Optimal design of reliable integrated chemical production sites

Terrazas-Moreno, Sebastian; Grossmann, Ignacio E.; Wassick, John M.; Bury, Scott J.

doi:10.1016/j.compchemeng.2010.07.027

Cited by 22 publications

(15 citation statements)

References 15 publications

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“…The second challenge is that the normal distribution of the repair times causes the variance of the residence time in each state to be different than that calculated assuming an exponential distribution. As indicated in our previous work (Terrazas-Moreno et al, 2010), the asymptotic values of the probabilities of the states and the mean residence time can be obtained analytically for any type of distribution as long as we have the mean failure and repair times. Unfortunately, this is not the case for the variance of the residence times.…”

Section: Large-scale Examplementioning

confidence: 96%

“…We use the small example shown in Figure 9 that was presented in our previous work (Terrazas-Moreno et al, 2010) to illustrate the proposed algorithm. The model and process data required to solve this example are available in Appendix A.…”

Section: Application To the Design Of Integrated Sites (Is) Illustratmentioning

confidence: 99%

“…The appendix of this paper contains the complete mathematical formulation. Details of the model and a description of each of the constraints can be found in Terrazas-Moreno et al (2010).…”

Section: Mixed-integer Linear Programming Modelmentioning

confidence: 99%

“…The following list of given data, degrees of freedom, optimization criteria, and assumptions is reproduced with minor changes from Terrazas-Moreno et al (2010).…”

Section: Problem Statementmentioning

confidence: 99%

“…In our previous work (Terrazas-Moreno et al, 2010), we proposed a mixedinteger linear programming (MILP) model for the optimal design of integrated sites subject to random failures and random supply and demand. The optimization criteria were the maximization of the probability of meeting customer demands and the minimization of capital investment.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

An efficient method for optimal design of large-scale integrated chemical production sites with endogenous uncertainty

Terrazas-Moreno¹,

Grossmann²,

Wassick³

et al. 2012

Computers & Chemical Engineering

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Integrated sites are tightly interconnected networks of large-scale chemical processes.Given the large-scale network structure of these sites, disruptions in any of its nodes, or individual chemical processes, can propagate and disrupt the operation of the whole network. Random process failures that reduce or shut down production capacity are among the most common disruptions. The impact of such disruptive events can be mitigated by adding parallel units and/or intermediate storage. In this paper, we address the design of large-scale, integrated sites considering random process failures. In a previous work (Terrazas-Moreno et al., 2010), we proposed a novel mixed integer linear programming (MILP) model to maximize the average production capacity of an integrated site while minimizing the required capital investment. The present work deals with the solution of large-scale problem instances for which a strategy is proposed that consists of two elements. On one hand, we use Benders decomposition to overcome the combinatorial complexity of the MILP model. On the other hand, we exploit discrete-rate simulation tools to obtain a relevant reduced sample of failure scenarios or states. We first illustrate this strategy in a small example. Next, we address an industrial case study where we use a detailed simulation model to assess the quality of the design obtained from the MILP model.

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Section: Large-scale Examplementioning

confidence: 96%

Section: Application To the Design Of Integrated Sites (Is) Illustratmentioning

confidence: 99%

“…The appendix of this paper contains the complete mathematical formulation. Details of the model and a description of each of the constraints can be found in Terrazas-Moreno et al (2010).…”

Section: Mixed-integer Linear Programming Modelmentioning

confidence: 99%

“…The following list of given data, degrees of freedom, optimization criteria, and assumptions is reproduced with minor changes from Terrazas-Moreno et al (2010).…”

Section: Problem Statementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An efficient method for optimal design of large-scale integrated chemical production sites with endogenous uncertainty

Terrazas-Moreno¹,

Grossmann²,

Wassick³

et al. 2012

Computers & Chemical Engineering

Self Cite

View full text Add to dashboard Cite

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Resilience‐aware design of interconnected supply chain networks with application to water‐energy nexus

Tsolas

Hasan

2021

AIChE Journal

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The effects of natural disasters, pandemic‐induced lockdowns, and other disruptions often cascade across networks. In this work, we use minimum cost of resilience (MCOR) and operation‐based resilience metrics to quantify network performance against single‐connectivity failures and identify critical connections in interconnected networks. MCOR corresponds to the minimum additional infrastructure investment that is required to achieve a certain level of resilience. To guarantee MCOR, we incorporate the metrics in a multi‐scenario mixed‐integer linear program (MILP) that accounts for resilience in the design phase of interconnected networks. The goal is to obtain optimal generation and transportation capacities with flexible operation under all single‐connectivity disruption scenarios. We demonstrate the applicability of our resilience‐aware framework on a water‐energy nexus (WEN) example focusing on grass‐root design and retrofitting. We further apply the framework to analyze a regional WEN and observe that it is possible to achieve “full” resilience in the expense of additional regional investments.

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A mathematical modeling approach for supply chain management under disruption and operational uncertainty

Badejo

Ierapetritou

2023

AIChE Journal

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In this work, we proposed a two-stage stochastic programming model for a fourechelon supply chain problem considering possible disruptions at the nodes (supplier and facilities) as well as the connecting transportation modes and operational uncertainties in form of uncertain demands. The first stage decisions are supplier choice, capacity levels for manufacturing sites and warehouses, inventory levels, transportation modes selection, and shipment decisions for the certain periods, and the second stage anticipates the cost of meeting future demands subject to the first stage decision. Comparing the solution obtained for the two-stage stochastic model with a multi-period deterministic model shows that the stochastic model makes a better first stage decision to hedge against the future demand. This study demonstrates the managerial viability of the proposed model in decision making for supply chain network in which both disruption and operational uncertainties are accounted for.

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Optimal design of reliable integrated chemical production sites

Cited by 22 publications

References 15 publications

An efficient method for optimal design of large-scale integrated chemical production sites with endogenous uncertainty

An efficient method for optimal design of large-scale integrated chemical production sites with endogenous uncertainty

Resilience‐aware design of interconnected supply chain networks with application to water‐energy nexus

A mathematical modeling approach for supply chain management under disruption and operational uncertainty

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