Summary: Quantitative Models for Inventory and Production Planning in
Closed-Loop Supply Chains1
, and S. C¸etinkaya3
Submitted for publication.
Please Do Not Quote or Cite Without Permission of the Authors.
This research was supported by NSF Grants CMMI-0522960 and CMMI-0522980.
Corresponding author. Department of Industrial and Systems Engineering, University of Florida,
Gainesville, FL 32611-6595, email@example.com. Tel: 352-392-1464 ext. 2005. Fax: 352-392-3537.
Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX 77843-3131,
firstname.lastname@example.org. Tel: 979-845-5597 Fax: 979-847-9005.
Appendix: Summary of Work on I&PP
The existing works on deterministic I&PP models, reviewed in Section 4, are summarized in Tables
A.1, A.2, and A.3, whereas the stochastic I&PP models, reviewed in Section 5, are summarized in
Tables A.4 and A.5. In these tables, we identify the paper and the system setting in the first and second
columns, respectively. We list the decision variables for each model in the third column. We note that