Research

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

This project analyzes the statistical, performance and economic advantages of using automatic identification technology (AIT).

The objective of this project is to document current supply chain activities, flow patterns and resources to develop an enhanced material handling and distribution activity, which can be used to proliferate best practices.

Sponsor: National Science Foundation Research Team: Ricki Ingalls Universities Involved: Oklahoma State University Start Date: 08/01/07 End Date: 12/31/08 Summary: In recent years, retail and manufacturing companies have started exploring innovative revenue management techniques in an effort to improve their operations and ultimately the bottom line. Firms are employing methods […]

This project develops a software that synchronizes product design and supply chain design

Sponsor: Oklahoma Department of Transportation Research Team: Rick Ingalls, Manjunath Kamath Universities Involved: Oklahoma State University Start Date: 08/01/08 End Date: 07/31/11 Summary: This new research effort converts the more basic Freight Movement Model (FMM) research components into more applied research tools for transportation professionals and decision makers. The decision […]

The IE Challenge provides an opportunity for middle school and high school students to learn about industrial engineering.

The IE Challenge provides an opportunity for middle school and high school students to learn about industrial engineering.

This project iscusses the challenges related to traditional demand management techniques, motivates the relevance of the data-driven approach to address these issues, and provides a high-level description of the solution tools implemented in this project.

Sponsor: National Science Foundation Research Team: Sunderesh Heragu Universities Involved: University of Louisville Start Date: 08/01/08 End Date: 07/31/09 Summary: Two new key technologies are becoming increasingly implemented in many manufacturing and distribution companies. Although the first technology, radio frequency identification (RFID), is based on principles that have been applied […]

This project develops time sereis models to conduct forecasts, develops regression models and conducts simulation models of a process.

The objective of this project was to develop a mathematical model, which captures key aspects of a simple consolidation strategy and provides foundations for more sophisticated strategies.

Sponsor: CELDI Research Team: Rick Ingalls Universities Involved: Oklahoma State University Start Date: 08/01/10 End Date: 08/01/11 Summary: See project CDP10-SCNS

This project proposes to develop a quarterly Index to be known as the CELDi/CAPS Index that will track the availability and utilization of transportation capacity. The aim of the index is to monitor trends in the overall supply chains of different industry segments.

Developing innovative 6th-7th grade curriculum materials that integrate engineering problems

Sponsor: National Science Foundation Research Team: Sarah Root Universities Involved: University of Arkansas Start Date: 08/01/09 End Date: 12/31/10 Summary: According to a report by the National Coalition on Health Care (www.nchc.org/facts/cost.shtml) healthcare spending in the United States was $2.4 trillion in 2007. This equates to $7,900 per person and […]

The objective of this project is to design a dashboard tool to help guide new Green Belts through the LSS DMAIC process and allow Project Managers to track the sustained effectiveness of events

The main goal of this research project is to investigate and develop methods that allow target service levels (e.g. fill rate, ready rate) to be met for planned inventory policies and lot-sizing rules using retrospective or bootstrapping based simulation procedures.

Sponsor: National Science Foundation Research Team: Kimberly Ellis Universities Involved: Virginia Tech Start Date: 08/01/08 End Date: 05/31/09 Summary: CELDi researchers at Virginia Tech will collaborate with Special Education teachers in the Montgomery County Public School (MCPS) System to redesign a task in an existing distribution center so that it […]

This project adresses issues concerning warehouse client space allocation

This project's objective is to investigate and develop improved inventory approaches for a complex, multi-stage, in sourced and outsourced production distribution environment. This is segmented in many ways depending on time available, data available, and resources available.

This project respnds to volatile demand for products, the need for innovative products and exceptional customer service, and the transformation of supply chain

Development of tools and algorithms to automate current production planning approaches at BioMarin, and to optimize the parameters of those approaches.

The objective of this project is to develop a comprehensive selective maintenance model that considers multiple systems and allows for the planning horizon to expand and to incorporate important concepts such as component aging, imperfect maintenance, cannibalization and workforce shaping into the new selective maintenance models

This project integrates a three-dimensional bin packing problem and a mode selection problem in the international consolidation context. The objective is to minimize the total costs involved in the global supply chain, including ocean container costs, handling costs, Truckload (TL) and Less-than-truck (LTL) costs.