Technical Review

1
Technical Review
930a Technical Review Session 1 - Logistics
Systems Analysis and Design 1030 Poster
Session, Salon A 1145 LIFE forms Noon Luncheon
115p Technical Review Session 2 - Material
Flow Design Improvement - Supply Chain
Modeling Technical Review Session 3 -
Intelligent Systems 215 Poster Session, Salon
A 330 LIFE forms
2
Technical Review Logistics Systems Analysis and
Design
CL06-MICH Exploring Next-Generation
Distribution at Michelin Michelin North
America William Ferrell CL06-LOCK Logistics
Improvements at Lockheed Martin Lockheed Martin
Aircraft Logistics Center Kevin Taaffe
OU06-TILE Technology Insertion Lifecycle
Execution (TILE) Pilot Oklahoma City Air
Logistics Center Hazem Refai OU06-FTA Improving
Quality-of-Service in Para Transit
Operations Federal Transit Authority Sridhar
Radhakrishnan OU06-FRT Inter-Modal
Containerized Freight Security-Freight Flow
Modeling/Phase1 Oklahoma Department of
Transportation Yongpei Guan UA06-AFRL Chemical
and Biological Logistics Response Research Air
Force Research Laboratory Ray Hill YR4 UA05-AF1
Modeling and Simulation Based Framework
AFOSR Manuel D. Rossetti UA06-WM Improving
Inventory Record Accuracy within Retail Store
Operations Wal-Mart Stores Inc. Manuel D.
Rossetti
3
Technical Review Logistics Systems Analysis and
Design
UA06-Gallo Tank Selection Optimization E J
Gallo Scott J. Mason OSU06-HAL Equipment
Scheduling and Optimization Phase
2 Halliburton Carlos Oliveira OSU06-OMA The
Oklahoma Supply Chain and Logistics
Survey Oklahoma Alliance for Mfg.
Excellence Ricki Ingalls OSU/OU06-07-OTC
Freight Movement Model Development for Okla.,
Phase V Oklahoma Department of Transportation Rick
i Ingalls LH06-LSBK Heuristic scheduling in a
simulation-like environment Lusitania
Bakery Emory Zimmers LH07-FMI Improved
Logistics Through Bar Coding Agile Product
Development Processes Fragrance Manufacturing
Inc. Emory Zimmers UL05-03 Crane Large-Scale
Workforce Training Schedule for Logistics
Skills Crane Sunderesh Heragu
4
Exploring Next Generation Distribution at
Michelin Sponsor MichelinPrincipal
Investigator Bill FerrellResearch Team Priya
Devapriya, Ahmed Hassan Aly
Research Objectives
This
Reduce the transportation expenditure by finding
the proper combination of delivery modes, routes,
and load consolidation
Approach

• Understand the existing process and identify
  opportunities for improvement
• Mathematical programming and development of cost
  base models
• Development of heuristics to find near optimal
  solutions fast

or this
Broader Impact
Any company with the opportunity to use mixed
modes and strategies for delivering goods and
services to DCs and/or retailers could use this
methodology and potentially reduce costs
or something else
Logistics Systems Analysis and Design
Clemson University
Project CL06-MICH
5
Logistics Improvement at Lockheed Martin
Sponsor Lockheed MartinPrincipal Investigator
Kevin TaaffeResearch Team Michael Sawyer
Research Objectives Significant Results
Approach Significant Results
Approach
Broader Impact
Document and analyze business processes related
to logistics to gain insight into gaps in the
current systems and areas for improvement.
Produced swimlane process maps that clearly
indicate where 1) critical information is being
transferred, 2) information flow or work stoppage
results in delayed procurements, and 3)
information flow needs improvement.
Create process maps of current system. Extract a
high level view of the process and identify the
most fruitful area for improvement. Define
requirements for the improvement
project. Develop alternate operating strategy for
the identified problem.
Develop a method for defining system processes
and identifying improvement projects in highly
structured environment.
Project CL06-LOCK
Logistics Systems Analysis and Design
Clemson University
6
Technology Insertion Lifecycle Execution
PilotSponsor Oklahoma City-Air Logistics Center
(OC-ALC)Principal Investigator Hazem Refai and
Carl Hatlelid Research Team Kyle Sparger,
Daniel Henry, and Xianbo Chen
Research Objectives To develop a lifecycle execution methodology and systems Engineering approach to facilitate technology insertion into system, support and infrastructure. Significant Results The development of a Technology Insertion Environment for hardware/software testing and behavioral profiling.
Approach To identify the aspects in the Air Force Acquisition Lifecycle Execution that are relevant and applicable to OC-ALC technology insertion needs. Once identified, the research project develops a technology insertion work flow using IBM Rational software development tool. Significant Results The development of a Technology Insertion Environment for hardware/software testing and behavioral profiling.
Approach To identify the aspects in the Air Force Acquisition Lifecycle Execution that are relevant and applicable to OC-ALC technology insertion needs. Once identified, the research project develops a technology insertion work flow using IBM Rational software development tool. Defense Acquisition Framework
Broader Impact Rapid Assessment and Troubleshooting Rapid Prototyping Rapid integration of New Technology Standardization of Insertion Processes Defense Acquisition Framework
Project OU06-TILE
Logistics Systems Analysis and Design
University of Oklahoma
7
Improving Quality-of-Service in Para-Transit
Operations with TechnologySponsor Federal
Transit AdministrationPrincipal Investigator
Sridhar Radhakrishnan
Research Objectives Significant Results NEW PROJECT
Approach We will develop a system that contains the following features Location tracking for vehicles on a mapping system Manifest communication including near real-time en-route, pickup, drop off, and no show status to dispatcher. Dispatcher to drive non-voice communication. Automatic and semi-automatic intimation of pickup vehicle status to riders using pagers. Automatic mileage calculation and reporting. Manifest editing, scheduling, and automatic manifest generation. Significant Results NEW PROJECT
Approach We will develop a system that contains the following features Location tracking for vehicles on a mapping system Manifest communication including near real-time en-route, pickup, drop off, and no show status to dispatcher. Dispatcher to drive non-voice communication. Automatic and semi-automatic intimation of pickup vehicle status to riders using pagers. Automatic mileage calculation and reporting. Manifest editing, scheduling, and automatic manifest generation.
Broader Impact The proposed system can be used in any environment that requires dispatcher and driver communication.

• Increase rider ship with current resources.
• Reduce cost-per-trip.
• Improve quality of service for riders by
  decreasing pick-up
• window size and dwell time.
• Demonstrate the effectiveness of operations to
  funding
• agencies with better and accurate reporting
  tools.

Project OU06-FTA
Logistics Systems Analysis and Design
University of Oklahoma
8
Inter-modal Containerized Security Freight Flow
Models/Phase1 Sponsor ODOTPrincipal
Investigator Pulat, P. S., Ph.D.Research Team
Karabuk, S., Ph.D., Moses, S., Ph.D., Guan,
Y., Ph.D., Shen, G., Ph.D. Lebeau,
J., GRA, Ojha, C., GRA, Wang, J., GRA
Research Objectives Significant Results
Approach Significant Results
Approach
Broader Impact
Develop a scalable global freight flow model to
predict volume and mix of inter-modal freight and
improve the operations efficiency for the
containerized security-freight flow
NEW PROJECT
Phase 1 is primarily a literature review stage of
a multi-year involvement. Review will focus on
imports, exports, economic forecasting models,
network design, resource allocation,
international trade, economic and demographic
factors, modal networks, inter-modal facilities,
and special freight.
Include color picture or graphic.
Better planning of goods flow over secure
networks.
Project OU06-FRT
Logistics Systems Analysis and Design
University of Oklahoma
9
Decision Support for Logistics Response to
Chemical, Biological or Radiological (CBR)
AttacksSponsor Air Force Research
LaboratoriesPrincipal Investigators Ed Pohl,
Ray Hill (Wright State University), Laura
Militello (University of Dayton Research
Institute)
Research Objectives Significant Results Project initiated early February 2006 Initiated stakeholder analysis Interviews with Log Planners Interviews with representatives of several AF commands Attended several exercises Identify potential requirements for planning tools Funding received August 2006 Lit review and Model Review underway Use case analysis and basic story boards being developed
Approach Significant Results Project initiated early February 2006 Initiated stakeholder analysis Interviews with Log Planners Interviews with representatives of several AF commands Attended several exercises Identify potential requirements for planning tools Funding received August 2006 Lit review and Model Review underway Use case analysis and basic story boards being developed
Approach http//www.ca.sandia.gov/chembio/systems_analysis/wmd-dac/index.html
Broader Impact http//www.ca.sandia.gov/chembio/systems_analysis/wmd-dac/index.html
Extend the reach of existing logistics modeling
and simulation tools so they can assist in the
decision making and coordination of the needs of
military logistics teams in a crisis
action/deliberate planning mode
Task 1. Requirements Analysis Stakeholder
Analysis, task decomposition/functional
allocation, operational impacts of CBR attacks on
logistics, assess distribution of logistics
decision making authority and role of technology,
top-level use case analysis Task 2. Establish
Logistics MS Technology baseline Identify MS
platforms for predicting impacts of CBR attacks,
for predicting logistics effects in a dynamic,
net-centric environment, Identify tools for
supporting human-centric collaboration and
coordination, Automated plan generation
Research focus is on human/network interaction
and the integration of the human and the planning
system to maximize the collaboration potential of
distributed teams that must conduct deliberate
planning and then operate in crisis action/crisis
planning mode
Project UA06-AFRL
University of Arkansas
Logistics Systems Analysis and Design
10
Modeling and Simulation Framework for Sense
Respond Logistics Principal Investigator M. D.
Rossetti (PI), Nebil Buyurgan (co-PI),E. A. Pohl
(co-PI), C. R. Cassady (co-PI)Research Team S.
Nangia, M. Miman, V. Varghese, Y. Xiang, W. Ye
Research Objectives Significant Results
Approach Significant Results
Approach
Broader Impact

• Inventory Layer (almost complete)
• Demand state based modeling is established to
  provide greater flexibility to model any kind of
  multi-echelon multi item inventory systems in a
  dynamic environment. Metric systems to evaluate
  the sense and response logistic configurations is
  under development
• Facility Layer (in design phase), Transport
  Layer (in design phase), Spatial Layer (almost
  complete)
• 2006 Winter Simulation Conference Paper Submitted

To develop an object-oriented, behavior-pluggable,
discrete-event military logistics and supply
chain simulation model architecture, which is
capable to simulate the sense and repose
logistics under dynamic network structures
An Object-Oriented Framework for Simulating
Sense and Respond Logistical Networks. A
framework is a reusable design of all or part of
a system that is represented by a set of patterns
and classes and the way their instances interact
that can be customized by an application
developer. The logistic network is modeled in
interacting layers such as Inventory, Facility,
Transport and Spatial to model any kind of
dynamic systems
Researchers, analysts, and practitioners will
have low cost, flexible tools to model the
dynamic behavior of logistical response actions
within the new paradigm of sense and respond
logistics. It will enable to evaluate a variety
of complex logistic systems quickly and helps
planning and decision making in such systems.
Project UA05-AF1
University of Arkansas
Logistics Systems Analysis and Design
11
Improving Inventory Record Accuracy in Retail
Store OperationsM. D. Rossetti (PI), N. Buyurgan
(co-PI), J. English (co-PI) Research Team S.
Gumrukcu, L. Yu, R. Walker
Research Objectives Significant Results
Approach Significant Results
Approach
Broader Impact

• Set of departments and items that impact the
  inventory accuracy was found through a general
  methodology. Correcting the problematic SKUs with
  cycle counting comes up with approximately 10 of
  accuracy improvement and approximately 30
  discrepancy improvement
• Two M.S. Thesis in Process

To quantify the costs of inventory record
inaccuracy and misplaced SKUs at the store and
system level To develop process improvement
recommendations for the store and distribution
centers to improve in-store inventory record
accuracy
Gathering data to perform a statistical analysis
to identify problem SKUs. Applying cycle
counting in order to correct these items.
Models/methods to quantify the costs and benefits
related to these issues will be developed.
Data mining sampling techniques for large-scale
inventory systems Statistical process control
techniques developed to maintain inventory record
accuracy
University of Arkansas
Logistics Systems Analysis and Design
Project UA06-WM
12
Tank Assignment Optimization Sponsor E. J.
Gallo Winery Principal Investigator Scott J.
Mason, Ph.D., P.E., C. Richard Cassady, Ph.D.,
P.E.Research Team Research Assistants Yasin
Unlu, Behlul Saka, Jun Jia, Abe Lachowsky
Research Objectives To develop a methodology for assignment of operations to tanks for all wine making processes. This methodology will provide near-optimal assignments in an acceptable amount of computation time Significant Results Developing initial model formulations
Approach 1. Optimization-based approach will be employed to model the EJ Gallo tank assignment process, and then to optimally determine operation-to-tank assignments that minimize/maximize desired performance measures (e.g., minimizing head loss, maximize preferences, etc.) 2. Heuristic-based approach will be developed to produce high-quality solutions in a reasonable amount of computation time by exploiting the structure of the problem uncovered during the first approach Significant Results Developing initial model formulations
Approach 1. Optimization-based approach will be employed to model the EJ Gallo tank assignment process, and then to optimally determine operation-to-tank assignments that minimize/maximize desired performance measures (e.g., minimizing head loss, maximize preferences, etc.) 2. Heuristic-based approach will be developed to produce high-quality solutions in a reasonable amount of computation time by exploiting the structure of the problem uncovered during the first approach
Broader Impact Potential for highly tractable optimization and/or heuristic formulation of problem under study may be applicable to general, tightly constrained assignment problems
Project UA06-Gallo
University of Arkansas
Logistics Systems Analysis and Design
13
Equipment Scheduling and Optimization Phase
2Sponsor HalliburtonPrincipal Investigator
Carlos Oliveira, Ricki Ingalls Research Team
Carlos Oliveira, Ricki Ingalls, Yenping Leow
Research Objectives Significant Results
Approach Significant Results
Approach
Broader Impact
This project, led by Drs. Ricki Ingalls and
Carlos Oliveira, will create an optimization
model that will determine the optimal
configuration and assignment of pumping equipment
at the multiple Halliburton camps.
The first phase of the project is complete, with
large cost savings in the scheduling used by the
company. The current phase extends the
formulation to consider scheduling of jobs for a
larger period of time.
Provide integer programming models to schedule
equipment among multiple camps to known jobs so
that pumping equipment utilization is maximized.
Optimization models will be tested and analyzed
for their suitability to solving the proposed
problem.
The results of this project may be adapted to the
solution of related machine scheduling problems
in other industries.
Project OSU06-HAL
Logistics Systems Analysis and Design
Oklahoma State University
14
The Oklahoma Supply Chain and Logistics
SurveySponsor Oklahoma Alliance for
Manufacturing ExcellencePrincipal Investigator
Ricki G. IngallsResearch Team Ananth
Krishnamoorty, Sandeep Srivathsan, Mark Jones
Research Objectives Significant Results
Approach Significant Results
Approach
Broader Impact
To survey and understand the current logistics
environment in Oklahoma.
No Results As Of Yet.
1) Search the literature for similar surveys that
were done in other states. 2) Develop a
database of businesses in Oklahoma and their
logistics requirements. This database will
include manufacturing, distribution, and
transportation companies that do business in the
state. 3) Develop a survey or some other
appropriate analysis tool to analyze the Supply
Chain and Logistics in the state of Oklahoma.
This survey and research will characterize the
logistics of a rural state and could be
applicable for use for other states.
Project OSU06-OMA
Logistics Systems Analysis and Design
Oklahoma State University
15
Freight Movement Model for Oklahoma, Phase V
Sponsor Oklahoma Transportation Center
(OTC)Principal Investigator Ricki G. Ingalls
(OSU), P. Simin Pulat (OU)Research Team
Manjunath Kamath and Samir Ahmed (OSU), Guoqiang
Shen (OU)
Research Objectives Phase V will build on the previous phases of the project that focused on the development of the regional (US) mathematical model and prototype software. The current phase will primarily focus on the development of the mathematical model for projecting the freight movement within Oklahoma. Significant Results (expected) Enhanced regional model with more robust and simpler projection models. Mathematical models to project freight movement within Oklahoma. Prototype software that includes the regional and state models in a single environment.
Approach Alternative methods to the (modified) Urban Travel Demand Model used in the regional model development will be studied. The use of optimization and simulation techniques will be explored in the state model development. Significant Results (expected) Enhanced regional model with more robust and simpler projection models. Mathematical models to project freight movement within Oklahoma. Prototype software that includes the regional and state models in a single environment.
Approach Alternative methods to the (modified) Urban Travel Demand Model used in the regional model development will be studied. The use of optimization and simulation techniques will be explored in the state model development. Software Architecture
Broader Impact The methodology to model the freight movement within Oklahoma and the software application should be adaptable to other states to support infrastructure planning. Software Architecture
Project OSU/OU06-07-OTC
Logistics Systems Analysis and Design
Oklahoma State University/U. Of Oklahoma
16
Heuristic Scheduling in a Simulation-like
EnvironmentSponsor Lusitania BakeryPrincipal
Investigator Charalambos Marangos, Ph.D., Lehigh
University Research Team Emory W. Zimmers,
Ph.D., Lehigh University Graduate Students
Research Objectives Significant Results New models are under development to remediate perceived deficiencies in the approaches historically used. For example integration of user-friendly mapping features. improvement in the ability to fully accommodate a complete set of relevant constraints. improved algorithmic/heuristic solutions developed for use through vendor supplied user interface to legacy software.
Approach Significant Results New models are under development to remediate perceived deficiencies in the approaches historically used. For example integration of user-friendly mapping features. improvement in the ability to fully accommodate a complete set of relevant constraints. improved algorithmic/heuristic solutions developed for use through vendor supplied user interface to legacy software.
Potential Broader ImpactThe development of a generalized analytical methodology which can be applied to businesses with similar operational characteristics. To present a comparative analysis of all project constraints using the same industrial data sets.
Model delivery routes using simulation constructs
in a dynamic scheduling environment Identify and
develop the heuristics to be used Utilize this
framework for proof-of-concept purposes (both
modeling and optimization)

• Delivery route analysis and optimization
• Document existing delivery routes
• Utilize several historically used scheduling
  algorithms for route analysis
• Evaluate routes in terms of logical groupings
• Structure the problem in a new modeling framework
• Apply the appropriate heuristics
• Compare with the companys historical
  scheduling methods
• Develop an efficient sequencing of deliveries for
  the routes

Typical Event Graph
Logistics Systems Analysis and Design
Project LH06-LSBK
Lehigh University
17
Improved Logistics Through Bar Coding Agile
Product Development ProcessesSponsor FMI,
Inc.Principal Investigator Emory W. Zimmers,
Ph.D., Lehigh UniversityResearch Team Justin
Rinker, Jeff Silvan, Kristen Lyon
Market positioning utilizing improved logistical
and agile business practices.
Project LH07-FMI
Logistics Systems Analysis and Design
Lehigh University
18
Large-Scale Workforce Training Schedule for
Logistics SkillsSponsor Naval Surface Warfare
Center, Crane Principal Investigators Gail
DePuy, John Usher
Research Objectives Develop a method for matching workers to tasks based on skills. In cases where further training of workers is required to complete a task, a heuristic will be developed to determine which employees should be trained in which logistics skills to minimize the overall training cost. Significant Results Developed mathematical model able to obtain optimal results for small to medium sized problems. Development of heuristic approach initiated.
Approach Survey existing assignment heuristics Develop a skills management heuristic to assign employees to tasks based on skills/requirements profiles as well as develop a training schedule to best address identified skills gaps Develop skills management software tool and test using data provided by Crane. Significant Results Developed mathematical model able to obtain optimal results for small to medium sized problems. Development of heuristic approach initiated.
Approach Survey existing assignment heuristics Develop a skills management heuristic to assign employees to tasks based on skills/requirements profiles as well as develop a training schedule to best address identified skills gaps Develop skills management software tool and test using data provided by Crane.
Broader Impact Skills matching is applicable to any industry No previous work to date has been found
Project UL05-03
Logistics Systems Analysis and Design
University of Louisville
19
Technical Review Material Flow Design
Improvement
TT06-NCPA I and II Performance Evaluation (and
Economic Analysis) of Cottonseed
Bio-diesel NCPA/PYCO Oil Mill Jim
Burns TT06-CTTN Cotton Gin Waste Research Cotton
Incorporated Jim Burns TT06-BWXT Development of
Resource Planning Algorithm BWXT/Pantex Timothy
Matis TT07-BWXT Optimizing Machine Shop
Scheduling Practice at BWXT/Pantex BWXT/Pantex Tim
othy Matis OSU07-DAC Photocatalytic Degradation
of Trinitrotoluene U. S. Army Defense Ammunition
Center (DAC) Jason Robinson LH06-OMNI Shipping
Container Recycling System Phase 1 OMNI
Systems Emory Zimmers
20
Performance Evaluation of Cottonseed Bio-diesel
Blended with Low Sulfur Diesel Fuel for Lubricity
Sponsor National Cottonseed Products Assoc.,
PYCO Oil Mill Principal Investigator
Terry Collins, Ph.D., P.E.Research Team James
Simonton, Ph.D., Paul Keierleber
Research Objectives Significant Results
Approach Significant Results
Approach
Broader Impact Performance, emissions, and particulate matter will determine which blend level of cottonseed bio-diesel in low sulfur diesel fuel will be optimal. RBD and PBSY oil will be used to factor in the economics of bio-diesel production for quality and cost.

1. Performance (HP/Torque) variations
2. Emissions evaluation
3. Particulate matter characterization
4. Optimal cottonseed oil refinement for bio-diesel
   production

Test layout and setup is complete. Pilot testing
on PBSY sourced cottonseed bio-diesel is in
initial stages.

1. Engine/dynamometer test stand for load and speed
   variation
2. Utilization of various blend levels of cottonseed
   bio-diesel
3. Bio-diesel tested sourced from both RBD and PBSY
4. Emission/particulate analysis compared with pure
   low sulfur diesel fuel

Material Flow Design Improvement
Texas Tech University
Project TT06 NCPA/I
21
PART II Engineering Economic Analysis of a
Cottonseed Oil Bio-diesel OperationPrincipal
Investigator Terry R. Collins, Ph.D., P.E.
Research Team James L. Simonton, Ph.D., Paul
Keierleber, Josh Jones
Research Objectives To evaluate the economic feasibility of building and operating a cottonseed oil based bio-diesel processing plant. Equipment cost Flexible model that can be adapted to various production sizes Significant Results The development of the model is estimated at being 75 complete. With the exception of several needed requirements, the model is set up to respond to changes made to specific dynamic figures.
Approach Using Crystal Ball a spread sheet model will be used to develop and track all costs associated with cottonseed bio-diesel production The model will include fixed relationships and user inputs to be able to adjust to various crop conditions Significant Results The development of the model is estimated at being 75 complete. With the exception of several needed requirements, the model is set up to respond to changes made to specific dynamic figures.
Approach Using Crystal Ball a spread sheet model will be used to develop and track all costs associated with cottonseed bio-diesel production The model will include fixed relationships and user inputs to be able to adjust to various crop conditions
Broader Impact
The utilization of cottonseed oil based
bio-diesel has the potential to become a safe and
cheap alternative to widely used petroleum fuels.
Material Flow Design Improvement
Project TT06-NCPA/II
Texas Tech University
22
Gin Waste Research Economic Analysis Sponsor
Cotton Incorporated Principal
Investigator Terry R. Collins, Ph.D., P.E.
Research Team James L.
Simonton, Ph.D.
Research Objectives Significant Results
Approach Significant Results
Approach
Broader Impact
The feasibility study results indicate a strong
market potential for the use of gin waste
hydro-mulch as a competitive product over current
products on the market. For the second objective
of the project, the breakeven point for biodiesel
production in a small scale facility is at
.33/lb for cottonseed oil which equates to
approximately 2.40/gal pump price.
1.) Conduct a feasibility study for gin waste
hydro-mulch 2.) Investigate the economic
feasibility and cost/benefits of cottonseed
biodiesel mini-mills.
This project involves research (economic
feasibility) in the areas of gin waste
hydro-mulch production and cottonseed oil
biodiesel development. The first research effort
has conducted an in-depth feasibility study for a
gin waste based hydro-mulch product. The second
deliverable for this project has been to
determine the economic feasibility and production
break-even points for cottonseed oil biodiesel
mini-mills.
The utilization of cotton ginning waste
by-products as a stabilizing agent for soil
erosion control has tremendous potential as a
value added cotton by-product. The second
deliverable has been to determine whether small
cottonseed oil production facilities can
economically produce methyl-esters.
Material Flow Design Improvement
Project TT06-CTTN
Texas Tech University
23
Project Development of a Resource Planning
Algorithm Sponsor BWXT/PantexPrincipal
Investigator Timothy I. Matis,
Ph.D.Researchers Milton L. Smith, Ph.D., P.E.
Research Objectives Significant Results The development of an algorithm used for production planning that is sensitive to multiple variables that affect daily production rates. The algorithm is used for resource planning (personnel, equipment, facilities) to make real-time adjustments to perturbations in production operations
Approach Significant Results The development of an algorithm used for production planning that is sensitive to multiple variables that affect daily production rates. The algorithm is used for resource planning (personnel, equipment, facilities) to make real-time adjustments to perturbations in production operations
Approach Graphic
Broader Impact Graphic
The primary objective for this project is to
develop a resource planning algorithm that will
improve the existing production and inventory
control models used by BWXT/Pantex
The approach that will be used to achieve these
objectives includes 1) Evaluate the current
production scheduling and work assignment
methods. 2) Develop appropriate production
scheduling models for BWXT/Pantex 3) Develop
capacity planning models to more accurately
measure throughput capacities
This research effort will have immediate
beneficial impact to the Pantex facility. Other
member companies have the potential to benefit
from the deliverables of this project by
modifying and adapting the model to fit their
constraints.
Adaptation of program Bottle, originally
developed by W. Applegate and D. Cook
Material Flow Design Improvement
Texas Tech University
Project TT06-BWXT
24
Optimizing Machine Shop Scheduling Practice
Sponsor BWXT/PantexPrincipal Investigator
Timothy I. Matis, Ph.D.
Research Objectives Significant Results This is a new project just underway in September
Approach Significant Results This is a new project just underway in September
Approach
Broader Impact
The overall objective of this work is to improve
the scheduling practice presently used in the
machine shop at Pantex, which may be generalized
as a constrained job shop
The approach that will be used to achieve these
objectives includes 1) an evaluation of current
scheduling practices 2) the creation of an
optimal scheduling algorithm that is
computationally scalable 3) the coding of this
algorithm into a user-friendly software
environment
The algorithms and software created through this
project will require little or no worker training
to utilize, thereby supporting broad
implementation in small to mid size manufacturing
firms beyond this project.
Material Flow Design Improvement
Texas Tech University
Project TT07-BWXT
25
Photocatalytic Degradation of Trinitrotoluene
Sponsor DAC/National Science
FoundationPrincipal Investigator Dr. H. James
Harmon Research Team Chemical, Biological and
Energetic Agent Research Group
Research Objectives Significant Results
Approach Significant Results
Approach
Broader Impact
The purpose of this research is to demilitarize
growing stockpiles of out-of-specification
munitions using a green technology.
After the recent unveiling of the prototype
reactor at the NDIA Global Demilitarization
Conference (Indianapolis, IN) the beta version of
the reactor is being prepared for field testing.
Through the development of a novel porphyrin
based photocatalyst a broader solar array system
can be implemented at surplus sites to facilitate
on-site remediation of explosives.
Packed Photocatalyst
Due to the configurable nature of the solar
array, different photocatalysts can be used for a
myriad of problematic substances requiring onsite
disposal.
Photocatalytic Array
Project OSU07-DAC
Material Flow Design Improvement
Oklahoma State University
26
Shipping Container Recycling System Phase I
Principal Investigator Emory W. Zimmers, Jr. ,
Ph.D., Lehigh University Co-Principal
Investigator Kathleen Johnson, Pres. Omni
Systems Inc. Ray Novotny, PE Lehigh University
Students
Research Objectives Determine the feasibility of using high speed water jets (HSWJ) to remove drum labels. Investigate the geometric and hydraulic design and operational parameters needed to cost-effectively remove drum labels using a pre-prototype device. Prepare a preliminary design of an automatic drum delabeling station based on the previous investigations. Significant Results Over 100 tests were conducted on representative drums Pressures ranged from 2500 to 40000 psi Flow rates ranged from 6-12 gpm. A variety of spray nozzle configurations were tested from solid jet conical to flat spray 15-25 nozzles. Results indicate a minimum of 8000 psi and a flow rate of 10 gpm with a process time of two minutes is required to have a cost-effective process. Prototype equipment design is underway
Approach Determine the feasibility of using high speed water jets (HSWJ) to remove drum labels. Investigate the geometric and hydraulic design and operational parameters needed to cost-effectively remove drum labels using a pre-prototype device. Prepare a preliminary design of an automatic drum delabeling station based on the previous investigations. Significant Results Over 100 tests were conducted on representative drums Pressures ranged from 2500 to 40000 psi Flow rates ranged from 6-12 gpm. A variety of spray nozzle configurations were tested from solid jet conical to flat spray 15-25 nozzles. Results indicate a minimum of 8000 psi and a flow rate of 10 gpm with a process time of two minutes is required to have a cost-effective process. Prototype equipment design is underway
Approach Determine the feasibility of using high speed water jets (HSWJ) to remove drum labels. Investigate the geometric and hydraulic design and operational parameters needed to cost-effectively remove drum labels using a pre-prototype device. Prepare a preliminary design of an automatic drum delabeling station based on the previous investigations. High Speed Water Jet Equipment Used for Testing and Prototype Development
Broader Impact The use of HSWJ to remove labels when recycling drums has broad positive environmental and ergonomic implications based on the current methods of drum label removal including Flame (open burners) Chemicals (caustic solutions) Manual (wire brushes and rotary tools). High Speed Water Jet Equipment Used for Testing and Prototype Development
Project LH06-OMNI
Material Flow Design Improvement
Lehigh University
27
Technical Review Supply Chain Modeling
LH05-DSN Dynamic Partnership Establishment under
Business Environment for Agile Organizations Cook
Technologies Emory Zimmers UA/CHMR TIE Project
Healthcare Supply Chain Modeling using
Simulation National Science Foundation Manuel D.
Rossetti UL05-GLTZ Inventory, Distribution and
Value-Added Activities Analysis N. Glantz
Son Sunderesh Heragu UN07-PORT The Modeling of
Inland Port Transportation Nebraska Dept. of
Economic Development Erick Jones
28
Establishing Dynamic Supplier Network
Partnerships Principal Investigator Emory W.
Zimmers , Ph.D., Lehigh University Co-Principal
Investigator Aurélie C. Thiele , Ph.D., Lehigh
UniversityGraduate Assistant Manisra
Baramichai, Ph.D. Candidate, Lehigh University
Research Objectives Significant Results
Approach Part 1 Develop a Quality Function Deployment-based model (ASCTM model) for supply chain configurations. Part 2 Develop the methodology for evaluating and selecting suppliers by introducing two new metrics, Suppliers Change Response Proficiency and Suppliers Intangible Infrastructures into the performance measurement framework. (The above two parts have been presented in a previous CELDi meeting) Part 3 Develop multi-stage stochastic programming model (SOAM model) to help select suppliers and contract structures. Determine the order allocation assignment that minimizes the expected total cost related to the purchasing decision under a multi-item, multi-period, stochastic demand environment. Potential Broader Impact Developing networked partnerships with key suppliers can enhance a companys competitiveness through increased market responsiveness, cost savings, flexible and quicker response, better customer service, and potentially shorter lead-times. Significant Results
To develop the methodology, modeling and
operational tools needed to help create a network
of suppliers for partnership establishment. This
is done under rapidly changing business
environments by focusing on the issues related to
agile supply chain configuration, supplier-buyer
relationship establishment, sourcing strategy,
supplier selection and optimal order allocation
assignment.

• The following graph is an example of results
  obtained by applying the preliminary SOAM model
  to simulated data from commonly used
  distributions.
• Under volatile demands, the solution technique
  allows companies to leverage their purchasing
  decision to exploit both lower cost suppliers and
  more flexible, but usually more costly suppliers
  (to react to uncertainty).
• Flexibility is built into the solution technique
  through the spot market and the use of option or
  bundling contracts.

Cost savings in percentage by making decisions
using the SOAM model (compared with the cost
incurred when purchasing under more traditional
approaches)
Supply Chain Modeling Lehigh University
Project LH05-DSN
29
TIE Project Healthcare Supply Chain Modeling
using Simulation Principal Investigator Dr.
Manuel Rossetti
Research
Team Amit Bhonsle, Steve Sharp
Research Objectives Evaluate ways that hospital organizations manage their vertical chain of production, culminating in decisions regarding make versus buy and inventory stocking policies. Provide health care managers with information that will allow them to make better strategic decisions about inventory and distribution to improve the performance of their organizations. Develop risk assessment procedures for hospitals facing disruptions in their supply chains Significant Results Developed an operational supply chain network model of Mercy Health Systems using Supply Chain Guru (Strategic Supply Chain Planning Software) for top 500 items. Currently analyzing costs Reviewing literature on supply chain risk management. Identifying techniques to be incorporated into simulations Identifying risk based performance measures. Developing example model for risk assessment.
Approach Identify the two predominant healthcare supply chain strategies In-house inventory and supply contract management Vs Outsourced inventory and supply contract management. Study and evaluate the supply chain operations of the two hospital systems that have implemented the above strategies Mercy Health Systems and The Nebraska Medical Center. Model hospital supply chains under under uncertainty of supply and transportation. Significant Results Developed an operational supply chain network model of Mercy Health Systems using Supply Chain Guru (Strategic Supply Chain Planning Software) for top 500 items. Currently analyzing costs Reviewing literature on supply chain risk management. Identifying techniques to be incorporated into simulations Identifying risk based performance measures. Developing example model for risk assessment.
Approach Identify the two predominant healthcare supply chain strategies In-house inventory and supply contract management Vs Outsourced inventory and supply contract management. Study and evaluate the supply chain operations of the two hospital systems that have implemented the above strategies Mercy Health Systems and The Nebraska Medical Center. Model hospital supply chains under under uncertainty of supply and transportation.
Broader Impact Assist managers in the healthcare industry to take informed decisions based on the system of performance metrics with level indicators. Develop risk-based metrics for assessing hospital supply chains
Mercy Health Systems Supply Chain Network Orange
Circles Suppliers Green Circles Mercy
Locations
Project UA/CHMR
University of Arkansas
Supply Chain Modeling
30
Inventory, Distribution and Value-Added
Activities Analysis Sponsored by N. Glantz and
Son Principal Investigator Gerald W. Evans
Research Team Gail DePuy, John Usher, Maria
Chiodi
Research Objectives Develop a tool that will allow the sponsor to answer several questions regarding their distribution system, including 1) Should the DC be enlarged?, 2) Should the branches order stock directly from the vendor or through the DC (for the various branch-product line combinations?, 3) What should the values of various inventory policy variables be? Significant Results Experimentation with the Arena simulation model and the Optquest optimization tool indicated that allowing only the distribution center and one of the 19 branches to order directly from the vendor, along with a policy that would allow relaxation of the specified policies for ordering from the vendor (to meet vendor minimum requirements for a product line) would result in a yearly savings of approximately 36,000, as compared to the as-is policy. Extrapolation to all product lines would indicate a yearly savings of approximately 720,000.
Approach An Arena simulation model of the system was developed and used for experimentation. The model employed several input variables, including two main types of control variables 1) Indicator (0/1) variables which specify whether a branch should order a particular product line directly from the vendor, or through the distribution center (one variable for each product line and branch combination), and 2) Continuous variables (one for each product line-branch combination when the product line is ordered directly from the vendor) which specify, for those product lines ordered directly from the vendor, the fraction over the line points (order points) allowed for SKUs to be added to an order for the order to meet the vendor minimum order. Additional inputs to the model include vendor lead times, DC shipping schedule, cost for each SKU (modeled as a piecewise linear function), selling price for each SKU, demands for each SKU at each branch, shipping costs, inventory holding costs, etc. Outputs include sales at each branch, lost sales at each branch, shipping charges, inventory holding costs, etc., and finally a net profit calculation, used to evaluate various policies. Significant Results Experimentation with the Arena simulation model and the Optquest optimization tool indicated that allowing only the distribution center and one of the 19 branches to order directly from the vendor, along with a policy that would allow relaxation of the specified policies for ordering from the vendor (to meet vendor minimum requirements for a product line) would result in a yearly savings of approximately 36,000, as compared to the as-is policy. Extrapolation to all product lines would indicate a yearly savings of approximately 720,000.
Approach An Arena simulation model of the system was developed and used for experimentation. The model employed several input variables, including two main types of control variables 1) Indicator (0/1) variables which specify whether a branch should order a particular product line directly from the vendor, or through the distribution center (one variable for each product line and branch combination), and 2) Continuous variables (one for each product line-branch combination when the product line is ordered directly from the vendor) which specify, for those product lines ordered directly from the vendor, the fraction over the line points (order points) allowed for SKUs to be added to an order for the order to meet the vendor minimum order. Additional inputs to the model include vendor lead times, DC shipping schedule, cost for each SKU (modeled as a piecewise linear function), selling price for each SKU, demands for each SKU at each branch, shipping costs, inventory holding costs, etc. Outputs include sales at each branch, lost sales at each branch, shipping charges, inventory holding costs, etc., and finally a net profit calculation, used to evaluate various policies. Submodels of the Simulation Model
Broader Impact Development of methodologies for investigation of 1) Effect of uncertainties associated with demand forecasting models on distribution system effectiveness, 2) Interfacing of multi-criteria optimization models with large scale simulation models, and 3) Interfacing of heuristic optimization methodologies with simulation models. Submodels of the Simulation Model
Supply Chain Modeling
Project UL05-GLTZ
University of Louisville
31
The Modeling of Inland Port Transportation
Sponsor Nebraska Dept. of Econ
DevelopmentPrincipal Investigator Erick C.
JonesResearch Team Jinxiang Pei (PhD
candidate), Yan Tie
Research Objectives Significant Results
Approach Significant Results
Approach
Broader Impact
The Nebraska Model goal is to assist Nebraska
Department of Economic Development in providing
solutions to organizations considering moving
facilities to Nebraska
Current data show that the replenishment costs
have to be overcome from centralized distribution
from NE. Give specific demand this can be
accomplished. Nebraska-Brazil model will evaluate
performance of Omaha as an inland port.
Phase I Use Nebraska-Brazil model to achieve
preliminary modeling parameters Phase II Expand
results to create Generic Baseline
Scenario Finalize Datasheets to allow for easy
collection for future companies to be
modeled Further Market realized Benefits of
Nebraska
This initial model can be leveraged by other
Nebraska organizations to identify opportunities
to increase more economic development in Nebraska
Supply Chain Modeling
Project UN07-PORT
University of Nebraska-Lincoln
32
Technical Review Intelligent Systems
UN07-RAIL Evaluation of RFID in the Rail
Industry Federal Railroad Admn. Erick Jones
OSU07-ALC Technological and Economic Evaluation
of Competitive RFID and other Automatic
Identification Technologies for Asset Tracking in
Tinker AFB Ramps Oklahoma City Air Logistics
Center Satish Bukkapatnam UA06-RRAD Economic
and Technical Feasibilities of Implementing
Robotics and Machine Vision in an Automotive
Repair and Component Manufacturing
Environment Red River Army Depot Earnest W. Fant
OU06-WIM Truck Weight Enforcement using
Advanced Weigh-in-Motion Systems Oklahoma
Department of Transportation Jim Sluss
33
Evaluation of RFID in the Rail IndustrySponsor
FRAPrincipal Investigator Erick C.
JonesResearch Team Anthony Baumgart
Research Objectives Significant Results
Approach Significant Results
Approach
Broader Impact
The goal of the project is to investigate how
RFID technologies can be integrated into the FRA
strategic plan to improve safety and productivity
for the Railroad Industry.
Initial information shows that RFID technologies
can be successfully applied to the Rail Industry
in several ways including asset tracking,
hazardous material tracking, and the automation
of safety systems.
Phase I Identify rail activities associated
with high costs and high risk of injury that RFID
technologies can be applied to Phase II Conduct
pilot studies of the reliability and usefulness
of RFID system when conducting the selected rail
activities Phase III Compare results of pilot
studies to the current GPS/barcode systems used
in the Rail Industry.
The results of the project can be used to
facilitate the implementation of RFID in other
forms of transportation as products are moved
from barges in ports to railcars to trucks for
final delivery.
Project UN07-RAIL
Intelligent Systems
University of Nebraska-Lincoln
34
Technological and Economic Evaluation of
Competitive RFID and other Auto-ID Technologies
for Asset TrackingPrincipal Investigator Dr.
Satish Bukkapatnam Research Team Mostafa Maiz,
Sharethram Hariharan, Brandon Gardner,
Jakkrit Kunthong, Rosa Madrid, Paul
Wright
Research Objectives To investigate technical, data management and economic issues of implementing Automatic Identification (Auto-ID) Technologies (including RFID, Wi-Fi, 2-D barcodes) in depot and ramp operations, and assess their impact on business processes of Tinker AFB Significant Results
Approach Survey of alternative Auto-ID (AITs) and Automatic Monitoring Technologies (AMTs) Economic analysis of the insertion of certain candidate AMTs for various asset management applications in Tinker ramp operations including the operations within and beyond the supply chain using value stream mapping tools Significant Results
Approach Survey of alternative Auto-ID (AITs) and Automatic Monitoring Technologies (AMTs) Economic analysis of the insertion of certain candidate AMTs for various asset management applications in Tinker ramp operations including the operations within and beyond the supply chain using value stream mapping tools
Broader Impact The presented research approach seems to be o interest to a few manufacturing and small businesses located in Oklahoma

