Industrial Engineering

Enterprise Logistics Laboratory

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The Enterprise Logistics Laboratory (ELL), located at N382, Engineering Building 1, is the latest addition to the Department of Industrial Engineering computing facilities. It mainly caters to the IE graduate students, researchers and faculty. ELL aims at facilitating research and teaching in the IE department. The laboratory is equipped with state-of-the-art computational tools featuring a high volume printer, 14 workstations including a set of general purpose software and statistics, optimization, and simulation packages such as OplStudio/CPLEX, SAS, Arena, Matlab, and Visual Studio supported by both LINUX and Windows operating systems.

 

Mission:

To provide researchers at the University of Houston with appropriate equipment and software to develop analytical tools, algorithms and heuristics that can advance the knowledge on the design and management of enterprise logistics and enhance the practice of supply chain management.

 

Vision/Objective:

  • Fostering research in enterprise logistics within the IE department.
  • Promoting collaborative projects with local industry partners.
  • Providing IE graduate students with state-of-the-art computation facility.
  • Offering an adequate teaching environment for IE professors.

 

People:

Faculty:

  • Maher Lahmar , Ph.D. (University of Minnesota)
  • Tiravat Assavapokee, Ph.D. (Georgia Institute of Technology)

Students:

  • Ronny George, Ph.D. student
  • Nilesh Kulkarni, Ph.D. student
  • Wayuparb Pantanat, Ph.D. student
  • Sylvana Saudale, Ph.D. student

 

Selected Working Papers:

  • Tiravat Assavapokee and Ronny George. A New Solution Methodology for Min-Max Regret Robust Solution for Interval Data Uncertainty using Benders’ Decomposition and Generalized Benders’ Decomposition Algorithms. Working Paper, 2005.
  • Tiravat Assavapokee. A New Solution Methodology for Two-Stages Min-Max Regret Robust Optimization for Large Scale Mixed Integer Linear Program under Interval and Discrete Data Uncertainty. Working Paper, 2005.
  • Tiravat Assavapokee. A New Min-Max Relative Regret Robust Optimization Approach for Large Scale Full Factorial Scenario Design of Data Uncertainty. Working Paper, 2005.
  • Dodig M. and M. Lahmar, “The Impact of Demand Variability on Vehicle Routing Selection,” working paper.
  • Modi C. and M. Lahmar, “A New Solution Approach to Solve for the TSPTW,” working paper.
  • Lahmar M. and N. Kulkarni, “Optimal Swapping and Production Policies for a Make-to-Stock System,” working paper.
  • Lahmar M. and S. Saudale, “The Value of Information in Vendor Distributed Management,” working paper.

 

Selected Publications:

  • Tiravat Assavapokee, Jane Ammons, Matthew Realff. A New Min-Max Regret Robust Optimization Approach for Large Scale Full Factorial Scenario Design of Data Uncertainty. Submitted for Publication in Operation Research, 2005.
  • Tiravat Assavapokee, Jane Ammons, Matthew Realff. A New Min-Max Regret Robust Optimization Approach for Interval Data Uncertainty. Under Review by Journal of Global Optimization, 2005.
  • Tiravat Assavapokee, Jane Ammons, Matthew Realff. A Scenario Relaxation Algorithm for Finite Scenario Based Min-Max Regret and Min-Max Relative Regret Robust Optimization. Under Review by European Journal of Operational Research, 2005.
  • Tiravat Assavapokee, I-Hsuan Hong, Jane Ammons and Matthew Realff. Methodological Tools and Insights for Strategic Reverse Production System Design. Proceeding of the 2004 National Science Foundation DMII Grant Meeting, Dallas, Texas, January 2004.
  • Lahmar, M. and S. Benjaafar, “Design of Dynamic Distributed Layouts, ” IIE Transactions, 37, 303-318, 2005 (Featured article in Industrial Engineer magazine). Sabuncuoglu, I. and M. Lahmar, “An Evaluative Study of Operation Grouping Policies in an FMS,” International Journal of Flexible Manufacturing Systems, 15, 3, 217-239, 2003.
  • Lahmar, M., H. Ergan and S. Benjaafar, “Resequencing and Feature Assignment on an Automated Assembly System,” IEEE Transactions on Robotics and Automation, 19, 1, 89-102, 2003.
  • Jane Ammons, Tiravat Assavapokee, Reema Bhakta, Devon Oudit, Matthew Realff, and Juan Martín Vannícola. Robust Infrastructure Design For Reverse Production Systems International Conference on Supply Chain Management Beijing, China, August 2002.
  • Lahmar, M., H. Ergan and S. Benjaafar, “Extended abstract: Resequencing and Feature Assignment on a Moving Assembly Line,” Manufacturing and Service Operations Management, 3, 1, 7-9, 2001 (Finalist for M&SOM Best Student Paper Award)