Enterprise-wide modeling &amp; optimization—An overview of emerging research challenges and opportunities

Varma, Vishal A.; Reklaitis, Gintaras V.; Blau, Gary; Pekny, Joseph F.

doi:10.1016/j.compchemeng.2006.11.007

Cited by 180 publications

(119 citation statements)

References 59 publications

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“…Fulfilling strategic plans depends on the execution of tactical decisions [7]. For example, strategic R&D management involves project selection, budgeting, and commercialization, while tactical R&D addresses the scheduling and resource management necessary for the accomplishment of the project.…”

Section: The Importance Of Reliable Unit Operation Modelsmentioning

confidence: 99%

A Framework for the Development of Integrated and Computationally Feasible Models of Large-Scale Mammalian Cell Bioreactors

Farzan

Ierapetritou

2018

Processes

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Industrialization of bioreactors has been achieved by applying several core concepts of science and engineering. Modeling has deepened the understanding of biological and physical phenomena. In this paper, the state of existing cell culture models is summarized. A framework for development of dynamic and computationally feasible models that capture the interactions of hydrodynamics and cellular activities is proposed. Operating conditions are described by impeller rotation speed, gas sparging flowrate, and liquid fill level. A set of admissible operating states is defined over discretized process parameters. The burden on a dynamic solver is reduced by assuming hydrodynamics at its fully developed state and implementation of compartmental modeling. A change in the conditions of operation is followed by hydrodynamics switching instantaneously to the steady state that would be reached under new conditions. Finally, coupling the model with optimization solvers leads to improvements in operation.

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Section: The Importance Of Reliable Unit Operation Modelsmentioning

confidence: 99%

A Framework for the Development of Integrated and Computationally Feasible Models of Large-Scale Mammalian Cell Bioreactors

Farzan

Ierapetritou

2018

Processes

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“…On the other hand, it poses several challenges, due to the size and complexity of the mathematical problem to formulate and solve, as well as to the amount of data which are required (Varma, Reklaitis, Blau, & Pekny, 2007). Often, the nature of the problem requires the formulation of large scale non-linear and nonconvex problems (Karuppiah & Grossmann, 2006) whose solution to global optimality is still an open problem.…”

Section: Introductionmentioning

confidence: 99%

A systematic framework for enterprise-wide optimization: Synthesis and design of processing networks under uncertainty

Quaglia

Sarup²,

Sin

et al. 2013

Computers & Chemical Engineering

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“…In order to make this integration efficient for solving real-world problems, special-purpose models and decomposition algorithms need to be investigated. Reviews by [1] and [2] provide more details on the relevance of EWO activities in academic research and industrial practice. The focus of this work is on integrated planning and scheduling for batch processes.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Bilevel-Lagrangean Decomposition Scheme for the Integration of Planning and Scheduling of a Network of Batch Plants

Calfa

Agarwal

Grossmann

et al. 2013

Ind. Eng. Chem. Res.

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Motivated by a real-world industrial problem, this work deals with the integration of planning and scheduling in the operation of a network of batch plants. The network consists of single-stage, multiproduct batch plants located in different sites, which can exchange intermediate products in order to blend them to obtain finished products. The time horizon is given and divided into multiple time periods, at the end of which the customer demands have to be exactly satisfied. The planning model is a simplified and aggregate formulation derived from the detailed precedence-based scheduling formulation. Traveling Salesman Problem (TSP) constraints are incorporated at the planning level in order to predict the sequence-dependent changeovers between groups of products, within and across time periods, without requiring the detailed timing of operations, which is performed at the scheduling level. In an effort to avoid solving the full-space, rigorous scheduling model, especially for large problem sizes, two decomposition strategies are investigated: Bilevel and Temporal Lagrangean. We demonstrate that Bilevel Decomposition is efficient for small to medium problem instances and that further decomposition of the planning problem, yielding a hybrid decomposition scheme, is advantageous for tackling a large-scale industrial test case. ysl ill t 0-1 variable to force only one plant l to ship product i to customer l at time period t Notation Planning Model Variablesyg gult 0-1 variable to denote the assignment of group g to unit u of plant l at time period t ygf gult 0-1 variable to denote the first group g assigned to unit u of plant l at time period t ygl gult 0-1 variable to denote the last group g assigned to unit u of plant l at time period t yp iult 0-1 variable to denote the assignment of product i to unit u of plant l at time period t zg gg ult 0-1 variable to denote if group g is followed by group g in unit u of plant l within time period t zzg gg ult 0-1 variable to denote if link between group g and group g in unit u of plant l within time period t is broken zzzg gg ult 0-1 variable to denote a changeover between group g and group g in unit u of plant l across time period t Unit-Specific General Precedence Model VariablesT e iult End time of product i in unit u of plant l at time period t T s iult Start time of product i in unit u of plant l at time period t 4 wp ii ult 0-1 variable to denote changeover between product i and product i in unit u of plant l across time period t xp ii ult 0-1 variable to denote local precedence between product i and product i in unit u of plant l within time period t yp iult 0-1 variable to denote the assignment of product ito unit u of plant l at time period t ypf iult 0-1 variable to denote the first product i assigned to unit u of plant l at time period t ypl iult 0-1 variable to denote the last product i assigned to unit u of plant l at time period t zp ii ult 0-1 variable to denote global precedence between product i and product i in unit u of plant l within time period t

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Enterprise-wide modeling & optimization—An overview of emerging research challenges and opportunities

Cited by 180 publications

References 59 publications

A Framework for the Development of Integrated and Computationally Feasible Models of Large-Scale Mammalian Cell Bioreactors

A Framework for the Development of Integrated and Computationally Feasible Models of Large-Scale Mammalian Cell Bioreactors

A systematic framework for enterprise-wide optimization: Synthesis and design of processing networks under uncertainty

Hybrid Bilevel-Lagrangean Decomposition Scheme for the Integration of Planning and Scheduling of a Network of Batch Plants

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