventional techniques,
recently optimization procedures based on the following new techniques
called as Intelligent Techniques have been developed
by researchers:
Genetic algorithm (GA)
Simulated annealing algorithm ( SAA )
Particle swarm optimization ( PSO )
Tabu search ( TS )
Ant colony optimization ( ACO )
Artificial Neural Network ( ANN ) etc.
These modern techniques are robust and simple to implement for
solving the following manufacturing optimization problems:
- Design of machine elements
- Machining tolerance allocation
- Selection of operating parameters for CNC machine tools
- Integrated product development
- Production scheduling
- Part family formation and machine grouping for cellular manufacturing
and Flexible manufacturing systems
- Robot trajectory planning
- Intelligent manufacturing
14.
Total
Quality Management and Six Sigma Management
Organizers:
Dr. Hsu-Hua Lee
Department of Industrial Engineering and Management,
Ching Yun University, Chung-Li, Taiwan, R.O.C.
e-mail: hhlee@cyu.edu.tw
Tel: 011-886-3-4581196 Ext 6110
Dr. Ming-Tzong Wang
Department of Industrial Engineering,
National Taiwan University, Taipei, Taiwan, R.O.C.
e-mail: mtwang@ntu.edu.tw
Tel: 011-886-2-33669502
The special tracks and sessions of "Total Quality Management and
Six Sigma Management" on 2007 FAIM focus on current research, best
practices and future trends within the areas of total quality management
and six sigma management. These special sessions provide a forum
for both researchers and practitioners in the above fields to share
the latest research, developments and practices in the areas of
the conference scope.
Topics include, but are not limited to:
1). Total Quality Management and Continuous Management
2). Six Sigma Management
3). Globalization Quality and Collaborating Quality Management
4). Customer Satisfaction and Customer Relationship Management
5). International Quality Certification System
6). Quality Management of High-Technology Industry, Service Industry,
and Construction Industry
7). Safety Quality of Labor, Product Safety, and Product Liability
8). Quality Information System and Quality Innovation
9). Design of Experiment and Taguchi Quality Engineering
10). Statistical Process Control, Process Management and Improvement
11). Strategy Planning and Objective Management
12). Quality Function Deployment
13). Therapy and Health Care Quality
14). Educational Quality and Leadership Quality
15). Cost of Quality, Competitiveness, and Productivity Improvement
16). Logistics Quality and Supply Chain Quality Management
17). Research and Development Quality and Knowledge Management
18). Others
15.
Lean
Energy and Environment Management
Organizers:
Dr. Rapinder Sawhney Ph D (Univ. of Tennessee)
College of Engineering, University of Tennessee, Knoxville, USA
406 East Stadium Hall
Knoxville, TN 37996-0700
Phone: (865) 974-3333
Fax: (865) 974-0588
E-mail: sawhney@utk.edu
Dr Kumanan Somasundaram Ph D (IIT Madras)
National Institute of Technology, Tiruchirappalli, India
107 M T Building
Tiruchirappalli 6200152
Phone : 91-0431-2501801
Mobile : 91-0-9486001116
Fax: 91-0431-2500144
E-mail: kumanan@nitt.edu
TRACK COVERAGE
A key requisite of the track is to fully describe how Lean Energy
and Environmental Management is able to perform more accurate design
studies and eliminate waste in the fabrication, assembly, and operations
of industrial facilities without compromising the environmental
quality. The savings are brought by the use of lean tools and techniques
that allows conflicting issues to be worked in parallel and through
the use of virtual models that contain the complete and accurate
description of all components of the entire project at all times
throughout the history of the project. It is to realize the need
to provide flexibility to the subsystems through modularity of design,
while enhancing the concept of definition and its cost, schedule
and risk assessment accuracy considering uncertainty throughout
the life cycle. The main concern for combining the energy and environment
is to realize conservation of both but not at the cost of each other.
It makes the task of designing Industrial Systems tough but "tough
gets going when the going gets tough".
RECOMMENDED TOPICS
The Lean Energy and Environment for Industry track encourages the
submission of quality papers and proposals dealing with (but not
limited to) the following topics:
1) Lean Thinking and Methods in Industry
2) Lean Energy and Environment -Simultaneous Engineering
3) Industrial Case Studies on Energy and Environment Management
4) Design and Development of Lean Industrial Systems
5) Modeling and Simulation of Lean Enterprises
16.
Soft Computing
Organizer:
Ping-Yu Chang, Ph.D.
Graduate School of Industrial Management
Mingchi University of Technology
84, GungJuan Rd., Taipei County, 243, Taiwan
TEL: +886-2-29089899 Ext. 4716
FAX: 886-2-2906-3269
e-mail: pchang@mail.mit.edu.tw
Feng-Cheng Yang, Ph.D.
Graduate Institude of Industrial Engineering
National Taiwan University
No. 1, Sec. 4, Roosevelt Road, Taipei, 10617 Taiwan
TEL: +886-2-3366-9503
FAX: +886-2-2362-5856
e-mail: iefcyang@ntu.edu.tw
Sharif H. Melouk, Ph.D.
Department of Operational Science
Air Force Institute of Technology
AFIT/ENS, 2950 Hobson Way, Wright Patterson AFB OH 45433-7765
TEL: +1-937-255-3636
FAX: +1-937-565-4943
e-mail: Sharif.Melouk@afit.edu
TRACK COVERAGE
Nowadays, coping uncertainty into optimization problems and decision
making process has become a pertinent area in research. There are
numerous successful applications that have attracted more interest
in the area and fostered the need for further research on methodologies.
Soft computing collects these different methodologies that exploit
imprecision and uncertainty to achieve robustness and low solution
cost. Therefore, soft computing has provided the opportunity to
integrate human-like vagueness and real-life uncertainty into an
otherwise hard computer program. Hence, the Soft Computing Track
encourages the submission of quality papers, panel, and workshop
proposals dealing with (but not limited to) the following topics:
