Technical Review

1. Technical Review • - Logistics Systems Analysis and Design • - Material Flow Design & Improvement • - Supply Chain Modeling • - Intelligent Systems • Poster Session, Atrium • LIFE forms for Member Organizations

2. Logistics Systems Analysis and Design

3. Customers served by pool points Customers served by full TL Customers that are candidates for consolidation Customers served by Dedicated routes Next Generation Distribution at Michelin Sponsor: Michelin North AmericaPrincipal Investigator: Bill Ferrell Research Team: Priya Devapriya, Mark McElreath Research Objectives: • Investigating the cost savings associated with changing strategic and tactical transportation and distribution strategies Significant Results: • Consolidation of loads (even non-optimally) provides significant savings in distribution. • Quality solutions are generated in less than 1 minute on consumer level hardware under all real life distribution constraints Approach: • Model outbound tire distribution for DC • Partition orders by demand type • Design dedicated routes and pool points • Use areedy random search followed by local search to find consolidated routes Approach: Broader Impact: • Problem has interesting generic features: minimum cost transportation strategies with constraints like hours of service, delivery time windows and conflicting objectives between truckload carriers and vendors • Heuristic is efficient and runs on Excel • Excel interface is intuition and easy to use Logistics Systems Analysis and Design Project # CL06 - MICH

4. Inventory and Forecasting ImprovementsSponsor: Lockheed MartinPrincipal Investigator: Kevin Taaffe Research Team: Ashley Kay Childers Research Objectives Improve aircraft maintenance and material procurement for the United States Air Force Determine new forecasting methodologies for more than 100,000 parts (NSNs) in more than 300,000 locations (Bins) Determine the optimal order quantities (AQs) for these NSNs Maintain a Bin Fill Rate of at least 99% Approach Since there is not enough information to connect end-item-level forecasting to consumption at the bin level, the project is divided into two parts: 1. Improve annual parts forecasts at the NSN level 2. Improve the methodologies for setting/updating AQs • Broader Impact • When actual demand exceeds the Government’s estimated demand, there are gaps in supply. Providing and updating more accurate forecasts to suppliers will help to prevent stock-outs • A better method for setting and updating AQ levels will allow the AQ level to be more responsive to variations in monthly consumption NSN Forecasts to Suppliers End Item Forecasts BOMs NSNs ? Bin Consumption AQ Levels Logistics Systems Analysis and Design Project # CL07-LOCK

5. Sample Routes Integrated Production Lot Sizing and Vehicle Routing ProblemSponsor: Lusitania BakeryPrincipal Investigator: Gregory L. Tonkay, Ph.D., Research Team: Emory Zimmers, Jr., Ph.D., Charalambos Marangos, Ph.D., Thawee Nakrachata-Amon, Ph.D. Student • Model an integrated production lot sizing and truck routing problem for Lusitania Bakery • Develop a heuristic method to obtain an optimal or near optimal solution • Analyze the problem and identify relevant production and distribution constraints • Model the problem as a mixed integer program • Apply Lagrangian relaxation to decompose the problem into subproblems • Develop a subgradient optimization algorithm to obtain an optimal or heuristic solution with an acceptable optimality gap • Test the algorithm • Analyze the results and the effect of altering some resource parameters • Document the results • Efficient utilization of existing resources for many businesses with similar logistics requirements • Efficient production and delivery routing plan which attempts to maximizes the number of satisfied customers and profit Logistics Systems Analysis and Design Project # LH06-LSBK Lehigh University

6. Potential Savings from the Portfolio Contract Compared to Purchasing through Long-term Contracts Stochastic Model for Supplier Selection and Order Allocation : The Portfolio ApproachSponsor: FMIPrincipal Investigator: Manisra Baramichai, Ph.D. CandidateResearch Team: Emory W. Zimmers , Ph.D., Charalambos Marangos, Ph.D. • Portfolio contract structure development: A type of contract that is a synergy of traditional contracts, such as long-term contracts, options, and flexible contracts. • The stochastic mathematical model for making purchasing decisions and designing a portfolio contract for multiple items. To assist companies in purchasing commodities whose demands and prices are subject to uncertainty. Flexibility in response to market conditions is perceived as the most important factor in choosing suppliers. The uncertainty of both purchasing demands and price raises the question of whether to purchase now or wait for better market conditions in the future. Broader Impact: Purchasing commodities using the portfolio contract approach can help reduce procurement costs and reduce risks associated with inventory, availability and price. Project # LH07-FMI Logistics Systems Analysis and Design Lehigh University

