Sources and Further Reading

All process data, kinetic coefficients, costs, uncertainty bounds, and operating scenarios in this volume are synthetic teaching assumptions. They are fully specified in the problem statements and Python modules. The examples are original instructional instances; no industrial performance or safety guarantee is implied.

Software references:

• Pyomo, APPSI HiGHS interface. Official solver documentation. Used for the linear and mixed-integer reference models.
• Quarto, Book Structure. Official book documentation. Used to organize the six parts and separate editions.
• Quarto, PDF Basics. Official PDF documentation. Used for the A4 XeLaTeX publication output.

The robust blending counterpart follows directly from the LP dual of the stated uncertainty support function. The scheduling check follows exhaustive enumeration of four-job permutations. The reactor formulas follow the stated first-order, constant-density, isothermal assumptions. Students should derive these relationships from the balances and assumptions shown in the relevant chapter rather than treat them as universal process laws.