This preliminary program is subject to change.

Planning and Scheduling


Description:
Papers are invited in the general area of planning and scheduling of manufacturing processes. Planning and scheduling are key decision-making activities that vary in scope from the operational (day) and tactical (week) level, to the strategic (month/year) level. Despite the significant progress in this area in the last decade, many industrial problems still remain open. Areas of interest in this session include (but are not limited to): (i) novel modeling and optimization strategies for planning and scheduling of batch and continuous plants, (ii) integration of planning and scheduling in a unified framework, (iii) technologies for the analysis and visualization of planning and scheduling solutions in the context of enterprise-level decision making, (iv) novel incorporation of modeling uncertainty into planning and scheduling from plant operations and project management to the extended supply chain and (v) successful large-scale applications of new planning and scheduling methodologies. Application papers offering insights into the interaction between theory and practice in an industrial setting are particularly encouraged.

Sponsor:
Computers in Operations and Information Processing


Chair:
Ramkumar Karuppiah
Sr. Researcher
ExxonMobil
Annandale, NJ 08801
Phone Number: 908-730-2053
Email: ramkumar.karuppiah@exxonmobil.com

Co-Chair:
Stacy L. Janak
Sr. Software Developer
Aspen Technology
2500 CityWest Blvd - Suite 1500
Houston, TX 77042
Phone Number: 281-584-1928
Email: stacy.janak@aspentech.com


Papers:
Extensions to the Resource-Task Network
Jeff Ferrio, Dow Chemical Company; John Wassick, Dow Chemical Company
A General Framework for Chemical Process Scheduling
Arul Sundaramoorthy, University of Wisconsin Madison; Christos T. Maravelias, University of Wisconsin - Madison
A Novel Technique for Prediction of Time Points in Scheduling of Multipurpose Batch Plants
Esmael Reshid Seid, University of Pretoria; Thokozani Majozi, University of Pretoria
Optimizing Production Planning Using High Performance Computing
Dimitrios Varvarezos, Aspen Technology, Inc.
On the Solution of Batch Process Scheduling MIP Models
Arul Sundaramoorthy, University of Wisconsin Madison; Christos T. Maravelias, University of Wisconsin - Madison
Rolling Horizon Based Planning and Scheduling Integration with Production Capacity Consideration
Zukui Li, Rutgers University; Marianthi Ierapetritou, Rutgers University
See more of this Group/Topical: Computing and Systems Technology Division