7. Adaptive Logistics and Inventory ControlSponsor: Orion Security LSP, KTP EnterprisesPrincipal Investigator: Dr. Aurelie Thiele Research Team: Gokhan Metan, Ipek Ozkanoglu, Sara Ellis To present and analyze adaptive models of decision-making under uncertainty, which allow the decision-maker to recognize new patterns early on before inventory shortage. Adaptive algorithms perform well in small-scale simulations. Now need to be fine-tuned to real-life data sets. The information revealed over time determines which quantities the manager keeps track of, and how often he checks inventory. Information must be processed to extract main features in a robust, consistent manner. Use of robust control to stabilize inventory. New project area to develop applied research implementations building upon theoretical foundations. Graphics to be developed for next presentation cycle. Support for the theoretical foundations of the work is provided in part by NSF Grant DMI-0540143. The research is expected to provide a framework for inventory control that is better-suited to the information available to managers, and allow them to make better decisions in the presence of uncertainty. Logistics System Analysis and Design Project #LH07-OSKTP Lehigh University

8. Freight Movement Model for Oklahoma, Phase V Sponsor: Oklahoma Transportation Center (OTC)Principal Investigators: Ricki G. Ingalls (PI, OSU), Manjunath Kamath (Co-PI, OSU) P. Simin Pulat (PI, OU), Guoqiang Shen (Co-PI, OU) Project # OSU/OU06-07-OTC Oklahoma State University/University Of Oklahoma Logistics Systems Analysis and Design

9. Equipment Scheduling and OptimizationSponsor: Halliburton Principal Investigator: Ricki Ingalls, Ph.D.Research Team: Yen-Ping Leow Given the time window, demand and other constraint of all jobs, develop an optimization model to efficiently schedule equipment routing from jobs to jobs. Early test runs have shown that sample problems of 100 jobs could be solved to optimality within minutes. Conduct a literature review, develop a mixed integer programming model for the problem and implement it using Xpress optimization software. Develop test data to run the model to determine the runtime of the model and the quality of the solution. Include color picture or graphic. Development of the mathematical program to solve this scheduling problem could deliver enough savings in time and money to produce a positive financial impact. Logistics Systems Analysis and Design Project #OSU06-HAL Oklahoma State University

10. The Oklahoma Supply Chain and Logistics Survey Sponsor: Oklahoma Alliance for Manufacturing ExcellencePrincipal Investigator: Dr. Ricki IngallsResearch Team: Mark Jones, Ananth Krishnamoorthy, Sandeep Srivathsan To capture the logistical status of the companies in Oklahoma, as well as, to reveal some areas for improvement and cost reductions for those companies • Half of the companies fail to use electronic/internet based transportation management systems • Majority of the Inbound and outbound shipments are through LTL and air and parcel • Half of the companies have 10% or more of deadhead miles • Acquiring a list of companies to survey • Creating and distributing a questionnaire covering questions on logistical requirements and practices • Analyzing the responses and identifying areas for improvement and cost reduction The report made available to the alliance can used to improve the logistical practices of companies and to determine the freight flows within and between the states Logistics Systems Analysis and Design Project # OSU06-OMA Oklahoma State University

11. Freight Flow Models for Containerized Freight SecuritySponsor: Department of TransportationPrincipal Investigator: Simin PulatResearch Team: Guoqiang Shen, Scott Moses, Suleyman Karabuk and Yongpei Guan The objective of this research project is to study how to efficiently transport containers in, out and within the nation with security consideration. 1. To understand containerized import and export freight flows between USA ports/destinations and the rest of the world. 2. Design the service network efficiently. 3. Design the long term planning for the terminals 4. Simulations and scheduling for each terminal to evaluate the performance. This project will have impacts on improving both efficiency and security for the containerized freight flows in the nation. This project can also contribute to the scientific methodology innovation in scheduling and network optimization. Logistics Systems Analysis and Design Project #OU06-FRT University of Oklahoma

12. Economic Analysis of a Cottonseed Oil Bio-diesel OperationSponsor: NCPAPrincipal Investigator: Terry R. Collins, Ph.D., P.E. Research Team: James L. Simonton, Ph.D., Joshua Jones The utilization of cottonseed oil based bio-diesel has the potential to become a safe and cheap alternative to widely used petroleum fuels. Project # TT06/07-NCPA/II Texas Tech University Logistics Systems Analysis and Design

13. Decision Support for Logistics Response to Chemical, Biological or Radiological (CBR) AttacksPrincipal Investigators: Ed Pohl, Ray Hill (Wright State University), Laura Militello (University of Dayton Research Institute) - 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/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 M&S Technology baseline Identify M&S platforms for predicting impacts of CBR attacks, for predicting logistics effects in a dynamic, net-centric environment, Identify tools and challenges for supporting human-centric collaboration and coordination, Automated plan generation Research focus is on human/network interaction in an integrated way so as to maximize the collaboration potential for distributed teams that operate in crisis action/crisis planning mode Logistics Systems Analysis and Design Project #UA06/07-AFRL University of Arkansas

14. 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 To quantify the costs of inventory record inaccuracy and misplaced SKU’s at the store and system level To develop process improvement recommendations for the store and distribution centers to improve in-store inventory record accuracy • -Set of departments and items that impact the inventory accuracy was found. • -Correcting the problematic SKUs via PIRS provides approximately 10% accuracy, 30% discrepancy improvements and significant savings for the total supply chain costs. Utilizing PIRS generates approximately $500,000 in savings. (carrying excess inventory, additional transportation and labor cost, inappropriate replenishment decisions, stock-out). • -The consistent use of the p-chart will provide statistically valid knowledge of store performance in view of perpetual inventory record accuracy • Two M.S. Theses in Process Current inventory accuracy levels within departments and stores are identified. A standard procedure is developed to identify the most prevalent SKUs and departments that have consistently poor inventory record accuracy. The SPC approach (use of p-chart) is used to monitor the quality of sample size. Industry best practice for ensuring inventory record accuracy is recommended. Quantifying the effect of inaccurate records and the costs/benefits of improving inventory record accuracy. -Data mining sampling techniques for large-scale inventory systems. -A process has been developed known as Perpetual Inventory Record Sampling (PIRS), which utilizes both control group sampling and statistical process control to track and maintain inventory record accuracy. -The use of the p chart provides a practically feasible approach to monitoring inventory record accuracy Project #UA06-WM Logistics Systems Analysis and Design University of Arkansas

15. Large-Scale Workforce Training Schedule for Logistics Skills Sponsor: Naval Surface Warfare Center, Crane, INPrincipal Investigator: Gail DePuyResearch Team: John Usher, Allison Douglas Logistics Systems Analysis and Design University of Louisville UL05-03 Crane

16. Material Flow Design & Improvement

17. Photocatalytic Degradation of TrinitrotolueneSponsor: U.S. Army Defense Ammunition CenterPrincipal Investigator: Dr. H. James Harmon Research Team: Chemical, Biological and Energetic Agent Research Group, Oklahoma State University The purpose of this research is to devise process systems to demilitarize growing stockpiles of out-of-specification munitions using a green technology. With the formulation of the catalyst complete, focus has been shifted to integration of the sensor suite with the command and control system which can be operated remotely via the internet. 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 or other hazardous materials The integration of the photocatalyst and a transportable remote monitoring station allows for offsite monitoring, command and control of the system. Due to the configurable nature of the solar array, different photocatalysts can be used for a myriad of problematic substances requiring onsite disposal. Remediation technology is mobile and can be controlled remotely. Monitoring Station & Array Material Flow Design and Improvement Project #OSU07-DAC Oklahoma State University

18. Performance Testing for PBSY and RBD Cottonseed Oils Blended with Biodiesel Methyl-estersPrincipal Investigator: Terry Collins, PhD, PEResearch Team: James Simonton, PhD, Keith Jones, Andrew Schwab • Performance testing of RBD and PBSY cottonseed oils • Analyze gas emissions • Study the particulate matter composition The test runs are complete and the analysis of the data is underway. Preliminary results indicate a significant difference between biodiesel blend amounts tested at a high horsepower load. • Performance testing using 1800 RPM at a low (20HP) and High Load • Used B2, B5, B10, and B20 methyl-ester blends • Used two typed of cottonseed oil: Refined Bleached Deodorized (RB), and Pure Bleached Summer Yellow (PBSY) Material Flow Design and Improvement Texas Tech University Project # TT06/07 – NCPA/I

19. Economic Feasibility of Cottonseed Oil Based BiodieselPrincipal Investigator: Terry Collins, PhD, PECo-Principal Investigator: James Simonton, PhD Research Team: Josh Jones The development of a comprehensive cost model for a biofuel distribution system is underway and near completion. Biofuel production system requirement testing is complete and is in the analysis stage. The objective of this project is to explore the cost feasibility of creating a biodiesel operation utilizing cottonseed oil from marketing, logistics, and manufacturing aspects. • Market Related: determine the most economically feasible distribution area for selected manufacturing locations. • Logistics: determine the most economical mode of transportation for raw materials and finished products. • Manufacturing: investigate the most efficient type of cottonseed oil used for biofuel production. Material Flow Design and Improvement Texas Tech University Project # TT07 – ICRC