• New model to predict the read-rate probabilities
  of backscatter RFID systems
• New POMDP approach to use RFID to search and
  locate misplaced items
• Framework for economic analysis of AIT systems
  in warehouse/depot operations by the use of
  advanced value stream mapping (VSM) tools
• Survey and documentation of industry best
  practices to address various technological and
  economic issues

Project OSU07-ALC
Oklahoma State University
Intelligent Systems
35
Economic, Technical and Social Feasibilities of
Implementing Robotics in an Automotive Repair
EnvironmentSponsor Red River Army
DepotPrincipal Investigator Earnest W. Fant,
PhD., P.E.Research Team Sean Rimes (GRA) and
Matthew Breckenridge (UGA)
Research Objectives This research study is to investigate process improvement due to the introduction of advanced manufacturing technologies used in other automotive and component manufacturing facilities. The development of economic analysis, technical review and strategy to promote acceptance of technology so that implementation can be accomplished in which there is a current lack of knowledge of advanced technologies by management and the employees. Significant Results Research and investigate the research problem to the stage where a bidding process with specifications can be used so that at least three companies (system integrators) can bid to install the system. After system integrator selected, consult as to the installation and assist in the validation of the installation/process to meet organizations requirements. There is also the development of a strategy to promote the understanding in change and the employees capability to perform in a new role as supervisor of advanced technical systems.
Approach Perform literature search and documentation of case studies of successful implementation of robotics similar to current performed activities. Develop an economic feasibility of potential applications in work areas where material handling is involved. Develop a technically practical review for selected applications. Develop specifications for selected application characteristics. Develop economic and technical analysis to emphasize the sponsors process improvement as a result of the research. Document a strategy to promote work culture acceptance to emphasize process improvement. Publish research results and place in a special website so that employees can review progress. Significant Results Research and investigate the research problem to the stage where a bidding process with specifications can be used so that at least three companies (system integrators) can bid to install the system. After system integrator selected, consult as to the installation and assist in the validation of the installation/process to meet organizations requirements. There is also the development of a strategy to promote the understanding in change and the employees capability to perform in a new role as supervisor of advanced technical systems.
Approach Perform literature search and documentation of case studies of successful implementation of robotics similar to current performed activities. Develop an economic feasibility of potential applications in work areas where material handling is involved. Develop a technically practical review for selected applications. Develop specifications for selected application characteristics. Develop economic and technical analysis to emphasize the sponsors process improvement as a result of the research. Document a strategy to promote work culture acceptance to emphasize process improvement. Publish research results and place in a special website so that employees can review progress.
Broader Impact This research will benefit companies that are considering a broader application of the implementation of advanced manufacturing technologies where employees need to be trained and understand their role as supervisors of advanced manufacturing technologies.
Project UA06-RRAD
Intelligent Systems
University of Arkansas
36
Truck Weight Enforcement usingAdvanced
Weigh-in-Motion (WIM) SystemsSponsor OK Dept.
of Transportation (ODOT)Principal Investigator
Jim SlussResearch Team Bob Huck, Joe Havlicek,
Monte Tull, Thordur Runolfsson
Research Objectives McAlester, OK, Demonstration Project Survey of Best Practices for Oversize/Overweight Vehicle Enforcement Develop a Deployment Plan for Oklahoma Significant Results
Approach Significant Results
Approach Graphic
Broader Impact Graphic

