Applications of mixed-integer linear programming in process synthesis

Grossmann, Ignacio E.; Mendiola-Santibáñez, Jorge D.

doi:10.1016/0098-1354(80)85001-0

Cited by 65 publications

(36 citation statements)

References 6 publications

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“…The hierarchical procedure is described in terms of a sequential set of decisions where additional details are incorporated to the flowsheet and the economic potential function at each decision level . The algorithmic design approach which relies on the use of mathematical programming techniques. From a conceptual viewpoint, the synthesis problem can be formulated as a discrete/continuous optimization problem, which mathematically gives rise to a mixed‐integer nonlinear programming (MINLP) problem; see e.g., .…”

Section: Designing Process Systemsmentioning

confidence: 99%

Design and engineering of sustainable process systems and supply chains by the P‐graph framework

Cabezas

Argoti

Friedler

et al. 2018

Env Prog and Sustain Energy

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The design of sustainable manufacturing processes and supply chains is rapidly becoming a critical issue. The reason is the necessity of providing for the needs of a growing human population which is increasingly prosperous across the globe. To this purpose, this review article explores the most important elements of sustainability science and couples them with the P‐graph framework, thereby rendering it possible to design feasible process and supply structures with great ease. Structure is an often‐overlooked aspect of process and supply chain design, in part because even relative simple processes or supply chains can have an enormous number of feasible structures. We further illustrate the application of these ideas with examples of energy generation processes and supply chains. © 2017 American Institute of Chemical Engineers Environ Prog, 37: 624–636, 2018

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Section: Designing Process Systemsmentioning

confidence: 99%

Design and engineering of sustainable process systems and supply chains by the P‐graph framework

Cabezas

Argoti

Friedler

et al. 2018

Env Prog and Sustain Energy

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show abstract

“…Many earlier studies tackled different expansion problems in the chemical industry including the NLP formulation by Himmelblau and Bickel (1980) and the multiperiod MILP model by Grossmann and Santibanez (1980) and the recursive MILP model by Jimenez and Rudd (1987). A common drawback among these studies was their limitation of problem size due to computational burden.…”

Section: Literature Reviewmentioning

confidence: 99%

Multisite Refinery Network Integration and Coordination

Al‐Qahtani

Elkamel

2010

Planning and Integration of Refinery and Petrochemical Operations

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“…With respect to the operating strategy optimization (scheduling) of an energy system, Grossmann and Santibanez [5] presented a MILP (mixed-integer linear programming) formulation for optimizing the size and the operating schedule of an industrial process with limited number of time steps. However, the possibility of heat recovery and peak shaving through heat storage utilization was not included.…”

Section: Introductionmentioning

confidence: 99%