Mixed Integer Linear Programming in Process Scheduling: Modeling, Algorithms, and Applications

Christodoulos Floudas () and Xiaoxia Lin

Annals of Operations Research, 2005, vol. 139, issue 1, 162 pages

Abstract: This paper reviews the advances of mixed-integer linear programming (MILP) based approaches for the scheduling of chemical processing systems. We focus on the short-term scheduling of general network represented processes. First, the various mathematical models that have been proposed in the literature are classified mainly based on the time representation. Discrete-time and continuous-time models are presented along with their strengths and limitations. Several classes of approaches for improving the computational efficiency in the solution of MILP problems are discussed. Furthermore, a summary of computational experiences and applications is provided. The paper concludes with perspectives on future research directions for MILP based process scheduling technologies. Copyright Springer Science + Business Media, Inc. 2005

Keywords: chemical process scheduling; mixed-integer linear programming (MILP); discrete-time model; continuous-time model; branch and bound (search for similar items in EconPapers)
Date: 2005
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DOI: 10.1007/s10479-005-3446-x

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