Adding Multiperiod Blending Problem to GDPlib

gdplib/__init__.py

@@ -23,3 +23,4 @@
 import gdplib.small_batch
 import gdplib.cstr
 import gdplib.reverse_electrodialysis
+import gdplib.multiperiod_blending

gdplib/multiperiod_blending/README.md

@@ -0,0 +1,8 @@
+# Multiperiod Blending Problem
+This model is a GDP formulation for the Multiperiod Blending Problem. This model was originally formulated by Lotero et. al. and Ovalle et. al. developed 60 test instances which have can be found in `instances_json/`. If you want to learn more about the problem and instances please see the following github repo: https://github.com/arshb11/mpbp-instances. 
+
+If you decide to use these instances or model, please cite the following papers:
+
+> Ovalle, D., Bhatia, A., Laird, C. D., & Grossmann, I. E. (2026). A logic-based decomposition for the global optimization of the multiperiod blending problem using symmetry-breaking cuts. Industrial & Engineering Chemistry Research, 65(7), 3981–3998. https://doi.org/10.1021/acs.iecr.5c02853
+> 
+> Lotero, I., Trespalacios, F., Grossmann, I. E., Papageorgiou, D. J., & Cheon, M.-S. (2016). An MILP-MINLP decomposition method for the global optimization of a source based model of the multiperiod blending problem. Computers & Chemical Engineering, 87, 13–35. https://doi.org/10.1016/j.compchemeng.2015.12.017 

gdplib/multiperiod_blending/__init__.py

@@ -0,0 +1,3 @@
+from .multiperiod_blending import build_model
+
+__all__ = ["build_model"]