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Manufacturing, Production and Logistics Systems
This area of research is motivated
by industry interactions over the past ten years with Bethlehem
Steel, Lucent Technologies, Ford Motor Company, UPS, PP&L,
Unisys and a number of medium size manufacturing companies. While
my earlier research focused on planning and scheduling robustness,
the industry interaction has broadened my interests considerably.
Along with my colleagues we identified a new focus in manufacturing
called Manufacturing Logistics, referring to the planning, coordination,
and integration issues among manufacturing facilities. My particular
interest is in the coordination of production and shipment planning
in manufacturing supply chains (specifically, automotive and electronics
supply chains). In 1995, I co-founded the Manufacturing Logistics
Institute (MLI), a research group conducting academic research
on real industry problems. We have been quite successful in getting
NSF and private sector supports for these research activities
(a MLI brochure summarizing current projects is attached). More
excitingly, MLI has assumed a leadership role in charting a national
research agenda in manufacturing and logistics. In May 29-30,
1997, MLI hosted an NSF workshop on Manufacturing Logistics where
more than 100 academic and industry researchers attended. After
lively discussion and many debates, a comprehensive outline of
future research directions was put into shape. In 1998, a workshop
organized for UPS will take place, focusing on Supply Chain Integration
services for their regional and worldwide customers.
Specific Topics:
- Planning and Scheduling Robustness, Assembly
Design
- Supply Chain Integration via Coordinated
Manufacturing Planning
- Capacity Planning, Configuration, and Allocation
for Semiconductor Facilities
- Demand Characterization in Electronics
and Automotive Supply Chains
- Sipment Planning to Achieve Supply Chain
Lead Time Reduction
This line of research has been supported
by several NSF grants, and several grants provided by the industry.
I have collaborated many of these activities with Bob Storer
and Laura Burke and this has been the subject of a few dissertations
by my Ph.D. students Mary J. Meixell, Kadir Ertogral, Kedar
Naphade, Jorge Leon, Eui-Seok Byeon, Michael Bartolacci, Jewel
Bonser and Michael Chang, and master's students Phil Brennan,
Nabeela Al-Refai, Hakan Gobashi and Koichi Tsuruta.
Distributed and Game Theoretic Decision Processes
My research in this area examines theories
and analytic tools basic to various industrial decision processes.
My focus has been to methods that reconcile centralized, monolithic
planning processes with distributed, multi-facet operational environments.
This entails theories and models that reconcile a priori stochastic
analysis with dynamic recourse policies, reconcile global strategic
objectives (e.g., business planning) with local constraints/ preferences
(e.g., manufacturing operations), and reconcile aggregated a priori
information (e.g., forecast, market analysis) with actual observations
over time (e.g., actual demand, sales data). Techniques rooted
in graph theory, mathematical programming, game/group decision
theory, and robust /stochastic optimization provide me with the
primary tools to address these problems. Most research are motivated
by experiences from modeling real industrial planning systems.
Specific Topics:
- Distributed Decision Making
- Auction and Bidding Models
- Mapping Distributed and Monolithic Optimization
Models
- Graph-Theoretic Decomposition
- Lagrangean Methods for Model Preprocessing
- Robust A Priori Optimization
- Applications: Supplier Management, Networks
Traffic Management, Reconcile Contracted and Short-Term Procurement
Decisions (PP&L), Reconcile Centralized Resources with Multi-Facet,
Market Specific Requirements (Ford, Lucent), Reconcile Forecasted
and Actual Demand Information (Lucent), Reconcile Business Planning
with Manufacturing Process Design (Bethlehem Steel)
This line of research has been supported
by an NSF grant and a grant from U.S. Air Force, and several
grants provided by the industry. I have collaborated many of
these activities with Pat Harker at the University of Pennsylvania
and this has been the subject of a few dissertations by my Ph.D.
students Erhan Kutanoglu, Suleyman Karabuk, and Hakan Golbasi.
Discrete and Combinatorial Optimization
My focus in this area is to develop search
algorithms, decomposition schemes, relaxation methods and other
computational techniques that allow the efficient solution of
optimization problems. Of special interests are discrete and combinatorial
optimization. The research is motivated by special structures
often observed in real-world optimization problems, which provide
insights for efficient algorithm design. Research has been conducted
in construction project management (ATLSS), production scheduling
(Neapco, Bethlehem Steel, Tray-Pak), critical resource scheduling
(Bethlehem Steel), software project management (UNISYS), VLSI
design and routing problems (AT&T), telecommunication network
routing, and assembly design and planning problems.
Specific Topic Areas:
- Specialized Search Algorithms: Problem
Space Search, Simulated Annealing, Genetic Algorithms
- Lagrangean Heuristics
- Graph Theoretic Algorithms
- Ordinal Comparison of Algorithms
- Special Structures in Scheduling and Routing
Problems
I have collaborated with Bob Storer on many
of these problems. The students I have collaborated with in this
line of research includes Kedar Naphade , Mike Bartolacci, I.-K.
Park (Ph.D. students), and Ranzo Vaccari, Bhavin Doshi, Jaime Bustos
(Master's).
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