733 Planning and Scheduling I


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:
Xiang Li
Queen's University
Chemical Engineering
Kingston, ON
K7L3N6
Email: xiang.li@queensu.ca

Co-Chair:
Pedro M. Castro
Researcher
Faculdade de Ciências, Universidade de Lisboa
Centro de Matemática Aplicações Fundamentais e Investigação Operacional
Lisbon
Email: pmcastro@fc.ul.pt


Papers:
Optimal Scheduling of Multiproduct Liquid Pipelines with Reversible Flow
Pedro M. Castro, Faculdade de Ciências, Universidade de Lisboa
Combining the Strengths of Continuous and Discrete Time Representations: A General Solution Refinement Method for Discrete-Time MIP Models
Hojae Lee, University of Wisconsin-Madison; Christos T. Maravelias, University of Wisconsin-Madison
A New Approach for Scheduling of Operations in Scientific Services Facilities Via Multi-Commodity Flow
Nikolaos Rakovitis, University of Manchester; Jie Li, The Univesirity of Manchester; Nan Zhang, University of Manchester
An Integrated Chemical Site Planning and Scheduling Framework---Model and Algorithm
Sreekanth Rajagopalan, Carnegie Mellon University; Satyajith Amaran, The Dow Chemical Company; Nick Sahinidis, Carnegie Mellon University; Scott J. Bury, The Dow Chemical Company
Scheduling of Distributed Chemical and Renewable Power Production with Regulated Energy Exchange
Andrew Allman, University of Minnesota, Twin Cities; Michael Zachar, University of Minnesota; Prodromos Daoutidis, University of Minnesota, Twin Cities
Robust Refinery Planning Under Exogenous and Endogenous Uncertainty
Dimitrios Varvarezos, Aspen Technology, Inc.
LP Reformulation to Approximate Non-Convex Blending in MILP Scheduling Problems Using Factors
Brenno C. Menezes, University of São Paulo; Jeffrey D. Kelly, Industrial Algorithms; Ignacio E. Grossmann, Carnegie Mellon University
Linear Surrogate Dynamical Models for Embedding Process Dynamics in Optimal Production Scheduling Calculations
Morgan Kelley, The University of Texas at Austin; Richard Pattison, The University of Texas at Austin; Ross Baldick, The University of Texas at Austin; Michael Baldea, The University of Texas at Austin
Abstract Submissions Closed
See more of this Group/Topical: Computing and Systems Technology Division