CHARLES R. SOX

Roll Tide!

University Chair of Manufacturing Management

Director of Management Science and Operations Management

Professor of Management Science

 

University of Alabama
College of Commerce and Business Administration

Department of Information Systems, Statistics, and

        Management Science

Box 870226
Tuscaloosa, AL 35487-0226

343 Alston Hall

Phone: (205)348-8992 
Fax: (205)348-0560 
csox@cba.ua.edu


Contents

Education

Ph.D., 1992, Cornell University, Operations Research
M.S., 1991, Cornell University, Operations Research
B.S., 1988, Furman University, Mathematics

Experience

  2004 - Present: Director of Management Science and Operations Management Programs, University of Alabama
 

2002 - Present:

University Chair of Manufacturing Management and

Professor of Management Science, University of Alabama
 

1997 - 2002:

Associate Professor, Industrial and Systems Engineering, Auburn University.

 

1992 - 1997:

Assistant Professor, Industrial and Systems Engineering, Auburn University.
 

1991 - Present:

Consultant, Supply Chain Management, Production and Inventory Control Systems.

Editorial Experience

 

1998 - Present:

Associate Editor, Management Science
 

1996 - Present:

Editorial Board, Manufacturing & Service Operations Management
 

1996 - 2002:

Associate Editor, IIE Transactions

Courses

OM 300 Introduction to Operations Management

OM 321 Production Planning and Control

OM 423 Inventory Management

MGS 517 Supply Chain Operations Management

MGS 523 Inventory Management

MGS 536 Network Analysis and Dynamic Programming

MGS 597 Management Science Research Seminar

Research Areas

Supply Chain Planning and Analysis, Production Planning and Control, Inventory Control, Production Systems Design

Research Summary

My research focuses on production planning and inventory control under demand uncertainty.  My current work deals with problems in which the demand process is non-stationary and information about this process is gathered over time to estimate its distribution.  I am also very interested in production and inventory planning in the context of supply chains.

Projects

Milliken Specialty Industrial Supply Chain Planning, Milliken & Co., 1999.

Adaptive Inventory Control for Partially Observed, Non-Stationary Demand,
National Science Foundation, Grant Number DMI-9813127, 1999-2002.

Milliken Specialty Industrial Inventory Study, Milliken & Co., 1998.

Optimization Models and Procedures for Stochastic Production Scheduling,
Auburn University College of Engineering GRA Award, 1996-1998.

Dynamic Planning and Scheduling for Production and Distribution Systems with Random Demand and Finite Capacity,
National Science Foundation Research Initiation Award, DMI-9409344, 1994-1998.

Applications of Research in Production Planning and Inventory Control for the Pulp and Paper Industry,
Auburn Pulp and Paper Education and Research Center, 1995-96.

Grad Students

CURRENT:

 

Malini Natarajarathinam, MS (2002)

Amol Shambharkar, MS (2002)

Alan Lewis, MISE (2003)

Rick Lloyd, MISE (2004)

 

COMPLETED:

 

Krishna Vinjamuri, MS (2001)

 

Srinivas Kambhamettu, MS (2000)
    Srini's research interest is in supply chain planning and scheduling.  He worked as an intern last
    summer with i2 Technologies in Dallas, Texas.
 

Jim Treharne, PhD (1999)


    Adaptive Inventory Control for Non-Stationary Demand with Partial Information
    Jim is currently a LTC in the U.S. Army stationed at Ft. Leavenworth, Kansas in the
    TRADOC Analysis Center.
 

Yubo Gao, PhD (1998)


   Models and Algorithms for Multi-Item Dynamic Lot Sizing Problems with Complex Setup Structures
    Yubo is a professor in the Economic Management Department at the Hebei Institute of Technology
    in Tangshan, Hebei, P.R.C.
 

Isaac Chemmanam, MS (1998)


   Procedures for Stochastic Production Planning and Scheduling
    Isaac is working as a consultant for PricewaterhouseCoopers based out of Atlanta, Georgia.

 

Publications

Treharne, J. T. and C. R. Sox (1999), "Models and Methods for Adaptive Inventory Control," Under review for Naval Research Logistics..

Treharne, J. T. and C. R. Sox (2002), "Adaptive Inventory Control for Non-Stationary Random Demand," Management Science, 48(5), 607-624.

Sox, C. R., P. L. Jackson, R. A. Bowman, and J. A. Muckstadt (1999), "A Review of the Stochastic Lot Scheduling Problem,"  International Journal of Production Economics, 62, 181-200.

Sox, Charles R. and Yubo Gao (1999),"The Capacitated Lot Sizing Problem with Setup Carry-Over,'' IIE Transactions, 31, 2, 173-181..

Sox, Charles R. and John A. Muckstadt (1997), ``Optimization-Based Planning for the Stochastic Lot Scheduling Problem,'' IIE Transactions, 29, 5, 349-357.

Sox, Charles R. (1997),``Dynamic Lot Sizing with Random Demand and Non-stationary Costs,'' Operations Research Letters, 20, 4, 155-164.

Sox, Charles R., L. Joseph Thomas, and John O. McClain (1997), ``Coordinating Production and Inventory to Improve Customer Service,'' Management Science, 43, 9, 1189-1197.

Sox, Charles R. and John A. Muckstadt (1996), ``Multi-Item, Multi-Period Production Planning with Uncertain Demand,'' IIE Transactions, 28, 11, 891-900.  Code.

Sox, Charles R. (1995), ``Computational Results for a Decomposition Algorithm for Stochastic Production Planning and Scheduling,''. Auburn University Dept. of Industrial Engineering Technical Report No. 95-02.

Sox, Charles R. (1994), ``A Heuristic for Stochastic Production Planning,''Proceedings of the Third Industrial Engineering Research Conference.

McClain, John O., L. Joseph Thomas, and Charles R. Sox (1992), `` `On-the-Fly' Line Balancing with Very Little WIP,'' International Journal of Production Economics accepted by JMOM, 27, 283 - 289.

Interesting and Informative Pages

Revised 9 June 2004