2010

• Colvin M, Maravelias CT. Modeling Methods and a Branch and Cut Algorithm for Pharmaceutical Clinical Trial Planning Using Stochastic Programming. European Journal of Operational Research, 203, 205-215, 2010.
  (DOI: http://dx.doi.org/10.1016/j.ejor.2009.07.022).

2009

• Maravelias CT, Sung C. Integration of Production Planning and Scheduling: Overview, Challenges and Opportunities. Computers & Chemical Engineering, 33 (12), 1919-1930, 2009.
  (DOI: http://dx.doi.org/10.1016/j.compchemeng.2009.06.007).
• Maravelias CT, Papalamprou K. Polyhedral Results for Discrete-time MIP Formulations for Scheduling and Production Planning. Computers & Chemical Engineering, 33(11), 1890-1904, 2009.
  (DOI: http://dx.doi.org/10.1016/j.compchemeng.2009.05.015).
• Sung C, Maravelias CT. A Projection-Based Method for Production Planning of Multiproduct Facilities. AIChE J, 55 (10), 2614-2630, 2009.
  (DOI: http://dx.doi.org/10.1002/aic.11845).
• Gimenez DM, Henning G, Maravelias CT. A Novel Network-based Continuous-time Representation for Process Scheduling: Part II. Integrated Framework. Computers & Chemical Engineering. 33(10), 1644-1660, 2009.
  (DOI: http://dx.doi.org/10.1016/j.compchemeng.2009.04.013).
• Gimenez DM, Henning G, Maravelias CT. A Novel Network-based Continuous-Time Representation for Process Scheduling: Part I. Main Concepts and Mathematical Formulation. Computers & Chemical Engineering, 33 (9), 1511-1528, 2009.
  (DOI: http://dx.doi.org/10.1016/j.compchemeng.2009.03.007).
• Ferris MC, Maravelias CT, Sundaramoorthy A. Simultaneous Batching and Scheduling Using Dynamic Decomposition on a Grid. INFORMS Journal on Computing, 21 (3), 398-410, 2009.
  (DOI: http://dx.doi.org/10.1287/ijoc.1090.0339).
• Sundaramoorthy A, Maravelias CT, Prasad P. Scheduling of Multi-stage Batch Processes under Utility Constraints. Industrial & Engineering Chemistry Research, 48 (13), 6050-6058, 2009.
  (DOI: http://dx.doi.org/10.1021/ie801386m).
• Colvin M, Maravelias CT. Scheduling of Testing Tasks and Resource Planning in New Product Development Using Stochastic Programming. Computers & Chemical Engineering, 33 (5), 964-976, 2009.
  (DOI: http://dx.doi.org/10.1016/j.compchemeng.2008.09.010).

2008

• Colvin M, Maravelias CT. A Stochastic Programming Approach for Clinical Trial Planning in New Drug Development. Computers & Chemical Engineering, 32(11), 2626-2642, 2008.
  (DOI: http://dx.doi.org/10.1016/j.compchemeng.2007.11.010).
• Sundaramoorthy A, Maravelias CT. Modeling of Storage Constraints in Batching and Scheduling of Multi-stage Processes. Industrial & Engineering Chemistry Research, 47 (17), 6648-6660, 2008.
  (DOI: http://dx.doi.org/10.1021/ie701737a).
• Prasad P, Maravelias CT. Batch Selection, Assignment and Sequencing in Multistage Processes. Computers & Chemical Engineering, 32 (6), 1114-1127, 2008.
  (DOI: : http://dx.doi.org/10.1016/j.compchemeng.2007.06.012).
• Sundaramoorthy A, Maravelias CT. Simultaneous Batching and Scheduling in Multi-stage Multi-product Processes.  Industrial & Engineering Chemistry Research, 47 (5), 1546-1555, 2008.
  (DOI: http://dx.doi.org/10.1021/ie070944y).
• Sung C, Maravelias CT. A Mixed-Integer Programming Formulation for the General Capacitated Lot-sizing Problem. Computers & Chemical Engineering, 32(1), 244-259, 2008.
  (DOI: http://dx.doi.org/10.1016/j.compchemeng.2007.05.001).

2007

• Sung C, Maravelias CT. An Attainable Region Approach for Effective Production Planning of Multi-product Processes. AIChE J., 53 (5), 1298-1315, 2007.
  (DOI: http://dx.doi.org/10.1002/aic.11167).

2006

• Prasad P, Maravelias CT, Kelly J. Optimization of Aluminum Smelter Casthouse Operations. Industrial & Engineering Chemistry Research, 45 (22), 7603-7617, 2006.
  (DOI: http://dx.doi.org/10.1021/ie060652h).
• Maravelias CT. A Decomposition Framework for the Scheduling of Batch Processes. Computers & Chemical Engineering, 30 (3), 407-420, 2006.
  (DOI: http://dx.doi.org/10.1016/j.compchemeng.2005.09.011).
• Maravelias CT, Grossmann IE. On the Relation of Continuous and Discrete Time Models for the State-Task Network Formulation. AIChE J., 52 (2), 843-849, 2006.
  (DOI: http://dx.doi.org/10.1002/aic.10684).

2005

• Maravelias CT. Mixed Time Representation for State-Task Network Models. Industrial & Engineering Chemistry Research, 44 (24), 9129-9145, 2005.
  (DOI: http://dx.doi.org/10.1021/ie0500117).

2001 - 2004

• Maravelias CT, Grossmann IE. A Hybrid MIP/CP Decomposition Approach for the Short Term Scheduling of Multipurpose Plants.  Computers & Chemical Engineering, 28, 1921-1949, 2004.
  (DOI: http://dx.doi.org/10.1016/j.compchemeng.2004.03.016).
• Maravelias CT, Grossmann IE.  Optimal Resource Investment and Scheduling of Tests for New Product Development. Computers & Chemical Engineering, 28 (6-7), 1021-1038, 2004.
  (DOI: http://dx.doi.org/10.1016/j.compchemeng.2003.09.019).
• Maravelias CT, Grossmann IE. Using MILP and CP for the Scheduling of Batch Chemical Processes. Lecture Notes on Computer Science, 3011, 1-20, 2004.
• Maravelias CT, Grossmann IE. Minimization of Makespan with Discrete-Time State Task Network Formulation. Industrial & Engineering Chemistry Research, 42 (24), 6252-6257, 2003.
  (DOI: http://dx.doi.org/10.1021/ie034053b).
• Maravelias CT, Grossmann IE. New Continuous-Time State Task Network Formulation for the Scheduling of Multipurpose Batch Plants. Industrial & Engineering Chemistry Research, 42 (13), 3056 – 3074, 2003.
  (DOI: http://dx.doi.org/10.1021/ie020923y).
• Maravelias CT, Grossmann IE. Simultaneous Planning for New Product Development and Batch Manufacturing Facilities. Industrial & Engineering Chemistry Research, 40 (26), 6147-6164, 2001.
  (DOI: http://dx.doi.org/10.1021/ie010301x).