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diff --git a/_sources/notebooks/02/02.00.md b/_sources/notebooks/02/02.00.md
@@ -18,14 +18,14 @@ Linear problems can (i) be maximization problems, (ii) involve equality constrai
 
 This chapter includes several with companion Pyomo implementation that explore various modeling and implementation aspects of LOs:
 
-* A first LO example, modelling [the microchip production problem of company BIM](01-bim.ipynb)
+* [Microchip production problem of company BIM](01-bim.ipynb)
 * [Least Absolute Deviation (LAD) Regression](02-lad-regression.ipynb)
 * [Mean Absolute Deviation (MAD) portfolio optimization](03-mad-portfolio-optimization.ipynb)
 * [The dual problem of the microchip production problem](04-bim-dual.ipynb)
 * [A variant of BIM problem: maximizing the lowest possible profit](05-bim-maxmin.ipynb)
 * [Two variants of the BIM problem using fractional objective or additional fixed costs](06-bim-fractional.ipynb)
-* [The BIM production problem using demand forecasts](07-bim-rawmaterialplanning)
+* [The BIM production problem using demand forecasts](07-bim-raw-material-planning.ipynb)
 * [Extra material: Wine quality prediction problem using $L_1$ regression](08-L1-regression-wine-quality.ipynb)
-* [Extra material: Multi-product facility production](09-multiproductionfaciliity_worstcase.ipynb)
+* [Extra material: Multi-product facility production](09-production-faciliity-worst-case.ipynb)
 
 Go to the [next chapter](../03/03.00.md) about mixed-integer linear optimization.
diff --git a/...books/02/07-bim-rawmaterialplanning.ipynb → ...notebooks/02/07-bim-demand-forecast.ipynb b/...books/02/07-bim-rawmaterialplanning.ipynb → ...notebooks/02/07-bim-demand-forecast.ipynb
diff --git a/...-multiproductionfaciliity_worstcase.ipynb → .../09-production-faciliity-worst-case.ipynb b/...-multiproductionfaciliity_worstcase.ipynb → .../09-production-faciliity-worst-case.ipynb