Research

The objective of this project is to implement safety culture in a plant to operate as a high reliability organization.

Sponsor: National Science Foundation Research Team: Maria E. Mayorga Universities Involved: Clemson University Start Date: 05/15/08 End Date: 05/31/09 Summary: Through Clemson University, one teacher will learn about engineering logistics and production planning and its applicability to the Gateway to Technology program; an advanced science and “pre-engineering” curriculum for 6th […]

This project redevelops a mathematical modeling methodology to accurately adresses process issues, identifies policies for making cost-effective decisions and analyses policy impact on management of supply chain

This project researches practices on the supply chain of a process and develops a hybrid simulation/analytic model for evaluating logistic networks. This project expects to deliver recommended concerning which commercial practices to adopt to improve the process and reduce cost, and simulation models.

Sponsor: Defense Logistics Agency Research Team: Thomas L. Landers Universities Involved: University of Arkansas Start Date: 12/31/98 End Date: NA Summary:

The objective of this project is to perform a cost analysis on a process

This project analyzes the Material Requirements Planning System (MRP) of a process and develops mathematical-model-based policies to more effectively manage material supply processes

Sponsor: American Air Liquide Research Team: Kimberly Ellis Universities Involved: Virginia Tech Start Date: 01/19/09 End Date: 01/18/10 Summary: The purpose of this project is to evaluate the preferred size of tanks to allocate to customer sites (and also at production facilities and intermediate distribution centers) with the objective of […]

This project creates an IE competition amongst Junior High and High School students to stimualte the interest in the subject.

The objective of this project is to develop a software tool to facilitate generation of production schedules in a non-labor intensive fashion

The purpose of this project is to improve the efficiency of supply support to customers by examining the strategic, tactical, and operational effectiveness of the design and operation of a process.

Analysis of student data indicates, according to one definition of learning styles, that global learners respond more favorably to an online, open-ended learning environment than sequential learners. Industrial engineering students were observed before, during, and after engagement in an online forecasting module. Simple ordered logistic regression models of attitudes were found to be consistent functions of the extent to which students are considered to be global versus sequential learners. Furthermore, significance can be observed even when controlling for additional factors such as gender, other learning style dichotomies, preliminary confidence about forecasting knowledge, and problem solving performance.

Sponsor: CELDi Research Team: Scott J. Mason Universities Involved: University of Oklahoma Start Date: 11/15/03 End Date: 12/31/04 Summary: This research focuses on Supply/Value Chain “Best Practices” investigation and documentation after a segmentation of the topic into the following areas; supplier relations, transportation, inventory management, warehousing/distribution, customer relations, information technologies. […]

This project implements a Modular Pallet System in a process

This project is focused on developing an optimization model supporting the multi-stage decision-making of infrastructure investment and operation of the biomass logistics system.

Sponsor: U.S. Army Defense Ammunition Center Research Team: Cengiz Altan Universities Involved: University of Oklahoma Start Date: NA End Date: NA Summary: There is a need to develop better and more efficient algorithms and associated tools for loading pallets in the most economical method to allow accurate estimate of multi-modal […]

A profit maximization formulation of the make vs. buy (manufacture vs. outsource) decision in electronics manufacturing.

This project consists of the creation of an algorithm to improve production planning and inventory control models of a process.

This project analyzes retail store operations determining the workload requirements of store associates.

The objective of this project is to computerize a current manual process with a web-based tool to save significant time and preserve resources of this process.

We develop a methodology that estimates lost sales for a corporation. This project considers item level demand and sales at individual clubs, day of the week effects, and product margin to develop a lost sales estimate.

Sponsor: Intellione Research Team: Sunderesh Heragu Universities Involved: University of Louisville Start Date: 05/15/09 End Date: 05/14/10 Summary: The goal of the research is to determine how to use a cell phone based probe system to generate useful Origin – Destination (OD) matrices. The research question to be investigated is […]

The main goal of this research is to investigate and develop methods that will provide inventory analysts with better tools that can assess the trade-offs between cost, service, and risk within lean inventory systems. A literature review of the area was performed and metrics identified.

Future logistics systems must be: This project develops an adaptive and flexible logistic system that is able to s upport joint fighting force across services and with cross-organizational and cross-cultural capability. This project also develops technologies and processes that advocate a more dynamic logistics support system

Sponsor: CELDi Research Team: Satish Kukkapatnam, Vignesh Rajamani, Bradnon Lee Gardner, Jayjeet M. Govardhan, Andrew Contreras, Sharethram Hariharan Universities Involved: Oklahoma State University Start Date: 10/31/04 End Date: 11/01/05 Summary: Study of the origins of complicated patterns in sensor signals from manufacturing machines, processes, and specific infrastructure and lifeline systems […]