20. Supply Chain Modeling

21. NAMP: System under study Recommended Forecasting Policy Chart Benefit of Chart: Percentage improvement in MAD Performance Evaluation of Intermittent Demand Forecasting Techniques Principal Investigator: Manuel D. Rossetti, Ph.D., P.E. Research Student: Vijith Varghese Supply Chain Modeling University of Arkansas Project # UA04-NAVSUP

22. Inventory, Distribution and Value-Added Activities AnalysisSponsored by: N. Glantz and SonPrincipal Investigator: Gerald W. Evans Research Team: Gail DePuy, John Usher Supply Chain Modeling Project # UL05-GLTZ University of Louisville

23. Intelligent Systems

24. Demilitarization Knowledge Management Application for Transitioning the Ammunition StockpileSponsor: Defense of Ammunition CenterPrincipal Investigator: Kurt Gramoll Continue to develop and implement an Internet-based knowledge management system to assist in the construction, maintenance and data retrieval for ammunition technology trees used in the demilitarization process. Graphical, Internet-based, application that dynamically constructs process trees for the decomposition of ammunition. Investigate new graphic methods with Flash and Flex software development tools for building rich internet applications. Rewrite Flash actionscript code and convert server scripts from ASP to ASP.NET 2.0. Enhance database organization to allow groups to control proprietary technology trees. Develop new management controls to reduce maintenance time and cost. Methods developed can be used for other processes that involve complex decision trees. Software methods and algorithms can be used for other tree-based process systems. University of Oklahoma School of Aerospace and Mechanical Engineering Intelligent Systems OU07-DAC 1 & 2

25. PI: Dr.Yunjun Xu University of Oklahoma Students: Puneet V and Erich Ritz DAC: Kenneth D. Adkins Defense Ammunition Center WEIGHTESTIMATORDATABASE DRIVEN 3D MODELER RESEARCHGOALS A new graphical system for 3D shapes visualization and weight characterization TECHNICALAPPROACH SIGNIFICANT RESULTS • 10 Working shapes added to the 3D engine. • A new and improved 3D engine for Flash MX • A better web based visualization system • 3D Visualization and its scaling fixed. • The webpage was rearranged to add new fields and combo boxes. GRAPHICS • Data abstraction carried out to make code more efficient and more easily readable. • Units made flexible now, any combination of units gives the same result. • Printable view printing function added to the page • Work in progress to improve the already functional coating feature, by having a coating material list. Micro Space Vehicle Lab Intelligent Systems Project #OU07-DAC3D

26. Evaluation of RFID Technology and Fielded Ground Radar SystemsSponsor: FAA Logistics CenterPrincipal Investigator: Glenn Kuriger, PhDResearch Team: Hank Grant, PhD and Kitti Setavoraphan Determine whether RFID could interfere with fielded ground radar systems and associated equipment. Also Determine whether RFID can function properly in the presence of the fielded ground radar systems and associated equipment. The testing phase of the project has just begun. The most significant result thus far is the development of the RFID Methodology and Test Protocol. The first phase of the project is the development of an RFID Methodology and Test Protocol. The second phase involves testing to evaluate if interference could occur. This includes testing both in a controlled environment and on-site. The final phase involves analyzing the results and making recommendations for implementation. Include color picture or graphic. RFID is an important means to identify and track various parts and components. However, it is vital that its implementation not cause interference that could negatively impact the overall system. Intelligent Systems University of Oklahoma Project # OU07-FAA

27. Multi-Item Load Building Tool for ContainersSponsor: TSM Corporation/US Army DACPrincipal Investigator: M. C. Altan, Ph.D. Research Team: B. M. Pulat, Ph.D. and Z. Siddique, Ph.D. Develop a web-based tool to help DOD ammunition transporters transport various load configurations with minimum number of containers. The project just started. Review existing process Research and capture all requirements Develop packing algorithms Develop web-based interactive tool Test and implement In addition to ammunition transport, the web-based tool developed can be used for similar applications elsewhere. Intelligent Systems University of Oklahoma Project #OU07-TSM/DAC

28. Economic and Technical 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) Intelligent Systems University of Arkansas Project # UA06-RRAD

29. LIFE forms SAMPLE