• Survey of WIM site has been completed.
• Video / tag recognition system has been
• procured and is under test.

This project focuses on three tasks (1) a
pre-defined demonstration project at ODOTs
McAlester WIM site using advanced vehicle imaging
and wireless communications technology to allow
OHP officers to more effectively intercept
overweight violators, (2) a survey of other state
DOTs to determine best practices for
oversize/overweight vehicle enforcement, (3) a
determination of the best mix of technology based
on Oklahomas transportation system and the
development of a plan for deployment of WIM-based
technology for oversize/overweight vehicle
enforcement throughout Oklahoma.
Include color picture or graphic.
Truck weight enforcement is an important
component in preserving and extending the life of
roads and bridges. WIM technology is a tool that
can assist ODOT and (OHP in their efforts to
reduce damage to transportation infrastructure.
The technological approach can ultimately be
replicated in other states.
Project OU06-WIM
Intelligent Systems
University of Oklahoma
37
Upcoming Research
OU07-DAC U. S. Army Defense Ammunition Center
(DAC) Demilitarization Knowledge Management
Application for Transitioning the Ammunition
Stockpile - Phase IV Technology Trees
Enhancement and Integration Kurt Gramoll,
Ph.D. OU07-DAC2 U. S. Army Defense Ammunition
Center (DAC) Demilitarization Knowledge
Management Application for Transitioning the
Ammunition Stockpile - Phase IV Supplemental
Technology Trees Enhancement and
Integration Kurt Gramoll, Ph.D. OU07-DAC3D U.
S. Army Defense Ammunition Center (DAC) 3D Weight
Estimation Program Phase II Yunjun Xu,
Ph.D. OU07-FAA FAALC GPS/RFID Interference
Studies Hank Grant, Ph.D.
38
Research Experiences for Teachers (RET)
UA07-RET1 and 2 Research Experiences for
Teachers - IE Challenge National Science
Foundation Melissa Miller and Randall
Reynolds UA07-RET3 Research Experiences for
Teachers - Charlie Rossetti National Science
Foundation Scott J. Mason UN07-RET Research
Experiences for Teachers - Module for interesting
HS in Logistics National Science Foundation Erick
Jones
39
Research Experiences for Teachers 2006 Sponsor
National Science FoundationPrincipal
Investigators Dr. Richard Cassady and Dr. Ed
Pohl,Randall Reynolds/Melissa Miller
Research Objectives Create an interesting competition to promote industrial engineering among junior high and high school students. Significant Results Real-life examples deepen understanding. Opportunity to communicate with students about higher education and engineering.
Approach Develop a workstation design competition to challenge students to blend common IE processes with creativity in order to efficiently produce a unique product. Significant Results Real-life examples deepen understanding. Opportunity to communicate with students about higher education and engineering.
Approach Develop a workstation design competition to challenge students to blend common IE processes with creativity in order to efficiently produce a unique product.
Broader Impact Introduces a real-world problem in a positive fashion that lends itself to team building, school spirit, and fun. Incorporates sound industrial engineering concepts with real-world mathematic applications.
Project UA07-RET1 and 2
University of Arkansas
40
RET - Research Project for Classroom Instruction
Curriculum Integration for Manufacturing
Processes in ELL (English Language
Learners)Principal Investigators Dr. Scott
Mason, Charlie RossettiResearch Team ELL
Students in 3D CADD Design IED
Research Objectives Significant Results
Approach Significant Results
Approach
Broader Impact
Can ELL students better learn about manufacturing
processes by integrating geometry, literacy and
language acquisition in the context of a project?
Students increased their vocabulary and were able
to define the words by writing, explaining or
demonstrating the vocabulary in the context of
manufacturing. As their fluency increased
students began to participate more in group and
class discussions.
Students will be introduced to measuring,
geometry, and manufacturing in the context of a
hands-on manufacturing project. Language
acquisition will occur utilizing ELL strategies
in the context of this project. Manufacturing
and language acquisition will be assessed in a
manufacturing project using student teams.
Field Trip to U of A Bell Engineering. A
partnership with Dr. Scott Mason
ELL students will develop an active interest in
manufacturing processes. This manufacturing unit
will grow into a course of study that would
include product development, marketing, and
advertising.
Project UA07-RET3
University of Arkansas
41
RET Development of Logistics Trainer/Game for
High School StudentsSponsor National Science
FoundationErick C. Jones, Ph.D., Mr. Kale K.
Riley, M.Ed.
Research Objectives Significant Results Project not started yet
Approach Significant Results Project not started yet
Approach
Impact Statement

• The final objective is to create an interactive
  CBT and or video game that teaches Supply Chain
  Logistics to High School students

• Phase I Become familiar with current software,
  Design a testing plan, and Evaluate future
  upgradeability software platforms
• Phase I Finalize Computer Based Training
  software program and application, Use CBT to
  layout specs for interactive game, and Evaluate
  software platforms work with programmers
• Phase III Finalize product, Creation of Module
  for High School Delivery

By teaching the principles of supply chain
logistics at a high school level, we will better
prepare young people to become tomorrows
engineers, marketers, sales managers, executives
and entrepreneurs.
Project UN07-RET
University of Nebraska-Lincoln