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- W2582100044 abstract "Large number of papers has been published in the field of industrial batch process scheduling providing various approaches to support operation level decision making. Detailed reviews of the available methods are given by Floudas and Lin (2004), Mendez et. al (2006), and Hegyhati and Friedler (2010). One of the key parameters for batch scheduling problems is the storage policy of the process, that depends both on the physical and chemical properties of the process materials, and the storage capacity of the given plant. While the latter defines capacity constraints (unlimited-, finiteor nonintermediate storage), the former limits the storage time of the material (unlimited-, limitedor zero-wait). Most of the published approaches tackle zero-wait or limited-wait policies by adding supplementary constraints to an existing MILP formulation (Shaik and Floudas, 2009). In the present work, the formerly introduced S-graph framework is extended with a combinatorial approach to address zeroand limited-wait policies." @default.
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- W2582100044 date "2011-04-20" @default.
- W2582100044 modified "2023-09-24" @default.
- W2582100044 title "Combinatorial approach to address batch scheduling problems with limited storage time" @default.
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- W2582100044 doi "https://doi.org/10.3303/cet1125083" @default.
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