Optimization optimal multiproduct batch plant

Combining equations (7.4-24)-(7.4-26) gives a system of non-linear equations that can be solved using iterative techniques. Savings in equipment costs as compared to initial guesses are approximately 30 %. The real savings will be lower because the optimal choices for equipment units are usually not available on the chemical equipment market. The standard sizes greater but nearest to the optimal sizes will be selected. The total cost for the standard equipment is very close to the minimum found. Robinson and Loonkar (1972) extended their procedure for multiproduct batch plants. 

Lin, X., Floudas, C.A., Modi, S. and Juhasz, N.M. (2002) Continuous-time optimization approach for medium-range production scheduling of a multiproduct batch plant. Ind. Eng. Chem. Res., 41, 3884-3906. 

D. B. Birewar and I. E. Grossmann. Incorporating scheduling in the optimal design of multiproduct batch plants. Comp. Chem. Eng., 13 141, 1989. 

V. T. Voudouris and I. E. Grossmann. Optimal synthesis of multiproduct batch plants with cyclic scheduling and inventory considerations. Ind. Eng. Chem. Res., 32 1962,1993. 

A. Dietz, C. Azzaro-Pantel, L. Pibouleau, S. Domenech, 2006, Multiobjective optimization for multiproduct batch plant design under eeonomie and environmental considertions. Comp. Chem, Eng, 30, 599-613. 

Dietz, A., Pebouleau, L., Pantel, C. A. and Domenech, S. (2006). Multi-objective optimization for multiproduct batch plant design under economic and environmental considerations, Comput. Chem. Eng., 30, pp. 599-613. 

Disjunctive programming model and a rolling horizon algorithm for optimal multiperiod capacity expansion in a multiproduct batch plant... 

Garcfa-Ayala, G., Rios-Mercado, R.Z., and Chacdn-Mondragdn, O.L. (2012) A disjunctive programming model and a rolling horizon algorithm for optimal multiperiod capacity expansion in a multiproduct batch plant. Computers Chemical Engineering, 46,29-38. 

Vaselenak, JA., Grossmann, I.E., and Westerberg, A.W. (1987) Optimal retrofit design of multiproduct batch plants. Industrial Engineering Chemistry Research, 26 (4), 718-726. 

Rippin, D.W.T. (1983) Simulation of single and multiproduct batch chemical plants for optimal design and operation. Comput. Chem. Eng., 7 (3), 137-156. 

Whatever the case of batch plants, either of multiproduct or multipurpose nature, few works have addressed the retrofit problem compared with the batch plant design problem. Most of the mathematical formulations used to model the retrofit problem usually lead to optimization-oriented problems. It must be also emphasized that scheduling is intrinsically associated with batch plant design/retrofit, and is part and parcel of the formulation of both issues. It can be considered as a sub-problem of the design/retrofit problem. As highlighted in the compared formulation of these companion problems, the retrofit problem appears to be a more constrained problem. Yet, the basic solution strategy involves the same mathematical approaches and tools. 

Batch process simulation is a computer modeling technique used for the design, analysis, and optimization of batch manufacturing processes. Batch process manufacturing is practiced in industries that produce low-volume, high-value products such as pharmaceuticals, fine chemicals, biochemicals, food, consumer products, etc. Most batch manufacturing facihties are multiproduct plants that produce a variety of products. 

For batch processes, which are predominant in the manufacture of specialty chemicals, Chapter 12 provides an introduction to the methods of optimizing the design and scheduling of these processes. Individual process units, combinations of reactors and separators, and multiproduct plants are considered. 

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