Research

This project researches an optimal pipe routing path algorithm and develops an approach for segmenting operations into "suboperations" to improve optimization model tractability.

The main goal of this proposed research project is to develop more effective inventory control models for situations involving intermittent highly variable demand and to ensure that planned for target service levels are actually met during operational conditions when using existing inventory models.

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

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

This project attempts to develop a working tool to optimize the type of equipment meant for a specific process

The objective of this project is to increase asset utilization and efficiency, optimize assignment to jobs, develop an optimization model to model backup requirements for equipment failures, and robust assignments to jobs.

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 […]

Sponsor: Federal Aviation Administration Logistics Center Research Team: Glenn Kuriger, Kitti Setavoraphan, Hank Grant Universities Involved: University of Oklahoma Start Date: 11/16/06 End Date: 05/15/07 Summary: Provide valuable data and information on the spurious emission levels of radio frequency identification (RFID) technology and the possible effect on fielded ground radar […]

The objective of this project is to optimize both warehouse management and transportation management systems in supply chain (SC) execution.

This project develops a customizable installation logistics and training tool for a process

Sponsor: National Science Foundation Research Team: Manjunath Kamath Universities Involved: Oklahoma State University Start Date: NA End Date: NA Summary: In this project, the participating teacher, Mr. Thomas, would work closely with PI Kamath and co-PI Balasundaram on mathematical models for engineering problems in transportation, distribution and logistics (e.g., flow […]

Warehouses operate better when the forward picking area is sized appropriately. In this project we developed analytical models to estimate the best size of the forward picking area in a Medline warehouse.

This project studies and determines the capability and feasibility of a modular pallet system from project OU3-DAC2.

This project examines the inventory issues involved in determining stock positioning strategies in a multi-indenture system.

This project addressed the taxonomy, hierarchy, and document structure for business processes and procedures.

This project models and analyzes a cellar tank pipe network and works to determine the optimal routing path.

This project conducted a survey that aimed at identifying how the different companies in an area manage their logistics, as well as, to identify best practices and areas for improvement.

The objective of this project is to enhance the procurement accuracy for miscellaneous small parts in an MRO system

This project analyzes a current process, researches an optimal solution algorism, and develops operations to improve optimization.

Sponsor: National Science Foundation Research Team: Timothy Matis Universities Involved: Texas Tech University Start Date: 01/01/08 End Date: 12/31/08 Summary: Presently, a large percentage of cotton that is produced in this region is ginned and then shipped to Fort Worth, Texas where it is warehoused prior to shipping, often in […]

Sponsor: National Science Foundation Research Team: Timothy Matis Universities Involved: Texas Tech University Start Date: 01/01/08 End Date: 12/31/08 Summary: A MANET is a multihop wireless network in which mobile nodes communicate without the support of existing infrastructure. In this network, each node has the capability of being a source, […]

Sponsor: Cotton Incorporated Research Team: Terry R. Collins, Joshua P. Jones, James L. Simonton, Lisa Patviviatisiri, Tosanwumi Maku Universities Involved: Texas Tech University Start Date: 01/01/06 End Date: 12/31/06 Summary: The objective of this project is to create a representative cost model that can be used in later work to […]

Daily deliveries from the regional distribution center (RDC) network exhibit variation that makes it difficult to effectively schedule labor (minimize over/understaffing). Therefore we were motivated to consider changing the trailer release and delivery process and/or forecasting method that informs scheduling. These considerations also helped us to appreciate tradeoffs between store service and transportation cost.

Sponsor: Wal-Mart Stores, Inc. Research Team: Justin R. Chimka, Lindsey C. Walker, Edward A. Pohl Universities Involved: University of Arkansas Start Date: 01/01/07 End Date: 12/31/08 Summary: This project implements a Bin Location Systems at Wal-Mart that allows for better inventory control and management, increases visibility of inventory from backdoor […]